CN103560532A - Monitoring system and monitoring method of megawatt battery energy storage power station - Google Patents

Monitoring system and monitoring method of megawatt battery energy storage power station Download PDF

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CN103560532A
CN103560532A CN201210091324.1A CN201210091324A CN103560532A CN 103560532 A CN103560532 A CN 103560532A CN 201210091324 A CN201210091324 A CN 201210091324A CN 103560532 A CN103560532 A CN 103560532A
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energy storage
power
module
value
substation
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CN103560532B (en
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李相俊
惠东
来小康
贾学翠
王立业
郭光朝
王平
梁廷婷
张亮
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STATE GRID XINYUAN ZHANGJIAKOU SCENERY STORAGE DEMONSTRATION POWER PLANT CO Ltd
China Electric Power Research Institute Co Ltd CEPRI
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STATE GRID XINYUAN ZHANGJIAKOU SCENERY STORAGE DEMONSTRATION POWER PLANT CO Ltd
China Electric Power Research Institute Co Ltd CEPRI
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Abstract

The invention provides a monitoring system and a monitoring method of a megawatt battery energy storage power station. The system comprises a central monitoring module and a local monitoring module. The two modules are in communication and connection by adopting a communication network structure in which a real-time communication network and a non-real-time monitoring communication network are in parallel. The method comprises the following steps: reading related data of the battery energy storage power station through the communication networks, and performing storage and management; determining the total power demand of the battery energy storage power station; determining the power command value of each energy storage substation and issuing the power command value to each local monitoring module; calculating the power command value of each energy storage unit in the energy storage substation, and issuing the power command value to each energy storage unit; and uploading the power command value, the real-time data and the non-real-time data of each energy storage unit in the local monitoring module to the central monitoring module for unified storage and management. The system and the method can be used to satisfy the monitoring requirements on energy storage unit cluster-type real-time and fast control and mass of transmitted data, so that the health operation of batteries can be ensured so as to make the energy storage power station more safe and stable.

Description

A kind of supervisory control system of MW class battery energy storage power station and method thereof
Technical field
The invention belongs to intelligent grid and stored energy and switch technology field, be specifically related to a kind of supervisory control system and method thereof of MW class battery energy storage power station, be particularly useful for monitoring and the management of extensive battery energy storage power station grid-connected system.
Background technology
Country's wind-light storage transmission demonstration project is that State Grid Corporation of China builds the first batch of pilot project of strong intelligent grid, " the friendly type of the electrical network " generation of electricity by new energy of take is target, take " advance, flexibility, exemplary, economy " be feature, be the renewable energy comprehensive demonstration project of worldwide largest, collection wind-powered electricity generation, photovoltaic generation, energy storage and power transmission engineering quaternity at present.Wherein, national wind-light storage transmission demonstration project (first phase) is planned to build and is established wind-powered electricity generation 100MW, photovoltaic generation 40MW and energy storage device 20MW (comprising 14MW lithium ion battery energy storage system and 2MW redox flow battery energy storage system).
Along with the development of battery and integrated technology thereof, application model large-scale distributed and centralized battery energy storage power station will progressively become a kind of preferred version.A large amount of energy-accumulating power stations come into operation at power distribution network end; make the monitoring range of energy storage device wider; monitoring requirement is higher; must there is real-time monitoring and a protection perfect, information platform open-ended, standard supports power distribution network end energy-accumulating power station; realize accurately, truly, monitoring timely; make Correct Analysis, adopt an effective measure.
The conventional electric power supervisory control system of contrast the past and the management and monitoring platform of grid-connected power generation system, be not difficult to find, in extensive battery energy storage power station, due to the use of a large amount of batteries, causes remote measurement, remote signalling amount sharply to increase, and data traffic is very huge.Therefore; the specific question occurring in energy-accumulating power station management, monitoring in order to solve this; must develop and have high-speed communication; high reliability; large database concept capacity; the Comprehensive Control scheme that is completely newly applicable to power distribution network end energy-accumulating power station of the technical characterstics such as high speed real-time response and monitoring hardware and software platform, for power distribution network end cell energy-accumulating power station monitoring with protection provides comprehensively, effective technical support.
Energy-accumulating power station supervisory control system is guaranteeing under reliable and stable prerequisite, need meet the performance requirement of power distribution network terminal temperature difference Real-Time Scheduling and management and control, the demand of the various application scenarioss of high-speed response electrical network to energy-storage system, these research and development to monitoring system platform have brought huge challenge.Be no matter at aspects such as monitoring system structure and communication network optimize, hardware support system development, real-time response Human Machine Interfaces, all face considerable problem and constraints.
About the monitoring of polymorphic type battery energy storage power station and the patent of the aspect that is incorporated into the power networks, document, technical report etc. are considerably less on a large scale, need further investigation and explore at present.
Summary of the invention
For overcoming the defect of prior art, one of object of the present invention is to provide a kind of supervisory control system of safer stable MW class battery energy storage power station, this system can not only meet controls the monitoring requirement with hundreds thousand of transmission data real-time to energy storage unit concentrating type, can also reduce to greatest extent deterioration of battery, ensure battery health operation.
The supervisory control system of MW class battery energy storage power station of the present invention is achieved by the following technical solution:
A supervisory control system for MW class battery energy storage power station, it comprises:
CSRC module, gives each local monitor module for power command value the real time down of each energy storage substation of definite battery energy storage power station;
Local monitor module, each local monitor module is administered respectively an energy storage substation, it is for calculating the power command value of each energy storage unit of administered energy storage substation real time down to each energy storage unit, and the power command value of each energy storage unit is uploaded to CSRC module stores;
Between described CSRC module and local monitor module, adopt communication network to carry out transfer of data and communicate by letter, described communication network adopts Real Time Communication Network and the parallel network configuration of non real-time monitoring communication network.
Wherein, the related data of battery energy storage power station comprises the real time data of transmitting by Real Time Communication Network and the non-real-time data transmitting by monitoring communication network; Described real time data comprises the real time data of upper strata data dispatching, wind light generation data and all energy storage units, and described non-real-time data comprises the non-real-time data of all energy storage units, particularly:
Upper strata data dispatching comprises following arbitrary to total data: follow the tracks of plan generating curve values, system loading curve values, peak load shifting curve values, system frequency modulation power command value, battery energy storage power station overall power requirement, battery energy storage power station load value and wind-solar-storage joint generating total power value etc.;
Wind light generation data comprise following arbitrary to total data: the level and smooth desired value of wind light generation, wind light generation fluctuation ratio value, wind light generation total power value, wind light generation planned value; Each photovoltaic generation unit active power, each photovoltaic generation unit operating state, photovoltaic generation total power value, photovoltaic generation rated power, photovoltaic generation predicted power etc. in each wind turbine generator active power, each wind turbine generator operating state, wind power generation total power value, wind power generation rated power, wind power generation predicted power etc. and photovoltaic generation factory in wind power plant;
The real time data of energy storage unit comprises following arbitrary to total data: the rated power of energy storage unit, actual power value, state information (as: controllable signal, operating state, alarm status, guard mode, the state etc. of adjusting), mode of operation, available charging capacity, available discharge capacity, the maximum charge power that allows, the maximum discharge power that allows, state-of-charge value, discharge condition value, the actual total power value of health status value and battery energy storage power station (equaling the summation of all energy storage unit actual power values) etc.,
The non-real-time data of energy storage unit comprises following arbitrary to total data: the information of voltage of each battery cell, temperature information and non real-time state information etc. in energy storage unit.
The method for supervising that another object of the present invention is to propose a kind of MW class battery energy storage power station, it comprises the steps:
Steps A, CSRC module read the related data of battery energy storage power station by communication network, and above-mentioned data are carried out to store and management, and described communication network adopts Real Time Communication Network and the parallel network configuration of non real-time monitoring communication network;
Step B, based on CSRC module, determine battery energy storage power station overall power requirement;
Step C, based on CSRC module, determine the power command value of each energy storage substation in battery energy storage power station, and be handed down to each local monitor module;
Step D, based on local monitor module, calculate the power command value that this module is administered each energy storage unit in energy storage substation, and be handed down to each energy storage unit; In this module, calculate the current controllable state, state-of-charge of the energy storage substation of administering etc. simultaneously;
Step e, by be stored in the power command value of each energy storage unit in local monitor module temporarily,, being uploaded to CSRC module by communication network, current controllable state, state-of-charge, real time data and the non-real-time data of the energy storage substation of administering carry out store and management.
In described steps A, first by communication network, read the related data of battery energy storage power station; Again the related data of battery energy storage power station is stored, and by this related data assignment to the corresponding interface variable.
In described step B, can need to select corresponding computational methods to calculate or directly read the battery energy storage power station overall power requirement that outside control centre issues according to actual monitored.
In described step C, according to the symbol of current battery energy storage power station overall power requirement, by state-of-charge value or the discharge condition value of controllable signal, battery energy storage power station overall power requirement and the energy storage substation of energy storage substation, calculate in real time the power command value of each energy storage substation in battery energy storage power station.
In described step D, according to the power command value symbol of energy storage substation, select to allow discharge power or the maximum charge power that allows to calculate the decision variable of each energy storage unit by maximum, and then ask for the power command value of each energy storage unit; And judge whether each energy storage unit meets maximum discharge power constraints or the maximum charge power constraints that allows of allowing, if against anti-phase energy storage unit of answering constraints, by maximum, allow discharge power or the maximum power command value that allows charge power to recalculate this energy storage unit; Otherwise, finish judgement.
In described step e, be uploaded to when being stored in the power command value of each energy storage unit in local monitor module and real time data by real-time communication network implementation temporarily and in CSRC module, carry out store and management, the non-real-time data that is temporarily stored in each energy storage unit in local monitor module is uploaded to and in CSRC module, is carried out store and management by non real-time monitoring communication network.
Compared with prior art, the invention has the beneficial effects as follows:
1) network configuration that supervisory control system of the present invention and method adopt Real Time Communication Network and non real-time monitoring communication network and deposit, met that energy storage unit concentrating type is controlled real-time and the status monitoring requirement of hundreds thousand of energy-storage batteries, reduced to greatest extent deterioration of battery, and ensure battery health operation, make battery energy storage power station safety and stability more;
2) supervisory control system of the present invention is calculated the related data of battery energy storage power station by central energy management module, and carry out on-line monitoring and energy management by stable state, the multi-angle MW class battery energy storage power station such as dynamic, realize the active safety control of unified access, Real-Time Scheduling management and the Multi-level Coordination of each battery energy storage unit in integrated extensive battery energy storage power station system, to solve battery energy storage power station, coordinate the problem of control and energy management; In addition, because supervisory control system of the present invention and method are supported level and smooth honourable power stage, tracking plan generating, participated in the multiple Premium Features of the extensive battery energy storage power stations such as system frequency modulation, peak load shifting, safety and stability control simultaneously, have wide range of applications.
Accompanying drawing explanation
Fig. 1 is the system access schematic diagram in polymorphic type lithium battery energy storage battery power station in the present invention;
Fig. 2 is the enforcement block diagram of MW class battery energy storage power station supervisory control system of the present invention and embodiment of the method.
Embodiment
Below in conjunction with the drawings and specific embodiments, monitoring system of the present invention and monitoring method thereof are described in further detail.
Figure 1 shows that the system topological figure in the 14MW lithium battery energy storage battery power station configuring in current Zhangbei County country wind-light storage transmission Demonstration Station.As shown in Figure 1, the wind-solar-storage joint electricity generation system of battery energy storage power station access comprises wind power plant, photovoltaic generation field, battery energy storage power station and electrical network.Wind power plant, photovoltaic generation field and battery energy storage power station are connected with electrical network by transformer respectively.The inside connection diagram of wind power plant and photovoltaic generation field is omitted at this.In this example, 14MW lithium battery energy storage battery power station comprises 9 lithium battery energy storage battery substations that are in parallel, and each battery energy storage substation is the ac bus to 35kV by a transformers connected in parallel.Each lithium battery energy storage battery substation comprises a plurality of lithium battery energy storage battery units that are in parallel, each energy storage unit comprises two way convertor and a plurality of lithium ion battery group, by two way convertor, can be carried out power instruction etc. is controlled and discharged and recharged to the switching of lithium ion battery group.
Fig. 2 is for monitoring the structural representation of the supervisory control system in the power station of lithium battery energy storage battery shown in Fig. 1.As shown in Figure 2, battery energy storage power station supervisory control system in this example comprises: CSRC module and local monitor module, between CSRC module and local monitor module, adopt communication network to carry out transfer of data and communicate by letter, described communication network adopts Real Time Communication Network and the parallel network configuration of non real-time monitoring communication network.
(1) CSRC module
This module is given each local monitor module for power command value the real time down of each energy storage substation, definite this power station; In addition, this module is also for realizing monitoring and processing, the data communication of all monitor datas in energy-accumulating power station and energy-accumulating power station being moved to the functions such as supervision.CSRC module mainly comprises center system supporting module, central energy management module, centralized storage module and central communication module, wherein,
1A) center system supporting module, for reading the related data of battery energy storage power station, and is sent to centralized storage module; This center system supporting module further comprises:
Centric acquisition module: for reading the related data of battery energy storage power station;
Central authorities to time module: for providing by hardware timestamping regularly and frequency accuracy; With
Central interface unit: for providing battery energy storage power station required various interface function, in addition, also comprise basic application software package, user program and set of tools etc.
1B) central energy management module, this module can configure multiple senior application according to actual needs, for calculating in real time battery energy storage power station overall power requirement according to concrete application, further determine again the power command value of each energy storage substation in battery energy storage power station, and be sent to centralized storage module, thereby realize battery energy storage power station is carried out to energy management, and (multiple application comprises that level and smooth honourable power exerts oneself to realize the multiple concrete application of battery energy storage power station, follow the tracks of plan generating, participation system frequency modulation, peak load shifting, safety and stability control etc.), and realize the real-time status monitoring of whole energy-accumulating power station and warning function by real-time information interaction.This central authorities' energy management module further comprises:
The level and smooth honourable power module of exerting oneself: stabilize wind light generation based on adaptive filtering technique and FEEDBACK CONTROL and go out fluctuation.Introduce the FEEDBACK CONTROL of SOC and wind light generation fluctuation ratio and go level and smooth honourable power stage fluctuation.The level and smooth honourable power module of exerting oneself calculates in real time level and smooth wind light generation according to the SOC of current feedback and wind light generation fluctuation ratio and goes out the required battery energy storage power station overall power requirement of fluctuation, also calculate the current ability to work of battery energy storage power station simultaneously, when meeting level and smooth honourable power stage demand, effectively control SOC and wind light generation fluctuation ratio in setting range;
Follow the tracks of plan electricity generation module: for the difference between real-Time Compensation wind-solar-storage joint generating actual power and wind-light storage generation schedule.Follow the tracks of plan electricity generation module according to current battery operation state and battery remaining power value of feedback, calculate in real time tracking and plan required battery energy storage power station overall power requirement, also calculate the current ability to work of battery energy storage power station simultaneously;
Participation system frequency modulation module: the corresponding system frequency modulation power command value of support AGC directly issuing for meeting in real time outside control centre (comprising upper strata scheduling and North China network regulation).The information such as the corresponding system frequency modulation power command value of support AGC that participation system frequency modulation module issues according to outside control centre, current battery operation state and battery remaining power value of feedback, calculate in real time the required battery energy storage power station overall power requirement of participation system frequency modulation, also calculate the current ability to work of battery energy storage power station simultaneously;
Peak load shifting module: the energy-accumulating power station power demand order for peak load shifting issuing for meeting in real time outside control centre.Be the power command value corresponding to peak load shifting plan of real-time response upper strata dispatching down distributing, to guarantee the effect of peak load shifting.Peak load shifting module is according to current battery operation state and battery remaining power value of feedback, calculate in real time the required battery energy storage power station overall power requirement of peak load shifting, also calculate the current meritorious and idle ability to work of battery energy storage power station (as: capacity and current available maximum charging and discharging capabilities are used in current permission) simultaneously;
Safety and stability control module: the stable control command issuing according to outside control centre and relevant energy storage overall power requirement thereof, safety and stability control module is according to the state information of current each energy storage unit gathering, calculate in real time safety and stability and control required battery energy storage power station overall power requirement, also calculate the current meritorious and idle ability to work of battery energy storage power station (as: capacity and current available maximum charging and discharging capabilities are used in current permission) simultaneously, to guarantee the realtime power demand of system, guarantee normal, the safe and reliable work of energy-accumulating power station;
The real-time distribution module of energy-accumulating power station overall power requirement: based on arbitrary module battery energy storage power station overall power requirement that calculate or that outside control centre directly issues in above-mentioned six large modules, and according to the state information of current each energy storage unit gathering (as battery operation situation, current energy storage total capacity, the maximum charging and discharging capabilities of current energy-storage system, cell voltage, SOH and temperature etc.), calculate in real time each energy storage substation power command value, when guaranteeing battery energy storage power station overall power requirement, and prevent overcharging or overdischarge of battery; With
Data processing module: for reading the real time data of transmitting by central real-time communication module, and by corresponding data reach level and smooth honourable power exert oneself module, tracking plan electricity generation module, participate in calculating in system frequency modulation module, peak load shifting module, safety and stability control module or the real-time distribution module of energy-accumulating power station overall power requirement, then the result of calculating is reached to central real-time communication module and carry out real time communication, also reach in centralized storage module and unify store and management.
1C) centralized storage module, for carrying out storage and management to the related data of battery energy storage power station and each energy storage substation.The power command value of the related data of storage battery energy-accumulating power station and each energy storage substation, and by above-mentioned data and power command value assignment to the corresponding interface variable, for local monitor module and outside control centre, call.
1D) central communication module, comprises central real-time communication module and central non real-time communication module, and described central real-time communication module completes respectively the real-time communication function with local monitor module and outside control centre by Real Time Communication Network; The non real-time communication module of described central authorities completes respectively the non-realtime traffic function with local monitor module and outside control centre by non real-time monitoring communication network.
(2) local monitor module
Each local monitor module is respectively used to monitor a corresponding energy storage substation, this module is for calculating the power command value of each energy storage unit of corresponding energy storage substation real time down to each energy storage unit, and the power command value of each energy storage unit is uploaded to CSRC module stores; In addition; this module is carried out real time communication by local real-time communication module and each energy storage unit in energy storage substation of administering, and realizes the processing of local image data, on the spot monitoring; power division between local each energy accumulation current converter, the functions such as the local self diagnosis of energy storage device and protection.This local monitor module further comprises:
2A) local system supporting module, for read all energy storage units in the power command value of the corresponding energy storage of battery energy storage power station substation and this energy storage substation in real time, non-real-time data, and send to local memory module; This local system supporting module further comprises:
Local acquisition module: for reading the real time data of energy storage unit;
Local to time module: for providing by hardware timestamping regularly and frequency accuracy; With
Local interface unit: for this required various interface variable of each energy storage unit of energy storage substation that local monitor module is administered is provided, in addition, also comprise basic application software package, user program and set of tools etc.
2B) local energy administration module, for calculating the power command value of each energy storage unit of energy storage substation that this local monitor module administers, and is handed down to corresponding energy storage unit by power command value; To realize functions such as the diagnosis of the energy management of each energy storage unit in energy storage substation, energy storage substation and protection controls.
2C) local memory module, for the interim storage power command value of energy storage substation and power command value, real time data, the non-real-time data of these all energy storage units in energy storage substation; In monitor procedure, the power command value and the real time data that are stored in all energy storage units in this this locality memory module are reached to the central real-time communication module of CSRC module temporarily by local real-time communication module, and the non-real-time data of all energy storage units is uploaded to central non real-time communication by the non real-time communication module in this locality, and by unifying store and management in centralized storage module; When outside control centre need to transfer, can transmit power command value and the real time data of each energy storage unit and by central non real-time communication module, transmit the non-real-time data of each energy storage unit by central real-time communication module.
2D) local communication module, comprises local real-time communication module and local non real-time communication module.Wherein, the real-time communication function in the energy storage substation that local real-time communication module completes by Real Time Communication Network and CSRC module and local monitor module are administered between each energy storage unit; And the non-realtime traffic function between each energy storage unit in the energy storage substation that local non real-time communication module completes by non real-time monitoring communication network and CSRC module and local monitor module are administered.
As shown in Figure 2, the method for supervising of the battery energy storage power station of MW class described in this example, comprises the steps:
Steps A, by real-time, the non real-time communication module of the central authorities in CSRC module, read the related data of battery energy storage power station, and by the centralized storage module in CSRC module, above-mentioned data are carried out to store and management;
Step B, the central energy management module based in CSRC module are determined battery energy storage power station overall power requirement in real time;
Step C, based on central energy management module, determine in real time the power command value of each energy storage substation in battery energy storage power station, and by central real-time communication module by the power command value real time down of each energy storage substation to each local monitor module;
Step D, the local energy administration module based in local monitor module calculate the power command value that this local monitor module is administered each energy storage unit in energy storage substation, and give each energy storage unit based on local real-time communication module real time down; In this module, calculate the current controllable state, state-of-charge of the energy storage substation of administering etc. simultaneously;
Step e, by each energy storage unit in real time, the power command value of each energy storage unit that calculates of non-real-time data and step D, the current controllable state of the energy storage substation of administering, state-of-charge etc. be stored in the local memory module in local monitor module temporarily, then by local real-time communication module, the real time data of each energy storage unit and power command value are uploaded to central real-time communication module, by the non real-time communication module in this locality, the non-real-time data of each energy storage unit are uploaded to central non real-time communication module, and unify store and management in centralized storage module.
When outside control centre need to transfer data, can, based on communication protocol, the corresponding information of energy-accumulating power station be uploaded to outside control centre by real-time, the non real-time communication module of central authorities.
While carrying out data interaction between above steps, can adopt following communication mode:
1) the central real-time communication module of step C and the local real-time communication intermodule described in step D can pass through Real Time Communication Network, based on EPA (Ethernet for Plant Automation) or PROFINET real-time ethernet communication protocol, carry out real time communication;
2) the local real-time communication module of step D and the real-time communication intermodule of each energy storage unit, by Real Time Communication Network, carry out real time communication based on EPA (Ethernet for Plant Automation) or PROFINET real-time ethernet communication protocol;
3) between the non real-time communication module of the central authorities of step e and local non real-time communication module, pass through monitoring communication network, based on IEC104 communication protocol, carry out non-realtime traffic;
4) when outside control centre (for example, wind-solar-storage joint control centre and network regulation control centre, North China as shown in Figure 2) need to transfer data from central monitoring module time, by central communication module and outside control centre, adopt Real Time Communication Network, based on IEC104 communication protocol, carry out real time communication.
In steps A, centralized storage module is for the related data of storage battery energy-accumulating power station, and it is managed, that is: the agreement assignment of the related data of battery energy storage power station being pressed to setting in advance, to relevant interface variable, is called for local monitor module and outside control centre.
The related data of described battery energy storage power station comprises the real time data of transmitting by Real Time Communication Network and the non-real-time data transmitting by monitoring communication network; Described real time data comprises the real time data of setting data, upper strata data dispatching, wind light generation data and all energy storage units on energy-accumulating power station monitoring interface, and described non-real-time data comprises the non-real-time data of all energy storage units, wherein:
Setting data on energy-accumulating power station monitoring interface comprises that time constant filter, wind light generation fluctuation ratio desired value, energy-accumulating power station application model set point (for example can be set as, 1: the application model that level and smooth honourable power is exerted oneself, 2: the application model of following the tracks of generation schedule; 3: the application model, 4 that participates in system frequency modulation: the application model of peak load shifting, 5: the application model that safety and stability is controlled) etc.
Upper strata data dispatching comprises following arbitrary to total data: follow the tracks of plan generating curve values, system loading curve values (being system total load), peak load shifting curve values, system frequency modulation power command value, battery energy storage power station overall power requirement, battery energy storage power station load value and wind-solar-storage joint generating total power value etc.;
Wind light generation data comprise following arbitrary to total data: the level and smooth desired value of wind light generation, wind light generation fluctuation ratio value, wind light generation total power value, wind light generation planned value; Each photovoltaic generation unit active power, each photovoltaic generation unit operating state, photovoltaic generation total power value, photovoltaic generation rated power, photovoltaic generation predicted power etc. in each wind turbine generator active power, each wind turbine generator operating state, wind power generation total power value, wind power generation rated power, wind power generation predicted power etc. and photovoltaic generation factory in wind power plant;
The real time data of energy storage unit comprises following arbitrary to total data: the rated power of energy storage unit, actual power value, state information (as: controllable state, operating state, alarm status, guard mode, the state etc. of adjusting), mode of operation, available charging capacity, available discharge capacity, the maximum charge power that allows, the maximum discharge power that allows, state-of-charge value, discharge condition value, the actual total power value of health status value and battery energy storage power station (equaling the summation of all energy storage unit actual power values) etc.,
The non-real-time data of energy storage unit comprises following arbitrary to total data: the information of voltage of each battery cell, temperature information and non real-time state information etc. in energy storage unit.
In step B, battery energy storage power station overall power requirement bid value can obtain by following either method:
B1) by following formula, calculate current level and smooth wind light generation and go out the required battery energy storage power station overall power requirement of fluctuation:
Figure BDA0000148915520000091
And meet:
Figure BDA0000148915520000092
P scene is total=P wind-powered electricity generation is total+ P photovoltaic is total(3)
Figure BDA0000148915520000093
Figure BDA0000148915520000094
Figure BDA0000148915520000095
Figure BDA0000148915520000096
In above-mentioned formula,
Figure BDA0000148915520000097
for the level and smooth desired value of wind light generation; P scene is totalfor wind light generation total power value; P wind-powered electricity generation is totalfor wind power generation total power value; P photovoltaic is totalfor photovoltaic generation total power value; S is complex variable; T filtering, T 1, T 2, T 3be time constant filter value, and meet T 1< T 2< T 3; r filtering ratefor wind light generation fluctuation ratio value; T is fluctuation ratio computing time; δ 1, δ 2be wind light generation filtering rate desired value, and meet δ 1< δ 2;
Figure BDA0000148915520000098
be respectively maximum, minimum value and wind light generation rated power in wind light generation total power value in the T time, this rated power is wind power generation rated power and photovoltaic generation rated power sum, by following formula, calculates;
In above formula,
Figure BDA0000148915520000102
rated power for blower fan unit k; u wind-powered electricity generation kfor the controllable state of blower fan unit k, when this blower fan unit k is controlled, this state value is 1, and other values are 0; W is blower fan unit number;
Figure BDA0000148915520000103
rated power for photovoltaic unit k; u photovoltaic kfor the controllable state of photovoltaic unit k, when this photovoltaic unit k is controlled, this state value is 1, and other values are 0; V is photovoltaic unit number.
B2), according to the battery operation state of current each energy storage unit and battery remaining power value of feedback, calculate in real time tracking and plan required battery energy storage power station overall power requirement:
First, based on wind light generation Plan Curve (this Plan Curve is that the wind light generation planned value that computer is inscribed during according to each forms automatically), determine the wind light generation planned value under each time interval (scale);
Secondly, the wind light generation planned value based under each time scale, determines current wind-solar-storage joint generating total power value P wind-light storage:
Figure BDA0000148915520000104
Figure BDA0000148915520000105
Then, the P based on having calculated wind-light storage, determine current battery energy storage power station overall power requirement
Figure BDA0000148915520000106
Figure BDA0000148915520000107
Finally, based on following method pair judge and revise again:
If
Figure BDA0000148915520000109
Figure BDA00001489155200001010
with
If
Figure BDA00001489155200001011
and
Figure BDA00001489155200001012
Above-mentioned various in, Δ t is control cycle, can set according to working control demand, for example Δ t=1 second or 2 seconds; with
Figure BDA00001489155200001015
to be respectively current time and next wind light generation planned value constantly;
Figure BDA00001489155200001016
Figure BDA00001489155200001017
the maximum that is respectively battery energy storage power station allows charge and discharge power; P wind-powered electricity generation is totalfor wind power generation total power value; P photovoltaic is totalfor photovoltaic generation total power value.
B3) the participation system frequency modulation power command value issuing according to outside control centre, battery operation state and the battery remaining power value of feedback of current each energy storage unit, calculate in real time the required battery energy storage power station overall power requirement of frequency modulation:
(1) when automatic electricity generation control system frequency modulation power command value
Figure BDA00001489155200001018
for on the occasion of time, represent that this battery energy storage power station will be in discharge condition, the maximum based on current battery energy storage power station allows discharge power, calculates frequency modulation battery energy storage power station overall power requirement
Figure BDA0000148915520000111
First, judgement
Figure BDA0000148915520000112
the maximum that whether meets following energy storage unit active power allows discharge power constraints;
Figure BDA0000148915520000113
Secondly, if there is violation constraints (12), order
Figure BDA0000148915520000114
Otherwise order
Figure BDA0000148915520000115
(2) when system frequency modulation power command value
Figure BDA0000148915520000116
during for negative value, represent that this battery energy storage power station will be in charged state, the maximum based on current battery energy storage power station allows charge power, calculates frequency modulation battery energy storage power station overall power requirement
Figure BDA0000148915520000117
First, judgement
Figure BDA0000148915520000118
the maximum that whether meets following energy storage unit active power allows charge power constraints;
Figure BDA0000148915520000119
Secondly, if there is violation constraints (15), order
Figure BDA00001489155200001110
Otherwise order
Figure BDA00001489155200001111
B4), according to the battery operation state of current each energy storage unit, battery remaining power value of feedback, calculate in real time peak load shifting battery energy storage power station overall power requirement:
First, based on peak load shifting curve values P current time peak load shifting valuewith system loading curve values P load, and calculate the battery energy storage power station current total power demand under each time interval (scale) by following formula
Figure BDA00001489155200001113
Then, based on following method, judge and revise again:
If
Figure BDA00001489155200001114
and
Figure BDA00001489155200001115
Figure BDA00001489155200001116
with
If
Figure BDA00001489155200001118
In formula (18), P current time peak load shifting valueevery a time scale real-time update; P loadfor current system load curve value, with each sampling period real-time update.
B5), according to the state information of current each energy storage unit, by following formula, calculate in real time battery energy storage power station overall power requirement;
Figure BDA0000148915520000121
B6) directly read the battery energy storage power station overall power requirement that outside control centre issues.
In step C, the power command value P of each energy storage substation in battery energy storage power station substation iobtain by the following method:
In step B, calculate
Figure BDA0000148915520000122
for on the occasion of time,
Figure BDA0000148915520000123
If there is the power demand value P of any one substation i substation isatisfy condition
Figure BDA0000148915520000124
based on following formula, redefine P substation i:
Figure BDA0000148915520000125
Figure BDA0000148915520000126
In step B, calculate
Figure BDA0000148915520000127
during for negative value,
Figure BDA0000148915520000128
If there is the power demand value P of any one substation i substation ip satisfies condition substation i< 0 and
Figure BDA0000148915520000129
based on following formula, redefine P substation i:
Figure BDA00001489155200001210
Figure BDA00001489155200001211
Above-mentioned various in, u substation ifor the controllable state of energy storage substation i, when this battery energy storage substation i is controlled, this state value is 1, and other values are 0; SOC substation istate-of-charge value for energy storage substation i; SOD substation ifor the discharge condition value of energy storage substation i, SOD substation i=1-SOC substation i; S is energy storage substation number;
Figure BDA00001489155200001212
for battery energy storage power station overall power requirement; P substation ipower demand value for energy storage substation i;
Figure BDA00001489155200001213
maximum permission discharge power for energy storage substation i;
Figure BDA00001489155200001214
maximum permission charge power for energy storage substation i;
Figure BDA0000148915520000131
maximum permission discharge power for energy storage unit k; maximum permission charge power for energy storage unit k.
In step C, when the current controllable state of the calculating energy storage substation of administering, state-of-charge value: (1) calculates the current controllable state of this substation according to the current controllable state of each energy storage unit in administered energy storage substation; (2) according to current controllable state, the current state-of-charge of each energy storage unit in administered energy storage substation, calculate the state-of-charge that this substation participates in power division.
Particularly, current controllable state, the state-of-charge equivalence in each energy storage substation obtains by following method:
1) about u substation i: when any one energy storage unit k in the i of substation is controlled, u substation i=1, otherwise u substation i=0;
2) for example, about SOC substation i:
Figure BDA0000148915520000133
l is energy storage unit number in a substation i; u kbe the controllable state of an energy storage unit k in the i of substation, when this energy storage unit k is controlled, this state value is 1, and other values are 0.
In step D, in each energy storage substation, each energy storage unit power command value obtains by following method:
Step D1, as the power command value P of energy storage substation i substation ifor on the occasion of time, represent that this energy storage substation will be in discharge condition, the state-of-charge based on each energy storage unit in substation (State of Charge:SOC) and maximum allow discharge power, calculate through the following steps the power command value P of each energy storage unit in the i of energy storage substation i:
D11) based on genetic algorithm, calculate the decision variable x of each energy storage unit i:
(11a) determine individuality (chromosome) the number N in colony, the gene number in each chromosome is energy storage unit number L.To each individuality carry out binary coding (be encoded into a vector, i.e. chromosome, each element of vector is gene, whether corresponding gene value participates in corresponding each energy storage unit the decision value x of this power division i(i=1 ..., L)), generate at random N individuality as initial population, obtain 0,1 compound mode of the gene string in each chromosome; And make evolutionary generation Counter Value G=0;
(11b) judge whether evolutionary generation Counter Value G is less than or equal to maximum evolutionary generation Counter Value G max, and whether each individuality meets following formula constraints: if above-mentioned two Rule of judgment all meet, and execution step 11c, otherwise, jump to step 11f;
Figure BDA0000148915520000134
(11c) based on following formula, calculate the corresponding adaptive value S of each individual k k, press S ksize evaluate its fitness;
Figure BDA0000148915520000135
(k＝1，...，N) (27)
(11d) fitness value calculating based on step 11c, selects operation according to the principle of the survival of the fittest, for example, can adopt roulette wheel selection to select winning individuality, and in the method, individual selection probability will be proportional with its fitness value.Then based on crossover probability and variation probability recombinate respectively with mutation operation after obtain filial generation;
(11e) based on following target function (I), select optimum filial generation, and it is reinserted and in population, substitute operation according to certain insertion probability; Then make G=G+1, turn back to step 11b;
Figure BDA0000148915520000141
Figure BDA0000148915520000142
(11f) calculate the optimal solution meet target function (I), individuality corresponding to optimal solution shown to its gene string permutation and combination method, each genic value be the decision variable value x of the energy storage unit i of correspondence with it through decoding i(i=1 ..., L);
D12) calculate the power command value P of each energy storage unit i i;
Figure BDA0000148915520000143
D13) the power command value P of each energy storage unit i that determining step D12 draws ithe maximum that whether meets following energy storage unit active power allows discharge power constraints;
P i≤ P i maximum permission charged(29)
D14), if there is the energy storage unit of violation constraints (29), carries out the following step D15, otherwise finish;
D15), based on following formula, redefine the power command value P of each energy storage unit i;
Figure BDA0000148915520000145
Step D2, as the power command value P of energy storage substation i substation iduring for negative value, represent that this battery energy storage power station will be in charged state, the discharge condition value based on each energy storage unit and maximum allow charge power, calculate through the following steps the power command value P of each energy storage unit in the i of energy storage substation i:
D21) based on genetic algorithm, calculate the decision variable x of each energy storage unit i:
(21a) determine individuality (chromosome) the number N in colony, the gene number in each chromosome is energy storage unit number L.To each individuality carry out binary coding (be encoded into a vector, i.e. chromosome, each element of vector is gene, whether corresponding gene value participates in corresponding each energy storage unit the decision value x of this power division i(i=1 ..., L)), generate at random N individuality as initial population, obtain 0,1 compound mode of the gene string in each chromosome; And make evolutionary generation Counter Value G=0;
(21b) judge whether evolutionary generation Counter Value G is less than or equal to maximum evolutionary generation Counter Value G max, and whether each individuality meets following formula constraints: if above-mentioned two Rule of judgment all meet, and execution step 21c, otherwise, jump to step 21f;
Figure BDA0000148915520000151
(21c) based on following formula, calculate the corresponding adaptive value S of each individual k k, press S ksize evaluate its fitness;
Figure BDA0000148915520000152
(21d) fitness value calculating based on step 21c, selects operation according to the principle of the survival of the fittest, for example, can adopt roulette wheel selection to select winning individuality, and in the method, individual selection probability will be proportional with its fitness value.Then based on crossover probability and variation probability recombinate respectively with mutation operation after obtain filial generation;
(21e) based on following target function (II), select optimum filial generation, and it is reinserted and in population, substitute operation according to certain insertion probability; Then make G=G+1, turn back to step 21b;
Figure BDA0000148915520000154
(21f) calculate the optimal solution meet target function (II), individuality corresponding to optimal solution shown to its gene string permutation and combination method, each genic value be the decision variable value x of the energy storage unit i of correspondence with it through decoding i(i=1 ..., L).
D22) calculate the power command value P of each energy storage unit i that participates in the plan of following the tracks of i;
Figure BDA0000148915520000161
SOD i＝1-SOC i (34)
D23) the power command value P of each energy storage unit i that determining step D22 draws ithe maximum that whether meets following energy storage unit active power allows charge power constraints;
| P i|≤| P i maximum permission charged| (35)
D24) if there is the energy storage unit of violating above-mentioned constraints (35), carry out the following step D25, otherwise finish.
D25), based on following formula, redefine the power command value P of each energy storage unit i;
In formula (26)-(36), u ifor the controllable state of i energy storage unit, this state reads by steps A, and when this energy storage unit i is controlled, this state value is 1, and other values are 0; x ifor 0-1 decision variable, x irepresent that energy storage unit i is participated in to power division to be calculated at=1 o'clock, x irepresent not participate in this power division at=0 o'clock; SOC istate-of-charge value for i energy storage unit; SOD idischarge condition value for i energy storage unit; L is battery energy storage unit number; P i specifiedrated power for i energy storage unit; P i maximum permission dischargedmaximum permission discharge power value for i energy storage unit; P i maximum permission chargedmaximum permission charge power value for i energy storage unit.
In sum, the present invention has status monitoring and the functions such as control of exerting oneself real-time that can realize the concentrated access of extensive battery energy storage power station system, the coordination control of polymorphic type battery system, all kinds of battery energy storage units.EMS module in energy-accumulating power station supervisory control system possesses multiple energy-storage battery power and energy management and application function, such as the real-time distribution function of the power of battery in energy-accumulating power station, peak load shifting function, participate in system frequency modulation function, follow the tracks of generation schedule function, level and smooth honourable power is exerted oneself function and safety and stability is controlled function etc., thereby realized predictability, controllability and schedulability that energy-accumulating power station system improves large-scale wind power field and photovoltaic power station power generation.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; in conjunction with above-described embodiment, the present invention is had been described in detail; those of ordinary skill in the field are to be understood that: those skilled in the art still can modify or be equal to replacement the specific embodiment of the present invention, but among the claim protection range that these modifications or change are all awaited the reply in application.

Claims (11)

1. a supervisory control system for MW class battery energy storage power station, is characterized in that, this supervisory control system comprises:
CSRC module, for determining the power command value of each energy storage substation of battery energy storage power station, and is handed down to each local monitor module;
Local monitor module, for calculating the power command value of each energy storage unit of energy storage substation that this module administers, and is handed down to each energy storage unit, and the power command value of each energy storage unit is uploaded to CSRC module stores;
Between described CSRC module and local monitor module, adopt communication network to carry out transfer of data and communicate by letter, described communication network adopts Real Time Communication Network and the parallel network configuration of non real-time monitoring communication network.
2. supervisory control system as claimed in claim 1, is characterized in that, described CSRC module comprises:
Center system supporting module, for reading the related data of battery energy storage power station, and is sent to centralized storage module;
Central authorities' energy management module, for calculating in real time battery energy storage power station overall power requirement according to concrete application, thereby further determines the power command value of each energy storage substation in this power station, and is sent to centralized storage module and central real-time communication module;
Centralized storage module, for the related data of storage battery energy-accumulating power station and the power command value of each energy storage substation, and by above-mentioned data and power command value assignment to the corresponding interface variable, for local monitor module and outside control centre, call; With
Central authorities' communication module, comprises central real-time communication module and central non real-time communication module, and described central real-time communication module is carried out real time communication with local monitor module and outside control centre respectively by Real Time Communication Network; The non real-time communication module of described central authorities carries out non-realtime traffic by non real-time monitoring communication network and local monitor module and outside control centre.
3. supervisory control system as claimed in claim 2, is characterized in that, described central energy management module comprises:
The level and smooth honourable power module of exerting oneself, goes out the required battery energy storage power station overall power requirement of fluctuation for calculating in real time level and smooth wind light generation;
Follow the tracks of plan electricity generation module, for calculating place in real time, follow the tracks of the required battery energy storage power station overall power requirement of plan;
Participation system frequency modulation module, for calculating in real time the required battery energy storage power station overall power requirement of frequency modulation;
Peak load shifting module, for calculating in real time the required battery energy storage power station overall power requirement of peak load shifting;
Safety and stability control module, controls required battery energy storage power station overall power requirement for calculating in real time safety and stability;
The real-time distribution module of energy-accumulating power station overall power requirement, for the battery energy storage power station overall power requirement calculating according to above-mentioned arbitrary module or outside control centre directly issues, calculates the power command value of each energy storage substation in energy-accumulating power station in real time; With
Data processing module, for reading the real time data of transmitting by central real-time communication module, and by corresponding data reach level and smooth honourable power exert oneself module, tracking plan electricity generation module, participate in calculating in system frequency modulation module, peak load shifting module, safety and stability control module or the real-time distribution module of energy-accumulating power station overall power requirement, then the result of calculating is reached to central real-time communication module and centralized storage module.
4. supervisory control system as claimed in claim 1, is characterized in that, described local monitor module comprises:
Local system supporting module, for read all energy storage units in the power command value of the corresponding energy storage of battery energy storage power station substation and this energy storage substation in real time, non-real-time data, and send to local memory module;
Local energy administration module, for calculating the power command value of all energy storage units in energy storage substation, and is handed down to corresponding energy storage unit by power command value;
Local memory module, for the interim storage power command value of energy storage substation and power command value, real time data, the non-real-time data of these all energy storage units in energy storage substation; And the power command value and the real time data that are stored in all energy storage units in this module are reached in CSRC module and stored by local real-time communication module temporarily; With
Local communication module, comprise local real-time communication module and local non real-time communication module, described local real-time communication module is carried out real time communication with CSRC module and all energy storage units respectively by Real Time Communication Network, and the non real-time communication module in described this locality carries out non-realtime traffic with CSRC module and all energy storage units respectively by non real-time monitoring communication network.
5. a method for supervising for MW class battery energy storage power station, it comprises the steps:
Steps A, CSRC module read the related data of battery energy storage power station by communication network, and above-mentioned data are carried out to store and management, and described communication network adopts Real Time Communication Network and the parallel network configuration of non real-time monitoring communication network;
Step B, based on CSRC module, determine battery energy storage power station overall power requirement;
Step C, based on CSRC module, determine the power command value of each energy storage substation in battery energy storage power station, and be handed down to each local monitor module;
Step D, based on local monitor module, calculate the power command value that this module is administered each energy storage unit in energy storage substation, and be handed down to each energy storage unit;
Step e, the power command value, real time data and the non-real-time data that are stored in each energy storage unit in local monitor module are uploaded to CSRC module by communication network temporarily carry out store and management.
6. method for supervising as claimed in claim 5, is characterized in that, in step B, by following either method, determines described battery energy storage power station overall power requirement:
B1) read in real time the level and smooth desired value of wind light generation and wind light generation total power value, the difference that the former deducts the latter is current level and smooth wind light generation and goes out the required battery energy storage power station overall power requirement of fluctuation;
B2) read in real time each wind light generation planned value constantly, and definite current wind-solar-storage joint generating total power value, from wind-solar-storage joint generating total power value, deduct wind power generation total power value and photovoltaic generation total power value, income value judges and revises, obtains current tracking and plan required battery energy storage power station overall power requirement;
B3) read participation system frequency modulation power command value
Figure FDA0000148915510000021
according to
Figure FDA0000148915510000022
symbol decision its whether meet maximum discharge power constraints or maximum charge power constraints that allows of allowing; If violated constraints, the maximum of battery energy storage power station is allowed discharge power or the maximum charge power that allows as the required battery energy storage power station overall power requirement of frequency modulation; Otherwise, will
Figure FDA0000148915510000023
as participating in the required battery energy storage power station overall power requirement of system frequency modulation;
B4) read in real time peak load shifting curve values and the system loading curve values of current time, the difference that the former is deducted to the latter judges and revises, obtains the required battery energy storage power station overall power requirement of current peak load shifting;
B5) allow discharge power to control required battery energy storage power station overall power requirement as safety and stability the maximum of battery energy storage power station;
B6) read in real time the battery energy storage power station overall power requirement that outside control centre directly issues.
7. method for supervising as claimed in claim 6, is characterized in that,
In step B1, by following formula, ask for level and smooth wind light generation and go out the required battery energy storage power station overall power requirement of fluctuation:
Figure FDA0000148915510000031
And meet:
Figure FDA0000148915510000032
P scene is total=P wind-powered electricity generation is total+ P photovoltaic is total
Figure FDA0000148915510000033
Figure FDA0000148915510000034
Figure FDA0000148915510000035
Figure FDA0000148915510000036
In above-mentioned formula,
Figure FDA0000148915510000037
for the level and smooth desired value of wind light generation; P scene is totalfor wind light generation total power value; P wind-powered electricity generation is totalfor wind power generation total power value; P photovoltaic is totalfor photovoltaic generation total power value; T filtering, T 1, T 2, T 3be time constant filter value, and meet T 1< T 2< T 3; r filtering ratefor wind light generation fluctuation ratio value; S is complex variable; T is fluctuation ratio computing time; δ 1, δ 2be wind light generation filtering rate desired value, and meet δ 1< δ 2;
Figure FDA0000148915510000038
be respectively maximum, minimum value and wind light generation rated power in wind light generation total power value in the T time, this rated power is wind power generation rated power and photovoltaic generation rated power sum, by following formula, calculates;
Figure FDA0000148915510000039
In above-mentioned formula, rated power for blower fan unit k; u wind-powered electricity generation kfor the controllable state of blower fan unit k, when this blower fan unit k is controlled, this state value is 1, and other values are 0; W is blower fan unit number;
Figure FDA00001489155100000311
rated power for photovoltaic unit k; u photovoltaic kfor the controllable state of photovoltaic unit k, when this photovoltaic unit k is controlled, this state value is 1, and other values are 0; V is photovoltaic unit number.
In step B2, ask for tracking and plan the concrete steps of required battery energy storage power station overall power requirement and comprise:
First, read each wind light generation planned value constantly, and determine current wind-solar-storage joint generating total power value by following formula:
Figure FDA0000148915510000042
Secondly, read the wind power generation total power value P of current wind turbine generator wind-powered electricity generation is totalphotovoltaic generation total power value P with photovoltaic generation unit photovoltaic is total, and determine current battery energy storage power station overall power requirement by following formula
Figure FDA0000148915510000043
Finally, by following method pair judge and revise again, to obtain final tracking, planning required battery energy storage power station overall power requirement:
If
Figure FDA0000148915510000046
and
Figure FDA0000148915510000047
Figure FDA0000148915510000048
If and
Figure FDA00001489155100000410
Figure FDA00001489155100000411
In above-mentioned formula, P wind-light storagefor wind-solar-storage joint generating total power value; Δ t is control cycle;
Figure FDA00001489155100000412
with to be respectively current time and next wind light generation planned value constantly; the maximum that is respectively battery energy storage power station allows charge and discharge power;
In step B3, the concrete steps of asking for the required battery energy storage power station overall power requirement of frequency modulation comprise:
Read in real time participation system frequency modulation power command value
Figure FDA00001489155100000415
When for on the occasion of time, represent that this battery energy storage power station will be in discharge condition, judgement
Figure FDA00001489155100000417
the maximum that whether meets following energy storage unit allows discharge power constraints:
Figure FDA00001489155100000418
If any violating the maximum discharge power constraints that allows, order otherwise, order
Figure FDA00001489155100000420
When
Figure FDA00001489155100000421
during for negative value, represent that this battery energy storage power station will be in charged state, judgement
Figure FDA00001489155100000422
the maximum that whether meets following energy storage unit allows discharge power constraints:
Figure FDA00001489155100000423
If any violating the maximum charge power constraints that allows, order otherwise, order
Figure FDA00001489155100000425
In step B4, the concrete steps of asking for the required battery energy storage power station overall power requirement of peak load shifting comprise:
First, read in real time peak load shifting curve values and the system loading curve values of current time, and by following formula, determine the energy-accumulating power station overall power requirement of current time
Figure FDA0000148915510000051
Secondly, by following method pair
Figure FDA0000148915510000053
judge and revise again, to obtain the required battery energy storage power station overall power requirement of final peak load shifting:
If
Figure FDA0000148915510000054
and
Figure FDA0000148915510000055
If
Figure FDA0000148915510000057
and
Figure FDA0000148915510000058
Figure FDA0000148915510000059
In above-mentioned formula, P load, P current time peak load shifting valuebe respectively system loading curve values and peak load shifting curve values;
In step B5, allow discharge power to control required battery energy storage power station overall power requirement as safety and stability the maximum of battery energy storage power station;
In step B6, directly read the battery energy storage power station overall power requirement that outside control centre issues.
8. method for supervising as claimed in claim 6, is characterized in that, in step C, determines that in real time the concrete grammar of the power command value of each energy storage substation in described battery energy storage power station comprises:
When battery energy storage power station overall power requirement be on the occasion of time, the power command value P of each energy storage substation substation ifor:
Figure FDA00001489155100000510
If there is the power demand value P of any one substation i substation ip satisfies condition substation i> 0 and
Figure FDA00001489155100000511
based on following formula, redefine P substation i:
Figure FDA00001489155100000512
Figure FDA00001489155100000513
When battery energy storage power station overall power requirement is negative value, the power command value P of each energy storage substation substation ifor:
Figure FDA00001489155100000514
If there is the power demand value P of any one substation i substation ip satisfies condition substation i< 0 and
Figure FDA00001489155100000515
based on following formula, redefine P substation i:
Figure FDA0000148915510000061
Figure FDA0000148915510000062
Above-mentioned various in, u substation icontrollable state for energy storage substation i; SOC substation istate-of-charge value for energy storage substation i; SOD substation ifor the discharge condition value of energy storage substation i, SOD substation i=1-SOC substation i; S is energy storage substation number;
Figure FDA0000148915510000063
for battery energy storage power station overall power requirement; P substation ipower demand value for energy storage substation i;
Figure FDA0000148915510000064
maximum permission discharge power for energy storage substation i;
Figure FDA0000148915510000065
maximum permission charge power for energy storage substation i;
Figure FDA0000148915510000066
maximum permission discharge power for energy storage unit k;
Figure FDA0000148915510000067
maximum permission charge power for energy storage unit k.
9. method for supervising as claimed in claim 6, it is characterized in that, in step D, the concrete grammar that calculates the power command value of all energy storage units in energy storage substation comprises: according to the power command value symbol of energy storage substation, selection allows discharge power or the maximum charge power that allows to calculate the decision variable of each energy storage unit by maximum, and then asks for the power command value of each energy storage unit; And judge whether each energy storage unit meets maximum discharge power constraints or the maximum charge power constraints that allows of allowing, if against anti-phase energy storage unit of answering constraints, by maximum, allow discharge power or the maximum power command value that allows charge power to recalculate this energy storage unit; Otherwise, finish judgement.
10. method for supervising as claimed in claim 9, is characterized in that, the concrete grammar of described step D comprises:
Step D1, as the power command value P of energy storage substation i substation ifor on the occasion of time, the method for calculating each energy storage unit power command value in this energy storage substation comprises:
D11) by genetic algorithm, calculate the decision variable x of each energy storage unit i:
D12) by following formula, calculate the power command value P of each energy storage unit i i:
Figure FDA0000148915510000068
D13) the power command value P of each energy storage unit i that determining step D2 draws ithe maximum that whether meets following energy storage unit active power allows discharge power constraints: P i≤ P i maximum permission discharged
D14) if there is the energy storage unit of violating maximum permission discharge power constraints, by following formula, redefine the power command value P of each energy storage unit i i; Otherwise finish judgement;
Figure FDA0000148915510000069
Step D2, as the power command value P of energy storage substation i substation iduring for negative value, the method for calculating each energy storage unit power command value in this energy storage substation comprises:
D21) by genetic algorithm, calculate the decision variable x of each energy storage unit i:
D22) by following formula, calculate the power command value of each energy storage unit i that participates in the plan of following the tracks of:
Figure FDA0000148915510000071
The maximum whether the power command value of each energy storage unit i that D23) determining step D22 draws meets following battery energy storage unit active power allows charge power constraints: | P i|≤| P i maximum permission charged|
D24) if there is the energy storage unit of violating maximum permission charge power constraints, by following formula, redefine the power command value P of each energy storage unit i i; Otherwise, finish judgement:
Figure FDA0000148915510000072
In above-mentioned formula, u icontrollable signal for i energy storage unit; Other values are 0; x ifor 0-1 decision variable; SOC i, SOD ibe respectively charged, the discharge condition of i energy storage unit, SOD i=1-SOC i; L is battery energy storage unit number; P i specifiedrated power for i energy storage unit; P i maximum permission charged, P i maximum permission dischargedmaximum permission charge and discharge power for i energy storage unit.
11. methods as claimed in claim 10, is characterized in that,
In described step D11, calculate the decision variable x of each energy storage unit imethod comprise:
(11a) determine the individual number N in colony, gene number in each individuality is energy storage unit number L, and each individuality is carried out to binary coding, generates at random N individuality as initial population, obtain 0,1 compound mode of gene string in each individuality, and make evolutionary generation Counter Value G=0;
(11b) judge whether evolutionary generation Counter Value G is less than or equal to maximum evolutionary generation Counter Value G max, and whether each individuality meets the constraints of following formula: if above-mentioned two Rule of judgment all meet, perform step 11c; Otherwise, jump to step 11f;
Figure FDA0000148915510000073
(11c) based on following formula, calculate the corresponding fitness value S of each individual k k;
Figure FDA0000148915510000074
k=1 wherein ..., N
(11d) fitness value calculating based on step 11c, according to the survival of the fittest principle selects operation, then based on crossover probability and variation probability recombinate respectively with mutation operation after obtain filial generation;
(11e) based on following target function (I), select optimum filial generation, and it is reinserted and in population, substitute operation according to inserting probability; Then make G=G+1, jump to step 11b;
Figure FDA0000148915510000081
Figure FDA0000148915510000082
(11f) calculate the optimal solution that meets target function (I), draw the permutation and combination method of its gene string after individuality corresponding to optimal solution decoded, each genic value is the decision variable value x of corresponding with it energy storage unit i i, i=1 wherein ..., L;
In described step D21, calculate the decision variable x of each energy storage unit imethod comprise:
(21a) determine the individual number N in colony, gene number in each individuality is energy storage unit number L, and each individuality is carried out to binary coding, generates at random N individuality as initial population, obtain 0,1 compound mode of gene string in each individuality, and make evolutionary generation Counter Value G=0;
(21b) judge whether evolutionary generation Counter Value G is less than or equal to maximum evolutionary generation Counter Value G max, and whether each individuality meets the constraints of following formula: if above-mentioned two Rule of judgment all meet, perform step 21c; Otherwise, jump to step 21f;
Figure FDA0000148915510000083
(21c) based on following formula, calculate the corresponding fitness value S of each individual k k;
Figure FDA0000148915510000084
k=1 wherein ..., N
(21d) fitness value calculating based on step 21c, according to the survival of the fittest principle selects operation, then based on crossover probability and variation probability recombinate respectively with mutation operation after obtain filial generation;
(21e) based on following target function (II), select optimum filial generation, and it is reinserted and in population, substitute operation according to inserting probability; Then make G=G+1, jump to step 21b;
Figure FDA0000148915510000091
Figure FDA0000148915510000092
(21f) calculate the optimal solution that meets target function (II), draw the permutation and combination method of its gene string after individuality corresponding to optimal solution decoded, each genic value is the decision variable value x of corresponding with it energy storage unit i i, i=1 wherein ..., L.
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