CN108053112A - A kind of method and system of energy-storage system planning - Google Patents

A kind of method and system of energy-storage system planning Download PDF

Info

Publication number
CN108053112A
CN108053112A CN201711309432.0A CN201711309432A CN108053112A CN 108053112 A CN108053112 A CN 108053112A CN 201711309432 A CN201711309432 A CN 201711309432A CN 108053112 A CN108053112 A CN 108053112A
Authority
CN
China
Prior art keywords
energy
energy storage
variety
related data
result
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711309432.0A
Other languages
Chinese (zh)
Inventor
张福东
祝新全
彭钢
袁晓磊
杨春来
李剑峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd, State Grid Hebei Energy Technology Service Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201711309432.0A priority Critical patent/CN108053112A/en
Publication of CN108053112A publication Critical patent/CN108053112A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/82Energy audits or management systems therefor
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • General Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The present invention is suitable for technical field of energy storage, provides a kind of method and system of energy-storage system planning, including:Related data curve is obtained, generates result of spectrum analysis;Energy storage control strategy is selected according to result of spectrum analysis and carries out stored energy capacitance optimization calculating, stored energy capacitance and power capacity after generation optimization;According to stored energy capacitance and power capacity, energy storage original scheme and index of correlation are generated;It obtains a variety of energy storage inverters and carries out energy consumption analysis respectively, generate energy storage inverter energy consumption analysis result;Connection in series-parallel design is carried out to a variety of energy storage inverters, a variety of alternatives is generated, a variety of alternatives is assessed, assessment result is generated, and final design scheme is selected from a variety of alternatives according to assessment result.The present invention obtains final energy design scheme by obtaining the different related datas of different application scene to the corresponding planning of energy-storage system progress, improves the power supply reliability of power distribution network, optimizes the resource distribution of power distribution network, improve power quality.

Description

A kind of method and system of energy-storage system planning
Technical field
The invention belongs to the method and system that technical field of energy storage more particularly to a kind of energy-storage system are planned.
Background technology
With rapid development of economy, power load increasingly increases, power distribution network existing equipment capacity can not meet demand, and The peak-valley difference of load also gradually aggravates, and causes the utilization rate of Distribution Network Equipment to reduce, and cost of investment is caused to increase.It is and more and more High-tech, Digital Enterprise etc. higher requirement is proposed to power supply reliability and power quality.
At present, various impact loads, nonlinear-load and out-of-balance load are likely to result in the electric energy matter of power distribution network Amount problem leads to problems such as the appearance of higher hamonic wave, voltage flicker, Voltage Drop.The frequency modulation demand of system is more and more urgent, passes The variable frequency power source response speed of system is slow, and voltage fluctuation is big, cannot increasingly meet requirement of the user to power quality.
The content of the invention
In view of this, an embodiment of the present invention provides a kind of method and system of energy-storage system planning, to solve existing skill The problem of frequency modulation response speed of system is slow in art, and power quality is poor.
The first aspect of the embodiment of the present invention provides a kind of method of energy-storage system planning, and wherein energy-storage system includes storage Energy device and energy storage inverter, the method for energy-storage system planning are applied to server, including:
Related data curve is obtained, related data curve includes regenerative resource output power curve, plan power generation target Curve and load curve
Spectrum analysis is carried out to related data curve, generates the result of spectrum analysis of related data curve.
According to result of spectrum analysis, select energy storage control strategy and carry out stored energy capacitance optimization calculating, after generation optimization Stored energy capacitance and power capacity.
According to the stored energy capacitance and power capacity after optimization, energy storage original scheme and index of correlation are generated.
A variety of energy storage inverters are obtained, a variety of energy storage inverters are carried out with energy consumption analysis respectively, generate energy storage inverter energy Consumption analysis result.
According to energy storage inverter energy consumption analysis as a result, a variety of energy storage inverters are carried out with connection in series-parallel design, generation is a variety of standby Select scheme.
A variety of alternatives are assessed, assessment result is generated, and is selected according to assessment result from a variety of alternatives Select final design scheme.
The second aspect of the embodiment of the present invention provides a kind of system of energy-storage system planning, and energy-storage system is filled including energy storage It puts and energy storage inverter, a kind of system of energy-storage system planning includes:
Related data curve acquisition module, for obtaining related data curve, related data curve includes regenerative resource Output power curve, plan power generation aim curve and load curve.
Result of spectrum analysis generation module for carrying out spectrum analysis to related data curve, generates related data curve Result of spectrum analysis.
Optimum results generation module, for according to result of spectrum analysis, selecting energy storage control strategy and carrying out stored energy capacitance Optimization calculates, stored energy capacitance and power capacity after generation optimization.
Original scheme generation module, for according to the stored energy capacitance and power capacity after optimization, generating energy storage original scheme And index of correlation.
Energy storage inverter energy consumption analysis result-generation module, for obtaining a variety of energy storage inverters, to a variety of energy storage inversions Device carries out energy consumption analysis respectively, generates energy storage inverter energy consumption analysis result.
Alternative generation module, for according to energy storage inverter energy consumption analysis as a result, to a variety of energy storage inverters carry out Connection in series-parallel designs, and generates a variety of alternatives.
Final design schemes generation module for assessing a variety of alternatives, generates assessment result, and according to commenting Estimate result and final design scheme is selected from a variety of alternatives.
The third aspect of the embodiment of the present invention provides a kind of server, including memory, processor and is stored in institute The computer program that can be run in memory and on the processor is stated, the processor performs real during the computer program Now the step of method of energy-storage system planning as described above.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage Media storage has computer program, and the computer program realizes the side of energy-storage system planning as described above when being executed by processor The step of method.
Existing advantageous effect is the embodiment of the present invention compared with prior art:The present invention is by obtaining related data song Line carries out spectrum analysis to related data curve, generates the result of spectrum analysis of related data curve;According to result of spectrum analysis Selection energy storage control strategy simultaneously carries out stored energy capacitance optimization calculating, stored energy capacitance and power capacity after generation optimization;According to excellent Stored energy capacitance and power capacity after change generate energy storage original scheme and index of correlation;A variety of energy storage inverters are obtained, to a variety of Energy storage inverter carries out energy consumption analysis respectively, generates energy storage inverter energy consumption analysis result;According to energy storage inverter energy consumption analysis As a result, carrying out connection in series-parallel design to a variety of energy storage inverters, a variety of alternatives are generated.A variety of alternatives are assessed, Assessment result is generated, and final design scheme is selected from a variety of alternatives according to assessment result.The present invention is by obtaining not Different related datas with application scenarios plan energy-storage system accordingly, improve the power supply reliability of power distribution network, excellent Change the resource distribution of power distribution network, improve power quality.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only the present invention some Embodiment, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these Attached drawing obtains other attached drawings.
Fig. 1 shows the structure diagram of distribution network system provided by one embodiment of the present invention;
Fig. 2 is a kind of realization flow diagram of the method for energy-storage system planning provided in an embodiment of the present invention;
Fig. 3 is the concrete implementation flow diagram of step S101 in Fig. 2;
Fig. 4 is the concrete implementation flow diagram of step S103 in Fig. 2;
Fig. 5 is the concrete implementation flow diagram of step S104 in Fig. 2;
Fig. 6 is the concrete implementation flow diagram of step S107 in Fig. 2;
Fig. 7 is a kind of structure diagram of the system of energy-storage system planning provided in an embodiment of the present invention;
Fig. 8 is the structure diagram of optimum results generation module in Fig. 7;
Fig. 9 is the schematic diagram of server provided in an embodiment of the present invention.
Specific embodiment
In being described below, in order to illustrate rather than in order to limit, it is proposed that such as tool of particular system structure, technology etc Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specifically The present invention can also be realized in the other embodiments of details.In other situations, omit to well-known system, device, electricity Road and the detailed description of method, in case unnecessary details interferes description of the invention.
Term " comprising " and their any deformations in description and claims of this specification and above-mentioned attached drawing, meaning Figure is to cover non-exclusive include.Such as process, method or system comprising series of steps or unit, product or equipment do not have The step of having listed or unit are defined in, but optionally further includes the step of not listing or unit or optionally also wraps It includes for the intrinsic other steps of these processes, method, product or equipment or unit.In addition, term " first ", " second " and " 3rd " etc. is for distinguishing different objects, not for description particular order.
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
Embodiment 1:
Fig. 1 shows that the energy-storage system that one embodiment of the present of invention provides applies the structural frames in distribution network system 1 Figure;Distribution network system 1 mainly includes generating set 11, energy-storage system 12 and station service 13, and energy-storage system 12 includes energy storage device 121 and energy storage inverter 122.
In the present embodiment, station service 13 is connected with station-service Working transformer, station-service Working transformer respectively with generator Group 11 is connected with energy storage supply transformer, and energy storage supply transformer is connected with energy storage inverter 122, energy storage inverter 122 and storage Energy device 121 connects.
In the present embodiment, energy storage inverter 122 is a kind of suitable intelligent grid construction, is applied in energy storage link, with double To the grid-connected converter that inversion is basic characteristics.Energy storage inverter 122 is the change-over switch of energy storage device 12 and station service 13, is led to The state transition for crossing energy storage inverter 122 changes power flow.
In the present embodiment, power distribution network power supply can be improved reliably by adding in energy-storage system 12 in distribution network system 1 Property and power quality, moreover it is possible to optimize power distribution network resource distribution, improve the utilization rate of power distribution network.
Fig. 2 shows a kind of realization flow of the method for energy-storage system planning that one embodiment of the present of invention provides, this The flow executive agent of embodiment can be server, and details are as follows for process:
Step S101:Related data curve is obtained, related data curve includes regenerative resource output power curve, plan Generate electricity aim curve and load curve.
In the present embodiment, the energy-storage system of power distribution network is met, it is necessary to obtain matching somebody with somebody for energy-storage system to be accessed to design The related data of power grid, wherein regenerative resource output power curve include photovoltaic generation output power curve and wind speed power generation is defeated Go out power curve.
In the present embodiment, the specific embodiment of the method in step S101 is as shown in figure 3, particular content includes:
Step S201:Related data is obtained, the related data includes regenerative resource output power data, plan power generation Target data and load data.
Step S202:Related data into Correlation series is calculated, generates related data curve.
In the present embodiment, by obtaining related data, generated according to the monthly average evidence and related coefficient of related data The related data curve of annual hour grade, wherein, for load data, according to the load data of typical day, consider seasonal add Enter random fluctuation, be finally extended to annual load data.
Step S102:Spectrum analysis is carried out to related data curve, generates the result of spectrum analysis of related data curve.
In the present embodiment, spectrum analysis is carried out to the related data of above-mentioned acquisition, specifically included:
In above-mentioned acquisition related data, further include and obtain sector application scene information, according to application scenarios information, will store up Energy system is divided into different application models, including:Smooth output mode, plan power generation mode, peak load shifting pattern and mixing should Use pattern.
In the present embodiment, smooth output mode cooperation regenerative resource access, for smooth load fluctuation.Smooth defeated Go out under pattern, the load fluctuation of regenerative resource is generally divided into short-time rating fluctuation and long term power fluctuation.When energy-storage system is used When the short-time rating fluctuation of smooth regenerative resource, smoothingtime scale is generally second grade to dozens of minutes grade.When energy storage system System for smooth regenerative resource it is long when power swing when, energy-storage system be mainly used for compensate regenerative resource power output with Mismatch between workload demand, time scale are usually dozens of minutes grade to hour grade.
In the present embodiment, it is the schedulable energy or satisfaction to plan power generation mode by intermittent renewable energy conversion The planned dispatching instruction of load, in the case where planning power generation mode, the dispatching of power netwoks mechanisms at different levels of electric system are according to electricity market Demand or load prediction arrange generation schedule to the generating equipment in range of management.In known power system load, unit group The conditions such as conjunction, tie line plan, exchange plan, alternative plan, Unit Economic characteristic and various run-limitings develop specified Generation schedule of the moment under given load level makes the power generation network minimal of whole system.If according to load condition or Renewable energy power generation situation, formulated plan power generation aim curve, but due to regenerative resource uncontrollability and Having a rest property is, it is necessary to which energy-storage system coordinates to complete the aim curve formulated.
In the present embodiment, peak load shifting pattern is independent to load progress peak load shifting with regenerative resource cooperation, is cutting Under peak load pattern, by the scheduling of Generation Side or electricity consumption side, the sub-load in the peakload period is arranged into low ebb and is born In the lotus period, peakload, the low ebb load of increase system so as to the system of cutting down improve rate of load condensate.Utilize energy-storage system Energy stores complete peak load shifting with release.A part of peak load is moved to the low ebb phase in the evening, it is more at night so as to make use of Remaining electric power has also just achieved the purpose that energy saving.
In the present embodiment, mixing application model is carried out at the same time smooth output and peak load shifting.In the case where mixing application model, Energy-storage system plays the effect of more than different mode simultaneously.Relatively common is to carry out smoothly output and peak clipping using energy-storage system Fill valley carries out smoothly the net load of big ups and downs while peak load shifting using energy-storage system.
In the present embodiment, after the application model that energy-storage system is determined by obtaining sector application scene information, according to not Same application model makes related data different spectrum analyses.
Step S103:According to result of spectrum analysis, select energy storage control strategy and carry out stored energy capacitance optimization calculating, generation Stored energy capacitance and power capacity after optimization.
In the present embodiment, the specific embodiment of the method in step S103 is as shown in figure 4, particular content includes:
Step S301:According to result of spectrum analysis, the type of selection energy storage control strategy and energy storage device.
In the present embodiment, according to the result of spectrum analysis of above-mentioned selected application model, the type of energy storage device is selected, Energy storage device is divided into energy type and power-type according to the features such as its response speed, regulating power.Wherein energy type energy storage includes storing Battery and water-storage, power-type energy storage include super capacitor and superconducting energy storage.It is short for vibration frequency is high, fluctuating range is big Phase is fluctuated, and should be adjusted using power-type energy storage;It, should for the fluctuation for the long period that period of waves is long, pondage is big It is adjusted using energy type energy storage;Since the distributed generation resource of regenerative resource has the characteristics of there are two types of fluctuating, also may be used To carry out coordination control using hybrid energy-storing, common hybrid energy-storing form has different batteries combination, accumulator/super electricity Appearance, accumulator/superconducting energy storage etc..
In the present embodiment, according to the difference of the application model of energy-storage system, when application model for plan power generation mode and Energy storage control strategy during peak load shifting pattern is relatively simple.When application model generates electricity for plan, it is defeated to obtain regenerative resource Go out power curve and plan power generation aim curve, regenerative resource output power curve is subtracted into plan power generation aim curve, is obtained To plan generation deviation.When it is positive value to plan generation deviation, energy storage charging instruction is generated, when plan generation deviation is negative value When, generation energy storage electric discharge instruction.
When application model is peak load shifting pattern, regenerative resource output power curve and load curve are obtained, it can Renewable sources of energy output power curve and load curve superposition, obtain net load curve, and the curve that sets objectives to net load curve, Net load curve is subtracted into aim curve, obtains the deviation of peak load shifting pattern, when the deviation of peak load shifting pattern is positive value, Energy storage charging instruction is generated, when the deviation of peak load shifting pattern is negative value, generation energy storage electric discharge instruction.
In the present embodiment, when application model for smooth output mode and mixing application model when, then need using being based on The energy storage control strategy of DFT (Discrete Fourier Transformation, discrete Fourier transform) algorithm.
When application model is smooth output mode, regenerative resource output power curve is obtained, and to regenerative resource Output power carries out spectrum analysis;When application model for mixing application model when, obtain regenerative resource output power curve and Load curve, and regenerative resource output power curve and load curve are superimposed, net load curve is generated, to net load curve Carry out spectrum analysis.
To above two curve using DFT carry out spectrum analysis, can from frequency domain from fluctuation situation, acquisition frequency spectrum knot Fruit determines compensation frequency range and the type of energy storage device according to spectrum analysis situation.Then IDFT is carried out to spectrum results (Inverse Discrete Fourier Transform, inverse discrete fourier transform) converts, and the energy storage obtained in time domain is filled Discharge power instructs.
Step S302:According to the type of energy storage device, the remaining capacity restrictive condition of energy storage device is set.
In the present embodiment, in the real-time control aspect of energy storage charge and discharge, to avoid the super-charge super-discharge of battery, battery is extended Service life, energy storage SOC (State of Charge, remaining capacity) should be limited in a rational scope.For the control of energy storage Using the feedback control based on real-time SOC.The energy storage charge-discharge electric power of future time step-length is referred to according to real-time energy storage SOC sizes Order is modified, and energy storage SOC is avoided to be rapidly reached the upper limit or lower limit, causes super-charge super-discharge, and can not be in next time step Work, causes grid power to fluctuate in long.
In the present embodiment, the demand to stored energy capacitance can be reduced using SOC feedback controls.By battery SOC be divided into Smax, Tetra- threshold values of Sup, Slow, Smin.When actual measurement energy storage SOC is located at [Slow, Sup] section, energy-storage system power instruction is not done Adjustment;Actual measurement energy storage SOC be located at [Smin, Slow) section and when needing energy storage system discharges, reduce the instruction of energy storage discharge power; Actual measurement energy storage SOC be located at (Sup, Smax] section and need to energy-storage system charges when, reduce energy storage charge power and instruct.
Step S303:Obtain the probability for meeting annual stored energy capacitance.
In the present embodiment, according to the demand of actual power distribution network electricity, when fully meeting annual stored energy capacitance, probability is 1, it when probability is 0.9, then needs annual stored energy capacitance being multiplied with probability 0.9, obtains the stored energy capacitance that actual needs meets.
Step S304:According to the annual probability of stored energy capacitance and the remaining capacity restrictive condition of energy storage device is met, generate Stored energy capacitance and power capacity after optimization.
In the present embodiment, instructed according to the energy storage charge-discharge electric power of acquisition, and consider the remaining capacity limit of energy storage device Condition processed and the probability for meeting annual stored energy capacitance, calculate the total energy of energy-storage system charge and discharge, so that it is determined that energy-storage system Stored energy capacitance.It is instructed according to stored energy capacitance and energy storage charge-discharge electric power, may thereby determine that the power capacity of energy-storage system.
Step S104:According to the stored energy capacitance and power capacity after optimization, energy storage original scheme and index of correlation are generated.
In the present embodiment, the method specific embodiment in step S104 is as shown in figure 5, specifically include:
Step S401:On the basis of stored energy capacitance and power capacity after optimization the energy storage is adjusted according to preset ratio Capacity and power capacity generate energy storage original scheme.
In the present embodiment, according to actual demand, for the ease of calculating, in the stored energy capacitance and power capacity of optimization On the basis of, it is adjusted according to default ratio, ratio of the preset ratio between actual capacity and the capacity of optimization calculating, So as to obtain energy storage original scheme.
Step S402:According to energy storage original scheme, system emulation is carried out using simplified energy storage simulation model, generation is related Index.
In the present embodiment, according to energy storage original scheme obtained above, by the stored energy capacitance in energy storage original scheme and Power capacity is brought into simplified energy storage simulation model, the energy storage simulation model of simplification herein be without considering tank voltage, The variation of electric current only considers that energy storage is contributed influence to energy storage SOC, obtains index of correlation, index of correlation include technical indicator and Economic indicator, technical indicator have undulating value, stability bandwidth, compensation deviation, fm capacity, maximum reactive-load compensation, power off time, energy storage Number is replaced in life expectancy and energy storage;Economic indicator mainly has totle drilling cost in engineering life cycle, total revenue and total net present value (NPV).
Step S105:A variety of energy storage inverters are obtained, a variety of energy storage inverters are carried out with energy consumption analysis respectively, generate energy storage Inverter energy consumption analysis result.
In the present embodiment, energy storing structure design, the design master of energy storing structure are carried out on the basis of stored energy capacitance is determined If inverter design, inverter direct-current voltage range computation and energy consumption analysis.
In the present embodiment, a variety of different energy storage inverters are chosen, including single stage type inverter, single-stage band transformer type Inverter and stage type inverter, it is then determined that the control method of energy storage inverter, the control method of energy storage inverter is mainly wrapped Include PQ controls, VF controls and droop control.
PQ controls the output that can adjust energy storage inverter active and reactive current, so as to fulfill energy storage inverter output Active-power P and reactive power Q decoupling control achieve the purpose that improve load power factor.VF controls can be to energy storage inversion The output voltage and frequency of device are controlled, and maintain output voltage and frequency values in certain scope, and then can root Achieve the purpose that voltage and frequency fluctuation caused by stabilizing load power fluctuation according to workload demand.And droop control can be not required Communication-cooperation between each energy storage link realizes various energy-storage system plug and play, and therefore, the embodiment of the present invention is preferentially selected Droop control.
In the present embodiment, it is more advantageous to realizing that energy-storage system is smooth between different application pattern using droop control Switching, need not change the control strategy between application model, while can also improve the power supply quality and electricity of internal system load Press quality.
By the control to energy storage inverter, energy storage inverter voltage range can be obtained.And energy-storage system as needed The maximum power that moment releases determines the capacity of energy storage inverter, so as to obtain energy storage inverter energy consumption analysis result.
Step S106:It is raw according to energy storage inverter energy consumption analysis as a result, a variety of energy storage inverters are carried out with connection in series-parallel design Into a variety of alternatives.
In the present embodiment, according to the voltage range and capacity of the energy storage inverter of acquisition, then according to voltage range and The matched principle of total capacity carries out connection in series-parallel design to a variety of energy storage inverters, generates a variety of alternatives.
Step S107:A variety of alternatives are assessed, generate assessment result, and according to assessment result from a variety of alternative Final design scheme is selected in scheme.
In this embodiment, in step S107 the specific embodiment of method as shown in fig. 6, particular content is as follows:
Step S501:According to a variety of alternatives, system emulation, generation are carried out by quasi-steady state energy storage simulation model respectively The corresponding index of correlation of a variety of alternatives.
In the present embodiment, according to a variety of alternatives, system emulation is carried out by quasi-steady state energy storage simulation model respectively, The quasi-steady state energy storage simulation model is exactly equal proportion accurate simulation, obtains referring to the corresponding correlation of a alternative by emulation Mark.
Step S502:The index of correlation of a variety of alternatives according to preset standard is assessed, and generates assessed value, is selected The highest alternative of assessed value is selected as final design scheme.
In the present embodiment, to totle drilling cost in engineering life cycle in the economic indicator in index of correlation, total revenue and total The undulating value of net present value (NPV) and technical indicator, stability bandwidth, compensation deviation, fm capacity, maximum reactive-load compensation, power off time, energy storage Life expectancy and energy storage replace number and preset weight respectively, design standards of grading, and standards of grading are for index of correlation marking herein It can be manually scoring, may be alternatively provided as system automatic scoring, by the scoring of indices and multiplied by weight, obtain indices The final scoring of indices is finally added, obtains the assessed value of each alternative, choose assessed value highest by final scoring Alternative as final design scheme.
It was found from above-described embodiment, the embodiment of the present invention generates result of spectrum analysis by obtaining related data curve;Root Energy storage control strategy is selected according to result of spectrum analysis and carries out stored energy capacitance optimization calculating, stored energy capacitance and work(after generation optimization Rate capacity;According to stored energy capacitance and power capacity, energy storage original scheme and index of correlation are generated;Obtain a variety of energy storage inverters simultaneously Energy consumption analysis is carried out respectively, generates energy storage inverter energy consumption analysis result;A variety of energy storage inverters are carried out with connection in series-parallel design, it is raw Into a variety of alternatives.A variety of alternatives are assessed, generate assessment result, and according to assessment result from a variety of alternative sides Final design scheme is selected in case.The present invention is by obtaining the different related datas of different application scene to energy-storage system into professional etiquette It draws and obtains final energy design scheme, improve the power supply reliability of power distribution network, optimize the resource distribution of power distribution network, improve Power quality.
It is to be understood that the size of the sequence number of each step is not meant to the priority of execution sequence, each process in above-described embodiment Execution sequence should determine that the implementation process without tackling the embodiment of the present invention forms any limit with its function and internal logic It is fixed.
Embodiment 2:
As shown in fig. 7, a kind of system 100 for energy-storage system planning that one embodiment of the present of invention provides, for performing The method and step in embodiment corresponding to Fig. 2, including:
Related data curve acquisition module 110, for obtaining related data curve, related data curve includes renewable energy Source output power curve, plan power generation aim curve and load curve.
Result of spectrum analysis generation module 120, for carrying out spectrum analysis to related data curve, generation related data is bent The result of spectrum analysis of line.
Optimum results generation module 130, for according to result of spectrum analysis, selecting energy storage control strategy and carrying out energy storage appearance Amount optimization calculates, stored energy capacitance and power capacity after generation optimization.
Original scheme generation module 140, for according to the stored energy capacitance and power capacity after optimization, generating energy storage original-party Case and index of correlation.
Energy storage inverter energy consumption analysis result-generation module 150, it is inverse to a variety of energy storage for obtaining a variety of energy storage inverters Become device and carry out energy consumption analysis respectively, generate energy storage inverter energy consumption analysis result.
Alternative generation module 160, for according to energy storage inverter energy consumption analysis as a result, to a variety of energy storage inverters into Row connection in series-parallel designs, and generates a variety of alternatives.
Final design schemes generation module 170 for assessing a variety of alternatives, generates assessment result, and root Final design scheme is selected from a variety of alternatives according to assessment result.
In one embodiment of the invention, the optimum results generation module 130 in the embodiment corresponding to Fig. 8, is also wrapped Include to perform the structure of the method and step in the embodiment corresponding to Fig. 4, including:
Selecting unit 131, for according to result of spectrum analysis, selecting the type of energy storage control strategy and energy storage device;
Restrictive condition setting unit 132 for the type according to energy storage device, sets the remaining capacity of energy storage device to limit Condition;
Probability acquiring unit 133, for obtaining the probability for meeting annual stored energy capacitance;
Optimizing capacity acquiring unit 134, for the residue electricity according to the probability and energy storage device for meeting annual stored energy capacitance Measure restrictive condition, stored energy capacitance and power capacity after generation optimization.
In one embodiment of the invention, related data curve acquisition module further includes to perform corresponding to Fig. 3 Method and step in embodiment, including:
Related data acquiring unit, for obtaining related data, related data include regenerative resource output power data, Plan power generation target data and load data;
Related data curve acquisition unit for being calculated into Correlation series related data, generates related data curve.
It was found from above-described embodiment, the present invention by obtain the different related datas of different application scene to energy-storage system into The corresponding planning of row, obtains final energy design scheme, improves the power supply reliability of power distribution network, optimize the resource of power distribution network Configuration, improves power quality.
Embodiment 3:
The embodiment of the present invention additionally provides a kind of server 9, including memory 91, processor 90 and is stored in memory In 91 and the computer program 92 that can run on a processor, the processor 90 are realized such as when performing the computer program 92 The step in each embodiment described in embodiment 1, such as step S101 shown in Fig. 2 to step S107.Alternatively, the processing Device 90 realizes the function of each module in each device embodiment as described in example 2 above when performing the computer program 92, Such as the function of module 110 to 170 shown in Fig. 7.
The server 9 can be the computing devices such as desktop PC, notebook, palm PC and cloud server. The server may include, but be not limited only to processor 90, memory 91.Such as the server can also include input and output Equipment, network access equipment, bus etc..
Alleged processor 90 can be central processing unit (Central Processing Unit, CPU), can also be Other general processors, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field- Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic, Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor Deng.
The memory 91 can be the internal storage unit of the server 9, such as the hard disk or memory of server 9. The memory 91 can also be the External memory equipment of the server 9, such as the plug-in type being equipped on the server 9 is hard Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..Further, the memory 91 can also both include the internal storage unit of server 9 or including outer Portion's storage device.The memory 91 is used to store the computer program 92 and other programs needed for the server 9 And data.The memory 91 can be also used for temporarily storing the data that has exported or will export.
Embodiment 4:
The embodiment of the present invention additionally provides a kind of computer readable storage medium, and computer-readable recording medium storage has meter Calculation machine program is realized the step in each embodiment as described in example 1 above, such as is schemed when computer program is executed by processor Step S101 to step S107 shown in 2.Alternatively, it is realized when the computer program is executed by processor such as institute in embodiment 2 The function of each module in each device embodiment stated, such as the function of module 110 to 170 shown in Fig. 7.
The computer program can be stored in a computer readable storage medium, and the computer program is by processor During execution, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer program code, The computer program code can be source code form, object identification code form, executable file or some intermediate forms etc..Institute Stating computer-readable medium can include:Can carry the computer program code any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic disc, CD, computer storage, read-only memory (ROM, Read-Only Memory), arbitrary access Memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs It is bright, the content that the computer-readable medium includes can according in jurisdiction legislation and patent practice requirement into The appropriate increase and decrease of row, such as in some jurisdictions, according to legislation and patent practice, computer-readable medium does not include being electricity Carrier signal and telecommunication signal.
The steps in the embodiment of the present invention can be sequentially adjusted, merged and deleted according to actual needs.
Module or unit in system of the embodiment of the present invention can be combined, divided and deleted according to actual needs.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention All any modification, equivalent and improvement made within refreshing and principle etc., should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of method of energy-storage system planning, the energy-storage system include energy storage device and energy storage inverter, which is characterized in that The method is applied to server, including:
Related data curve is obtained, the related data curve includes regenerative resource output power curve, plan power generation target Curve and load curve;
Spectrum analysis is carried out to the related data curve, generates the result of spectrum analysis of the related data curve;
According to the result of spectrum analysis, select energy storage control strategy and carry out stored energy capacitance optimization calculating, after generation optimization Stored energy capacitance and power capacity;
According to the stored energy capacitance and power capacity after the optimization, energy storage original scheme and index of correlation are generated;
A variety of energy storage inverters are obtained, energy consumption analysis is carried out respectively to a variety of energy storage inverters, generates the energy storage inversion The energy consumption analysis result of device;
According to the energy consumption analysis of the energy storage inverter as a result, carrying out connection in series-parallel design, generation to a variety of energy storage inverters A variety of alternatives;
A variety of alternatives are assessed, generate assessment result, and according to the assessment result from described a variety of alternative Final design scheme is selected in scheme.
2. the method for a kind of energy-storage system planning as described in claim 1, which is characterized in that the acquisition related data is bent Line, including:
Related data is obtained, the related data includes regenerative resource output power data, plan power generation target data and bears Lotus data;
The related data into Correlation series is calculated, generates related data curve.
3. the method for a kind of energy-storage system planning as described in claim 1, which is characterized in that described according to the related data Result of spectrum analysis selects energy storage control strategy and carries out stored energy capacitance optimization calculating, stored energy capacitance and work(after generation optimization Rate capacity, including:
According to the result of spectrum analysis, the type of selection energy storage control strategy and the energy storage device;
According to the type of the energy storage device, the remaining capacity restrictive condition of the energy storage device is set;
Obtain the probability for meeting annual stored energy capacitance;
Meet the annual probability of stored energy capacitance and the remaining capacity restrictive condition of the energy storage device according to described, after generation optimization Stored energy capacitance and power capacity.
4. a kind of method of energy-storage system planning as described in claim 1, which is characterized in that it is described according to the optimization after Stored energy capacitance and power capacity generate energy storage original scheme and index of correlation, including:
On the basis of stored energy capacitance and power capacity after the optimization stored energy capacitance and work(are adjusted according to preset ratio Rate capacity generates energy storage original scheme;
According to the energy storage original scheme, system emulation is carried out using simplified energy storage simulation model, generates index of correlation.
5. the method for a kind of energy-storage system planning as described in claim 1, which is characterized in that described to a variety of alternative sides Case is assessed, and generates assessment result, and final design side is selected from a variety of alternatives according to the assessment result Case, including:
According to a variety of alternatives, system emulation is carried out by quasi-steady state energy storage simulation model respectively, is generated a variety of alternative The corresponding index of correlation of scheme;
The index of correlation of a variety of alternatives according to preset standard is assessed, and generates assessed value, selects institute's commentary The highest alternative of valuation is as final design scheme.
6. a kind of system of energy-storage system planning, the energy-storage system include energy storage device and energy storage inverter, which is characterized in that Including:
Related data curve acquisition module, for obtaining related data curve, the related data curve includes regenerative resource Output power curve, plan power generation aim curve and load curve;
Result of spectrum analysis generation module for carrying out spectrum analysis to the related data curve, generates the related data The result of spectrum analysis of curve;
Optimum results generation module, for according to the result of spectrum analysis, selecting energy storage control strategy and carrying out stored energy capacitance Optimization calculates, stored energy capacitance and power capacity after generation optimization;
Original scheme generation module, for according to the stored energy capacitance and power capacity after the optimization, generating energy storage original scheme And index of correlation;
Energy storage inverter energy consumption analysis result-generation module, for obtaining a variety of energy storage inverters, to a variety of energy storage inversions Device carries out energy consumption analysis respectively, generates the energy storage inverter energy consumption analysis result;
Alternative generation module, for according to the energy storage inverter energy consumption analysis as a result, to a variety of energy storage inverters Connection in series-parallel design is carried out, generates a variety of alternatives;
Final design schemes generation module for assessing a variety of alternatives, generates assessment result, and according to institute It states assessment result and final design scheme is selected from a variety of alternatives.
A kind of 7. system of energy-storage system planning as claimed in claim 6, which is characterized in that the related data curve acquisition Module, including:
Related data acquiring unit, for obtaining related data, the related data include regenerative resource output power data, Plan power generation target data and load data;
Related data curve acquisition unit for being calculated into Correlation series the related data, generates related data curve.
8. the system of a kind of energy-storage system planning as claimed in claim 6, which is characterized in that the optimum results generate mould Block, including:
Selecting unit, for according to the result of spectrum analysis, selecting the type of energy storage control strategy and the energy storage device;
Restrictive condition setting unit for the type according to the energy storage device, sets the remaining capacity of the energy storage device to limit Condition processed;
Probability acquiring unit, for obtaining the probability for meeting annual stored energy capacitance;
Optimizing capacity acquiring unit, for the residue electricity according to the probability for meeting annual stored energy capacitance and the energy storage device Measure restrictive condition, stored energy capacitance and power capacity after generation optimization.
9. a kind of server, including memory, processor and it is stored in the memory and can transports on the processor Capable computer program, which is characterized in that the processor realizes such as claim 1 to 5 times when performing the computer program The step of one the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists In when the computer program is executed by processor the step of realization such as any one of claim 1 to 5 the method.
CN201711309432.0A 2017-12-11 2017-12-11 A kind of method and system of energy-storage system planning Pending CN108053112A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711309432.0A CN108053112A (en) 2017-12-11 2017-12-11 A kind of method and system of energy-storage system planning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711309432.0A CN108053112A (en) 2017-12-11 2017-12-11 A kind of method and system of energy-storage system planning

Publications (1)

Publication Number Publication Date
CN108053112A true CN108053112A (en) 2018-05-18

Family

ID=62123885

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711309432.0A Pending CN108053112A (en) 2017-12-11 2017-12-11 A kind of method and system of energy-storage system planning

Country Status (1)

Country Link
CN (1) CN108053112A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108958116A (en) * 2018-07-16 2018-12-07 深圳市禾望电气股份有限公司 Control method, system, equipment and the storage medium of power power station experimental rig
CN110266026A (en) * 2019-06-26 2019-09-20 中国能源建设集团广东省电力设计研究院有限公司 A kind of energy storage constant volume method of power plant's energy storage auxiliary frequency modulation
CN113657658A (en) * 2021-08-11 2021-11-16 广东电网有限责任公司 Energy optimization method and device, electronic equipment and storage medium
CN115964903A (en) * 2023-03-16 2023-04-14 北京城市轨道交通咨询有限公司 Energy storage capacity configuration method and device based on urban rail

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014058571A2 (en) * 2012-10-08 2014-04-17 Eaton Corporation Generator dispatching or load shedding control method and system for microgrid applications
CN104734166A (en) * 2015-02-09 2015-06-24 山东大学 Hybrid energy storage system and wind power generation power smooth control method
CN107359611A (en) * 2017-08-07 2017-11-17 中国南方电网有限责任公司电网技术研究中心 Power distribution network equivalence method considering various random factors

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014058571A2 (en) * 2012-10-08 2014-04-17 Eaton Corporation Generator dispatching or load shedding control method and system for microgrid applications
CN104734166A (en) * 2015-02-09 2015-06-24 山东大学 Hybrid energy storage system and wind power generation power smooth control method
CN107359611A (en) * 2017-08-07 2017-11-17 中国南方电网有限责任公司电网技术研究中心 Power distribution network equivalence method considering various random factors

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
白临泉: "储能***规划设计方法与软件开发", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108958116A (en) * 2018-07-16 2018-12-07 深圳市禾望电气股份有限公司 Control method, system, equipment and the storage medium of power power station experimental rig
CN110266026A (en) * 2019-06-26 2019-09-20 中国能源建设集团广东省电力设计研究院有限公司 A kind of energy storage constant volume method of power plant's energy storage auxiliary frequency modulation
CN110266026B (en) * 2019-06-26 2022-10-18 中国能源建设集团广东省电力设计研究院有限公司 Energy storage constant volume method for power plant energy storage auxiliary frequency modulation
CN113657658A (en) * 2021-08-11 2021-11-16 广东电网有限责任公司 Energy optimization method and device, electronic equipment and storage medium
CN115964903A (en) * 2023-03-16 2023-04-14 北京城市轨道交通咨询有限公司 Energy storage capacity configuration method and device based on urban rail

Similar Documents

Publication Publication Date Title
Li et al. Energy management and operational control methods for grid battery energy storage systems
Tan et al. Primary frequency control with BESS considering adaptive SoC recovery
CN108470239A (en) The active distribution network multi objective layered programming method of meter and demand side management and energy storage
Saini et al. An investigation for battery energy storage system installation with renewable energy resources in distribution system by considering residential, commercial and industrial load models
CN108879746B (en) Centralized hybrid energy storage coordination control method based on multi-time scale demand response
CN109787261B (en) Power grid side and user side energy storage system capacity optimization configuration method
Salimi et al. Simultaneous operation of wind and pumped storage hydropower plants in a linearized security-constrained unit commitment model for high wind energy penetration
CN108053112A (en) A kind of method and system of energy-storage system planning
Nikoobakht et al. Electric vehicle mobility and optimal grid reconfiguration as flexibility tools in wind integrated power systems
Soares et al. Cost allocation model for distribution networks considering high penetration of distributed energy resources
CN102097808A (en) Method for estimating reliability of electric distribution system containing distributive wind power, photovoltaic and energy storage devices
CN104638772A (en) Battery energy storage power station energy management method based on wind power prediction
Xiao et al. Flat tie-line power scheduling control of grid-connected hybrid microgrids
CN110535119A (en) Adapt to the energy-accumulating power station period electricity scroll control method of peak load regulation network frequency modulation
CN110492482A (en) It is a kind of for delaying the energy storage economic load dispatching method of controller switching equipment upgrading
Astero et al. Improvement of RES hosting capacity using a central energy storage system
CN107994593A (en) Composite energy storage power system capacity collocation method and terminal device
Fan et al. Scheduling framework using dynamic optimal power flow for battery energy storage systems
CN109617066A (en) Energy storage configuration method based on system of electricity price
CN110661250B (en) Reliability evaluation method and system for wind-solar energy storage and power generation power transmission system
CN107977772A (en) One kind considers the probabilistic distribution network planning method and system of distributed energy
CN113471996B (en) Platform area electric energy control method based on edge calculation
CN108429271A (en) The micro- energy optimization method of mixed energy storage system and system adjusted for frequency
CN106451510A (en) Energy storage station capacity and charge-discharge power configuring method adaptive to peak clipping and valley filling
CN110429614B (en) Distributed energy storage device frequency control method simulating low-frequency load shedding control mode

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180518