CN108008629A - The complementary optimizing operation method for utilizing system of one kind of multiple energy - Google Patents
The complementary optimizing operation method for utilizing system of one kind of multiple energy Download PDFInfo
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- CN108008629A CN108008629A CN201610923174.4A CN201610923174A CN108008629A CN 108008629 A CN108008629 A CN 108008629A CN 201610923174 A CN201610923174 A CN 201610923174A CN 108008629 A CN108008629 A CN 108008629A
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
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Abstract
The invention discloses the complementary optimizing operation method for utilizing system of one kind of multiple energy, it is characterised in that step：1) in the complementary setting supply of cooling, heating and electrical powers scene in utilizing system of various energy resources, consider distributed generation resource, mathematical modeling is carried out to supply of cooling, heating and electrical powers equipment, storage battery and photo-voltaic power supply in scene；2) analysis utilizes the optimization aim of system optimized operation in various energy resources complementation, establishes the environmentally friendly multi-goal optimizing function that cool and thermal power comprehensive energy utilizes system optimized operation, and to its optimization processing；3) determine that various energy resources are complementary and utilize the constraints of system optimized operation, and running optimizatin is carried out using system to cool and thermal power comprehensive energy after constraints is handled.The present invention combines the characteristics of cold and hot electrical load requirement is with distributed energy demand, a variety of electric system, success the advantages that realizing that is highly practical and can ensureing integrated energy system optimization operation are applicable to, quickly realizes that comprehensive energy utilizes the collaboration total optimization of system.
Description
Technical field
The invention belongs to intelligent grid field, particularly one kind of multiple energy are complementary to utilize system.
Background technology
Various energy resources complementation is that the wind-force of access certain scale, photovoltaic generation etc. can on traditional power distribution network using system
The renewable sources of energy, energy storage device and gas turbine etc., guiding user equipment participates in the energy-saving and environmental protection and economical operation of system, with more
The deficiency of transmission of electricity is sent out in supplementary set, the safe for operation of power grid is ensured and maximally utilises various energy resources resource, reach more high energy
A kind of new powered mode of source comprehensive utilization ratio, its principal mode is cooling heating and power generation system.
The features such as cooling heating and power generation system is adaptable and reliability is preferable, for the cold and hot electric load of dynamic, in order to make
Cooling heating and power generation system can effectively be distributed hot and cold between electricity, not only related to the characteristic of equipment itself, also with setting
Standby capacity, the method for operation are related to organizational form.By holding to the unit form of cooling heating and power generation system, number of devices, equipment
Amount selection and the optimum organization mode of Absorption Refrigerator and compression electric refrigerating machine, realize the economy of cooling heating and power generation system
The advantage such as property, high efficiency, the feature of environmental protection, improves the competitiveness of system.
As various energy resources are complementary increasingly mature using System Development, optimization operation of the user for system also has more next
Higher requirement.The quantity of energy that is consumed during system operation, the carbon dioxide of discharge, pollution to environment etc. are optimization needs
The problem of consideration, therefore, should not only be conceived to economic benefit, it is contemplated that environment for the optimisation strategy of system operation
Benefit and energy-saving benefit.So patent of the present invention is based on considering economic benefit, environmental benefit and source benefit, it is proposed that Yi Zhonghuan
The optimizing operation method provided multiple forms of energy to complement each other using system of border friendly.
The content of the invention
It is an object of the invention to overcome the shortcomings of original technology, the multipotency for propose that a kind of design is reasonable, being easily achieved is mutual
The method using system optimized operation is mended, is established comprising the complementary profit of various energy resources including photovoltaic, supply of cooling, heating and electrical powers and storage battery
With the model of system, optimization operation is solved the problems, such as.
The present invention solves its technical problem and takes following technical scheme to realize：
The complementary optimizing operation method for utilizing system of one kind of multiple energy, comprises the following steps：
Step 1: in the complementary setting supply of cooling, heating and electrical powers scene in utilizing system of various energy resources, distributed generation resource is considered, to field
Supply of cooling, heating and electrical powers equipment, storage battery and photo-voltaic power supply carry out mathematical modeling in scape；
Step 2: analysis utilizes the optimization aim of system optimized operation in various energy resources complementation, cool and thermal power synthesis energy is established
Source utilizes the environmentally friendly multi-goal optimizing function of system optimized operation, and to its optimization processing；
Step 3: determine the complementary constraints for utilizing system optimized operation of various energy resources, and by constraints
Reason
Running optimizatin is carried out using system to cool and thermal power comprehensive energy afterwards.
2nd, the equipment chosen in the step 1 includes：Gas turbine, storage battery, photovoltaic cell, Absorption Refrigerator, pressure
Contracting formula electric refrigerating machine, heat storage tank.
3rd, the storage battery carries out mathematical modeling, the mathematical model expression of its remaining battery capacity using KiBam models
Formula is：
4th, heat storage tank carries out mathematical modeling using KiBam models in the equipment.
5th, the company supply in equipment absorption refrigeration unit, compression electric refrigerating machine, gas fired-boiler etc. using input with
The achievement of Energy Efficiency Ratio is equal to the mathematical model of output.
Compared with prior art, the present invention its remarkable advantage is：The present invention combines cold and hot electrical load requirement and distribution
The characteristics of energy demand, closed according to the optimal solution of fitness information Solve problems, and using suitable complicated, non-linear He Qiang Said
The particle swarm optimization algorithm of comprehensive energy runtime.Simplified device model is established, the actual conditions of aggregation system operation are comprehensive
Close economical.Environment and energy factor, choose suitable optimization object function, and in view of institute's Constrained bar of system operation
Part, completes planning algorithm.Whole optimization algorithm has calculating speed fast, is applicable to a variety of electric system, highly practical cuts energy
Enough ensure the advantages that success of integrated energy system optimization operation is realized, quickly realize that comprehensive energy is overall using the collaboration of system
It is optimal.
The present invention is described in further detail below in conjunction with the accompanying drawings.
Brief description of the drawings
Fig. 1 utilizes system optimization block diagram for various energy resources are complementary
Fig. 2 runs for various energy resources complementary system can flow diagram
In Fig. 1,1 includes establishing device model, establishes optimization aim；2 include establishing running Optimization target；3 include
Consider constraints, and work out optimization algorithm, input initial data, and obtain optimum results.
Embodiment
The invention will be further described below in conjunction with the accompanying drawings：
The complementary optimizing operation method for utilizing system of one kind of multiple energy, as shown in Figure 1, comprising the following steps：
Step 1, set supply of cooling, heating and electrical powers scene in providing multiple forms of energy to complement each other using system, distributed generation resource is considered, in scene
Supply of cooling, heating and electrical powers equipment, storage battery and photo-voltaic power supply carry out mathematical modeling；
The optimization aim that step 2, analysis are provided multiple forms of energy to complement each other using system optimized operation, establishes cool and thermal power comprehensive energy using system
The multi-goal optimizing function of system optimization operation, and to its optimization processing；
Step 3, determine the constraints provided multiple forms of energy to complement each other using system optimized operation, and right after constraints is handled
Cool and thermal power comprehensive energy carries out running optimizatin using system.
Further, the equipment chosen in the step 1 includes gas turbine, storage battery, photovoltaic cell, absorption refrigeration
Machine, compression electric refrigerating machine, heat storage tank.
Further, the target chosen in the step 2 includes economic benefit, environmental benefit and energy-saving benefit.Described is comprehensive
The evaluation index of each optimization aim for closing energy utilization system is respectively：
1. economic benefit f1Evaluation index be to include equipment initial outlay expense, system operation maintenance cost, fuel cost
With the sum of various expenses including the power expense interacted with power grid；
minf1=Cinf+Cfuel+Com+Cgrid
In formula, CinfEquipment initial outlay year equivalence cost；CfuelFor system fuel expense；ComFor system equipment running cost
With；CgridFor micro-capacitance sensor and the power expense of power grid conversion.
Cinf=R (Pcap,GT·CGT+Pcap,TST·CTST+Pcap,GB·CGB+Qcap,AC·CAC+
Qcap,EC·CEC+Pcap,pv·Cpv+Pcap,BT·CBT)
C in formulaGTFor investing unit's Capacity Cost of gas turbine；CTSTFor heat storage tank unit capacity cost；CGBFor combustion gas
The unit capacity cost of turbine；CACFor the unit capacity cost of absorption refrigeration agent；CECFor electric refrigerating machine unit capacity cost；
CpvFor photovoltaic cell unit capacity cost；CBTFor battery cell's Capacity Cost；Subscript cap represents equipment rated capacity；R tables
Show the fund year rate of recovery；N is duration of service；R is discount rate, its value is weighted average cost of capital, is invested for calculating
The net present value (NPV) and net present value (NPV) coefficient of scheme, carry out investment decision.
System fuel expense includes gas turbine fuel expense and gas fired-boiler fuel cost；
System operation maintenance cost includes the maintenance cost of capital equipment；
System interacts expense with bulk power grid；
In formula, which typical day M represents；T represents system in typical day operation hourage；djRepresent typical day operation day
Number；kom,iSystem equipment operation and maintenance cost；γ values are 0 or 1, as γ=0, represent that micro-capacitance sensor does not collect sale of electricity work(to major network
Rate expense, as γ=1, represents that micro-capacitance sensor obtains income, C by sale of electricity to major networkph,CseRespectively micro-capacitance sensor purchase sale of electricity expense
With；Pex,j(t) represent that microgrid from power grid power purchase, represents that microgrid exports electricity to power grid less than 0 when being more than 0.
2. environmental benefit f2Using carbon emission amount as environmental assessment index, discharge capacity minimum target function is set up.
3. energy-saving benefit f3Evaluation index be primary energy consumption
Further, the constraints of the step 3 includes electric energy balance equality constraint, thermal energy balance inequality constraints, combustion
Gas-turbine units limits, interact power constraint, gas fired-boiler processing constraint, heat storage tank operation constraint and storage battery constraint with major network
Condition.
(1) electric energy balance equality constraint
Electric energy balance mainly meets electric load and driving electric refrigerating machine by gas turbine, storage battery, photovoltaic cell and power grid,
Storage battery has discharge and recharge both of which, therefore electric energy balance equation is as follows：
Battery discharging：
Storage battery charges：
(2) thermal energy balance inequality constraints
Thermal energy balance mainly meets that thermic load and driving are absorption by the waste heat of gas turbine recycling, heat storage tank gas fired-boiler
Refrigeration machine, heat storage tank has the hot both of which of charge and discharge, therefore balance equation of heat energy is as follows：、
Heat storage tank heat release：
Heat storage tank accumulation of heat：
(3) cold energy equation constrains
Cold energy balance mainly meets the needs of refrigeration duty by absorption refrigerating machine and electric refrigerating machine, its balanced type is as follows：
QAC,j(t)+QEC,j(t)=Qc,j(t)
(4) Gas Turbine Output constrains:
In formula, δj(t) represented respectively for state variable of the j typical day of gas turbine in the t periods, binary variable 1 and 0
Operating states of the units and halted state；WithUnit output lower and upper limit are represented respectively.Unit ramp loss mainly divides
Unit Commitment Climing constant and continuous operation two class of Climing constant,WithRepresent unit in continuous operation most respectively
The power output that increases and maximum drop power output；WithRepresent that unit starting increases power output and shuts down drop power respectively
Contribute.WithIt is being continuous operating time and continuous downtime before the period to represent unit respectively；WithTable respectively
Show the minimum continuous operating time of unit and minimum continuous downtime.
(5) power constraint is interacted with major network
(6) gas fired-boiler units limits
(7) heat storage tank operation constraint
In formula,WithIt is the accumulation of heat constraint of heat storage tank,WithIt is the heat release constraint of heat storage tank.
Heat storage tank operation rule：Heat storage tank, can be by unnecessary thermal energy storage when the heat of recycling can meet thermal demand
Get up, when thermal energy cannot meet workload demand, heat storage tank heat release, insufficient section supplements thermal energy by gas fired-boiler.
(8) storage battery constraints
Storage battery is equipment important in micro-capacitance sensor, can stabilize the fluctuation of regenerative resource and improve efficiency of energy utilization,
Play the role of peak load shifting, strengthen the economic benefit of micro-capacitance sensor.Battery discharging depth can influence storage battery in practice
Service life；Therefore, storage battery there are minimum capacityIt is necessary that the discharge and recharge behavior to storage battery constrains.Herein
In 1 is all set to the efficiency for charge-discharge of storage battery.
The optimization aim of system optimized operation is finally utilized in various energy resources complementation in analysis, determining to provide multiple forms of energy to complement each other utilizes system
The constraints of system optimization operation, and constraints is handled and then cool and thermal power comprehensive energy is carried out using system
Running optimizatin.
Claims (5)
1. the complementary optimizing operation method for utilizing system of one kind of multiple energy, it is characterised in that comprise the following steps：
Step 1: in the complementary setting supply of cooling, heating and electrical powers scene in utilizing system of various energy resources, distributed generation resource is considered, in scene
Supply of cooling, heating and electrical powers equipment, storage battery and photo-voltaic power supply carry out mathematical modeling；
Step 2: analysis utilizes the optimization aim of system optimized operation in various energy resources complementation, cool and thermal power comprehensive energy profit is established
With the environmentally friendly multi-goal optimizing function of system optimized operation, and to its optimization processing；
Step 3: determining that various energy resources are complementary utilizes the constraints of system optimized operation, and after constraints is handled
Running optimizatin is carried out using system to cool and thermal power comprehensive energy.
2. optimizing operation method according to claim 1, it is characterised in that the supply of cooling, heating and electrical powers chosen in the step 1
Equipment includes：Gas turbine, storage battery, photovoltaic cell, Absorption Refrigerator, compression electric refrigerating machine, heat storage tank.
3. optimizing operation method according to claim 2, it is characterised in that：The storage battery is carried out using KiBam models
Mathematical modeling, the mathematical model expression formula of its remaining battery capacity are：
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4. the complementary optimizing operation method for utilizing system of one kind of multiple energy according to claim 2, it is characterised in that：Institute
State heat storage tank in equipment and mathematical modeling is carried out using KiBam models.
5. optimizing operation method according to claim 2, it is characterised in that：The company supplies Absorption Refrigerator in equipment
Group, compression electric refrigerating machine, gas fired-boiler etc. are equal to the mathematical model of output using the achievement of input and Energy Efficiency Ratio.
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| CN109768567A (en) * | 2018-12-20 | 2019-05-17 | 清华大学 | A kind of Optimization Scheduling coupling multi-energy complementation system |
| CN109767029A (en) * | 2018-12-14 | 2019-05-17 | 华北电力大学 | Cold, heat and power triple supply system capacity collocation method and system in local energy internet |
| CN111445107A (en) * | 2020-03-02 | 2020-07-24 | 山东大学 | Multi-objective optimization configuration method for cold-heat-power combined supply type micro-grid |
| CN112070628A (en) * | 2020-09-02 | 2020-12-11 | 沈阳工程学院 | Intelligent power grid multi-target economic dispatching method considering environmental factors |
| CN113191083A (en) * | 2021-04-30 | 2021-07-30 | 西安交通大学 | Optimization design method of flue gas waste heat recovery system considering all-working-condition external parameter change |
| CN113807746A (en) * | 2021-10-20 | 2021-12-17 | 南京信息工程大学 | Comprehensive operation optimization method of combined cooling heating and power system |
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| CN109767029A (en) * | 2018-12-14 | 2019-05-17 | 华北电力大学 | Cold, heat and power triple supply system capacity collocation method and system in local energy internet |
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| CN113191083B (en) * | 2021-04-30 | 2022-12-02 | 西安交通大学 | Optimization design method of flue gas waste heat recovery system considering all-working-condition external parameter change |
| CN113807746A (en) * | 2021-10-20 | 2021-12-17 | 南京信息工程大学 | Comprehensive operation optimization method of combined cooling heating and power system |
| CN113807746B (en) * | 2021-10-20 | 2023-06-27 | 南京信息工程大学 | Comprehensive operation optimization method of combined cooling heating power system |
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Application publication date: 20180508 |