CN107508328A - Consider the association system energy optimizing method of wind electricity digestion - Google Patents

Consider the association system energy optimizing method of wind electricity digestion Download PDF

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Publication number
CN107508328A
CN107508328A CN201710226096.7A CN201710226096A CN107508328A CN 107508328 A CN107508328 A CN 107508328A CN 201710226096 A CN201710226096 A CN 201710226096A CN 107508328 A CN107508328 A CN 107508328A
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power
unit
wind
electric
formula
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Inventor
王振浩
杨璐
徐冰亮
李国庆
祖光鑫
李卫国
王朝斌
于海洋
武国良
郑君
张美伦
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Heilongjiang Electric Power Co Ltd
Northeast Electric Power University
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State Grid Corp of China SGCC
Northeast Dianli University
Electric Power Research Institute of State Grid Heilongjiang Electric Power Co Ltd
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Priority to CN201710226096.7A priority Critical patent/CN107508328A/en
Publication of CN107508328A publication Critical patent/CN107508328A/en
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48—Controlling the sharing of the in-phase component
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Wind Motors (AREA)

Abstract

A kind of association system energy optimizing method for considering wind electricity digestion, belong to new-energy grid-connected optimization operation field.The purpose of the present invention is for abandoning wind problem, utilize the co-generation unit of wind-powered electricity generation electricity energy storage formula electric boiler cooperation, with economy most preferably target, by increasing load space, the association system energy optimizing method for the consideration wind electricity digestion for abandoning wind-powered electricity generation amount is effectively reduced.The present invention step be：（1）Establish the overall system framework for including conventional fired power generating unit, cogeneration units, Wind turbines, electric energy storage and heat storage electric boiler；（2）CHP system comprehensive modeling；（3）Establish Optimum Economic object function；（4）Establish the electric power and the operation constraints of heating power energy balance relations and each unit during system operation is coordinated in cogeneration of heat and power；（5）Optimized for each unit active power output.The present invention is advantageous to the utilization of wind-powered electricity generation, improves the power supply reliability of power system.The net provincial companies at different levels containing large-scale wind power can be applied to, had broad application prospects.

Description

Consider the association system energy optimizing method of wind electricity digestion
Technical field
The present invention relates to a kind of wind-powered electricity generation-electric energy storage-heat storage electric boiler association system for considering wind electricity digestion is energy-optimised Method, belong to new-energy grid-connected optimization operation field.
Background technology
Wind-power electricity generation is that technology is most ripe in current generation of electricity by new energy, before on the largest scaleization exploit condition and commercialized development One of generation mode of scape.However, wind-powered electricity generation permeability increases sharply, wind power plant can not grid-connected phenomenon highlight all the more, it is huge to abandon Wind-powered electricity generation amount turns into the focus of social concerns, and the key that wind electricity digestion has become influence China's Wind Power Generation Industry sustainable and healthy development is asked Topic.Especially in China's Wind Power Development rapidly " three Norths "（Refer to northeast, North China, northwest）Regional wind-abandoning phenomenon is more prominent.Analysis Its reason, on the one hand, power supply architecture is unreasonable, and it is substantially insufficient to possess the power supply ratio of flexible modulation ability, peak regulation difficulty be present, Especially heating period in the winter time, thermal power plant unit total amount is big, ratio is high, and the operational mode of " electricity determining by heat " reduce further regulation energy Power, abandon wind and ration the power supply that the situation is tense；On the other hand, local electric load total amount is small, and wind-powered electricity generation long-distance sand transport is hindered, causes Larger abandons wind.
Wind-powered electricity generation energy storage hybrid system can be effectively improved the randomness and fluctuation of wind power output, make it have it is certain can Scheduling property.However, energy storage cost is high, technical merit is relatively not mature enough, is still the problem of being worthy of consideration in actual applications.Profit Heat supply is carried out with electric boiler, relative can improve local power load total amount, provides space for wind-powered electricity generation online, while coal can be avoided Dusty gas discharges caused by charcoal burns.Electric heating association system comprising Large Copacity heat accumulation can improve Operation of Electric Systems control Flexibility, so as to the ability of lifting system consumption wind-powered electricity generation.Heat-storing device can decouple electric, hot rigid constraint relation, improve system Regulating power.Prior art can jump out conventional electric power system category, take into full account the complementarity of power system and therrmodynamic system, Energy source optimization allocative abilities are lifted in broader space-time unique, but mostly individually consider electric energy storage, heat-storing device and electricity Boiler abandons wind action for consumption, and the less wind consumption effect of abandoning to triple combination's operation carries out analysis discussion.
The content of the invention
The purpose of the present invention is for abandoning wind problem, utilizing the thermoelectricity of wind-powered electricity generation-electric energy storage-heat storage electric boiler cooperation Co-generation system, with economy most preferably target, by increasing load space, effectively reduce the consideration wind electricity digestion of abandoning wind-powered electricity generation amount Association system energy optimizing method.
The present invention step be：
（1）Establish comprising the total of conventional fired power generating unit, cogeneration units, Wind turbines, electric energy storage and heat storage electric boiler Body system architecture；
（2）The cogeneration system for configuring electric energy storage and heat storage electric boiler constrains to decouple traditional " electricity determining by heat ", thermoelectricity Association system comprehensive modeling；
（3）Establish Optimum Economic object function；
（4）Establish the operation constraint of the electric power and heating power energy balance relations and each unit during system operation is coordinated in cogeneration of heat and power Condition；
（5）Optimized for each unit active power output.
The present invention step be：
（1）Electric energy storage list is being added based on cogeneration units containing heat accumulation and abandoning in wind consumption coordinative dispatching model for electric boiler Member；
（2）CHP system comprehensive modeling：
（2-1）Establish Type of Mathematical Model of Thermal Power Plant：Using the fuel cost that the quadric form of generated output represents as：
（1）
In formula,C GFor the fuel cost of fired power generating unit；T For scheduling slot sum；NFor the quantity of fired power generating unit；a i 、b i Withc i For Fired power generating unitiCoal consumption coefficient；
Make corresponding start according to load condition at different moments is with shutdown action and caused switching cost：
（2）
In formula,C STFor the start-up and shut-down costs of fired power generating unit；u i,t For uniti tThe running status at moment,u i,t For 1 when represent machine Group operation,u i,t For 0 when represent compressor emergency shutdown；S i For conventional power unitiStart-up cost once；
（2-2）Establish steam-extracting type cogeneration units mathematical modeling, heating powerH CHP,i,t 、Generated outputP CHP,i,t , incite somebody to action the two Electrical power under the pure condensate operating mode being converted to, obtains the fuel cost of steam-extracting type cogeneration units：
（3）
In formula,A i 、B i 、C i 、D i 、E i WithF i For the coal consumption coefficient of cogeneration units, bya i 、b i 、c i WithC V It is calculated；MTo take out The quantity of vapour formula unit；
（2-3）Establish electric energy-storage system mathematical modeling：
（4）
In formula,E EES,t For the periodtElectric stored energy capacitance；τFor electric energy storage self-discharge rate；P EES_ch,t 、P EES_dis,t Withγ EES_ch、 γ EES_disRespectively batteries existt The charge-discharge electric power and efficiency of period；
（2-4）Heat storage electric boiler mathematical modeling is established, its electric boiler output model is as follows：
（5）
In formula,P EBWithH EBThe respectively period t Interior electric boiler electricity consumption and heats power；η ah For electric boiler electric conversion efficiency；
Regenerative capacity mathematical modeling is：
(6)
In formula,S HS,t For the period t Regenerative capacity；μFor radiation loss rate；H HS_in,t 、 H HS_out,t Withλ HS-in,t 、λ HS_out,t Point Wei not the period t Interior suction heat release power and efficiency；
（3）Establish Optimum Economic object function：
Overall goal function is as follows：
（7）
（8）
（9）
（10）
（11）
（12）
In formula, MINFFor system operation minimum cost；C FU、C ST、C OM、C ET、C CURTWithC HEThe respectively periodt Interior fuel Cost, start-up and shut-down costs, maintenance cost, Environmental costs, abandon eolian and sell hot income；P i,t For uniti tThe output at moment；n For unit sum in systemK om,i For unitiOrganizational maintenance cost；V ej For j The environmental value of item pollutant；V j For Thej Item pollutant is suffered to impose a fine；Q ij ForiThe of individual unit of cells electricityj Item pollutant discharge amount；mFor pollutant Species；P FORECAST,i,t For Wind turbinesi tThe prediction generated output at moment；P W,i,t For Wind turbinesi tThe actual hair at moment Electrical power；RFor the quantity of Wind turbines；εFor penalty factor；C heTo sell hot unit price；H HEFor thermic load in net；
（4）Establish the operation constraint of the electric power and heating power energy balance relations and each unit during system operation is coordinated in cogeneration of heat and power Condition：
（4-1）Meet that energy balance constrains：
（4-1-1）Electrical power balances：
（13）
（4-1-2）Heating power balance：
（14）
（4-2）Meet that conventional power unit constrains：
（4-2-1）Unit output constrains：
（15）
In formula：P G,i,minFor conventional fired power generating unit i t minimum generated output；P G,i,maxFor conventional fired power generating uniti t The maximum power generation at moment；
（4-2-2）Unit ramp loss：
（16）
In formula：R G,i,downWithR G,i,upRespectivelyiPlatform unit existstMoment climbing rate up and down；
Unit Commitment Constraint：
（17）
In formula,M i For unit within dispatching cycle maximum allowable start-stop time；
（4-3）Meet electric energy storage constraint：Stored energy capacitance remains unchanged all the time in whole cycle, i.e.,：
（18）
In formula,E EES,TWithE EES,0The respectively termination capacity and initial capacity of battery, meanwhile, battery is in use The capacity and charge-discharge electric power restricting relation being subject to are as follows：
（19）
（20）
In formula,E EES,minWithE EES,maxMinimum and maximum capacity respectively under battery stable operation；E EES,nomFor battery Rated capacity, in synchronization, battery is only capable of operating under charge or discharge one of which pattern, therefore has：
（21）
（4-4）Meet that heat storage electric boiler constrains：
（4-4-1）Electric boiler operation is constrained to：
（22）
Heat-storing device operation is constrained to：
（23）
In formula,S HS,TAnd SHS,0The respectively termination capacity and initial capacity of heat-storing device；S HS,minWithS HS,maxIt is respectively stable Minimum and maximum capacity under service condition；S HS,nomFor the rated capacity of battery；
（5）Consider environmental goals and wind electricity digestion targeted transformation are financial cost, particle swarm optimization algorithm initial value be with Machine population, assess each particle and obtain initial global optimum position, in an iterative process, particle is by tracking individual extreme value and complete Office's extreme value constantly updates speed and the position of oneself, particle quality is evaluated by fitness function, to new position and history Optimal location is updated, and compares iteration repeatedly so as to obtain optimal solution.
Important means of the present invention using the load with adjustable characteristic as consumption wind-powered electricity generation, is participated in jointly with normal power supplies The Optimized Operation of power network, form source lotus coordination optimization traffic control system.Improve the wind electricity digestion capability and system operation of power network Economy.The present invention is advantageous to the utilization of wind-powered electricity generation, improves the power supply reliability of power system.It can be applied to containing big rule The net provincial companies at different levels of mould wind-powered electricity generation, have broad application prospects.
Brief description of the drawings
Fig. 1 is system global structure；
Fig. 2 is steam-extracting type cogeneration units Electrothermal Properties；
Fig. 3 is model solution flow chart；
Fig. 4 is wind power prediction curve and daily load curve figure；
Fig. 5 is wind electricity digestion effect contrast figure；
Fig. 6 is the heat-accumulator tank quantity of heat storage variation diagram of mode 3；
Fig. 7 is electric energy storage power.
Embodiment
The present invention step be：
（1）Establish comprising the total of conventional fired power generating unit, cogeneration units, Wind turbines, electric energy storage and heat storage electric boiler Body system architecture；
（2）The cogeneration system for configuring electric energy storage and heat storage electric boiler constrains to decouple traditional " electricity determining by heat ", thermoelectricity Association system comprehensive modeling；
（3）Establish Optimum Economic object function；
（4）Establish the operation constraint of the electric power and heating power energy balance relations and each unit during system operation is coordinated in cogeneration of heat and power Condition；
（5）Optimized for each unit active power output.
The present invention is described in detail with reference to the accompanying drawings and detailed description.
A kind of wind-powered electricity generation-electric energy storage-heat storage electric boiler association system energy optimizing method for considering wind electricity digestion, including such as Lower step：Specific implementation step is as follows：
（1）Based on document《Wind of abandoning based on cogeneration units containing heat accumulation and electric boiler dissolves coordinative dispatching model》It it is possible to additionally incorporate Electrical energy storage unit, it is connected in parallel in power network, establishes comprising conventional fired power generating unit, cogeneration units（CHP）, Wind turbines, energy storage And the overall system framework of heat storage electric boiler, as shown in Figure 1.Using electric energy storage buffer energy, at the same it is real using wind-powered electricity generation amount is abandoned Heat supply is now cleaned, according to wind-power electricity generation changes constantly regulate energy storage device working method, cogeneration units are contributed and electric boiler Electricity capacity, obtain optimal economic benefit.
（2）The cogeneration system for configuring electric energy storage and heat storage electric boiler constrains to decouple traditional " electricity determining by heat ", thermoelectricity Association system comprehensive modeling.
(2-1) establishes Type of Mathematical Model of Thermal Power Plant.Using the fuel cost that the quadric form of generated output represents as：
(1)
In formula,C GFor the fuel cost of fired power generating unit；T For scheduling slot sum；NFor the quantity of fired power generating unit；a i 、b i Withc i For Fired power generating unitiCoal consumption coefficient.In addition to fuel cost, unit can be made according to load condition at different moments it is corresponding start and Simultaneously caused switching cost is shutdown action：
(2)
In formula,C STFor the start-up and shut-down costs of fired power generating unit；u i,t For uniti tThe running status at moment,u i,t For 1 when represent machine Group operation,u i,t For 0 when represent compressor emergency shutdown；S i For conventional power unitiStart-up cost once.
（2-2）Steam-extracting type cogeneration units mathematical modeling is established, electric heating operation characteristic is as shown in Figure 2.Heating powerH CHP,i,t 、Generated outputP CHP,i,t , the electrical power under the pure condensate operating mode that the two is converted to, obtain steam-extracting type cogeneration units Fuel cost：
(3)
In formula,A i 、B i 、C i 、D i 、E i WithF i , can be by for the coal consumption coefficient of cogeneration unitsa i 、b i 、c i WithC V It is calculated；MFor The quantity of steam-extracting type unit.
（2-3）Establish electric energy-storage system mathematical modeling.This patent is using the plumbic acid for being applied to large-scale electrical power system at present Battery, its stored energy capacitance and charging, discharge power relation are：
(4)
In formula,E EES,t For the periodtElectric stored energy capacitance；τFor electric energy storage self-discharge rate；P EES_ch,t 、P EES_dis,t Withγ EES_ch、 γ EES_disRespectively batteries existt The charge-discharge electric power and efficiency of period.
（2-4）Heat storage electric boiler mathematical modeling is established, its electric boiler output model is as follows：
(5)
In formula,P EBWithH EBThe respectively period t Interior electric boiler electricity consumption and heats power；η ah For electric boiler electric conversion efficiency. Abandon air quantity it is larger when, improve electric boiler contribute it is larger, now heating capacity exceeds thermal load demands, using heat-accumulator tank to excess heat Stored.It is smaller or without when abandoning wind to abandon air quantity, electric boiler is contributed smaller or even stops contributing, heat-accumulator tank release heat and thermoelectricity Unit coordinates and meets thermal load demands.Its regenerative capacity mathematical modeling is：
(6)
In formula,S HS,t For the period t Regenerative capacity；μFor radiation loss rate；H HS_in,t 、 H HS_out,t Withλ HS-in,t 、λ HS_out,t Point Wei not the period t Interior suction heat release power and efficiency.
（3）Establish Optimum Economic object function.In the case where meeting normal operation constraint, pass through going out for reasonable arrangement each unit Power situation, make total operating cost minimum.Wherein introduce and abandon eolian, can preferably examine the effect of consumption wind-powered electricity generation.
Overall goal function is as follows：
(7)
(8)
(9)
(10)
(11)
(12)
In formula, MINFFor system operation minimum cost；C FU、C ST、C OM、C ET、C CURTWithC HEThe respectively periodt Interior fuel Cost, start-up and shut-down costs, maintenance cost, Environmental costs, abandon eolian and sell hot income；P i,t For uniti tThe output at moment；n For unit sum in systemK om,i For unitiOrganizational maintenance cost；V ej For j The environmental value of item pollutant；V j For Thej Item pollutant is suffered to impose a fine；Q ij ForiThe of individual unit of cells electricityj Item pollutant discharge amount；mFor pollutant Species；P FORECAST,i,t For Wind turbinesi tThe prediction generated output at moment；P W,i,t For Wind turbinesi tThe actual hair at moment Electrical power；RFor the quantity of Wind turbines；εFor penalty factor；C heTo sell hot unit price；H HEFor thermic load in net.
（4）Establish the operation of the electric power and heating power energy balance relations and each unit during system operation is coordinated in cogeneration of heat and power Constraints.In following steps：(4-1) is used for constraining step (3), ensures system self-energy balance；(4-2) is used for constraining step （2-1）, ensure fired power generating unit safe and stable operation；(4-3) is used for constraining) (2-3), ensure electric energy storage normal operation work；(4- 4) it is used for constraining (2-4), ensures that electric boiler and heat storage can are run in the secure state.
（4-1）Meet that energy balance constrains.
Electrical power balances：
(13)
Heating power balance：
(14)
（4-2）Meet that conventional power unit constrains.
Unit output constrains：
(15)
In formula：P G,i,minFor conventional fired power generating unit i t minimum generated output；P G,i,maxFor conventional fired power generating uniti t The maximum power generation at moment.Unit ramp loss：
(16)
In formula：R G,i,downWithR G,i,upRespectivelyiPlatform unit existstMoment climbing rate up and down.Cogeneration units Contribute and the constraint of climbing rate is similar with conventional fired power generating unit.
Unit Commitment Constraint：
(17)
In formula,M i For unit within dispatching cycle maximum allowable start-stop time.
（4-3）Meet electric energy storage constraint.Battery can be translated energy in time, but not produce electric energy, because This stored energy capacitance remains unchanged all the time in whole cycle, i.e.,：
(18)
In formula,E EES,TWithE EES,0The respectively termination capacity and initial capacity of battery.Meanwhile battery is in use The capacity and charge-discharge electric power restricting relation being subject to are as follows：
(19)
(20)
In formula,E EES,minWithE EES,maxMinimum and maximum capacity respectively under battery stable operation；E EES,nomFor battery Rated capacity.In synchronization, battery is only capable of operating under charge or discharge one of which pattern, therefore has：
(21)
（4-4）Meet that heat storage electric boiler constrains.
Electric boiler operation is constrained to：
(22)
Heat-storing device operation is constrained to：
(23)
In formula,S HS,TAnd SHS,0The respectively termination capacity and initial capacity of heat-storing device；S HS,minWithS HS,maxIt is respectively stable Minimum and maximum capacity under service condition；S HS,nomFor the rated capacity of battery.
（5）It is financial cost to consider by environmental goals and wind electricity digestion targeted transformation for Fig. 1 systems.Due to wherein Optimizing solution is carried out comprising minimum value function, substantial amounts of equality constraint and inequality constraints equation, therefore using particle cluster algorithm. Model solution flow chart is as shown in Figure 3.Particle swarm optimization algorithm initial value is random particles group, assesses each particle and obtains initially entirely Office's optimal location, in an iterative process, particle constantly updates speed and the position of oneself by tracking individual extreme value and global extremum Put.Particle quality is evaluated by fitness function, new position and history optimal location are updated, compare iteration repeatedly So as to obtain optimal solution.
（6）Ignore energy storage device and line loss herein, simulation comparison analysis is carried out with other two ways, for each list First active power output optimizes, final to realize the purpose for reducing and abandoning wind.
Simulation analysis
Embodiment one：
Herein by taking the real data of Jilin Province somewhere as an example.Certain typical day wind power prediction curve and daily load curve such as Fig. 4 institute Show.Thermoelectric perpetual motion machine kludge capacity is 200 MW in system, is run using " electricity determining by heat " mode, and its hotspot stress is 1.Meanwhile match somebody with somebody The heat-accumulator tank of 90MW electric boilers and maximum heat storage capacity for 900GJ is put, electric energy-storage system maximum charge-discharge electric power is 10MW, scheduling When hop count T=24, the h of unit scheduling time Δ t=1；Take and sell hot income Che=0.1 yuan/(kW h).
The method of operation 1：" electricity determining by heat " rigid electro thermal coupling scheduling mode of traditional approach.Electric energy storage device and heat accumulating type Electric boiler is not involved in dispatching, cogeneration units alone bear thermal load demands.
The method of operation 2：Heat storage electric boiler and cogeneration units heat supply simultaneously, do not consider the effect of electric energy storage device.
The method of operation 3：The scheduling mode of wind-powered electricity generation-electric energy storage-heat accumulating type unified boiler operation.
Wind electricity digestion Contrast on effect curve under 3 kinds of methods of operation is as shown in figure 5, through analysis, in 3 times operations of mode, wind Electric digestion capability is substantially improved, and wind power output almost can completely dissolve close to predicted value and abandon wind-powered electricity generation amount.Optimize result of calculation such as table Shown in 1, operate under mode 3, financial cost is saved to 155.76 ten thousand yuan, and wind electricity digestion rate is promoted to 95.6%, it is seen then that wind-powered electricity generation- Electric energy storage-heat storage electric boiler cooperation can realize that wind energy utilization is maximum and obtains Best Economy.
When wind-abandoning phenomenon occurs, wind power output is big, and when power load is relatively small, electric energy storage device is charged, electricity Boiler increases electric power, and unnecessary heat is stored in into heat-accumulator tank；When wind power output is small, and power load is big, electric energy storage dress Release electric energy is put, electric boiler reduces power consumption, utilizes heat-accumulator tank heat supply.Fig. 6 be system when mode 3 time is run, regenerative apparatus Quantity of heat storage changes.The wind period is being abandoned, to ensure wind-powered electricity generation online space, cogeneration units reduce generated output, and electric boiler improves Electric power, two ways can add up to the effect of wind electricity digestion, meanwhile, heat-accumulator tank further dissolves wind by heat accumulation Electricity；Without abandoning the wind period, working method is just the opposite, and cogeneration units are main power supply unit, electric boiler reduction electric work Rate, heat-accumulator tank heat release is to meet thermal load demands.
Fig. 7 is electric energy storage power curve.Understood through analysis 0：00-8：00、13:00-17:00 and 22:00-23:When 00 Section, power consumption is relatively low in system, and electric energy storage device fills energy, can be equivalent to load electricity consumption.9:00-12：00 and 18:00-21:00 Power consumption is higher in system, and electric energy storage device discharges electric energy, can be equivalent to power supply.Energy storage device carries out energy suitably flat Move, effectively reduce load peak-valley difference and participate in the integrated scheduling of system.
This patent is relative to the Conventional thermoelectric coproduction method of operation, the mode of wind-powered electricity generation-electric energy storage-heat accumulating type unified boiler operation It can dissolve and more abandon wind power.Which greatly improves regulating power and the flexibility of system, can pass through two kinds of ways of electric heating Footpath is controlled to system, and adjustment space is bigger, can be effectively improved wind energy utilization and be reduced operating cost.Add electric energy storage After device, the situation that power load peak valley differs greatly has obtained obvious improvement, and system self-energy is optimal configuration, favorably In safe operation of power system.
The financial cost of table 1 and the contrast of wind electricity digestion rate
。

Claims (2)

  1. A kind of 1. association system energy optimizing method for considering wind electricity digestion, it is characterised in that：
    （1）Establish comprising the total of conventional fired power generating unit, cogeneration units, Wind turbines, electric energy storage and heat storage electric boiler Body system architecture；
    （2）The cogeneration system for configuring electric energy storage and heat storage electric boiler constrains to decouple traditional " electricity determining by heat ", thermoelectricity Association system comprehensive modeling；
    （3）Establish Optimum Economic object function；
    （4）Establish the operation constraint of the electric power and heating power energy balance relations and each unit during system operation is coordinated in cogeneration of heat and power Condition；
    （5）Optimized for each unit active power output.
  2. 2. the association system energy optimizing method of the consideration wind electricity digestion described in claim 1, it is characterised in that：
    （1）Electric energy storage list is being added based on cogeneration units containing heat accumulation and abandoning in wind consumption coordinative dispatching model for electric boiler Member；
    （2）CHP system comprehensive modeling：
    （2-1）Establish Type of Mathematical Model of Thermal Power Plant：Using the fuel cost that the quadric form of generated output represents as：
    （1）
    In formula,C GFor the fuel cost of fired power generating unit；T For scheduling slot sum；NFor the quantity of fired power generating unit；a i 、b i Withc i For Fired power generating unitiCoal consumption coefficient；
    Make corresponding start according to load condition at different moments is with shutdown action and caused switching cost：
    （2）
    In formula,C STFor the start-up and shut-down costs of fired power generating unit；u i,t For uniti tThe running status at moment,u i,t For 1 when represent unit Operation,u i,t For 0 when represent compressor emergency shutdown；S i For conventional power unitiStart-up cost once；
    （2-2）Establish steam-extracting type cogeneration units mathematical modeling, heating powerH CHP,i,t 、Generated outputP CHP,i,t , the two is rolled over Electrical power under the pure condensate operating mode being counted as, obtains the fuel cost of steam-extracting type cogeneration units：
    （3）
    In formula,A i 、B i 、C i 、D i 、E i WithF i For the coal consumption coefficient of cogeneration units, bya i 、b i 、c i WithC V It is calculated；MTo take out The quantity of vapour formula unit；
    （2-3）Establish electric energy-storage system mathematical modeling：
    （4）
    In formula,E EES,t For the periodtElectric stored energy capacitance；τFor electric energy storage self-discharge rate；P EES_ch,t 、P EES_dis,t Withγ EES_ch、 γ EES_disRespectively batteries existt The charge-discharge electric power and efficiency of period；
    （2-4）Heat storage electric boiler mathematical modeling is established, its electric boiler output model is as follows：
    （5）
    In formula,P EBWithH EBThe respectively period t Interior electric boiler electricity consumption and heats power；η ah For electric boiler electric conversion efficiency；
    Regenerative capacity mathematical modeling is：
    (6)
    In formula,S HS,t For the period t Regenerative capacity； μFor radiation loss rate；H HS_in,t 、 H HS_out,t Withλ HS-in,t 、λ HS_out,t Point Wei not the period t Interior suction heat release power and efficiency；
    （3）Establish Optimum Economic object function：
    Overall goal function is as follows：
    （7）
    （8）
    （9）
    （10）
    （11）
    （12）
    In formula, MINFFor system operation minimum cost；C FU、C ST、C OM、C ET、C CURTWithC HEThe respectively periodt Interior fuel into Sheet, start-up and shut-down costs, maintenance cost, Environmental costs, abandon eolian and sell hot income；P i,t For uniti tThe output at moment；n For Unit sum in systemK om,i For unitiOrganizational maintenance cost；V ej For j The environmental value of item pollutant；V j Forj Item pollutant is suffered to impose a fine；Q ij ForiThe of individual unit of cells electricityj Item pollutant discharge amount；mFor the kind of pollutant Class；P FORECAST,i,t For Wind turbinesi tThe prediction generated output at moment；P W,i,t For Wind turbinesi tThe actual power at moment Power；RFor the quantity of Wind turbines；εFor penalty factor；C heTo sell hot unit price；H HEFor thermic load in net；
    （4）Establish the operation constraint of the electric power and heating power energy balance relations and each unit during system operation is coordinated in cogeneration of heat and power Condition：
    （4-1）Meet that energy balance constrains：
    （4-1-1）Electrical power balances：
    （13）
    （4-1-2）Heating power balance：
    （14）
    （4-2）Meet that conventional power unit constrains：
    （4-2-1）Unit output constrains：
    （15）
    In formula：P G,i,minFor conventional fired power generating unit i t minimum generated output；P G,i,maxFor conventional fired power generating uniti tWhen The maximum power generation at quarter；
    （4-2-2）Unit ramp loss：
    （16）
    In formula：R G,i,downWithR G,i,upRespectivelyiPlatform unit existstMoment climbing rate up and down；
    Unit Commitment Constraint：
    （17）
    In formula,M i For unit within dispatching cycle maximum allowable start-stop time；
    （4-3）Meet electric energy storage constraint：Stored energy capacitance remains unchanged all the time in whole cycle, i.e.,：
    （18）
    In formula,E EES,TWithE EES,0The respectively termination capacity and initial capacity of battery, meanwhile, battery in use by The capacity and charge-discharge electric power restricting relation arrived is as follows：
    （19）
    （20）
    In formula,E EES,minWithE EES,maxMinimum and maximum capacity respectively under battery stable operation；E EES,nomFor battery Rated capacity, in synchronization, battery is only capable of operating under charge or discharge one of which pattern, therefore has：
    （21）
    （4-4）Meet that heat storage electric boiler constrains：
    （4-4-1）Electric boiler operation is constrained to：
    （22）
    Heat-storing device operation is constrained to：
    （23）
    In formula,S HS,TAnd SHS,0The respectively termination capacity and initial capacity of heat-storing device；S HS,minWithS HS,maxRespectively stable fortune Minimum and maximum capacity under the conditions of row；S HS,nomFor the rated capacity of battery；
    （5）Consider environmental goals and wind electricity digestion targeted transformation are financial cost, particle swarm optimization algorithm initial value be with Machine population, assess each particle and obtain initial global optimum position, in an iterative process, particle is by tracking individual extreme value and complete Office's extreme value constantly updates speed and the position of oneself, particle quality is evaluated by fitness function, to new position and history Optimal location is updated, and compares iteration repeatedly so as to obtain optimal solution.
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