CN110135613A - It is a kind of based on receive assorted negotiation more virtual plants collaboration optimization operating scheme - Google Patents
It is a kind of based on receive assorted negotiation more virtual plants collaboration optimization operating scheme Download PDFInfo
- Publication number
- CN110135613A CN110135613A CN201811235364.2A CN201811235364A CN110135613A CN 110135613 A CN110135613 A CN 110135613A CN 201811235364 A CN201811235364 A CN 201811235364A CN 110135613 A CN110135613 A CN 110135613A
- Authority
- CN
- China
- Prior art keywords
- virtual
- virtual plant
- community
- energy
- plant
- 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.)
- Granted
Links
- 238000005457 optimization Methods 0.000 title claims abstract description 44
- 230000003993 interaction Effects 0.000 claims abstract description 33
- 238000000034 method Methods 0.000 claims abstract description 26
- 230000005611 electricity Effects 0.000 claims description 35
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 26
- 238000004146 energy storage Methods 0.000 claims description 20
- 239000007789 gas Substances 0.000 claims description 18
- 230000006870 function Effects 0.000 claims description 14
- 239000003345 natural gas Substances 0.000 claims description 13
- 230000003190 augmentative effect Effects 0.000 claims description 6
- 238000012804 iterative process Methods 0.000 claims description 6
- 230000008878 coupling Effects 0.000 claims description 4
- 238000010168 coupling process Methods 0.000 claims description 4
- 238000005859 coupling reaction Methods 0.000 claims description 4
- 238000000926 separation method Methods 0.000 claims description 3
- 239000000567 combustion gas Substances 0.000 claims 1
- 230000007246 mechanism Effects 0.000 abstract description 5
- 230000001737 promoting effect Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 8
- 230000008901 benefit Effects 0.000 description 7
- 238000011160 research Methods 0.000 description 7
- 238000009826 distribution Methods 0.000 description 6
- 230000002452 interceptive effect Effects 0.000 description 5
- 230000004044 response Effects 0.000 description 5
- 230000005619 thermoelectricity Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 240000002853 Nelumbo nucifera Species 0.000 description 3
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 3
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 3
- 238000013459 approach Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000002860 competitive effect Effects 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000013486 operation strategy Methods 0.000 description 2
- 241000196324 Embryophyta Species 0.000 description 1
- 244000131316 Panax pseudoginseng Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006116 polymerization reaction Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 239000011800 void material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses it is a kind of based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, it is related to the collaboration optimization operation field of more virtual plants, including multiple virtual plants, the multiple virtual plant constitutes a comprehensive energy cooperation community, and the coordination interaction between the multiple virtual plant is configured to based on receiving the interaction model of assorted negotiation:Subject to: virtual plant i internal constraint,(6):(9)variables:The present invention further considers more virtual plant synthetic operation models under comprehensive energy background, improves the sophistication and advance of model on the basis of more virtual plant cooperation operations;Assorted mechanisms for negotiation and alternating direction multipliers method are received in introducing, on the basis of promoting different virtual plant cooperations interaction, guarantee the decision-making independence and information privacy of each virtual plant.
Description
Technical field
The present invention relates to the collaboration of more virtual plants optimization operation fields more particularly to a kind of based on receiving the mostly empty of assorted negotiation
Quasi- power plant's collaboration optimization operating scheme.
Background technique
With the popularization of the theories such as integrated energy system, energy internet, energy industry is towards safe and efficient, sustainable
Multipotency comprehensive energy utilize mode continue to develop.The step benefit that cogeneration system based on distributed energy passes through energy
With, realize the multi-functional targets such as more high energy source utilization rate, more lower energy cost and more preferable environment-friendly type, also become future source of energy
The important directions and form of system (referring to document 1: Zeng Ming, Wu Geng, Li Ran, wait integration requirement side response in energy internet
Critical issue and prospect [J] electric power network technique, 2016,40 (11): 3391-3398.ZENG Ming, WU Geng, LI Ran, et
al.Key problems and prospects of integrated demand response in energy
internet[J].Power System Technology,2016,40(11):3391-3398.).Since different type is distributed
The dispersion of formula geography of energy position, lacks coordinate to each other, inevitably there is resource distribution is unreasonable, system overall security is not strong etc.
Problem.Advanced communication, metering, control technology are relied on, virtual plant technology is (referring to document 2: Zhou Yizhou, Sun Guoqiang, Huang Wen
Into waiting multizone virtual plant comprehensive energy coordinated scheduling Optimized model [J] Proceedings of the CSEE, 2017,37 (23):
6780-6790+7069.ZHOU Yizhou,SUN Guoqiang,HUANG Wenjin,et al.Optimized multi-
regional integrated energy coordinated scheduling of a virtual power plant
[J] .Proceedings of CSEE, 2017,37 (23): 6780-6790+7069.) it also can be used for polymerizeing dividing for different zones
The cloth energy, and by the software control of higher level, realize the coordination optimization control of different zones integrated energy system, thus
Obtain higher economical and environmentally friendly benefit.Virtual plant can be closed in conjunction with the operation demand or electric power market demand of distributed generation resource
Optimisation strategy inside reason adjustment reaches environment and warp while realizing that internal coordination runs and meets electric power market demand
Help benefit it is optimal.
It is under the jurisdiction of different interests main body, different virtual plants are according to self-operating target, whole different distributions formula resource ginseng
It is run with market.In virtual plant operational decisions, not only needs reasonable integration to control therein resource, also need according to extraneous feelings
Condition considers to interact with the competition of other virtual plants or cooperation.
The research of virtual plant at present is conceived to the operation of the optimization under single virtual plant market environment mostly, and for more
The discussion of virtual plant interactive relationship is then with respect to blank.Document [4] (Fu H, Zhang X P.Market Equilibrium in
Active Distribution System withμVPPs:A Coevolutionary Approach[J].IEEE
Access, 2017,5:8194-8204.) establish double-deck non-cooperative game mould of multiple virtual plants under active electrical distribution market
Type, upper layer characterize different virtual plants as independent quotation main body and independently optimize operation, and lower layer characterizes society's effect of market clearing
Benefit maximizes.The result shows that competitive bidding/quotation strategy of virtual plant depends not only on the grid-connected level of distributed generation resource, while by
The influence of opponent (other virtual plants) quotation strategy.(Zhou Bo, Lv Lin, Gao Hongjun wait the more virtual plants of Shandong a few days ago to document [5]
Stick trading strategies study [J] electric power network technique, 2018,42 (08): 2694-2703.ZHOU Bo, LV Lin, GAO Hongjun,
et al.Robust day-ahead trading strategy for multi-virtual power plant[J]
.Power System Technology, 2018,42 (08): 2694-2703.) also construct more virtual plant non-cooperative games
Model, each virtual plant main body fully consider that the strategy of remaining competitor influences to pursue itself maximizing the benefits.It is noticeable
It is that the interactive relationship of virtual plant is non-coopetition relationship in the studies above, each virtual plant independent operating pursues itself
Maximizing the benefits, and fail to consider the cooperation complementary relationship between different virtual plants.In view of different virtual plant inside sources lotuses
Difference, under synchronization, certain virtual plants are there may be dump power, and certain virtual plants are there may be electricity shortage,
Document [6] (Wang Y, Ai X, Tan Z, et al.Interactive Dispatch Modes and Bidding
Strategy of Multiple Virtual Power Plants Based on Demand Response and Game
Theory [J] IEEE Transactions on Smart Grid, 2016,7 (1): 510-519.) construct more virtual electricity
The collaboration interactive model of factory, to make full use of the complementary dif-ference characteristic between different virtual plants.However, in document [6] not
It is controlled by the same coordinated control center with virtual plant, this is actually equivalent to a bigger virtual plant, and has ignored
The independence of different virtual plant decision-makers.(Liu Siyuan, Ai Qian, Zheng Jianping wait the mostly virtual of Multiple Time Scales to document [7]
Power plant's bilayer coordination system and operation reserve [J] Proceedings of the CSEE, 2018,38 (03): 753-761.LIU
Siyuan, AI Qian,ZHENG Jianping,et al.Bilevel coordination mechanism and
operation strategy of multi-time scale multiple virtual power plants[J]
.Proceedings of CESS, 2018,38 (03): 753-761.) also consider different virtual plant cooperation direct dealings
May, and the collaboration of virtual plant interaction is configured to Cooperative reference.Although being noted that profit distribution in cooperative game
The foundation of mechanism ensure that the independence of different virtual plant incomes, however still relied on during cooperative scheduling one it is common
Regulation center.Document [8] (Liu Jichun, Tang Hu, Xiang Yue, the multistage marketing side for waiting to consider that multiple virtual power plants participate in
Method [J] power construction, 2017,38 (03): 137-144.LIU Jichun, TANG Hu, XIANG Yue, et al.Multi-
stage market transaction method with participation of virtual power plants
[J] .Electric Power Construction, 2017,38 (03): 137-144.) it also considers and carries out between more virtual plants
The case where complementation power supply: virtual plant is on the basis of meeting internal supply and demand, between different virtual plants altogether by surplus electricity
It enjoys.Sequential negotiation relationship is presented between buyer's virtual plant and seller's virtual plant.Angle of the above-mentioned document from competition or cooperation
The interaction situation between more virtual plants is discussed respectively, however is pointed out that the studies above mainly around electricity interaction
Form optimizes, and is not yet related to the electro thermal coupling situation under comprehensive energy background.Cogeneration units are as virtual plant
One of Common members occupy very big specific gravity in energy internet development, certainly will also will affect the energy class of virtual plant from now on
Type.At the same time, the above-mentioned research about virtual plant cooperative cooperating has ignored the independence of the decision in virtual plant cooperative process
Property and information privacy.It is controlled by an operation control centre, the cooperation of more virtual plants different from the operation of single virtual power plant
Interaction is related to the coordination optimization of multiplicity of interests main body Yu multiple control centres.Since different virtual plants are under the jurisdiction of different operation masters
Body, the cooperation operation between more virtual plants must assure that the otherness for participating in interest subject demand.At the same time, with information
The development of administrative skill, participant require to step up to information privacy, and the cooperation operation between more virtual plants should also be as far as possible
Guarantee the information privacy in each virtual plant cooperative process.Therefore, on the basis of encouraging more virtual plant cooperations interaction, such as
What guarantees that the independence of the decision-maker of each virtual plant and information privacy are of great significance.
Relevant other bibliography further include:
Document 9:Liu N, He L, Yu X, et al.Multi-party energy management for grid-
connected microgrids with heat and electricity coupled demand response[J]
.IEEE Transactions on Industrial Informatics,2018,14(5):1887-1897.
Document 10:S.Boyd, N.Parikh, E.Chu, B.Peleato, and J.Eckstein.Distributed
optimization and statistical learning via the alternating direction method of
multipliers [J].Foundations and Trends in Machine Learning,2011,3(1):1-122.
Document 11: Wang Cheng, Liu Nian dispatch [J] based on the interconnection micro-grid system distributed optimization of alternating direction multipliers method
Electric power network technique, 2016,40 (09): 2675-2681.
Document 12: Wanghao, Ai Qian, Wu Junhong wait micro-capacitance sensor group bilayer distributed scheduling of the based on alternating direction multipliers method
Method [J] electric power network technique, 2018,42 (06): 1718-1727.
The prior art has the disadvantage in that
1. presently, there are research approach be conceived to the case where single virtual plant is with external power marketing more, and it is right
The competition of more virtual plants or cooperative relationship research are insufficient under competitive polyphilicity environment.
2. being mostly to compete non-cooperative relationship (to consider opponent between virtual plant in current more virtual plant research approaches
In the case where strategy, virtual plant is directly traded with exterior market), and to the considerations of cooperating phase of trading between different virtual plants
To deficiency.
3. generally assuming that the virtual plant of all cooperations is controlled by the research about more virtual plant cooperative cooperatings at present
The same regulation center not can guarantee the decision-making independence and information privacy of virtual plant.
4. surround single electric energy scheduling transaction about the research of more virtual plants at present more, and under comprehensive energy background
Virtual plant thermoelectricity coordinated scheduling is opposite to consider deficiency.
Therefore, those skilled in the art is dedicated to developing a kind of new more virtual plants collaboration optimization operating scheme, solution
Certainly problems of the prior art.
Summary of the invention
In view of the above drawbacks of the prior art, the technical problems to be solved by the present invention are:
1. the more virtual plants constructed under integrated energy system background coordinate and optimize problem, flexible poly- based on virtual plant
Characteristic is closed, the distributed energy that traditional simple power generation type distributed generation resource polymerization is extended under comprehensive energy background is polymerize;
2. it is uncertain in virtual plant operation to consider that the source lotus otherness complementation between different virtual plants can effectively reduce
Influence and improve virtual plant operation income, the interactive relationship in this programme between more virtual plants is cooperation type relationship;
3. to guarantee decision-making independence and information privacy during more virtual plant interactions, assorted negotiation is received in introducing
Mechanism and alternating direction multipliers method promote the energy between different virtual plants on the basis of guaranteeing each virtual plant autonomous operation
Amount exchange is traded with cooperation.
To achieve the above object, the present invention provides it is a kind of based on receive assorted negotiation more virtual plants collaboration optimization operation side
Case is more virtual plants collaboration Optimal Operation Strategies under a kind of comprehensive energy background, is promoting energy between different virtual plants
Amount interaction guarantees the decision-making independence and information privacy of each virtual plant operation, including multiple on the basis of cooperation transaction
Virtual plant, the multiple virtual plant constitute a comprehensive energy cooperation community, the coordination between the multiple virtual plant
Interaction is configured to based on receiving the interaction model of assorted negotiation, the objective function of the interaction model are as follows:
In formula: N is the quantity of virtual plant;It is virtual plant i in the independently operated cost of non-cooperation, is known defeated
Enter parameter, independently calculated by virtual plant i, and does not include the operation transaction cost with other virtual plants For void
Quasi- power plant i and power grid transaction cost,For the slave major network purchase of electricity of t period virtual plant i and to major network electricity sales amount,
Not with scene changes, It is then corresponding unit power purchase expense and sale of electricity expense;For virtual plant i purchase gas at
This,Gas price lattice are sold for natural gas companies,Thermoelectricity joins in virtual plant i under respectively t period scene s
Produce the natural gas consumption of unit and gas fired-boiler;User utility functionIt is made of two parts, i.e. the electricity consumption effectiveness of userSubtract the non-comfort cost of userIt is used for virtual plant i under t period scene s
The electricity consumption and abandoning heat at family, ki、aiFor corresponding preference coefficient;Thermoelectricity joins in corresponding sub-region
Produce the unit operating cost of unit, gas fired-boiler, electric energy storage and hot energy storage device;It is empty under t period scene s
Quasi- purchase of electricity and electricity sales amount of the power plant i from other virtual plants,It is purchased for the transaction of corresponding community, sale of electricity valence, For purchase heat of the t period virtual plant i from other virtual plants and heat is sold,It is corresponding
Thermal energy transaction value;
Transaction cost and trading volume between the multiple virtual plant are presented in comprehensive energy cooperation community
Community's equilibrium state: i.e. any timeUnder, it is virtual that community's transaction energy of all buyer's virtual plants is equal to all sellers
Community's transaction energy of power plant;And community's transaction cost of all buyer's virtual plants is equal to the community of all seller's virtual plants
Transaction income, as shown in formula (2)~(5):
Community's transaction electric energyCommunity transaction electric energy, which is positive, indicates virtual plant i from described comprehensive
It closes cooperation in the field of energy community and buys electric energy, community's transaction electric energy is negative, and indicates virtual plant i to the comprehensive energy cooperation
Sell electric energy in community;Community's transaction thermal energyCommunity transaction thermal energy be positive indicate virtual plant i from
Comprehensive energy cooperation community buys thermal energy, and community's transaction thermal energy is negative, and indicates virtual plant i to the comprehensive energy
Cooperate community and sell thermal energy in source;Formula (2) and (3) can convert are as follows:
Community's power trade cost of virtual plant iVirtual plant i
Community's thermal energy transaction costFormula (4) and (5) can convert are as follows:
The interaction model are as follows:
Subjectto: virtual plant i internal constraint,
(6):(9)
Further, the virtual plant keeps decision-making independence and information privacy.
Further, alternating direction multipliers method is taken in the solution of the interaction model;
It is assumed that the general type of criteria optimization problem is as follows:
In formula: x is local variable, and z is global variable, corresponding Augmented Lagrangian Functions are as follows:
In formula: λ is Lagrange multiplier, and ρ is penalty factor;
The iterative process of the alternating direction multipliers method is expressed as follows:
λ[k+1]:=λ[k]+ρ(Ax[k+1]+Bz[k+1]-c) (15)
In the iterative process, the local variable x and the global variable z are alternately solved;Consistency constraint is introduced,
As auxiliary variable:
By community's interaction variable decoupling separation from formula (6)~(9) of each virtual plant;The interaction model
It is further converted to:
Virtual plant i internal constraint,
(6):(9)
Minimum form is converted by the objective function, it may be assumed that
Virtual plant i internal constraint,
(6):(9)
In formula (21), variableThe local variable of the corresponding criteria optimization problem (formula 11)
X, variableGlobal variable z in the corresponding criteria optimization problem (formula 11);
In coupling constraintUnder the conditions of, the corresponding A=of Ax+Bz=c in the criteria optimization problem (formula 11)
1, B=-1, c=0;Augmented Lagrangian Functions corresponding to formula (21) are as follows:
In formula:For Lagrange multiplier, ρ1、ρ2、ρ3、ρ4For penalty factor, difference
Corresponding consistency constraint (16)~(19);
Based on alternating direction multipliers method principle, formula (22) can be further broken into two layers of subproblem: lower layer corresponds to described each
Itself optimization problem of virtual plant;Upper layer corresponds to the cooperation layer of comprehensive energy cooperation community, for each virtual electricity
The collaboration of community's transaction variables of factory updates;
Itself optimization subproblem of each virtual plant is expressed as follows:
Subjectto: each virtual plant constraint
The subproblem of the cooperation layer is specific as follows:
Further, the virtual plant is furnished with independent Energy Management System.
Further, the virtual plant includes controllable, uncontrollable unit, energy storage, load;The controllable packet
Include cogeneration units CHP and gas fired-boiler, the uncontrollable unit includes blower and photovoltaic, the energy storage include electric energy storage and
Hot energy storage, the load include electric load and thermic load.
Further, the cooperation operation between the different virtual plants is only realized by public information transmitting.
Further, the electric load includes important electric load and transferable electric load.
Further, the thermic load includes important thermic load and cut-off thermic load.
Further, inside the virtual plant, the virtual plant is made decisions on one's own according to internal user energy demand
The operating scheme of its own distributed energy unit.
Further, extra energy can be interacted between the different virtual plants, forms cooperation community-type transaction, reduces
Individually from Utilities Electric Co. or the purchase volume of natural gas companies, reduce the uncertain of renewable energy influences virtual plant, reduces
The operating cost of the entire comprehensive energy cooperation community.
It is provided by the invention a kind of to obtain following technology based on receiving more virtual plants collaboration optimization operating scheme of assorted negotiation
Effect:
1, on the basis of more virtual plant cooperation operations, further consider more virtual plants association under comprehensive energy background
Same moving model improves the sophistication and advance of model;
2, it introduces and receives assorted mechanisms for negotiation and alternating direction multipliers method, on the basis for promoting different virtual plant cooperations interactions
On, guarantee the decision-making independence and information privacy of each virtual plant.
It is described further below with reference to technical effect of the attached drawing to design of the invention, specific structure and generation, with
It is fully understood from the purpose of the present invention, feature and effect.
Detailed description of the invention
Fig. 1 is the general frame schematic diagram that multiple virtual plants are constituted.
Specific embodiment
Multiple preferred embodiments of the invention are introduced below with reference to Figure of description, keep its technology contents more clear and just
In understanding.The present invention can be emerged from by many various forms of embodiments, and protection scope of the present invention not only limits
The embodiment that Yu Wenzhong is mentioned.
In the accompanying drawings, the identical component of structure is indicated with same numbers label, everywhere the similar component of structure or function with
Like numeral label indicates.The size and thickness of each component shown in the drawings are to be arbitrarily shown, and there is no limit by the present invention
The size and thickness of each component.Apparent in order to make to illustrate, some places suitably exaggerate the thickness of component in attached drawing.
As shown in Figure 1, a kind of based on receiving more virtual plants collaboration optimization operating scheme of assorted negotiation, including multiple virtual electricity
Factory, from VPP 1, VPP 2 ..., until VPP N.By the cooperative alliances of multiple virtual plants it is stereoscopic be that a virtual energy closes
Make community.Each virtual plant is provided with independent Energy Management System uEMS, can carry out virtual plant internal power source conversion facility
Optimizing scheduling, the cooperation between other virtual plants in community interacts, and the energy with external power company, natural gas companies
Measure purchase decision.It include controllable (cogeneration units CHP and gas fired-boiler), uncontrollable unit in each virtual plant
(blower and photovoltaic), energy storage (electric energy storage and hot energy storage), load (electric load and thermic load).In view of the Demand Side Response of user
It participates in, electric load is divided into important electric load and transferable electric load again;And thermic load includes that important thermic load and cut-off heat are negative
Lotus.
Different from centralized scheduling mode, each virtual plant enjoys the power of making decisions on one's own under the structure, only passes through public letter
The cooperation operation between different virtual plants is realized in breath transmitting.Inside virtual plant, virtual plant operator is according to internal user
With energy demand, the operating scheme for its own distributed energy unit of making decisions on one's own;It is extra to interact between different virtual plants
Energy forms cooperation community-type transaction, reduces it individually from Utilities Electric Co. or the purchase volume of natural gas companies, reduces renewable energy
The uncertain of source influences, and reduces the operating cost of entire comprehensive energy cooperation community, promotes entire virtual comprehensive energy community
Operating cost it is minimum.
There are information flow, heating power energy stream, electrical energy stream and natural gas energy streams in Fig. 1.Information flow is each virtual
Two-way flow between power plant, Utilities Electric Co. and natural gas companies.Heating power energy stream is in each virtual plant internal flow, thermoelectricity connection
It produces thermal energy a part that unit CHP is generated and enters hot energy storage, the thermal energy that a part is generated with gas fired-boiler merges unidirectionally
Flow to thermic load.The thermal energy that gas fired-boiler generates does not need to carry out hot energy storage.There are three sources in the source of electrical energy, respectively
Renewable energy, Utilities Electric Co. and cogeneration units CHP.Electrical energy stream a part caused by renewable energy enters electricity
Energy storage, the electric energy that a part is generated with Utilities Electric Co. and cogeneration units CHP merge single flow direction electric load.Naturally
Gas energy stream flows to the cogeneration units CHP and gas fired-boiler of each virtual plant from natural gas companies.
Due to needing to negotiate between each virtual plant to distribution of income obtained after cooperation, cooperative game is constituted
Under bargaining relationship.It is assumed that each virtual plant is in non-cooperation independent operating costNegative value as negotiation starting point,
I.e.And under cooperation, the cooperation operation cost of each virtual plant is Ci, corresponding operation utility level is ui
=-Ci.During cooperation talks, each virtual plant operator, which is intended to maximize as far as possible, cooperates brought benefit growth,
Therefore the coordination interaction between more virtual plants is configured to based on the interaction model of assorted negotiation is received, and objective function constructs such as
Under:
In formula: N is the quantity of virtual plant;It is virtual plant i in the independently operated cost of non-cooperation, is known defeated
Enter parameter, independently calculated by virtual plant i, and does not include the operation transaction cost with other virtual plants It is virtual
Power plant i and power grid transaction cost,For the slave major network purchase of electricity of t period virtual plant i and to major network electricity sales amount, no
With scene changes,It is then corresponding unit power purchase expense and sale of electricity expense;For the purchase gas cost of virtual plant i,Gas price lattice are sold for natural gas companies,Cogeneration of heat and power machine in virtual plant i under respectively t period scene s
The natural gas consumption of group and gas fired-boiler;User utility functionIt is made of two parts, i.e. the electricity consumption effectiveness of userSubtract the non-comfort cost of userIt is used for virtual plant i under t period scene s
The electricity consumption and abandoning heat at family, ki、aiFor corresponding preference coefficient;Thermoelectricity joins in corresponding sub-region
Produce the unit operating cost of unit, gas fired-boiler, electric energy storage and hot energy storage device;It is empty under t period scene s
Quasi- purchase of electricity and electricity sales amount of the power plant i from other virtual plants,It is purchased for the transaction of corresponding community, sale of electricity valence, For purchase heat of the t period virtual plant i from other virtual plants and heat is sold,It is corresponding
Thermal energy transaction value.
It should be noted that the non-cooperation operation cost in objective function (1)For known input parameter, by each virtual
Operator, power plant is independently calculated, and does not include the operation transaction cost with other virtual plantsAnd under interaction,
Each virtual plant operating cost includes the operation transaction cost with other virtual plants, and the size for running transaction cost will shadow
Ring the internal operation plan of each virtual plant.Make a profit individual since there is no third party, the transaction cost between virtual plant with
And community's equilibrium state: i.e. any time is presented in trading volume in the comprehensive energy cooperation communityUnder, all buyers are virtual
Community's transaction energy of power plant is equal to community's transaction energy of all seller's virtual plants;And the community of all buyer's virtual plants
The community that transaction cost is equal to all seller's virtual plants, which trades, to be taken in, specifically as shown in formula (2)~(5):
To simplify variable, by community electric energy purchase volume of each virtual plant under synchronization Same SceneWith to society
Area's electricity sales amountIt is converted into a common variable --- community's transaction electric energy, i.e.,Wherein community is handed over
Easy electric energy, which is positive, indicates that virtual plant i buys electric energy from comprehensive energy cooperation community, and community's transaction electric energy is negative and then indicates virtual
Power plant i sells electric energy to comprehensive energy cooperation community;Community's transaction thermal energyCommunity's transaction thermal energy is positive
Indicate that virtual plant i buys thermal energy from comprehensive energy cooperation community, community's transaction thermal energy is negative, and indicates virtual plant i to synthesis
Sell thermal energy in cooperation in the field of energy community;In turn, formula (2) and (3) can be further converted to:
Accordingly, each virtual plant is with corresponding power trade cost during other virtual plant transactional interactionsThe equation is reasonably, because being the equal of one in community's process of exchange
Virtual clears the market, and the purchase energy price that virtual plant is faced is generally equivalent to selling for the moment can price.Accordingly, each virtual
Community's thermal energy transaction cost of power plant isSo formula (4) and (5) can be into
The conversion of one step are as follows:
Therefore, based on receiving more virtual plant interaction models of assorted negotiation are as follows:
Subjectto: virtual plant i internal constraint,
(6):(9)
In view of the decision-making independence and information privacy of each virtual plant, this programme is quasi- to be asked using distributed optimization method
More virtual plant union & interaction problems are solved, guarantee each virtual plant making decisions on one's own during interaction.Using alternately
Direction multiplier method decomposes the collaboration Optimized model (10) of more virtual plants.
It is assumed that the general type of criteria optimization problem is as follows:
In formula: x is local variable, and z is global variable, corresponding Augmented Lagrangian Functions are as follows:
In formula: λ is Lagrange multiplier, and ρ is penalty factor;
The iterative process of alternating direction multipliers method is expressed as follows:
λ[k+1]:=λ[k]+ρ(Ax[k+1]+Bz[k+1]-c) (15)
In an iterative process, local variable x and global variable z is alternately solved;
Based on receive assorted negotiation more virtual plant union & interaction models include all multi-constraint conditions, it is noted that in single virtual
Portion's constraint separates in each virtual plant, and formula (6)~(9) then couple community's transaction variables between different virtual plants
To together.
Consistency constraint is introduced, as auxiliary variable:
By community's interaction variable decoupling separation from formula (6)~(9) of each virtual plant;
So model (10) can be further converted to:
Virtual plant i internal constraint,
(6):(9)
Minimum form is converted by objective function, it may be assumed that
Virtual plant i internal constraint,
(6):(9)
In formula (21), variableThe local variable x of corresponding criteria optimization problem (formula 11) becomes
AmountGlobal variable z in corresponding criteria optimization problem (formula 11);
In coupling constraintUnder the conditions of, the corresponding A=1 of Ax+Bz=c, B in criteria optimization problem (formula 11)
=-1, c=0;Augmented Lagrangian Functions corresponding to formula (21) are as follows:
In formula:For Lagrange multiplier, ρ1、ρ2、ρ3、ρ4For penalty factor, difference
Corresponding consistency constraint (16)~(19);
Based on alternating direction Multiplier Algorithm principle, model (22) can be further broken into two layers of subproblem: lower layer is corresponding each
Itself optimization problem of virtual plant operator;Upper layer corresponds to community's cooperation layer for the community transaction variables of each virtual plant
Collaboration updates.It can be regarded as a virtual coordination problem at the middle and upper levels, only virtually coordinates quotient and does not control virtual plant
Internal any energy facilities, and realize that multiple virtual plants close merely by the public variable for transmitting each virtual plant is updated
It is optimal to make the convergence interacted.
Itself optimization subproblem of each virtual plant is expressed as follows:
Subjectto: each virtual plant constraint
The subproblem of cooperation layer is specific as follows:
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that the ordinary skill of this field is without wound
The property made labour, which according to the present invention can conceive, makes many modifications and variations.Therefore, all technician in the art
Pass through the available technology of logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Scheme, all should be within the scope of protection determined by the claims.
Claims (10)
1. it is a kind of based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that including multiple virtual electricity
Factory, the multiple virtual plant constitute a comprehensive energy cooperation community, the coordination interaction structure between the multiple virtual plant
It builds as based on receiving the interaction model of assorted negotiation, the objective function of the interaction model are as follows:
In formula: N is the quantity of virtual plant;It is virtual plant i in the independently operated cost of non-cooperation, joins for known input
Amount, is independently calculated, and do not include the operation transaction cost with other virtual plants by virtual plant i For virtual plant
I and power grid transaction cost,For the slave major network purchase of electricity of t period virtual plant i and to major network electricity sales amount, not with field
Scape variation,It is then corresponding unit power purchase expense and sale of electricity expense;For the purchase gas cost of virtual plant i,
Gas price lattice are sold for natural gas companies,Under respectively t period scene s in virtual plant i cogeneration units and
The natural gas consumption of gas fired-boiler;User utility functionIt is made of two parts, i.e. the electricity consumption effectiveness of user
Subtract the non-comfort cost of userFor the electricity consumption of virtual plant i user under t period scene s
With abandoning heat, ki、aiFor corresponding preference coefficient;Cogeneration units, combustion gas in corresponding sub-region
The unit operating cost of boiler, electric energy storage and hot energy storage device;For virtual plant i under t period scene s from its
Purchase of electricity and electricity sales amount at his virtual plant,It is purchased for the transaction of corresponding community, sale of electricity valence, For t
Purchase heat of the period virtual plant i from other virtual plants and heat is sold,For corresponding thermal energy transaction value;
Community is presented in comprehensive energy cooperation community in transaction cost and trading volume between the multiple virtual plant
Equilibrium state: i.e. any timeUnder, community's transaction energy of all buyer's virtual plants is equal to all seller's virtual plants
Community trade energy;And community's transaction cost of all buyer's virtual plants is equal to community's transaction of all seller's virtual plants
Income, as shown in formula (2)~(5):
Community's transaction electric energyCommunity's transaction electric energy, which is positive, indicates virtual plant i from the comprehensive energy
Source cooperates community and buys electric energy, and community's transaction electric energy is negative, and indicates virtual plant i to comprehensive energy cooperation community
Sell electric energy;Community's transaction thermal energyCommunity transaction thermal energy, which is positive, indicates virtual plant i from described
Comprehensive energy cooperation community buys thermal energy, and community's transaction thermal energy is negative, and indicates that virtual plant i is closed to the comprehensive energy
Make community and sells thermal energy;Formula (2) and (3) can convert are as follows:
Community's power trade cost of virtual plant iThe community of virtual plant i
Thermal energy transaction costFormula (4) and (5) can convert are as follows:
The interaction model are as follows:
2. as described in claim 1 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that institute
It states virtual plant and keeps decision-making independence and information privacy.
3. as described in claim 1 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that institute
Alternating direction multipliers method is taken in the solution for stating interaction model;
It is assumed that the general type of criteria optimization problem is as follows:
In formula: x is local variable, and z is global variable, corresponding Augmented Lagrangian Functions are as follows:
In formula: λ is Lagrange multiplier, and ρ is penalty factor;
The iterative process of the alternating direction multipliers method is expressed as follows:
λ[k+1]:=λ[k]+ρ(Ax[k+1]+Bz[k+1]-c) (15)
In the iterative process, the local variable x and the global variable z are alternately solved;
Consistency constraint is introduced, as auxiliary variable:
By community's interaction variable decoupling separation from formula (6)~(9) of each virtual plant;
The interaction model is further converted to:
Subject to:
Virtual plant i internal constraint,
(6):(9)
variables:
Minimum form is converted by the objective function, it may be assumed that
Subjectto:
Virtual plant i internal constraint,
(6):(9)
variables:
In formula (21), variableThe local variable x of the corresponding criteria optimization problem (formula 11), becomes
AmountGlobal variable z in the corresponding criteria optimization problem (formula 11);
In coupling constraintUnder the conditions of, Ax+Bz=c corresponding A=1, B=- in the criteria optimization problem (formula 11)
1, c=0;Augmented Lagrangian Functions corresponding to formula (21) are as follows:
In formula:For Lagrange multiplier, ρ1、ρ2、ρ3、ρ4For penalty factor, institute is respectively corresponded
State consistency constraint (16)~(19);
Based on alternating direction multipliers method principle, formula (22) can be further broken into two layers of subproblem: lower layer corresponds to described each virtual
Itself optimization problem of power plant;Upper layer corresponds to the cooperation layer of comprehensive energy cooperation community, for each virtual plant
The collaboration of community's transaction variables updates;
Itself optimization subproblem of each virtual plant is expressed as follows:
Subject to: each virtual plant constraint
variables:
The subproblem of the cooperation layer is specific as follows:
4. as described in claim 1 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that institute
Virtual plant is stated equipped with independent Energy Management System.
5. as described in claim 1 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that institute
Stating virtual plant includes controllable, uncontrollable unit, energy storage, load;The controllable include cogeneration units CHP and
Gas fired-boiler, the uncontrollable unit include blower and photovoltaic, and the energy storage includes electric energy storage and hot energy storage, the load include
Electric load and thermic load.
6. as claimed in claim 5 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that only
The cooperation operation between the different virtual plants is realized by public information transmitting.
7. as claimed in claim 5 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that institute
Stating electric load includes important electric load and transferable electric load.
8. as claimed in claim 5 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that institute
Stating thermic load includes important thermic load and cut-off thermic load.
9. as described in claim 1 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that
Inside the virtual plant, the virtual plant is according to internal user energy demand, its own distributed energy machine of making decisions on one's own
The operating scheme of group.
10. as described in claim 1 based on receive assorted negotiation more virtual plants collaboration optimization operating scheme, which is characterized in that
Extra energy can be interacted between the difference virtual plant, cooperation community-type transaction is formed, reduces virtual plant individually from electricity
The purchase volume of power company or natural gas companies, reducing the uncertain of renewable energy influences, and reduces the entire comprehensive energy
Cooperate the operating cost of community.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811235364.2A CN110135613B (en) | 2018-10-23 | 2018-10-23 | Multi-virtual power plant collaborative optimization operation scheme based on Nash negotiation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811235364.2A CN110135613B (en) | 2018-10-23 | 2018-10-23 | Multi-virtual power plant collaborative optimization operation scheme based on Nash negotiation |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110135613A true CN110135613A (en) | 2019-08-16 |
CN110135613B CN110135613B (en) | 2023-01-03 |
Family
ID=67568436
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811235364.2A Active CN110135613B (en) | 2018-10-23 | 2018-10-23 | Multi-virtual power plant collaborative optimization operation scheme based on Nash negotiation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110135613B (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111382939A (en) * | 2020-03-06 | 2020-07-07 | 国网冀北电力有限公司 | Virtual power plant resource optimal configuration method, device and equipment |
CN111474900A (en) * | 2019-11-21 | 2020-07-31 | 国网四川省电力公司经济技术研究院 | Regional comprehensive energy system operation method and system based on virtual power plant |
CN112001752A (en) * | 2020-08-18 | 2020-11-27 | 四川大学 | Multi-virtual power plant dynamic game transaction behavior analysis method based on limited rationality |
CN112232603A (en) * | 2020-12-08 | 2021-01-15 | 华东交通大学 | Virtual power plant optimal scheduling method considering electricity-to-gas coordination |
CN112529276A (en) * | 2020-12-01 | 2021-03-19 | 国网湖北省电力有限公司电力科学研究院 | Interconnected micro-grid layered distributed optimization scheduling method |
CN114936672A (en) * | 2022-04-14 | 2022-08-23 | 国网江苏省电力有限公司盐城供电分公司 | Multi-virtual power plant joint scheduling method based on Nash negotiation method |
CN115082235A (en) * | 2022-06-29 | 2022-09-20 | 东南大学 | Transaction method and system for multi-energy sharing in virtual energy station |
CN115207917A (en) * | 2022-08-17 | 2022-10-18 | 国网山东省电力公司青岛供电公司 | Layered-distributed multi-target tracking method and system for virtual power plant |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050137959A1 (en) * | 2003-10-24 | 2005-06-23 | Yan Joseph H. | Simultaneous optimal auctions using augmented lagrangian and surrogate optimization |
CN103903066A (en) * | 2014-04-04 | 2014-07-02 | 东南大学 | Virtual power plant stratified random optimized dispatching method |
US20170207633A1 (en) * | 2016-01-19 | 2017-07-20 | Fujitsu Limited | Aggregated and optimized virtual power plant control |
CN107292456A (en) * | 2017-08-01 | 2017-10-24 | 重庆大学 | Electrical energy flow point cloth collaboration optimized calculation method based on alternating direction multiplier method |
CN107370802A (en) * | 2017-07-10 | 2017-11-21 | 中国人民解放军国防科学技术大学 | A kind of collaboration storage dispatching method based on alternating direction multiplier method |
CN107507078A (en) * | 2017-07-12 | 2017-12-22 | 天津大学 | A kind of distributed energy distribution of income strategy based on bargaining game |
CN107506851A (en) * | 2017-07-26 | 2017-12-22 | 河海大学 | A kind of multizone virtual plant comprehensive energy coordinated scheduling Optimized model |
CN107767033A (en) * | 2017-09-28 | 2018-03-06 | 上海交通大学 | The probabilistic virtual plant of one kind consideration is bidded and distribution of interests method and system |
-
2018
- 2018-10-23 CN CN201811235364.2A patent/CN110135613B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050137959A1 (en) * | 2003-10-24 | 2005-06-23 | Yan Joseph H. | Simultaneous optimal auctions using augmented lagrangian and surrogate optimization |
CN103903066A (en) * | 2014-04-04 | 2014-07-02 | 东南大学 | Virtual power plant stratified random optimized dispatching method |
US20170207633A1 (en) * | 2016-01-19 | 2017-07-20 | Fujitsu Limited | Aggregated and optimized virtual power plant control |
CN107370802A (en) * | 2017-07-10 | 2017-11-21 | 中国人民解放军国防科学技术大学 | A kind of collaboration storage dispatching method based on alternating direction multiplier method |
CN107507078A (en) * | 2017-07-12 | 2017-12-22 | 天津大学 | A kind of distributed energy distribution of income strategy based on bargaining game |
CN107506851A (en) * | 2017-07-26 | 2017-12-22 | 河海大学 | A kind of multizone virtual plant comprehensive energy coordinated scheduling Optimized model |
CN107292456A (en) * | 2017-08-01 | 2017-10-24 | 重庆大学 | Electrical energy flow point cloth collaboration optimized calculation method based on alternating direction multiplier method |
CN107767033A (en) * | 2017-09-28 | 2018-03-06 | 上海交通大学 | The probabilistic virtual plant of one kind consideration is bidded and distribution of interests method and system |
Non-Patent Citations (4)
Title |
---|
刘思源等: "多时间尺度的多虚拟电厂双层协调机制与运行策略", 《中国电机工程学报》 * |
张高等: "基于主从博弈的含电动汽车虚拟电厂协调调度", 《电力***自动化》 * |
方燕琼等: "基于主从博弈的虚拟电厂双层竞标策略", 《电力***自动化》 * |
王皓等: "基于交替方向乘子法的微电网群双层分布式调度方法", 《电网技术》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111474900A (en) * | 2019-11-21 | 2020-07-31 | 国网四川省电力公司经济技术研究院 | Regional comprehensive energy system operation method and system based on virtual power plant |
CN111382939A (en) * | 2020-03-06 | 2020-07-07 | 国网冀北电力有限公司 | Virtual power plant resource optimal configuration method, device and equipment |
CN112001752A (en) * | 2020-08-18 | 2020-11-27 | 四川大学 | Multi-virtual power plant dynamic game transaction behavior analysis method based on limited rationality |
CN112529276A (en) * | 2020-12-01 | 2021-03-19 | 国网湖北省电力有限公司电力科学研究院 | Interconnected micro-grid layered distributed optimization scheduling method |
CN112232603A (en) * | 2020-12-08 | 2021-01-15 | 华东交通大学 | Virtual power plant optimal scheduling method considering electricity-to-gas coordination |
CN114936672A (en) * | 2022-04-14 | 2022-08-23 | 国网江苏省电力有限公司盐城供电分公司 | Multi-virtual power plant joint scheduling method based on Nash negotiation method |
CN114936672B (en) * | 2022-04-14 | 2024-07-19 | 国网江苏省电力有限公司盐城供电分公司 | Multi-virtual power plant joint scheduling method based on Nash negotiation method |
CN115082235A (en) * | 2022-06-29 | 2022-09-20 | 东南大学 | Transaction method and system for multi-energy sharing in virtual energy station |
CN115082235B (en) * | 2022-06-29 | 2024-05-03 | 东南大学 | Transaction method and system for sharing multiple functions in virtual energy station |
CN115207917A (en) * | 2022-08-17 | 2022-10-18 | 国网山东省电力公司青岛供电公司 | Layered-distributed multi-target tracking method and system for virtual power plant |
Also Published As
Publication number | Publication date |
---|---|
CN110135613B (en) | 2023-01-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110135613A (en) | It is a kind of based on receive assorted negotiation more virtual plants collaboration optimization operating scheme | |
Cheng et al. | Game-theoretic approaches applied to transactions in the open and ever-growing electricity markets from the perspective of power demand response: An overview | |
Chen et al. | Research on day-ahead transactions between multi-microgrid based on cooperative game model | |
CN112054513B (en) | Hybrid game-based multi-microgrid double-layer coordination optimization scheduling method | |
Azim et al. | Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks | |
Wu et al. | Energy trading and generalized Nash equilibrium in combined heat and power market | |
Li et al. | Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy | |
CN115115277A (en) | Garden comprehensive energy scheduling method and device, computer equipment and storage medium | |
CN112419055A (en) | Day-ahead energy scheduling platform established by market operation with participation of multiple producers and consumers | |
Song et al. | Transactive energy in power distribution systems: Paving the path towards cyber-physical-social system | |
Wu et al. | A hierarchical framework for renewable energy sources consumption promotion among microgrids through two-layer electricity prices | |
Gao et al. | Green electricity trading driven low-carbon sharing for interconnected microgrids | |
Yunshou et al. | Cooperative operation framework for a wind-solar-CCHP multi-energy system based on Nash bargaining solution | |
Mao et al. | Pricing mechanism for community prosumers in decentralized electricity market | |
Zhang et al. | Multi-level distributed demand response study for a multi-park integrated energy system | |
Fan et al. | Community market based energy trading among interconnected microgrids with adjustable power | |
Abdel-Raouf et al. | A survey of game theory applications in electrical power micro-grid systems | |
CN117811047A (en) | Electric energy optimization method of multi-microgrid comprehensive energy system containing carbon capture and electric conversion gas | |
CN116341268A (en) | Cold-hot electric coupling type microgrid group three-layer main body distributed optimization method | |
Wu et al. | Research on the bi-layer low carbon optimization strategy of integrated energy system based on Stackelberg master slave game | |
Xiong et al. | Optimal operation of integrated energy systems considering energy trading and integrated demand response | |
Zhang et al. | Review of revenue allocation method for virtual power plants | |
CN112633613B (en) | Optimization method for park-level integrated energy system cluster transaction strategy | |
Holjevac et al. | Model for defining the potential and value of multi-energy microgrid services to the low carbon power system operation | |
Sun et al. | A Distributed Optimization Strategy for Multienergy Microgrids Considering Nash Bargaining |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |