CN115526684A - Comprehensive energy system multi-main-body low-carbon economic operation method based on double-layer master-slave game - Google Patents
Comprehensive energy system multi-main-body low-carbon economic operation method based on double-layer master-slave game Download PDFInfo
- Publication number
- CN115526684A CN115526684A CN202211152829.4A CN202211152829A CN115526684A CN 115526684 A CN115526684 A CN 115526684A CN 202211152829 A CN202211152829 A CN 202211152829A CN 115526684 A CN115526684 A CN 115526684A
- Authority
- CN
- China
- Prior art keywords
- energy
- eso
- energy system
- game
- power
- 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
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 title claims abstract description 25
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims abstract description 56
- 230000008901 benefit Effects 0.000 claims abstract description 22
- 230000007246 mechanism Effects 0.000 claims abstract description 21
- 238000004146 energy storage Methods 0.000 claims abstract description 14
- 230000006870 function Effects 0.000 claims description 38
- 230000005611 electricity Effects 0.000 claims description 36
- 230000004044 response Effects 0.000 claims description 14
- 238000005338 heat storage Methods 0.000 claims description 11
- 238000003860 storage Methods 0.000 claims description 10
- 230000002776 aggregation Effects 0.000 claims description 4
- 238000004220 aggregation Methods 0.000 claims description 4
- 238000007599 discharging Methods 0.000 claims description 4
- 238000005265 energy consumption Methods 0.000 claims description 2
- 230000003993 interaction Effects 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 claims description 2
- 238000010248 power generation Methods 0.000 claims description 2
- 238000005457 optimization Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000011160 research Methods 0.000 description 5
- 230000002146 bilateral effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 229910052739 hydrogen Inorganic materials 0.000 description 2
- 239000001257 hydrogen Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000013486 operation strategy Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012946 outsourcing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000002918 waste heat Substances 0.000 description 1
Images
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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
-
- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0611—Request for offers or quotes
-
- 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)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The comprehensive energy system multi-main-body low-carbon economic operation method based on the double-layer master-slave game comprises the following steps: constructing a comprehensive energy system transaction mechanism considering the step-type carbon transaction; constructing a basic structure of a comprehensive energy system configured by an Energy System Operator (ESO) for energy storage; based on the principal and subordinate game theory, a double-layer principal and subordinate game model of a generator-energy system operator- (an energy producer and a load aggregator) is established. The method provided by the invention can fully exert the active decision-making capability of each main body, promote the benefit balance of each main body and realize the low-carbon and economic operation of the comprehensive energy system.
Description
Technical Field
The invention belongs to the technical field of economic operation of an integrated energy system, and particularly relates to a multi-main-body low-carbon economic operation method of the integrated energy system based on a double-layer master-slave game.
Background
With the increasing energy demand in China and the proposal of the strategic target of 'double carbon', economy and low carbon become the trend of future energy development. In this context, IES with multi-energy coupling, co-scheduling features has become an important form of efficient, clean energy utilization. How to further develop the potential of low-carbon economic operation of IES is a subject worthy of further research.
Through the search and discovery of the prior art documents, an IES (energy management system) decentralized dispatching model considering carbon transaction cost is constructed in the document [1] thermoelectric optimization of a comprehensive energy system considering a stepped carbon transaction mechanism and electric hydrogen production (Chen Jinpeng, hu Zhijian, chen Yingguang and the like in the consideration of the thermoelectric optimization of the comprehensive energy system considering the stepped carbon transaction mechanism and the electric hydrogen production [ J ] electric power automation equipment, 2021,41 (9): 48-54.), and an IES low-carbon economic optimization model considering the stepped carbon transaction is constructed aiming at the defects of the traditional carbon transaction mechanism, so that the economic benefit and the environmental protection benefit of the IES are effectively exerted. However, the above document [1] ignores the influence of the Demand-side elastic load on the system optimization, and does not fully exert the capability of an Integrated Demand Response (IDR) resource to participate in low-carbon and economic regulation.
In the document [2] < community integrated energy system distributed collaborative optimization operation strategy based on master-slave game' (Wang Haiyang, li Ke, zhang Chenghui, etc.. The community integrated energy system distributed collaborative optimization operation strategy based on master-slave game [ J ]. Chinese Motor engineering report, 2020,40 (17): 5435-5444.), a distributed IES optimization strategy with ESO as a leader and EP and LA as followers is constructed, and the strategy enables supply and demand side benefits to be improved simultaneously. However, the ESO only guides the supply and demand side to participate in IDR through price signals, and lacks the capability of regulating and controlling the energy supply and demand balance of the IES, and may cause imbalance of supply and demand.
Document [3] Power market multi-subject non-cooperative game competition model based on Berge-NS balance (Ma Tian male, duying, maoyang, etc.. Power market multi-subject non-cooperative game competition model based on Berge-NS balance [ J ] Power Automation equipment, 2019,39 (06): 192-204.), researches the multi-subject game competition problem under the power market reform, and realizes the profit win-win and the coordinated development of the multi-subject. In document [4] < bilateral contract transaction model of generators and big users based on master-slave game' (Wu Cheng, gaoyanguan, shang Yi, and the like. The bilateral contract transaction model of generators and big users based on master-slave game [ J ]. Power system automation, 2016,40 (22): 56-62.) a game model of a plurality of PPs and a plurality of big users is constructed based on bilateral contract transaction, and the model provides an effective basis for game participants to formulate contract electricity price.
However, the above documents only aim at the research of direct electricity purchase for the traditional large power consumers and PP, and no research of direct electricity purchase for IES including multi-energy flow and large electricity demand is related.
Disclosure of Invention
In order to solve the technical problems, the invention provides a comprehensive energy system multi-subject low-carbon economic operation method based on a double-layer master-slave game, which can fully exert the active decision-making capability of each subject, promote the benefit balance of each subject and realize the low-carbon and economic operation of an IES (integrated energy system).
The technical scheme adopted by the invention is as follows:
the comprehensive energy system multi-main-body low-carbon economic operation method based on the double-layer master-slave game comprises the following steps:
step 1: constructing a comprehensive energy system transaction mechanism considering the step-type carbon transaction;
step 2: constructing a basic structure of a comprehensive energy system configured and stored by an Energy System Operator (ESO);
and step 3: based on a master-slave game theory, a double-layer master-slave game model of a power generator, an energy system operator, an energy producer and a load aggregator is established.
In the step 1, carbon emissions in an Integrated Energy System (IES) mainly come from Energy supply equipment in an upper-level electricity and Energy Producer (EP), and a stepped carbon trading model of the EP and the ESO is constructed according to the capacity of the EP and the electricity purchasing capacity of an Energy System Operator (ESO).
The EP and ESO ladder carbon trading model is as follows:
carbon emissions in IES are mainly from power supply facilities in the EP and the premium grade purchase of electricity, where the carbon trading costs for the premium grade purchase of electricity are borne by the ESO. The invention constructs a step-type carbon transaction mechanism, and interval division is carried out according to the carbon emission, and the carbon transaction price is increased along with the increase of the carbon emission.
Wherein,
a stepped carbon transaction cost; e is carbon emission; c. C c A carbon transaction price; l is the length of the carbon emission interval; omega is the growth coefficient.
In the step 2, the integrated energy system IES is divided into an energy system operator ESO, an energy Producer EP, and a Load Aggregator (LA), and the outside of the integrated energy system IES interacts with a Power generator (PP) to ensure the reliability of energy supply. The energy system operator ESO further enhances the regulation and control capability of the operation of the integrated energy system IES by configuring the energy storage device.
The ESO model of the energy system operator configured with the stored energy is as follows:
wherein f is ESO Is an objective function of the ESO; c ESO,s 、C ESO,b 、
Are respectively provided withEnergy selling income, energy purchasing expense and carbon transaction cost for the ESO; c sell Selling electricity for the PP; c ESO,om Operating maintenance costs for stored energy;
the purchase and sale energy prices established for the ESO respectively;
the charging power and the heat charging power of the electricity storage device and the heat storage device are respectively; k is a radical of ESO Maintaining a cost factor for the operation of stored energy; t represents time.
The configuration of energy storage enables the energy system operator ESO to coordinate the electric heat supply and demand balance by adjusting the charging and discharging power of the electricity storage and heat storage devices, namely:
wherein i belongs to (e, h, c) and is electric energy, heat energy and cold energy respectively;
output power for EP;
purchasing electric quantity for ESO to the upper level;
for the charging power of the electrical storage means,
for the discharge power of the electric storage device,
for the charging power of the heat storage device,
the discharge power of the heat storage device;
In the step 3, the double-layer master-slave game provided by the invention describes a decision process for pursuing the maximum benefit among PP, ESO, EP and LA. In the double-layer master-slave game model, an energy system operator ESO is positioned in the middle position of connecting a power generator PP with an energy producer EP and a load aggregator LA, and can coordinate system supply and demand balance;
in the upper-layer game, an energy system operator ESO serves as a follower of a power generator PP (leader) to form a primary-secondary game;
in the lower layer game, the energy system operator ESO is taken as a leader of an energy producer EP and a load aggregator LA (follower), and forms a master-slave game. In the transaction process, the electricity selling price strategy of the PP can influence the electricity purchasing quantity from the ESO to the PP; meanwhile, the IES internal energy purchase price policy made by the ESO affects the EP energy purchase policy as well as the LA demand response policy. Conversely, a change in the EP energy sales strategy and the LA demand response strategy will cause the ESO to readjust the internal energy sales price strategy and the electricity purchase strategy to the PP, thereby further affecting the PP's adjustment of the electricity price strategy.
The energy transaction process accords with the dynamic game characteristics of a master-slave hierarchical structure, and all the main bodies realize mutual benefit balance by continuously updating own strategies to obtain game balance solutions, so that the problem of benefit conflict of all the main bodies is solved, and multi-main-body benefit balance is realized.
In the step 3, the double-layer master-slave game model is expressed as follows:
the double-layer master-slave game model comprises the basic elements of a master-slave game: game participants, decision variables and utility functions; the game participants are power generators PP, energy system operators ESO, energy manufacturers EP and load aggregators LA; the decision variable is PP electricity selling price S PP ESO Electricity purchase amount and energy purchase and sale price S ESO EP energy of sale S EP LA actual load S LA (ii) a The utility function of the game being the subject objective function, i.e. f PP ，f ESO ，{f EP ,f LA }。
And constructing a main carbon quota model, an actual carbon emission model and a carbon transaction cost model to form a ladder-type carbon transaction model, and mutually matching the ladder-type carbon transaction model with the comprehensive demand response to limit the carbon emission of the integrated energy system IES.
Each subject objective function is as follows:
(1) The generator PP profit model:
the generator PP guides an energy system operator ESO to flexibly purchase electricity by formulating an electricity selling price, the cost of the energy system operator ESO for compensating insufficient resources is reduced while the benefit of the generator PP is improved, the maximum income is taken as a target by the generator PP, and the target function is as follows:
f PP ＝C sell -C PP
wherein, C sell 、C PP Respectively selling electricity income and operating cost for the PP of the power generator; rho s Selling the electricity price for the PP of the power generator; a is m Coefficient of quadratic term as a function of the power generation of the unit, b m First order coefficient of generating function of unit, c m Is a constant term coefficient of the generating function of the unit.
(2) Energy system operator ESO revenue model:
the ESO revenue model of the energy system operator after the energy storage is introduced is as follows:
(3) Energy producer EP revenue model:
the energy producer EP adjusts the output of the unit according to the energy purchase price established by the ESO to realize the maximization of the self benefit, and the objective function is as follows:
wherein, C EP The running cost of the EP unit is reduced;
carbon trading cost for EP;
the output power of a Gas Turbine (GT) and a Gas Boiler (GB); a is e Coefficient of quadratic term being GT running cost function, b e Coefficient of first order of GT running cost function, c e Coefficient of constant term for GT running cost function, a h Coefficient of quadratic term being a function of GB running cost, b h Coefficient of first order of GB running cost function, c h Is a constant term coefficient of the GB running cost function.
(4) Load aggregator LA revenue model:
considering the utility and the cost of the energy consumption of the load aggregation provider LA, the utility of the load aggregation provider LA is the maximum target, and the target function is as follows:
f LA ＝C LA -C ESO,s
wherein, C LA Energy efficient for LA; alpha (alpha) ("alpha") i Coefficient of first order of energy preference function, beta, for LA i Using quadratic term coefficients of the energy preference function for LA;
the actual load power after the response is demanded for the LA.
The invention relates to a comprehensive energy system multi-main-body low-carbon economic operation method based on a double-layer master-slave game, which has the following technical effects:
1) In the step 1 of the invention, a step-type carbon transaction mechanism is considered while a comprehensive energy system transaction mechanism is constructed. Unlike the conventional carbon trading mechanism, the stepped carbon trading mechanism performs interval division according to the carbon emission, and the carbon trading price increases with the increase of the carbon emission. Therefore, the integrated energy system transaction mechanism considering the stepped carbon transaction can effectively limit the carbon emission of the system.
2) Unlike the conventional IES structure, the stored energy in the IES basic structure established in step 2 of the present invention is configured by the ESO, so that the ESO can improve the flexibility of coordinating the balance between the electric heat supply and demand by adjusting the charging and discharging powers of the electric storage device and the heat storage device. Therefore, the basic structure of the IES constructed by the invention can simultaneously improve the capability and the economy of ESO for adjusting the IES supply and demand balance.
3) In the current game theory-based IES economic operation research, PP and IES direct electricity purchase are rarely mentioned, the ESO only guides a supply and demand side to participate in comprehensive demand response through price signals, the regulation and control capability of IES energy supply and demand balance is lacked, and the economic benefit form is single. In the double-layer master-slave game model established in the step 3 of the invention, the PP, the ESO, the EP and the LA can make a transaction strategy according to self benefits and coordinate the operation of internal equipment, thereby meeting the balance of supply and demand and playing the active decision-making capability of the PP and the IES for market transaction.
Drawings
FIG. 1 is a flow chart of a method for providing low carbon economy operation of the present invention.
Fig. 2 is an electric power supply and demand balance diagram.
FIG. 3 is a thermal power supply and demand balance diagram.
Fig. 4 is a cold power supply and demand balance diagram.
Detailed Description
A multi-main-body low-carbon economic operation method of a comprehensive energy system based on a double-layer master-slave game is disclosed. Firstly, in order to reduce the carbon emission of the integrated energy system, the method constructs an integrated energy system trading mechanism considering the step-type carbon trading. Secondly, in order to improve the capacity and the income of energy system operators participating in system regulation, the method constructs a basic structure of a comprehensive energy system configured by the energy system operators for energy storage. Finally, the method establishes a double-layer master-slave game model of a generator-energy system operator (an energy producer and a load aggregator) based on a master-slave game theory so as to exert the active decision-making capability of the generator and the comprehensive energy system for market trading. The method provided by the invention can fully exert the active decision-making capability of each main body, promote the benefit balance of each main body and realize the low-carbon and economic operation of the comprehensive energy system. As shown in fig. 1, the method comprises the following steps:
step 1: constructing a comprehensive energy system transaction mechanism considering the step-type carbon transaction;
step 2: constructing a basic structure of a comprehensive energy system configured by an Energy System Operator (ESO) for energy storage;
and step 3: based on the principal and subordinate game theory, a double-layer principal and subordinate game model of a generator-energy system operator- (an energy producer and a load aggregator) is established.
FIG. 1 is a flow chart of a method for operating the carbon economy provided by the present invention. First, an IES transaction mechanism is constructed that considers hierarchical carbon transactions. Then, an IES infrastructure is built that is stored by the ESO configuration. And then, establishing a multi-main-body low-carbon economic interaction mechanism and model based on the double-layer master-slave game. In the two-tier master-slave game: ESO as the follower of PP (leader) constitutes a primary-secondary upper game; the ESO is a leader of EP and LA (followers) and constitutes a lower-level game of one master and multiple slaves. And finally, continuously updating the strategy of each main body to obtain game equilibrium solution, thereby realizing multi-main-body benefit equilibrium.
Fig. 2 is a diagram of Electric power supply and demand balance, and it can be seen from fig. 2 that during the time periods 1-7, 00 and 24, the load Electric energy is completely supplied by the EP, and the EP actual generated Electric power is much larger than the Electric load demand, and the excess Electric power is used for refrigerating by an Electric Refrigerator (ER) on one hand, and is stored in an Electric storage device after being purchased by an ESO on the other hand. At 8. The main reason is that the GT is influenced by the actual output model of the unit and the power supply capacity of other main bodies, the output of the GT is adjusted within an economic range, and the GT operates stably. Meanwhile, ESO plays a role in regulation and control, and basically realizes low charging and high discharging of the stored electricity.
FIG. 3 is a thermal power supply and demand balance diagram. Fig. 3 shows that the main sources of thermal power in the system are the Waste Heat Boiler (WHB) and GB unit outputs, which fluctuate smoothly. The main reason is influenced by the actual output model of the unit, and the unit is most economical in the output range. With the help of heat storage equipment in the ESO, the WHB and GB units in the EP can flexibly adjust output to realize economic operation. Meanwhile, the heat storage equipment of the ESO mainly focuses on 11-00 to release heat, and charges heat in 21.
Fig. 4 is a cold power supply and demand balance diagram. As can be seen from fig. 4, the EP prefers ER to deliver cooling power, mainly because ER is more efficient and economical. However, at 7.
Comprehensive analysis of fig. 2, fig. 3, and fig. 4 shows that the output of renewable energy in the system is fully utilized, and simultaneously, the system load demand is effectively and economically satisfied through the mutual cooperation of various energy supply devices and outsourcing electric energy.
TABLE 1 results of the runs under different protocols
Table 1 shows the results of the runs under different protocols. In order to verify the economy and low carbon of the method provided by the invention, 4 schemes are set for comparative analysis:
in the scheme 1, the participation of PP in the game is not considered, and an ESO configuration energy storage mechanism, a load demand response mechanism and a carbon transaction mechanism are considered;
scheme 2 is to consider a double-layer master-slave game, a load demand response and a carbon transaction mechanism, and not to consider ESO configuration energy storage;
scheme 3 is that the load demand response is not considered (no game exists in the system), and an energy storage and carbon transaction mechanism is configured by considering the ESO;
scheme 4 is the strategy proposed by the present invention.
Comparing scheme 1 with scheme 4, the PP in scheme 1 sells electricity at the basic electricity price, and the price is lower, resulting in the profit being reduced by 363 yuan. Meanwhile, the lower electricity price of PP further lowers the energy purchase price established by ESO, resulting in the reduction of EP revenue by 607 yuan. The scheme 4 can exert the active decision-making capability of the PP participating in bidding, is beneficial to balancing the benefits of all the main bodies and promotes the continuous cooperation among the supply and demand main bodies.
Comprehensive analysis scheme 2 and scheme 4 show that the ESO in scheme 2 does not have energy storage equipment, only adjusts the supply and demand relationship of the system through a price strategy, cannot meet the requirement that the output of an EP unit is within an economic operation range through energy storage allowance, and increases the purchase power of PP. The comprehensive change condition of each main body benefit in the scheme 2 is worse than that in the scheme 4, and the total carbon emission of the system is increased by 1057kg, so that the low-carbon concept is not met. Compared with the scheme 4, the scheme 3 has the advantages that the yield of the ESO is increased by 288 yuan, the yield of the EP is reduced by 1346 yuan, the yield of the LA is reduced by 1467 yuan, the total carbon emission is increased by 1286kg, and obviously, the scheme 4 is more economic and low-carbon. In conclusion, the strategy provided by the invention has the advantages of economy and low carbon in each scheme, and can realize the benefit balance of each subject.
Claims (5)
1. The comprehensive energy system multi-main-body low-carbon economic operation method based on the double-layer master-slave game is characterized by comprising the following steps of:
step 1: constructing a comprehensive energy system transaction mechanism considering the step-type carbon transaction;
step 2: constructing a basic structure of a comprehensive energy system configured by an Energy System Operator (ESO) for energy storage;
and step 3: based on a principal and subordinate game theory, a double-layer principal and subordinate game model based on a power generator, an energy system operator, an energy producer and a load aggregator is established.
2. The comprehensive energy system multi-body low-carbon economic operation method based on the double-layer master-slave game as claimed in claim 1, is characterized in that: in the step 1, the carbon emission in the integrated energy system IES mainly comes from energy supply equipment in a superior electricity purchasing and energy producer EP, and a stepped carbon trading model of the EP and the energy system operator ESO is constructed according to the capacity of the EP and the electricity purchasing quantity of the energy system operator ESO.
3. The comprehensive energy system multi-body low-carbon economic operation method based on the double-layer master-slave game as claimed in claim 1, is characterized in that: in the step 2, the integrated energy system IES is divided into an energy system operator ESO, an energy producer EP and a load aggregator LA, and the outside of the integrated energy system IES is in electric energy interaction with a generator PP;
the energy system operator ESO model configured with stored energy is as follows:
wherein f is ESO Is an objective function of the ESO; c ESO,s 、C ESO,b 、
Respectively the ESO energy selling income, the energy purchasing expense and the carbon transaction cost; c sell Selling electricity for the PP; c ESO,om Operating maintenance costs for stored energy;
the purchase and sale energy prices established for the ESO respectively;
the charging power and the heat charging power of the electricity storage device and the heat storage device are respectively; k is a radical of ESO Maintaining a cost factor for the operation of stored energy; t represents a time;
the configuration of energy storage enables the energy system operator ESO to coordinate the electric heat supply and demand balance by adjusting the charging and discharging power of the electricity storage and heat storage devices, namely:
wherein i belongs to (e, h, c) and is electric energy, heat energy and cold energy respectively;
output power for EP;
purchase power to upper level for ESO；
For the charging power of the electrical storage device,
for the discharge power of the electric storage device,
for the charging power of the heat storage device,
the discharge power of the heat storage device;
4. The comprehensive energy system multi-body low-carbon economic operation method based on the double-layer master-slave game as claimed in claim 1, is characterized in that: in the step 3, in the double-layer master-slave game model, the energy system operator ESO is in the middle position of the relation between the power generator PP and the energy producer EP as well as the load aggregator LA, and can coordinate the balance of supply and demand of the system;
in the upper-layer game, an energy system operator ESO serves as a follower of a power generator PP to form a primary-secondary game; in the lower layer game, an energy system operator ESO is taken as a leader of an energy producer EP and a load aggregator LA to form a one-master multi-slave game.
5. The comprehensive energy system multi-body low-carbon economic operation method based on the double-layer master-slave game as claimed in claim 1, is characterized in that: in the step 3, the double-layer master-slave game model is represented as follows:
the double-layer master-slave game model comprises the basic elements of a master-slave game: game participants, decision variables and utility functions; the game participants are power generators PP, energy system operators ESO, energy manufacturers EP and load aggregators LA; the decision variable is PP electricity selling price S PP ESO electric quantity purchase and energy purchase price S ESO EP energy of sale S EP LA actual load S LA (ii) a The utility function of the game being the subject objective function, i.e. f PP ，f ESO ，{f EP ,f LA }；
Each subject objective function is as follows:
(1) The generator PP profit model:
the generator PP guides an energy system operator ESO to flexibly purchase electricity by formulating an electricity selling price, the cost of the energy system operator ESO for compensating insufficient resources is reduced while the benefit of the generator PP is improved, the maximum income is taken as a target by the generator PP, and the target function is as follows:
f PP ＝C sell -C PP
wherein, C sell 、C PP Respectively selling electricity income and operating cost for the PP of the power generator; rho s Selling the electricity price for the PP of the power generator; a is m Coefficient of quadratic term as a function of the power generation of the unit, b m First order coefficient of generating function of unit, c m Constant term coefficient of generating function of the unit;
(2) Energy system operator ESO revenue model:
the ESO revenue model of the energy system operator after the energy storage is introduced is as follows:
(3) Energy producer EP revenue model:
the energy producer EP adjusts the output of the unit according to the energy purchase price established by the ESO to realize the maximization of the self benefit, and the objective function is as follows:
wherein, C EP The running cost of the EP unit is reduced;
carbon trading cost for EP;
the output powers of the gas turbine GT and the gas boiler GB respectively; a is e Coefficient of quadratic term being GT running cost function, b e Coefficient of first order of GT running cost function, c e Coefficient of constant term for GT running cost function, a h Coefficient of quadratic term being a function of GB running cost, b h Coefficient of first order of GB running cost function, c h Constant term coefficients for the GB running cost function;
(4) Load aggregator LA revenue model:
considering the utility and the cost of the energy consumption of the load aggregation provider LA, the utility of the load aggregation provider LA is the maximum target, and the target function is as follows:
f LA ＝C LA -C ESO,s
wherein, C LA Energy efficient for LA; alpha is alpha i Coefficient of first order of energy preference function, beta, for LA i Using quadratic coefficients of the energy preference function for LA;
the actual load power after the response is demanded for the LA.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211152829.4A CN115526684B (en) | 2022-09-21 | 2022-09-21 | Comprehensive energy system multi-main-body low-carbon operation method based on double-layer master-slave game |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211152829.4A CN115526684B (en) | 2022-09-21 | 2022-09-21 | Comprehensive energy system multi-main-body low-carbon operation method based on double-layer master-slave game |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115526684A true CN115526684A (en) | 2022-12-27 |
| CN115526684B CN115526684B (en) | 2023-05-02 |
Family
ID=84700163
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211152829.4A Active CN115526684B (en) | 2022-09-21 | 2022-09-21 | Comprehensive energy system multi-main-body low-carbon operation method based on double-layer master-slave game |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115526684B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180083483A1 (en) * | 2016-09-22 | 2018-03-22 | Seung Ho Hong | Incentive-based demand response method considering hierarchical electricity market |
| CN111950809A (en) * | 2020-08-26 | 2020-11-17 | 华北电力大学（保定） | Master-slave game-based hierarchical and partitioned optimized operation method for comprehensive energy system |
| CN113240210A (en) * | 2021-06-30 | 2021-08-10 | 上海电力大学 | Multi-main-body master-slave game-based load aggregator economic optimization method |
| CN113592648A (en) * | 2021-07-21 | 2021-11-02 | 山东大学 | Multi-agent transaction method and system of comprehensive energy system |
| CN114676886A (en) * | 2022-03-04 | 2022-06-28 | 三峡大学 | Energy hub master-slave game optimization scheduling method based on comprehensive demand response and reward and punishment stepped carbon transaction |
| CN114971157A (en) * | 2022-04-06 | 2022-08-30 | 南昌大学 | Comprehensive energy system optimization operation method considering source-network-load-storage multi-party principal and subordinate game |
-
2022
- 2022-09-21 CN CN202211152829.4A patent/CN115526684B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180083483A1 (en) * | 2016-09-22 | 2018-03-22 | Seung Ho Hong | Incentive-based demand response method considering hierarchical electricity market |
| CN111950809A (en) * | 2020-08-26 | 2020-11-17 | 华北电力大学（保定） | Master-slave game-based hierarchical and partitioned optimized operation method for comprehensive energy system |
| CN113240210A (en) * | 2021-06-30 | 2021-08-10 | 上海电力大学 | Multi-main-body master-slave game-based load aggregator economic optimization method |
| CN113592648A (en) * | 2021-07-21 | 2021-11-02 | 山东大学 | Multi-agent transaction method and system of comprehensive energy system |
| CN114676886A (en) * | 2022-03-04 | 2022-06-28 | 三峡大学 | Energy hub master-slave game optimization scheduling method based on comprehensive demand response and reward and punishment stepped carbon transaction |
| CN114971157A (en) * | 2022-04-06 | 2022-08-30 | 南昌大学 | Comprehensive energy system optimization operation method considering source-network-load-storage multi-party principal and subordinate game |
Non-Patent Citations (2)
| Title |
|---|
| J. HE等: "Application of Game Theory in Integrated Energy System Systems: A Review" * |
| 周宁;刘文学;李嘉媚;艾芊;王亮;李山;: "基于合作博弈论与综合需求响应的负荷聚合商集群优化运营策略" * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115526684B (en) | 2023-05-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112308334B (en) | Master-slave cooperation game-based multi-virtual power plant joint optimization scheduling method | |
| CN111881616A (en) | Operation optimization method of comprehensive energy system based on multi-subject game | |
| CN112381335B (en) | Regional comprehensive energy system operation optimization method and device | |
| CN111553544B (en) | Industrial park distributed comprehensive demand response method based on consistency algorithm | |
| CN110611336B (en) | Optimal operation method of park multi-energy system with double-stage demand side response | |
| CN112182915B (en) | Optimized scheduling method and system for cooperatively promoting wind power consumption | |
| CN115907232B (en) | Regional comprehensive energy system cluster collaborative optimization method, system, equipment and medium | |
| CN115829142A (en) | Industrial enterprise comprehensive energy system optimization planning method | |
| CN112016825A (en) | Centralized transaction optimization decision method of regional comprehensive energy system | |
| CN116706920A (en) | Optimal strategy and optimal scheduling method for virtual power plant to participate in electric energy peak regulation market | |
| CN116914818A (en) | Virtual power plant operation management and optimal scheduling measurement and analysis method based on game | |
| Zhang et al. | Multi-level distributed demand response study for a multi-park integrated energy system | |
| CN117236587A (en) | Electric hydrogen-carbon cooperative scheduling optimization method for park comprehensive energy system | |
| Xu et al. | Optimal dispatching strategy of an electric-thermal-gas coupling microgrid considering consumer satisfaction | |
| CN116187648A (en) | Virtual power plant thermoelectric combination optimization scheduling method based on thermal decoupling | |
| CN116433046A (en) | Multi-main-game-considered network storage collaborative planning method for multi-energy power distribution system | |
| Cai et al. | Multi-objective coordinative scheduling of system with wind power considering the regulating characteristics of energy-intensive load | |
| CN117526451A (en) | Regional comprehensive energy system configuration optimization method considering flexible load | |
| CN117039862A (en) | Micro-grid group double-layer optimal configuration method and device based on hydrogen sharing energy storage service | |
| CN115526684A (en) | Comprehensive energy system multi-main-body low-carbon economic operation method based on double-layer master-slave game | |
| CN112270432B (en) | Energy management method of comprehensive energy system considering multi-subject benefit balance | |
| CN114188940B (en) | Active power distribution network scheduling method considering benefits of multiple subjects | |
| Zhu et al. | Distribution Profit Distribution Strategy for Virtual Power Plants Based on Bi-Layer Stackelberg Game Theory | |
| Sheng et al. | Peaking Control Strategy of Stackelberg Game for Buildings Based on Cluster Classification Incentive | |
| Gao et al. | Optimal Scheduling of Integrated Energy Systems Considering Master-slave Games and User Comfort |
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 | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240627 Address after: Room 1901, 19th Floor, Zhongzhong Creative Building, No. 33 Luoyu Road, Luonan Street, Hongshan District, Wuhan City, Hubei Province, 430000 Patentee after: Hubei Yihe Electric Development Co.,Ltd. Country or region after: China Address before: 443002 No. 8, University Road, Xiling District, Yichang, Hubei Patentee before: CHINA THREE GORGES University Country or region before: China |
|
| TR01 | Transfer of patent right |