CN109409978B - Electric power spot market concentrated bidding loss sharing algorithm based on improved Shapley value - Google Patents
Electric power spot market concentrated bidding loss sharing algorithm based on improved Shapley value Download PDFInfo
- Publication number
- CN109409978B CN109409978B CN201810990287.5A CN201810990287A CN109409978B CN 109409978 B CN109409978 B CN 109409978B CN 201810990287 A CN201810990287 A CN 201810990287A CN 109409978 B CN109409978 B CN 109409978B
- Authority
- CN
- China
- Prior art keywords
- power
- power plant
- network loss
- loss
- network
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 claims abstract description 25
- 238000004364 calculation method Methods 0.000 claims abstract description 12
- 230000008569 process Effects 0.000 claims abstract description 8
- 230000005540 biological transmission Effects 0.000 claims description 45
- 239000000126 substance Substances 0.000 claims description 12
- 230000005611 electricity Effects 0.000 claims description 6
- 230000007246 mechanism Effects 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 230000008520 organization Effects 0.000 claims description 4
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000002860 competitive effect Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 claims 1
- 238000012800 visualization Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012163 sequencing technique Methods 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]
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/10—Energy trading, including energy flowing from end-user application to grid
Landscapes
- Business, Economics & Management (AREA)
- Economics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Public Health (AREA)
- Tourism & Hospitality (AREA)
- Primary Health Care (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to the technical field of electric power spot markets, in particular to an electric power spot market concentrated bidding network loss allocation algorithm based on an improved Shapley value; the method can give consideration to the requirements of market members on visualization of a calculation method and the requirements of combining a sharing algorithm with a network loss contribution rate, reflects the actual contribution of a power plant to network loss by adopting the improved Shapley value, simplifies the algorithm by improving the Shapley value algorithm, and ensures that the calculation process is more intuitive and easy to understand.
Description
Technical Field
The invention relates to the technical field of electric power spot markets, in particular to an electric power spot market concentrated bidding network loss allocation algorithm based on an improved Shapley value.
Background
The electric power spot market is the key point of the current electric power market innovation, and the centralized bidding trading mode is the most common trading mode in the electric power spot market. In the mode, the power plant declares power capacity and quotation according to power demand at a certain moment, the power dispatching mechanism takes power grid operation economy as a target, comprehensively considers various constraints such as network transmission and the like, decides winning power of each power plant, and further determines the price of the clear power. The distribution of the network loss is an important problem in the electric power spot market, the reduction of the network loss is an important decision basis in the electric power spot market, and however, the distribution of the network loss generated around the transaction is an important problem affecting the fairness of the clearing result.
Although the academic community researches numerous network loss allocation algorithms such as power flow tracking and Shapley value, from the practical implementation point of view, the proportion allocation is still the most common network loss allocation method in the practical implementation process. The basic idea of the proportion sharing method is that the power plant proportionally shares the network loss according to the standard capacity of the power plant. Under the proportion sharing mode, the higher the bid amount in the power plant, the higher the distributed network loss is, and the contribution rate of the network loss is inconsistent. Therefore, the method cannot reflect the real network loss influence factors of the power plant, is not beneficial to realizing resource optimization configuration by adjusting network loss allocation, and improves the operation efficiency of the power grid.
Although algorithms such as power flow tracking and Shapley value proposed by academia are closely combined with power grid operation, the calculation process is closely combined with the power grid operation technology, so that the algorithms are not beneficial to market members to know the physical principle of the algorithms and are difficult to actually implement.
Disclosure of Invention
In order to solve the problems, the invention provides a concentrated bidding network loss allocation algorithm for the electric power spot market based on an improved Shapley value, which has the following specific technical scheme:
a power spot market concentrated bidding loss sharing algorithm based on an improved Shapley value comprises the following steps:
(1) and (3) counting the actual network loss, wherein the actual network loss is the difference value between the grid-connected power of all power plants merged into the power transmission network and the power supply load and the external power transmission load of the power transmission network at the moment, and is specifically represented as follows:
wherein the content of the first and second substances,
for the actual network loss at the time t,
for the power plant i to surf the internet at time t,
for the supply load of the grid at time t,
for the external power transmission load of the power transmission network at the moment t, NG is the total number of power plants in the system;
(2) calculating theoretical network loss; the theoretical network loss refers to the network loss generated by the theoretical calculation of system operation determined according to the clear result;
(3) constructing a default trading scene of each power plant, and calculating the theoretical transmission loss of each power plant under the default trading scene
(4) Calculating the improved sharley value of each power plant in the following specific way:
Sifor improved Shapley values of power plant i, as SiWhen the value is 1, the theoretical transmission network loss of the power plant i before and after the power plant i participates in market trading is not changed; when S isiThe value is more than 1, and the larger value indicates that although the power price of the power plant i has higher competitiveness, the power plant i has larger negative influence on the transmission network loss, and the participation in market trading leads to the increase of the transmission network loss; when S isiThe value is less than 1, and the smaller the value is, the power plant i has stronger competitiveness and can reduce the transmission network loss when participating in market trading; (5) judging whether the scheduling execution meets the requirements or not, and calculating a network loss penalty value;
judging whether the execution of a scheduling mechanism meets requirements or not according to the actual execution condition of each power plant; the power plant output deviation index is specified as an evaluation standard of a dispatching regulation of a dispatching organization, and is defined as follows:
wherein the content of the first and second substances,
respectively outputting clear bid and winning power for the actual output and the trade of the power plant i at the moment t, wherein delta is the output deviation index of the power plant; specifying a power plant output deviation limit δlimIf delta is less than or equal to deltalimIf the network loss change influenced by the scheduling operation can be accepted; when delta > deltalimAnd then, considering that the dispatching operation has influence on the network loss and deviates from the result of clearing the trade, namely, the electric power can be punished according to the actual scale regulation of the electric power market
(6) Calculating the network loss share of the power plant;
after the influence generated in the scheduling operation process is proposed, the rest part of the network loss is allocated, and the allocated network loss power can be represented as follows:
wherein the content of the first and second substances,
in order to obtain the network loss to be shared,
for the actual network loss at the time t,
a scheduling network loss apportionment value generated by scheduling operation deviation;
network loss sharing of power plant
The sharing is carried out by considering the Shapley value on the basis of the following steps:
wherein the content of the first and second substances,
the network loss of the power plant i is shared.
Preferably, in the step (3), a default trading scenario of each power plant is constructed, and the theoretical grid loss of each power plant under the default trading scenario is calculated
The method specifically comprises the following steps:
(1) constructing a default trading scenario for power plant i:
constructing a default trading scene of the power plant i, namely the trading scene after the declaration of the power plant i on the electric power and the electricity price is removed;
(2) calculating a clearing result under a default trading scene:
under the default trading scene, trading and clearing again according to the trading and clearing principle of the power spot market, and calculating the winning power and the power grid purchase price of each power plant;
(3) calculating theoretical network loss under a default trading scene:
according to the winning power of each power plant in the default trading scene, firstly, the power grid load flow under the clearing result is calculated to obtain parameters such as voltage amplitude, phase angle and the like of each node in the default trading scene, and the theoretical network loss of the power plant i in the default scene is calculated by utilizing a method for calculating the theoretical network loss
Preferably, the method for calculating the theoretical network loss specifically comprises:
wherein the content of the first and second substances,
for the theoretical loss calculated from the outcome, NB is the total number of nodes, V, of the transmission networki、VjRespectively representing the voltage amplitudes of a node i and a node j in the power transmission network, j belongs to i and represents that the node i is connected with the node j through a power transmission line, GijIs the conductance of the transmission line, thetaijIs a two-node voltage Vi、VjThe difference in phase angle of (c).
The invention has the beneficial effects that: the method can give consideration to the requirements of market members on visualization of a calculation method and the requirements of combining a sharing algorithm with a network loss contribution rate, reflects the actual contribution of a power plant to network loss by adopting the improved Shapley value, simplifies the algorithm by improving the Shapley value algorithm, and ensures that the calculation process is more intuitive and easy to understand.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
For a better understanding of the present invention, reference is made to the following detailed description taken in conjunction with the accompanying drawings in which:
as shown in fig. 1, a power spot market concentrated bidding network loss apportionment algorithm based on improved sharey value includes the following steps:
s1: and (4) counting the actual network loss, wherein the trade target in the electric power spot market is the electric power at a certain moment in actual operation, so that the network loss in the electric power spot market only needs to be considered for distribution. The actual grid loss is a difference value between the grid power of all power plants incorporated into the power transmission network and the power supply load and the external power transmission load of the power transmission network at the moment, and is specifically represented as follows:
wherein the content of the first and second substances,
for the actual network loss at the time t,
for the power plant i to surf the internet at time t,
for the supply load of the grid at time t,
for the outgoing electrical load of the grid at time t, NG is the total number of power plants in the system. The online power, the power supply load of the power transmission network at the moment and the external power transmission load of all the power plants can be directly inquired and obtained by the EMS system.
S2: calculating theoretical network loss; the theoretical network loss refers to the network loss generated by the theoretical calculation of system operation determined according to the clear result; the loss can be obtained through calculation and analysis based on an alternating current power flow model, a calculation formula of the loss is a common formula in power system analysis, specifically, an alternating current power flow calculation module is called according to a clearing result to obtain node voltage amplitude and phase angle data under the clearing result, and the formula is called on the basis to calculate the network loss. The method for calculating the theoretical network loss specifically comprises the following steps:
wherein the content of the first and second substances,
for the theoretical loss calculated from the outcome, NB is the total number of nodes, V, of the transmission networki、VjRespectively representing the voltage amplitudes of a node i and a node j in the power transmission network, j belongs to i and represents that the node i is connected with the node j through a power transmission line, GijIs the conductance of the transmission line, thetaijIs a two-node voltage Vi、VjThe difference in phase angle of (c).
S3: constructing a default trading scene of each power plant, and calculating the theoretical transmission loss of each power plant under the default trading scene
The default transaction scene refers to a transaction result obtained by executing a clearing process after electric power and electricity price declared by a certain power plant are removed from a transaction clearing. And (4) sequencing and numbering the power plants, and calculating the default trading scene and the theoretical transmission loss under the scene according to the sequence.
S31: constructing a default trading scenario for power plant i:
constructing a default trading scene of the power plant i, namely the trading scene after the declaration of the power plant i on the electric power and the electricity price is removed;
s32: calculating a clearing result under a default trading scene:
under the default trading scene, trading and clearing again according to the trading and clearing principle of the power spot market, and calculating the winning power and the power grid purchase price of each power plant;
it should be noted that, the declared power of a certain power plant is rejected when the supply is greater than the demand, and the situation that the declared power of the power plant is smaller than the power purchasing demand of the system does not occur. However, the power generation plant has large market power in some special scenes, and the power supply and the demand are not required after the power generation plant declares that the power is rejected.
S32: calculating theoretical network loss under a default trading scene:
according to the bid power of each power plant in the default trading scene, the same method as the step S2 is adopted, firstly, the power grid load flow under the clearing result is calculated, parameters such as the voltage amplitude value, the phase angle and the like of each node in the default trading scene are obtained, and the theoretical network loss of the power plant i in the default scene is calculated and obtained by the method for calculating the theoretical network loss
The method for calculating the theoretical network loss is specifically shown in step S2.
S4: calculating the improved Shapley value of each power plant, wherein the theoretical loss of the power plant under the default trading scene is compared with the theoretical loss of the power plant under the trading scene without default processing
The amount of change can be regarded as the degree of contribution of the power plant to the grid loss of the power transmission network. The specific calculation method is as follows:
Sifor improved Shapley values of power plant i, as SiWhen the value is 1, the theoretical transmission network loss of the power plant i before and after the power plant i participates in market trading is not changed; when S isiThe value is more than 1, and the larger value indicates that although the power price of the power plant i has higher competitiveness, the power plant i has larger negative influence on the transmission network loss, and the participation in market trading leads to the increase of the transmission network loss; when S isiThe value is less than 1, and the smaller the value is, the power plant i has stronger competitiveness and can reduce the transmission network loss when participating in market trading.
For market power plants with the possibility of interfering with the normal operation of the market due to their market handling capabilities, their sharley value is specified as the maximum of all the remaining power plants to further weaken their market control, in reference to the united states PJM power market practice.
S5: judging whether the scheduling execution meets the requirements or not, and calculating a network loss penalty value;
it should be noted that the reason for the difference between the theoretical loss and the actual loss is complicated. In the electric power spot market, a grid dispatching authority purchases electricity on behalf of a user. According to different market subjects, the method can be divided into two categories, namely a scheduling mechanism and a power plant. Judging whether the execution of a scheduling mechanism meets requirements or not according to the actual execution condition of each power plant; the power plant output deviation index is specified as an evaluation standard of a dispatching regulation of a dispatching organization, and is defined as follows:
wherein the content of the first and second substances,
respectively outputting clear bid and winning power for the actual output and the trade of the power plant i at the moment t, wherein delta is the output deviation index of the power plant; specifying a power plant output deviation limit δlimIf delta is less than or equal to deltalimIf the network loss change influenced by the scheduling operation can be accepted; when delta > deltalimAnd then, considering that the dispatching operation has influence on the network loss and deviates from the result of clearing the trade, namely, the electric power can be punished according to the actual scale regulation of the electric power market
The criterion for penalizing the electric power is given manually according to the actual conditions of each power grid, and can be generally determined according to the principle of linear increment, namely:
wherein alpha isDIs a linear penalty coefficient, and generally takes the value of 0.2-0.3MW-1。
However, it should be noted that the penalty power needs to be analyzed more carefully, and if the power plant is deviated due to a power plant side reason such as an unplanned shutdown of the power plant, the power plant assumes the penalty; otherwise, the power grid company of the dispatching organization bears the penalty.
S6: calculating the network loss share of the power plant;
after the influence generated in the scheduling operation process is proposed, the rest part of the network loss is allocated, and the allocated network loss power can be represented as follows:
wherein the content of the first and second substances,
in order to obtain the network loss to be shared,
for the actual network loss at the time t,
a scheduling network loss apportionment value generated by scheduling operation deviation;
network loss sharing of power plant
The sharing is carried out by considering the Shapley value on the basis of the following steps:
wherein the content of the first and second substances,
the network loss of the power plant i is shared.
The present invention is not limited to the above embodiments, which are merely preferred embodiments of the present invention, and the present invention is not limited thereto, and any modifications, equivalents and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. A concentrated bidding loss sharing algorithm for a power spot market based on an improved Shapley value is characterized in that: the method comprises the following steps:
(1) and (3) counting the actual network loss, wherein the actual network loss is the difference value between the grid-connected power of all power plants merged into the power transmission network and the power supply load and the external power transmission load of the power transmission network at the moment, and is specifically represented as follows:
wherein, Pt S,RFor the actual network loss at the time t,
for the power plant i at the moment t, Pt G,RFor supplying the grid with a load, P, at time tt W,RFor the external power transmission load of the power transmission network at the moment t, NG is the total number of power plants in the system;
(2) calculating theoretical network loss; the theoretical network loss refers to the network loss generated by the theoretical calculation of system operation determined according to the clear result;
(3) constructing a default trading scene of each power plant, and calculating the theoretical transmission loss of each power plant under the default trading scene
(4) Calculating the improved sharley value of each power plant in the following specific way:
Pt S,Tfor theoretical net losses, S, calculated from the clearing resultsiFor improved Shapley values of power plant i, as SiWhen the value is 1, the theoretical transmission network loss of the power plant i before and after the power plant i participates in market trading is not changed; when S isiValues greater than 1, and a larger value indicates that although the electricity price of the power plant i is competitive, the power plant i has a large negative effect on the grid loss of the power transmission network, and the participation in market trading leads to the increase of the grid loss; when S isiThe value is less than 1, and the smaller the value is, the power plant i has competitiveness and can reduce the transmission network loss when participating in market trading;
(5) judging whether the scheduling execution meets the requirements or not, and calculating a network loss penalty value;
judging whether the execution of a scheduling mechanism meets requirements or not according to the actual execution condition of each power plant; the power plant output deviation index is specified as an evaluation standard of a dispatching regulation of a dispatching organization, and is defined as follows:
wherein the content of the first and second substances,
respectively outputting clear bid and winning power for the actual output and the trade of the power plant i at the moment t, wherein delta is the output deviation index of the power plant; specifying a power plant output deviation limit δlimIf delta is less than or equal to deltalimIf the network loss change influenced by the scheduling operation can be accepted; when delta > deltalimAnd then, considering that the dispatching operation has influence on the network loss and deviates from the result of clearing the trade, namely, the electric power P can be punished according to the actual scale regulation of the electric power markett D；
(6) Calculating the network loss share of the power plant;
after the influence generated in the scheduling operation process is proposed, the rest part of the network loss is allocated, and the allocated network loss power is represented as follows:
Pt S,F＝Pt S,R-Pt D； ④
wherein, Pt S,FFor the loss of the network to be amortized, Pt S,RIs the actual network loss at time t, Pt DA scheduling network loss apportionment value generated by scheduling operation deviation;
network loss sharing of power plant requires that the network loss P to be sharedt S,FBased on the above, the sharley value is considered for distribution, and is expressed as:
wherein the content of the first and second substances,
the network loss of the power plant i is shared.
2. The electric power spot market concentrated bidding network loss sharing algorithm based on the improved sharley value according to claim 1, wherein: constructing a default trading scenario of each power plant in the step (3), and calculating the theoretical transmission loss of each power plant under the default trading scenario
The method specifically comprises the following steps:
(1) constructing a default trading scenario for power plant i:
constructing a default trading scene of the power plant i, namely the trading scene after the declaration of the power plant i on the electric power and the electricity price is removed;
(2) calculating a clearing result under a default trading scene:
under the default trading scene, trading and clearing again according to the trading and clearing principle of the power spot market, and calculating the winning power and the power grid purchase price of each power plant;
(3) calculating theoretical network loss under a default trading scene:
according to the winning power of each power plant in the default trading scene, firstly, the power grid load flow under the clearing result is calculated to obtain the voltage amplitude and the phase angle parameter of each node in the default trading scene, and the theoretical network loss of the power plant i in the default scene is calculated by utilizing a method for calculating the theoretical network loss
3. The electric power spot market concentrated bidding network loss sharing algorithm based on the improved sharley value according to claim 1 or 2, wherein: the method for calculating the theoretical network loss specifically comprises the following steps:
wherein, Pt S,TFor the theoretical loss calculated from the outcome, NB is the total number of nodes, V, of the transmission networki、VjRespectively representing the voltage amplitudes of a node i and a node j in the power transmission network, j belongs to i and represents that the node i is connected with the node j through a power transmission line, GijIs the conductance of the transmission line, thetaijIs a two-node voltage Vi、VjThe difference in phase angle of (c).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810990287.5A CN109409978B (en) | 2018-08-28 | 2018-08-28 | Electric power spot market concentrated bidding loss sharing algorithm based on improved Shapley value |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810990287.5A CN109409978B (en) | 2018-08-28 | 2018-08-28 | Electric power spot market concentrated bidding loss sharing algorithm based on improved Shapley value |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109409978A CN109409978A (en) | 2019-03-01 |
| CN109409978B true CN109409978B (en) | 2021-09-21 |
Family
ID=65464402
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810990287.5A Active CN109409978B (en) | 2018-08-28 | 2018-08-28 | Electric power spot market concentrated bidding loss sharing algorithm based on improved Shapley value |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109409978B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105160490A (en) * | 2015-09-30 | 2015-12-16 | 南京邮电大学 | Cooperative game and DEA (Data Envelopment Analysis) based method for sharing fixed cost of power transmission system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120191528A1 (en) * | 2011-01-26 | 2012-07-26 | Yahoo! Inc. | Pricing and payment allocation among online advertising parties |
| CN103455852A (en) * | 2013-08-28 | 2013-12-18 | 西安交通大学 | Power transmission and distribution cost allocation method based on DEA cooperative game |
| CN103839177A (en) * | 2013-12-26 | 2014-06-04 | 浙江工业大学 | Improved Shapley value method distribution method of micro-grid load gaming |
-
2018
- 2018-08-28 CN CN201810990287.5A patent/CN109409978B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105160490A (en) * | 2015-09-30 | 2015-12-16 | 南京邮电大学 | Cooperative game and DEA (Data Envelopment Analysis) based method for sharing fixed cost of power transmission system |
Non-Patent Citations (3)
| Title |
|---|
| 基于shapley值的网损分摊新方法;胡朝阳等;《电力系统自动化》;20030410;第27卷(第7期);第32-35页 * |
| 基于叠加定理和Aumann-Shapley法的发电权交易网损分摊;王峥等;《电力系统保护与控制》;20140116;第42卷(第2期);第13-22页 * |
| 基于改进Shapley值的输电网网损优化与分摊方法;林成等;《电气应用》;20180405;第37卷(第7期);第70-74页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109409978A (en) | 2019-03-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jadhav et al. | A novel approach to neighborhood fair energy trading in a distribution network of multiple microgrid clusters | |
| CN107706921B (en) | Micro-grid voltage regulation method and device based on Nash game | |
| PankiRaj et al. | An auction mechanism for profit maximization of peer-to-peer energy trading in smart grids | |
| Xu et al. | Challenges in future competition of electric vehicle charging management and solutions | |
| Jin et al. | Pricing and operation strategy for peer-to-peer energy trading using distribution system usage charge and game theoretic model | |
| CN111523729B (en) | Virtual power plant bidding optimization control method based on IGDT and demand response | |
| Faqiry et al. | Distributed bilevel energy allocation mechanism with grid constraints and hidden user information | |
| CN115115277A (en) | Garden comprehensive energy scheduling method and device, computer equipment and storage medium | |
| Nguyen et al. | Bi-objective-based cost allocation for cooperative demand-side resource aggregators | |
| CN111815018A (en) | Optimal scheduling method and device for virtual power plant | |
| Muthirayan et al. | Mechanism design for self-reporting baselines in demand response | |
| Zhu et al. | Peer-to-peer energy trading in smart energy communities: A lyapunov-based energy control and trading system | |
| CN112036625A (en) | New energy consumption method based on principal and subordinate game under power market background | |
| Dai et al. | An equilibrium model of the electricity market considering the participation of virtual power plants | |
| CN109409978B (en) | Electric power spot market concentrated bidding loss sharing algorithm based on improved Shapley value | |
| CN110556821B (en) | Multi-microgrid double-layer optimization scheduling method considering interactive power control and bilateral bidding transaction | |
| CN112053193A (en) | Power generation management method, device and equipment based on adjustable electricity price and storage medium | |
| CN114462727B (en) | New energy system energy optimization scheduling method and system based on multi-main-body combination | |
| CN112651544B (en) | Incremental power distribution multi-main-body coordination optimization method | |
| CN115034663A (en) | Provincial electric power spot market clearing method, system, equipment and storage medium | |
| CN112633942A (en) | Park electric power system contract deviation charge calculation method, medium and equipment | |
| Erol et al. | A Stackelberg game approach for energy sharing management of a microgrid including photovoltaic and wind turbine prosumers | |
| CN113759705A (en) | Cooperative game theory-based multi-energy optimization configuration method | |
| Nishiyama et al. | Analysis of cooperative structure of demand response and market strategy of aggregator based on payoff allocation | |
| CN110288274A (en) | Generation schedule preparation method, device, equipment and the storage medium of multicomputer |
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 |