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A multi-strategy evolutionary game analysis method for microgrid source-storage joint planning based on subject bounded rational decision-making

An evolutionary game and microgrid technology, applied in the microgrid distributed power and energy storage joint planning, microgrid source-storage joint planning multi-strategy evolutionary game analysis field, can solve the solution is too ideal, it is difficult to determine user decision-making conclusions impact, etc.

Active Publication Date: 2022-05-24
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

The game method can effectively balance the complex economic relationship between different subjects, but the traditional game assumes that the participants are completely rational, so when analyzing the conflict of interest subjects, the solution is too ideal
In the application of evolutionary game in other fields, only two policy sets are used at most, and it is difficult to determine the influence of more decisions by users on the decision conclusion

Method used

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  • A multi-strategy evolutionary game analysis method for microgrid source-storage joint planning based on subject bounded rational decision-making
  • A multi-strategy evolutionary game analysis method for microgrid source-storage joint planning based on subject bounded rational decision-making
  • A multi-strategy evolutionary game analysis method for microgrid source-storage joint planning based on subject bounded rational decision-making

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Embodiment Construction

[0060] refer to figure 2 and image 3 , taking the actual distribution network system of a city in Northeast China and the microgrid system structure diagram as an example to analyze the multi-strategy evolutionary game analysis method of microgrid source-storage joint planning based on subject bounded rational decision-making. The power supply consists of three parts: Microturbine (Microturbine, MT) system, Photovoltaic (Photovoltaic, PV) system, and lead-acid battery energy storage system (Battery energy storage system, BESS).

[0061] refer to figure 1 , a multi-strategy evolutionary game analysis method for microgrid source-storage joint planning based on subject bounded rational decision-making of the present invention, which includes the following:

[0062] 1) Establish a multi-stakeholder evolutionary game model

[0063] (1.1) Generating game participating population groups

[0064] Mapping microgrid operators and grid operators into two populations, denoted by P ...

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Abstract

A multi-strategy evolutionary game analysis method for microgrid source-storage joint planning based on the subject's bounded rational decision-making of the present invention is characterized in that it includes the establishment of a multi-stakeholder evolutionary game model, the establishment of an evolutionary game replicator dynamic equation, and an evolutionary stability strategy Steps such as seeking and solving the evolutionary stable strategy based on the multi-strategy set evolutionary game solve the difficulty in balancing the conflict of interests between the microgrid operator and the grid operator in the current microgrid planning, and the limitations of the traditional game method assuming that the participants are completely rational The problem. The method of the invention can effectively balance the income between the micro-grid operator and the power grid operator, improve the utilization rate of renewable energy in the micro-grid, and reasonably reduce the network loss of the power grid. It has the advantages of scientific and reasonable method, strong applicability, and good effect, which can improve the efficiency of microgrid intelligent planning and balance the interests of different operators.

Description

technical field [0001] The invention relates to the field of microgrid source-storage capacity planning, and is a multi-strategy evolutionary game analysis method for microgrid source-storage joint planning based on subject bounded rational decision-making, which is applied to a multi-stakeholder microgrid distributed power supply (Distribution Generation, DG) and energy storage (Battery energy storage system, BESS) joint planning. Background technique [0002] In order to improve the utilization of renewable energy and meet the demand for flexibility of power supply in small areas, the regional microgrid system based on distributed generation has become a research hotspot. As a small power generation and distribution system including distributed power sources and energy storage systems, microgrids effectively supplement the large power grid system, effectively improving the reliability of regional power supply and reducing the cost of long-distance power transmission. Reas...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCY02E40/70
Inventor 黄南天包佳瑞琦蔡国伟杨冬锋黄大为王文婷张祎祺吴银银杨学航
Owner NORTHEAST DIANLI UNIVERSITY
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