A load control method and system based on a game theory

A technology of load control and game theory, applied in the field of load control methods and systems based on game theory, can solve problems such as real-time response to unfavorable electricity price strategies, non-inferior solutions cannot accurately and objectively represent the interests of both parties, etc.

Pending Publication Date: 2019-06-21
CHINA ELECTRIC POWER RES INST +2
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0003] In order to solve the problem that the traditional multi-objective solution in the prior art is not conducive to the real-time response of the electricity price strategy, and the obtained non-inferior solution cannot accurately and objectively represent the interests of both parties, the purpose of the present invention is to provide a load control method based on game theory and System, the present invention establishes an economic optimization model for multi-stakeholder transactions, based on dynamic game theory, uses dynamic particle swarm optimization algorithm to solve the Nash equilibrium problem of electricity price formulation and load demand, so as to realize the maximization of the interests of multiple power generation subjects

Method used

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  • A load control method and system based on a game theory
  • A load control method and system based on a game theory
  • A load control method and system based on a game theory

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Embodiment 1

[0117] The present invention provides a load control method based on game theory, comprising:

[0118] Obtain historical data and real-time weather data as forecast sample data;

[0119] Formulate electricity prices for multiple power generation entities based on forecast sample data;

[0120] Inputting the electricity price of the multi-generation main body and the load demand on the load side as dynamic game particles into the pre-built game model, using the particle swarm optimization algorithm to solve the Nash equilibrium point that satisfies the goal of maximizing the profit of the multi-generation main body;

[0121] The historical data includes load demand historical data, photovoltaic power generation historical data and historical meteorological data;

[0122] Real-time meteorological data includes at least temperature and seasonal data.

[0123] Further: the formulating of electricity prices for multiple power generation entities according to the forecast sample d...

Embodiment 2

[0232] Based on the same inventive concept, the present invention also provides a load control system based on game theory, including:

[0233] Obtaining module, for obtaining historical data and real-time meteorological data as forecast sample data;

[0234] Formulation module, which is used to formulate the electricity price of multiple power generation entities according to the forecast sample data;

[0235] The solution module is used to input the electricity price of the multiple power generation entities and the load demand on the load side as dynamic game particles into the pre-built game model, and use the particle swarm optimization algorithm to solve the Nash equilibrium point that satisfies the goal of maximizing the revenue of multiple power generation entities ;

[0236] The historical data includes load demand historical data, photovoltaic power generation historical data and historical weather data.

[0237] The formulation modules include:

[0238] The input...

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Abstract

The invention relates to a load control method and system based on a game theory. The method includes: acquiring Historical data and real-time meteorological data to serve as prediction sample data; Formulating electricity prices of multiple power generation subjects according to the prediction sample data; Inputting the electricity prices of the plurality of power generation subjects and the loaddemand of the load side as dynamic game particles into a pre-constructed game model, and solving Nash equilibrium points meeting a profit maximization target of the plurality of power generation subjects by using a particle swarm optimization algorithm, Wherein the historical data comprises load demand historical data, photovoltaic power generation historical data and historical meteorological data. According to the invention, the economic optimization model of multi-benefit subject transaction is established, and based on the dynamic game theory, the Nash equilibrium problem about electricity price formulation and load requirements is solved by using the dynamic particle swarm optimization algorithm, so that benefit maximization of multiple power generation subjects is realized.

Description

technical field [0001] The invention relates to the technical field of electric power system automation, in particular to a load control method and system based on game theory. Background technique [0002] With the further reform of the electricity market, the vigorously developed renewable energy operators each form independent stakeholders, and the traditional power dispatching model aimed at maximizing distribution network revenue will no longer be suitable for the new power grid operating environment with multiple power generation entities . Therefore, on the premise of meeting the needs of users, with the goal of maximizing the income of multiple power generation entities, the daily output information of renewable energy is formulated. The fluctuation of intermittent photovoltaic output makes it difficult to meet the ideal accuracy requirements only by relying on historical power generation data and load demand information. Economic and energy losses; There are confli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q50/06G06N3/00G06N3/08
Inventor 王德顺杨波史如新薛金花叶季蕾冯鑫振陶琼吴福保余涛张炜杜建赵上林俞斌姬联涛孙博
Owner CHINA ELECTRIC POWER RES INST
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