Distributed energy optimizing operation method based on game theory

Abstract

A distributed energy optimizing operation method based on a game theory comprises the following steps: S1, acquiring original data and parameters of each generator; S2, selecting a plurality of generators as game participants to establish a game model; S3, selecting an initial equilibrium point value in a strategy space of each decision variable; S4, according to the initial equilibrium point value, searching the optimal strategy of each game participant in the strategy space by a particle swarm algorithm; S5, sharing optimal strategy information of each game participant to each generator; S6,judging whether a system finds a Nash equilibrium point, and if the system finds the Nash equilibrium point, outputting the equilibrium point, and if the system does not finds the Nash equilibrium point, returning to the step S3. The output dispatching problem of distributed energy is solved in a non-cooperative game way under the premise that the minimum carbon emission is considered; the optimal output of each unit of a power system in each mode is solved so as to obtain the maximum economic benefit and the minimum cost under the same condition.

Description

technical field [0001] The invention belongs to the technical field of distributed power generation, and in particular relates to a distributed energy optimization operation method based on game theory. Background technique [0002] With the development of the times, environmental issues have attracted widespread attention around the world, and the distributed energy power system is a new energy supply model. The energy it consumes is some renewable resources, and these energies are all clean energy. The impact on the environment is minimal. Applying Distributed Generators (DG) to the power supply system can provide convenience for users in power supply, and can play a certain role in promoting the development of the power grid industry. With the gradual application of distributed energy grid-connected, some problems have gradually emerged: [0003] (1) Most renewable energy sources are limited by natural conditions such as weather and disasters, resulting in unstable outp...

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Problems solved by technology

[0003] (1) Most renewable energy sources are limited by natural conditions such as weather and disasters, resulting in unstable output to the power system, and intermittent and fluctuating problems in the application process

[0004] (2) Distributed energy has the characteristics of many individuals, small capacity, and excessive dispersion. It is impossible to predict the regularity of grid load, which will bring about the balance of power supply and demand.

[0005] (3) The distributed energy power system must also consider grid operation issues such as unstable power output on the power generation side, complex operation on the power distribution side, and diversification of decision-making subjects on the user side.

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