Micro-grid energy management system distributed optimization algorithm based on potential game

Abstract

The invention discloses a micro-grid energy management system distributed optimization algorithm based on potential game. The micro-grid energy management system distributed optimization algorithm includes: firstly, performing game mapping modeling based on micro-grid individuals, mapping the individuals (micro-power supplies) as players, using the revenue function of each player as the economic income or operation cost of the corresponding individual, and converting different constraint conditions of the individuals into strategy spaces with a united form; secondly, providing a potential function through a summation manner, and building a potential game model to guarantee game convergence; thirdly, using a distributed manner to perform optimization solution. The micro-grid energy management system distributed optimization algorithm has the advantages that the revenue models are built for the heterogeneous micro-grid individuals from the perspective of economy, the complex individual constraint conditions are converted into the strategy spaces of the players, individuals are unified from the perspective of game so as to build the potential game model, and the autonomy and intelligence of the micro-grid individuals are fully reflected by using the distributed manner to perform optimization solution.

Description

technical field [0001] The invention relates to the technical field of microgrid operation, simulation, analysis and scheduling, in particular to a distributed optimization algorithm for a microgrid energy management system based on potential game. Background technique [0002] The energy crisis and environmental problems are becoming more and more serious. The local development and distributed utilization of new energy has become an important way for governments to save energy, reduce emissions, and develop green energy. Microgrid is the best bridge between distributed power and large power grid. Compared with the large power grid, the microgrid "multiple energy inputs (wind, light, natural gas, etc.), multiple product outputs (electricity, heat, cold), multiple conversion units (light / electricity, heat / electricity, wind / electricity) , DC / AC), multiple operating states (grid-connected / isolated)" (Wang Chengshan, Wu Zhen, Li Peng. Research on key technologies of microgrids ...

AI Technical Summary

Problems solved by technology

According to these studies, 1) the traditional optimization algorithm is very dependent on the model, and the modeling is limited; 2) the centralized intelligent algorithm is difficult to reflect the individual's demand for autonomy; 3) compared with the previous two method, the introduction of game theory has improved the individual autonomy and intelligence of the microgrid to a certain extent, but most of the introduction of game theory faces a common problem - it is necessary to prove the existence of the game equilibrium solution, which greatly limits the application of game theory. Applications in Microgrids

At the same time, considering the individual self-interest and intelligence that microgrid individuals will have in the new situation of energy Internet development in the future, the optimal operation of microgrid energy management systems faces new challenges.

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