Optimal configuration method and system for multi-agent investment multi-microgrid system

Abstract

The invention provides an optimal configuration method for a multi-main-body investment multi-microgrid system. The method comprises the following steps: S1, constructing an annual payment function of the multi-microgrid system and a revenue function of a power distribution network system; S2, constructing a master-slave game model; S3, according to the historical data of the energy storage quantity, giving the initialized distributed power supply quantity and the initialized energy storage quantity of the game main body multi-microgrid system, and inputting basic data such as load and the like; S4, executing an adaptive genetic algorithm according to constraint conditions of a coordination network system, and calculating and modifying the source storage quantity of the targets meeting the game slave body; S5, according to the modified source storage quantity and the constraint condition of the multi-microgrid system, executing a particle swarm algorithm to solve the source storage quantity meeting the target of the game main body; S6, iterating step S4 and step S5 until the Stackelberg-Nash equilibrium condition is met; and S7, outputting the final source storage quantity. The invention further provides an optimal configuration system of the multi-main-body investment multi-microgrid system.

Description

technical field [0001] The invention relates to an optimal configuration method and system for a multi-subject investment multi-microgrid system. Background technique [0002] Under the background of the "carbon peak, carbon neutral" strategy, the number of microgrids is increasing. There may be multiple microgrids (MG) in a certain area, and the types and quantities of distributed energy in different microgrids are different. If a multi-microgrid system is formed and energy transmission is performed between microgrids, it will not only reduce the number of microgrids The dependence of the grid system on the distribution network can enhance the reliability of the grid power supply, and can also promote the local consumption of distributed energy and improve the economic benefits of the multi-microgrid system. However, the construction cost of the multi-microgrid system with distributed power is high, and its grid connection will also affect the stability of the grid's stead...

AI Technical Summary

Problems solved by technology

However, the construction cost of the multi-microgrid system with distributed power is high, and its grid connection will also affect the stability of the steady-state power flow and energy flow of the grid.

[0003] At present, for the problem of optimal configuration of multi-microgrid system, it is mainly to use single-agent investment in micro-grid for optimal configuration, which cannot meet the actual situation of multi-agent investment in micro-grid

It also does not take into account the optimal configuration of multi-agent investment and multi-microgrid systems

At the same time, the existing research mainly focuses on constructing a game model to solve the conflict of interests between microgrids in the multi-microgrid system, and does not take into account the interest game among multiple investment entities in the multi-microgrid system, especially the distribution network. Therefore, It is often not the final optimal configuration, so the conflict of interests between the microgrid and the distribution network cannot be effectively balanced

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