AC/DC (alternating current/direct current) hybrid micro-grid optimizing method in account of system energy fluctuation

Abstract

The invention provides an AC / DC (alternating current / direct current) hybrid micro-grid optimizing method in account of system energy fluctuation, aims to solve the problem that an AC / DC hybrid micro-grid has complicated regional electricity interaction and has high requirement for safety stability of system operation. An AC / DC hybrid micro-grid double-layer robust optimization model with the lowest total system operating cost and the highest reserve capacity as upper and lower layer targets is established, wherein the requirement for reserve capacity under the worst operating condition of a system is replaced with the sum of the maximum load fluctuation; optimization of the double-layer robust optimization model is solved with a particle swarm optimization algorithm improved by a cloud model and a reverse learning machine, and the problems that system fluctuation research of the hybrid micro-grid is complicated and diversity of particles in the late stage of algorithm convergence is reduced can be effectively solved. The AC / DC hybrid micro-grid based on intermittent energy such as wind, light and the like is taken as an embodiment for analysis. The micro-grid has higher anti-interference capability while realizing economic efficiency, so that the safety problem caused by system energy fluctuation is effectively solved.

Description

technical field [0001] The invention relates to the field of AC-DC hybrid micro-grid optimization, in particular to an AC-DC hybrid micro-grid optimization method taking into account system energy fluctuations. Background technique [0002] In recent years, with the introduction of the concept of Energy Internet, on the basis of safe energy access and efficient consumption, the coordinated dispatch of energy "source-network-load-storage" shared by multiple complex networks such as power networks and natural gas networks has been realized. has become a research hotspot. As a micro-power generation and distribution system that can manage and supply micro-sources in a network, the micro-grid has become an important intelligent platform connecting my country's energy and the Internet. However, with the increasing number of micro-sources connected, the AC-DC conversion link in the traditional AC micro-grid is becoming more and more complicated. Therefore, the concept of AC-DC hy...

AI Technical Summary

Problems solved by technology

This method uses the improved particle swarm algorithm based on the cloud model and reverse learning mechanism to solve the hybrid microgrid, which effectively solves the problem of complex volatility research of the hybrid microgrid system and the reduction of particle diversity in the later stage of algorithm convergence.

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