Intelligent microgrid source-load collaborative optimization dispatching for spot market bidding: research on trading strategies based on improved multiobjective particle swarm optimization algorithm

Ye Li, Lu Xie, Qiang Xiao, Fan Ye, Feng Yang

Abstract

In the environment of the electricity spot market, microgrids' participation in bidding faces challenges such as high uncertainty between power sources and loads, significant multi-objective conflicts, and poor convergence of traditional optimization algorithms, making it difficult to achieve the coordinated optimization of economy and security. To this end, this paper proposes an intelligent microgrid source-load collaborative optimization dispatching strategy for spot market bidding from two aspects: source-load collaborative multi-objective optimization modeling for spot market bidding and the design of the trading strategy implementation plan based on the improved MOPSO. The test results show that the proposed strategy outperforms the traditional solutions in terms of enhancing comprehensive benefits, reducing carbon emissions and strengthening the capacity for absorbing new energy, and has practical value.

Source: semanticscholar

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