Multi-objective Optimization Scheduling of Microgrid Based on Multi-agent System

doi:10.12096/j.2096-4528.pgt.19056

Abstract

Abstract:

Multi-objective stable operation of microgrid under grid-connected condition is the basic requirement of microgrid operation and construction. Starting from the economic and environmental goals of grid-connected microgrid, a multi-objective optimization model of microgrid was established. The economic objectives considered the fuel cost, operating and maintenance cost, start-stop cost of distributed generation and energy interaction cost between microgrid and large grid. The environmental target considered emissions of polluted gases. A scheduling strategy of energy storage device based on multi-agent system (MAS) under time-of-use price mechanism was proposed, and an improved NSGA-Ⅱ algorithm was used to optimize the output of the controllable micropower supply and energy storage device. Taking the microgrid unit in a certain area as an example, the effectiveness of the proposed model and the solution method were verified. The experimental results show that the improved NSGA-Ⅱ algorithm has better performance, and the proposed strategy can control the number of charges and discharges in a cycle of energy storage device and prolong its service life.

Key words: microgrid, multi-agent system (MAS), optimized scheduling, time-of-use price, improved NSGA-Ⅱ algorithm

Hui ZHU,Hongfang LÜ,Xiaoming YANG. Multi-objective Optimization Scheduling of Microgrid Based on Multi-agent System[J]. Power Generation Technology, 2019, 40(6): 527-534.

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