A Novel MOWSO algorithm for Microgrid multi-objective optimal dispatch

This article introduces a novel metaheuristic multi-objective optimization algorithm to address the complex multi-objective optimization scheduling challenges of the microgrids for the first time. Comparing with common multi-objective optimization algorithms, the proposed Multi-Objective War Strategy Optimization (MOWSO) has the following highlights: 1) MOWSO only needs to set three parameters. The few parameters make the algorithm simple to debug and real-world implement in practical applications. 2) MOWSO avoids the local centralized distribution of Pareto frontier based on a random selection strategy. The selection range of multiple objectives is expanded properly. In addition, a comprehensive multi-objective optimization dispatch model for microgrids is established, concurrently considering operating costs, carbon emissions, and power fluctuations. Furthermore, the impact of new energy proportion and Energy Storage (ES) on microgrid optimal dispatch is thoroughly investigated. Finally, a case study about a village microgrid in North China is presented to validate the effectiveness and the superiority of proposed multi-objective optimization dispatch model and novel MOWSO algorithm.