节点文献
基于改进苔藓算法的多场景微电网优化调度研究
Research on Multi Scenario Microgrid Optimization Scheduling based on Improved Moss Algorithm
【摘要】 提出一种改进苔藓算法(Zylsh The Moss Growth Optimization,ZYMGO),构建微电网优化调度对比模型,获得最优微电网季节性优化调度策略.算法结合微电网中各发电单元的发电特性和季节性影响因素,构建微电网优化调度对比模型.算例分析表明,根据ZYMGO算法提出的微电网季节性优化调度策略,可显著降低微电网运行成本.
【Abstract】 Propose an improved moss algorithm(Zylsh The Moss Growth Optimization,ZYMGO),construct a comparative model for microgrid optimization scheduling,and obtain the optimal seasonal optimization scheduling strategy for microgrids.The algorithm combines the generation characteristics and seasonal influencing factors of each power generation unit in the microgrid to construct a comparative model for microgrid optimization scheduling.The case analysis shows that the seasonal optimization scheduling strategy for microgrids proposed by the ZYMGO algorithm can significantly reduce the operating costs of microgrids.
【Key words】 microgrid; optimize scheduling; improving moss optimization algorithm;
- 【文献出处】 牡丹江师范学院学报(自然科学版) ,Journal of Mudanjiang Normal University(Natural Sciences Edition) , 编辑部邮箱 ,2025年04期
- 【分类号】TM73;TP18
- 【下载频次】85