浙江电力2025，Vol.44Issue(6)：58-68,11.DOI:10.19585/j.zjdl.202506006
基于SAO-NSGA-Ⅱ算法的海岛微电网电氢碳协同优化调度
Coordinated optimal scheduling of island microgrid for power-hydrogen-carbon inte-gration based on SAO-NSGA-Ⅱ algorithm
摘要
Abstract
In response to the high curtailment rate of solar energy and the frequent startup and shutoff operations of diesel generators,which lead to high carbon emissions in island microgrids,this paper proposes a coordinated opti-mal scheduling strategy for power-hydrogen-carbon integration based on the snow avalanche optimization-based non-dominated sorting genetic algorithm Ⅱ(SAO-NSGA-Ⅱ).First,a multi-objective coordinated optimal scheduling model for power-hydrogen-carbon integration in island microgrids is established,taking into account the electrolytic hydrogen production system and carbon trading mechanisms.Then,SAO is used to improve NSGA-Ⅱ,with different individual update formulas applied at different iteration stages to avoid local optima while maintaining the algorithm's iteration speed.Finally,through simulation examples,a comparative analysis of the results before and after the al-gorithm improvement is performed,validating the feasibility of the proposed improved algorithm and optimal sched-uling model.The improved algorithm demonstrates enhanced global search capability and better convergence results.The proposed optimal strategy achieves a coordinated optimization of the island microgrid,balancing economic effi-ciency and carbon emission costs,while also improving the utilization of the hydrogen energy system.关键词
SAO-NSGA-Ⅱ算法/电氢碳协同/优化调度/海岛微电网/碳排放成本Key words
SAO-NSGA-Ⅱ/electricity-hydrogen-carbon synergy/optimal scheduling/island microgrid/carbon emission cost引用本文复制引用
奚洪磊,孙景钌,瞿合祚,施正钗,胡长洪,刘津源..基于SAO-NSGA-Ⅱ算法的海岛微电网电氢碳协同优化调度[J].浙江电力,2025,44(6):58-68,11.基金项目
国网浙江省电力有限公司科技项目(B311WZ23000C) （B311WZ23000C）
