浙江电力

2025, v.44;No.350(06) 58-68

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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 integration based on SAO-NSGA-Ⅱ algorithm

奚洪磊,孙景钌,瞿合祚,施正钗,胡长洪,刘津源
XI Honglei,SUN Jingliao,QU Hezuo,SHI Zhengchai,HU Changhong,LIU Jinyuan

摘要(Abstract):

针对海岛微电网弃光率高、柴油发电机频繁启停等情况导致的微电网高碳排放问题,提出了基于SAO-NSGA-Ⅱ(雪消融优化器-非支配排序遗传-Ⅱ算法)的海岛微电网电氢碳协同优化调度策略。首先,建立计及电解制氢系统和碳交易机制的海岛微电网电氢碳多目标协同优化调度模型;然后,采用SAO改进NSGA-Ⅱ,并在不同迭代阶段选用不同的个体更新公式,尽量避免落入局部最优的同时兼顾算法迭代速度。最后,通过仿真算例,对比分析算法改进前后的求解结果,验证了所提改进算法和优化调度模型可行性。改进后算法全局搜索能力更强、收敛结果更好;所提优化策略实现了海岛微电网在经济性和碳排放成本的协同优化,提升了氢能系统的利用率。
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 optimal scheduling strategy for power-hydrogen-carbon integration based on the snow avalanche optimization-based nondominated 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 algorithm improvement is performed, validating the feasibility of the proposed improved algorithm and optimal scheduling 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 efficiency and carbon emission costs, while also improving the utilization of the hydrogen energy system.

关键词(KeyWords): SAO-NSGA-Ⅱ算法;电氢碳协同;优化调度;海岛微电网;碳排放成本
SAO-NSGA-Ⅱ;electricity-hydrogen-carbon synergy;optimal scheduling;island microgrid;carbon emission cost

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目(B311WZ23000C)

作者(Author): 奚洪磊,孙景钌,瞿合祚,施正钗,胡长洪,刘津源
XI Honglei,SUN Jingliao,QU Hezuo,SHI Zhengchai,HU Changhong,LIU Jinyuan

DOI: 10.19585/j.zjdl.202506006

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