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基于麻雀搜索算法的微电网分层优化调度

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为综合考虑微电网供给侧和需求侧的利益,建立了微电网分层优化模型;上层以净负荷成本和用电满意度为目标优化负荷曲线,下层以运行成本和环境成本为目标优化各单元出力,并选择麻雀搜索算法(SSA)求解这类复杂优化问题.针对SSA易陷入局部最优的问题,提出一种改进麻雀搜索算法(ISSA),改进了发现者搜索方式,引入了变异、贪婪策略;并且加入非支配排序和轮盘赌法将ISSA改进为多目标算法.算例结果表明可转移负荷占比为10%时能够协调微电网供需两侧的利益;对比ISSA与SSA、粒子群算法(PSO)、鸡群算法(CSO)和灰狼算法(GWO)的迭代结果,证明ISSA具有良好的寻优效果和稳定性.
Hierarchical Optimal Dispatch of Microgrid Based on the Sparrow Search Algorithm
To comprehensively consider the interests of the supply side and demand side of the microgrid,a hierarchical optimization model of the microgrid is established.The upper layer optimizes the load curve with the net load cost and electricity consumption satisfaction as the goal,and the lower layer optimizes the output of each unit with the operating cost and environmental cost as the goal.And the sparrow search algorithm(SSA)is selected to solve the complex optimization problem.Aiming at the problem that SSA is prone to fall into local optimum,an improved sparrow search algorithm(ISSA)is proposed which improves the finder search mode and adds the mutation and greedy strategies.And adding the non-dominant sorting and roulette method into ISSA to improve it to the multi-objective algorithm.The example results show that a 10%transferable load ratio can reconcile the microgrid's interests of both supply and demand sides.Comparing the iterative results of ISSA with SSA,particle swarm optimization,chicken swarm optimization,and grey wolf optimizer proves that ISSA has a good optimization effect and stability.

microgridsdemand responsehierarchical optimizationsparrow search algorithm(SSA)

吴成明、邢博洋、李世春

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三峡大学电气与新能源学院,湖北 宜昌 443002

新能源微电网湖北省协调创新中心(三峡大学),湖北 宜昌 443002

微电网 需求响应 分层优化 麻雀搜索算法(SSA)

国家自然科学基金

51907104

2024

南方电网技术
南方电网科学研究所有限责任公司

南方电网技术

CSTPCD北大核心
影响因子:1.42
ISSN:1674-0629
年,卷(期):2024.18(2)
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