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基于改进樽海鞘算法的微电网优化调度运行

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微电网系统中包括多种微电源,需要满足大量的约束条件,传统的优化算法求解易陷入局部最优,难以得到最优解.针对此类问题,提出一种多策略协同优化樽海鞘算法(MSS-SA),在同时考虑运行与环境污染的情况下,以综合成本为目标函数,设定功率平衡、爬坡率、联络线交互功率极值等约束条件,然后利用MSSSA对微电网调度模型进行求解.通过对比仿真结果,验证了MSSSA较其他算法的优越性和对微电网系统优化的合理性.
Optimized Dispatching Operation of Microgrid Based on Multi-strategy Collaborative Salps Swarm Algorithm
Micro-grid system includes a variety of micro-power sources,which need to meet a large number of constraints.The traditional optimization algorithm is easy to fall into local optimum,and it is difficult to obtain the optimal solution.Aiming at such problems,a multi-strategy collaborative optimization salps swarmalgorithm(MSSSA)is proposed.Considering the operation and environmental pollution at the same time,the comprehensive cost is taken as the objective function,and the constraints such as power balance,climbing rate and extreme value of tie-line interaction power are set.Then MSSSA is used to solve the microgrid scheduling model.Compared with the simulation results,the superiority of MSSSA over other algorithms and the rationality of microgrid system optimization are verified.

MicrogridOptimal schedulingSalpsswarm algorithmChaotic mappingReverse learning

王壮、杨弘平、尹常永

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沈阳工程学院电力学院,辽宁 沈阳 110136

沈阳工程学院信息学院,辽宁 沈阳 110136

微电网 优化调度 樽海鞘算法 混沌映射 反向学习策略

2024

沈阳工程学院学报(自然科学版)
沈阳工程学院

沈阳工程学院学报(自然科学版)

影响因子:0.467
ISSN:1673-1603
年,卷(期):2024.20(1)
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