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作 者:陈将宏 时康昊 胡佳慧 赵小涵 Chen Jianghong;Shi Kanghao;Hu Jiahui;Zhao Xiaohan(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China)
机构地区:[1]三峡大学电气与新能源学院,湖北宜昌443002
出 处:《系统仿真学报》2025年第3期623-634,共12页Journal of System Simulation
基 金:国家自然科学基金面上项目(62371271)。
摘 要:为了增强微电网抵抗极端灾害事件的能力,基于传统的电力系统弹性和可靠性概念,提出了一种考虑弹性恢复和经济性的多目标调度模型,并将弹性恢复力具体量化。基于传统的微电网经济调度下,将储能量加入目标函数,在约束条件中加入可靠性指标,通过多策略改进的白鲨算法和多目标模糊规划求解该优化问题,为各个目标函数设置不同的权重并通过算例平衡分析最优权重,得到了兼具经济性和弹性恢复力的微电网调度方案。仿真算例表明,该方法可以按照不同的电网责任来分配合适的权重系数,得到兼具弹性恢复力和经济性的电网系统。To enhance the ability of microgrids(MGs)to withstand extreme disaster events,this paper proposes a multi-objective scheduling model considering resilience restoration and economic performance,based on the traditional concepts of power system resilience and reliability Resilience is specifically quantified.The model integrates energy storage into the objective function and includes reliability indicators as constraints,building on traditional microgrid economic dispatch.The optimization problem is solved using an improved white shark optimizer(WSO)and multi-objective fuzzy programming,where diferent weights are assigned to each objective function,and the optimal weights are determined through case studies.A microgrid scheduling scheme with both economic performance and resilience is obtained.Simulation results demonstrate that this method can allocate appropriate weight coefficients according to various grid responsibilities,achieving a grid system with both resilience and economic performance.
分 类 号:TP319.9[自动化与计算机技术—计算机软件与理论]
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