摘要
如何在电网安全、低碳和经济成本之间协同以达到社会福利最大化,对我国提出的“双碳”战略目标有着重大影响。因此提出一种考虑自复性指标的弹性电网多目标优化计算方法,引入自复性指标的概念,用于多方面地评估电力系统的运行稳定程度。以自复性指标和系统运行成本作为两个独立优化目标进行优化计算,再结合Pareto优化理论,采用群搜索算法进行优化,实现弹性电网多属性协调运行。最后,通过对IEEE-30和IEEE-57系统两算例进行测试分析,以验证本研究方法的正确性和有效性。
How to coordinate between power grid safety,low carbon and economic costs to achieve the maximum social benefits has a great impact on the"double carbon"strategic goal put forward by China government.Therefore,a multi-objective optimization method for elastic power grid considering resilience index was proposed,and the concept of resilience index was introduced,which was used to evaluate the operation stability of the power system in multi-aspects.With resilience index and system operation cost as two independent objectives for optimization calculation,combine with Pareto optimization theory,group search algorithm was adopt to realize the multi-attribute coordination operation of the elastic power grid.Finally,the simulation analysis was conducted on the IEEE-30 and IEEE-57 test systems to verify the correctness and effectiveness of the proposed method.
作者
孙可
王蕾
杨翾
翁华
孙轶恺
郑杰辉
SUN Ke;WANG Lei;YANG Xuan;WENG Hua;SUN Yikai;ZHENG Jiehui(State Grid Zhejiang Economy Research Institute,Hangzhou 310001,Zhejiang,China;State Grid Hangzhou Power Supply Company,Hangzhou 310000,Zhejiang,China;Zhejiang Huayun Electric Power Engineering Design Consulting Co.,Ltd.,Hangzhou 310000,Zhejiang,China;School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,Guangdong,China)
出处
《电气传动》
2023年第6期62-69,共8页
Electric Drive
关键词
弹性电网
自复性指标
群搜索算法
多目标优化
elastic power grid
resilience index
group search optimizer(GSO)
multi-objective optimization
