南方电网技术2025，Vol.19Issue(5)：155-163,9.DOI:10.13648/j.cnki.issn1674-0629.2025.05.016
超高压电网反时限零序电流保护定值二次型优化方法
Quadratic Optimization Method of Inverse-Time Zero-Sequence Overcurrent Relay Settings in Extra-High Voltage Power Grid
摘要
Abstract
Because of its superior characteristics,inverse-time zero-sequence overcurrent relays have been put into use in more and more areas.Many scholars propose to set its setting value through optimization method.However,the commonly used protection set-ting optimization algorithms often suffer from complex and time-consuming iterative processes,as well as unstable results,and there is still room for further optimization.Therefore,a quadratic optimization method of inverse-time zero-sequence overcurrent relay set-tings in extra-high voltage power grid is proposed.Firstly,the inverse-time zero-sequence overcurrent relay setting optimization model is established.When the time setting value Tp is certain,the relationship between action time t and the starting current Ip is analyzed,and then the linear fitting is carried out to transform the complex nonlinear non-convex optimization model that is difficult to optimize into a quadratic objective quadratic constraint model.Then,based on the MATLAB software platform,the problem is modeled according to the modeling tool YALMIP,and the optimization solving tool Gurobi is used to solve it.Finally,the IEEE 39-bus system is taken as an example to verify that the proposed method is effective and superior.关键词
超高压电网/反时限零序电流保护/线性拟合/二次型优化Key words
extra-high voltage power grid/inverse-time zero-sequence overcurrent relay/linear fitting/quadratic optimization分类
信息技术与安全科学引用本文复制引用
王峰,朱佳,焦邵麟,毕兆东..超高压电网反时限零序电流保护定值二次型优化方法[J].南方电网技术,2025,19(5):155-163,9.基金项目
国家自然科学基金资助项目(51677073) （51677073）
中国南方电网有限责任公司科技项目(036000KK52210063(GDKJXM20210094)).Supported by the National Natural Science Foundation of China(51677073) （036000KK52210063(GDKJXM20210094）
the Science and Technology Project of China Southern Power Grid Co.,Ltd.(036000KK52210063(GDKJXM20210094)). （036000KK52210063(GDKJXM20210094）
