南方电网技术2025，Vol.19Issue(3)：153-162,10.DOI:10.13648/j.cnki.issn1674-0629.2025.03.014
计及短路电流约束的机组组合与支路投切联合优化启发式分解算法
Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints
摘要
Abstract
In the optimization of unit commitment,it can provide a safer and more economical system operation scheme considering short-circuit current constraints and branch switching.However,its solution faces challenges due to the large scale of the problems.A heuristic decomposition algorithm is proposed based on analytical target cascade and large neighborhood search.First of all,the joint optimization model of unit commitment and branch switching incorporating short-circuit current constraints is established and hence it is transformed into a mixed integer linear programming model with a separable structure.Then,the analytical target cascade method is used to decompose the converted model into upper level coordination master problem,lower level integer programming and linear programming subproblems.Moreover,the large neighborhood search is introduced in solving the lower level subproblems.Finally,the simulations on IEEE 118-bus and 54-unit systems and an actual power system show that the proposed algorithm can quickly converge to feasible solutions,whereas not affecting solution quality.关键词
机组组合/支路投切/短路电流约束/混合整数线性规划/大规模邻域搜索/目标级联分析Key words
unit commitment/branch switching/short-circuit current constrains/mixed integer linear programming/large neighbor-hood search/analytical target cascade分类
动力与电气工程引用本文复制引用
徐良德,吴楚钦,郭挺,刘明波,胡林麟,林舜江,陈中豪,李诗颖..计及短路电流约束的机组组合与支路投切联合优化启发式分解算法[J].南方电网技术,2025,19(3):153-162,10.基金项目
国家自然科学基金资助项目(52077083) （52077083）
中国南方电网有限责任公司科技项目(GZHKJXM20210047).Supported by the Natural Science Foundation of China(52077083) （GZHKJXM20210047）
the Science and Technology Project of China Southern Power Grid Co.,Ltd.(GZHKJXM20210047). （GZHKJXM20210047）
