Mixed-integer linear program (MILP);
power transmission system;
repair crews;
service restoration;
vehicle routing problem;
D O I:
暂无
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
Natural disasters impose significant threat to the electric grid and cause severe damages and blackouts. Presently, the power industry still relies on experiences to make recovery plans after natural disasters. In this paper, we study the repair and restoration of a transmission system. The problem consists of dispatching repair crews to fix damaged components and re-dispatching the available generators. The first step in our proposed approach is to locate central stations for the repair crews. This problem is solved by taking the location of the transmission lines and bus bars, and performing k-means to cluster all components and locating the central stations in the center of the clusters. The second step is to solve the developed MILP model with the objective of maximizing the picked-up loads. The model combines the DC optimal power flow (DCOPF) problem with the vehicle routing problem (VRP). The proposed model is tested on a modified IEEE 57-bus transmission system. The simulation results demonstrate the effectiveness of the co-optimization approach.
机构:
School of Electrical Engineering, Southeast University
State Grid Electric Power Research Institute (NARI Group Corporation)School of Electrical Engineering, Southeast University
Ze Li
Yusheng Xue
论文数: 0引用数: 0
h-index: 0
机构:
State Grid Electric Power Research Institute (NARI Group Corporation)
State Key Laboratory of Smart Grid Protection and Operation ControlSchool of Electrical Engineering, Southeast University
Yusheng Xue
Haohao Wang
论文数: 0引用数: 0
h-index: 0
机构:
State Grid Electric Power Research Institute (NARI Group Corporation)
State Key Laboratory of Smart Grid Protection and Operation ControlSchool of Electrical Engineering, Southeast University
Haohao Wang
Lili Hao
论文数: 0引用数: 0
h-index: 0
机构:
the School of Electrical Engineering and Control Science, Nanjing Tech UniversitySchool of Electrical Engineering, Southeast University
机构:
Southeast Univ, Sch Elect Engn, Nanjing, Peoples R China
NARI Grp Corp, State Grid Elect Power Res Inst, Nanjing, Peoples R ChinaSoutheast Univ, Sch Elect Engn, Nanjing, Peoples R China
Li, Ze
Xue, Yusheng
论文数: 0引用数: 0
h-index: 0
机构:
NARI Grp Corp, State Grid Elect Power Res Inst, Nanjing, Peoples R China
State Key Lab Smart Grid Protect & Operat Control, Nanjing, Peoples R ChinaSoutheast Univ, Sch Elect Engn, Nanjing, Peoples R China
Xue, Yusheng
Wang, Haohao
论文数: 0引用数: 0
h-index: 0
机构:
NARI Grp Corp, State Grid Elect Power Res Inst, Nanjing, Peoples R China
State Key Lab Smart Grid Protect & Operat Control, Nanjing, Peoples R ChinaSoutheast Univ, Sch Elect Engn, Nanjing, Peoples R China
Wang, Haohao
Hao, Lili
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Tech Univ, Sch Elect Engn & Control Sci, Nanjing, Peoples R ChinaSoutheast Univ, Sch Elect Engn, Nanjing, Peoples R China
机构:
Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R ChinaShandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China
Zhang, Gang
Zhang, Feng
论文数: 0引用数: 0
h-index: 0
机构:
Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R ChinaShandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China
Zhang, Feng
Zhang, Xin
论文数: 0引用数: 0
h-index: 0
机构:
Cranfield Univ, Sch Water Energy & Environm, Energy & Power Theme, Cranfield MK43 0AL, Beds, EnglandShandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China
Zhang, Xin
Meng, Ke
论文数: 0引用数: 0
h-index: 0
机构:
Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, AustraliaShandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China
Meng, Ke
Dong, Zhao Yang
论文数: 0引用数: 0
h-index: 0
机构:
Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, AustraliaShandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China