4.6 Article

Mixed-Integer Linear Programming-Based Splitting Strategies for Power System Islanding Operation Considering Network Connectivity

期刊

IEEE SYSTEMS JOURNAL
卷 12, 期 1, 页码 350-359

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2015.2493880

关键词

Graph theory; mixed-integer linear programming (MILP); multiple optimal solutions (MOSs); network connectivity; partition problem; system splitting

资金

  1. National Natural Science Foundation of China [51577147]
  2. Fundamental Research Funds for the Central Universities
  3. State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University [EIPE14106]
  4. Shared Facilities and the Industry Partnership Program under CURENT, an Engineering Research Center of the National Science Foundation (NSF)
  5. U.S. Department of Energy under NSF [EEC-1041877]

向作者/读者索取更多资源

An efficient splitting strategy is important for the islanding operation of power systems. In this paper, a mixed-integer linear programming (MILP)-based splitting method is proposed. First, the graph theory is employed to transform the splitting problem into a graph partition problem. Then, the graph partition problem is modeled as an MILP optimization problem with consideration to the network connectivity of all subgraphs. The MILP-based splitting strategy can be efficiently computed with existing commercial solvers, and the multiple optimal solutions can be captured with the recursive process. Compared with the splitting methods in the literature, the proposed method is more flexible and efficient, such that the users can select the optimal solution from multiple solutions with different interests and heuristic splitting rules (e.g., with the minimum amount of switched lines). Finally, the effectiveness of the proposed method has been verified with IEEE 30-, 118-, and 300-bus test systems.

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