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Author:

Ding, Xiao-Ying (Ding, Xiao-Ying.) | Wang, Jian-Xue (Wang, Jian-Xue.) | Wang, Xi-Fan (Wang, Xi-Fan.) | Liu, Lin (Liu, Lin.)

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Abstract:

The research of optimal power flow simulation in power systems finds that interior point cutting plane method (IPCPM) fails to solve the linear programming problem which has multiple solutions. A new general optimal base identification method was presented to solve the above problem by revolving and mapping the solution space, which could move the optimum along the edge of the feasible region to the vertex of solution space. Furthermore, two measures, stochastic disturbance method and ladder matrix method, were used to enhance the calculation efficiency of IPCPM. Simulation shows that the calculation time was saved by 20% in average. Simulation results of IEEE 14-300 buses test systems indicate that the improved algorithm can properly handle various types of optimal solutions and significantly enlarge the application field of IPCPM.

Keyword:

Calculation efficiency Identification method Interior-point cutting-plane methods Linear programming problem Optimal base Optimal power flows Power System Stochastic disturbances

Author Community:

  • [ 1 ] [Ding, Xiao-Ying;Wang, Jian-Xue;Wang, Xi-Fan;Liu, Lin]School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
  • [ 2 ] [Ding, Xiao-Ying]State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China

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Source :

Zhejiang Daxue Xuebao(Gongxue Ban)/Journal of Zhejiang University (Engineering Science)

ISSN: 1008-973X

Year: 2010

Issue: 4

Volume: 44

Page: 771-777

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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