Study on Oilfield Distribution Network Reconfiguration with Distributed Generation

Author(s): Fan Zhanga*, Yuexi Zhanga, Xiaoni Xina, Lu Zhangb, Li Fana
a Changqing Water and Power Supply Department, Xi’an 710201,China
b Changqing Meterial and Equipment Supply Department, Xi’an710018, China
International Journal of Smart Grid and Clean Energy, vol. 1, no. 1, September 2012: pp. 135–141
ISSN: 2315-4462
Digital Object Identifier: 10.12720/sgce.1.1.135-141 

Abstract: Distributed generation (DG) based on oilfield associated gas has the characteristics of dispersive and small capacity. According to load control type, DG is treated as PQ point in power flow calculation. A distribution network reconfiguration algorithm based on simulated annealing and immune is proposed in this paper. Boltzmann simulated annealing operator is used in selection operation, and method of immune vaccine is adopted also, both the diversity and convergence performance of population are improved. Based on the traits of infeasible solutions in evolution, a method of public switches matrix of loops is used to avoid the infeasible solutions and searching space is compressed effectively. The tested system shows the advantages of given method, and great benefits can be obtained in oilfield application.

Keywords: Distributed generation; distribution network reconfiguration; infeasible solution; simulated annealing; immune vaccine

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