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中南大学学报(英文版)

Journal of Central South University

Vol. 25    No. 3    March 2018

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A compound objective reconfiguration of distribution networks using hierarchical encoded particle swarm optimization
WEN Juan(文娟)1, 2, TAN Yang-hong(谭阳红)1, JIANG Lin(蒋林)2, XU Zu-hua(徐祖华)2

1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; 2. College of Electrical Engineering, University of South China, Hengyang 421000, China

Abstract:With the development of automation in smart grids, network reconfiguration is becoming a feasible approach for improving the operation of distribution systems. A novel reconfiguration strategy was presented to get the optimal configuration of improving economy of the system, and then identifying the important nodes. In this strategy, the objectives increase the node importance degree and decrease the active power loss subjected to operational constraints. A compound objective function with weight coefficients is formulated to balance the conflict of the objectives. Then a novel quantum particle swarm optimization based on loop switches hierarchical encoded was employed to address the compound objective reconfiguration problem. Its main contribution is the presentation of the hierarchical encoded scheme which is used to generate the population swarm particles of representing only radial connected solutions. Because the candidate solutions are feasible, the search efficiency would improve dramatically during the optimization process without tedious topology verification. To validate the proposed strategy, simulations are carried out on the test systems. The results are compared with other techniques in order to evaluate the performance of the proposed method.

 

Key words: distribution network reconfiguration; node importance degree; compound objective function; hierarchical encoded

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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