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Tao W.W., Zhang, H.B. and Ding, J.Y. (2010) Design of Multi-Level Synthetical Intelligent Decision-Making Support System for Secure Operation of Large-Scale Regional Power Network. Power System Technology, 34, 80-86.

has been cited by the following article:

• TITLE: Optimal Resources Dispatching Technology of Distribution Network Rush-Repairing

  AUTHORS: Chao Zhang, Xinhe Chen, Xing Xiong, Jing Zhou, Wenbin Zhang

  KEYWORDS: Distribution Network; Rush-Repairing; Multi-Objective and Multi-Resource Dispatching; Proximity Degree Method

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.2 No.4, April 22, 2014

  ABSTRACT: Confronted with the requirement of higher efficiency and higher quality of distribution network fault rush-repair, the subject addressed in this paper is the optimal resource dispatching issue of the distribution network rush-repair when single resource center cannot meet the emergent resource demands. A multi-resource and multi-center dispatching model is established with the objective of “the shortest repair start-time” and “the least number of the repair centers”. The optimal and worst solutions of each objective are both obtained, and a “proximity degree method” is used to calculate the optimal resource dispatching plan. The feasibility of the proposed algorithm is illustrated by an example of a distribution network fault. The proposed method provides a practical technique for efficiency improvement of fault rush-repair work of distribution network, and thus mostly abbreviates power recovery time and improves the management level of the distribution network.