A new hybrid multi-objective quick service restoration technique for electric power distribution systems

被引:28
|
作者
Manjunath, K. [1 ]
Mohan, M. R.
机构
[1] St Josephs Coll Engn, EEE Dept, Madras 600119, Tamil Nadu, India
[2] Anna Univ, Dept Elect & Elect Engn, Madras 600025, Tamil Nadu, India
关键词
service restoration; preemptive method; genetic algorithm; network reconfiguration; radial power flow; electric power distribution systems;
D O I
10.1016/j.ijepes.2005.12.012
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a New Hybrid Multi-Objective Quick Service restoration (QSR) technique for Electrical Power Distribution Systems (EPDS). The main features of this new technique includes the development New Network Connectivity Method, objective function formulation with the consideration of various constraints in addition to the Priority Based Load Constraints and the incorporation of Service Restoration Time Estimation which helps the Electrical Power Distribution Engineers (EPDE) to restore the supply in minimum time. In order to satisfy various operational constraints while restoring the power supply to the consumer localities, the capacity of Transformer/Feeders in the post fault distribution network creates a serious problem to the EPDE and Distribution System Substation Operators (DSSO). Hence, the Electric Power Service Restoration Problem (EPSRP) becomes a nonlinear, combinatorial, non-differential and multi-objective optimization problem with several constraints. The solution to this multi-objective optimization problem has been obtained using a New Hybrid Method. A Computer program has been developed to solve this EPSRP. The validity of this new approach bas been tested on the various EPDS viz., 12-Bus, 15-Bus, 16-Bus, 26-Bus, 29-Bus, 33-Bus, 69-Bus, 79-Bus and 133-Bus systems. The fast and effective convergence of this approach helps to find the Optimal Operating Condition for the QSR of EPDS. The results reveal that it is a highly suitable technique for use in Service Restoration Procedures of Distribution Automation Systems (DAS). (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:51 / 64
页数:14
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