Optimum recloser-fuse coordination for radial distribution systems in the presence of multiple distributed generations

被引:18
作者
Alam, Mahamad Nabab [1 ]
Das, Biswarup [1 ]
Pant, Vinay [1 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Roorkee 247667, Uttar Pradesh, India
关键词
distributed power generation; electric fuses; distribution networks; fault current limiters; quadratic programming; particle swarm optimisation; search problems; genetic algorithms; circuit breakers; optimum recloser scheme; radial distribution system; distributed generation; fuse coordination scheme; DG; optimisation problem; interior point method; IPM; fault current limiter; FCL; IEEE 33-bus system; modular in-core nonlinear optimisation system; sequential quadratic programming; harmony search; genetic algorithm; differential evolution technique; NETWORK RECONFIGURATION; RELAYING SCHEME; MISCOORDINATION;
D O I
10.1049/iet-gtd.2017.1532
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
In this paper, an optimum recloser and fuse coordination scheme is proposed in the presence of multiple distributed generators (DGs) in a radial distribution network. The proposed approach formulates the recloser and fuse coordination problem as an optimisation problem and applies interior point method (IPM) to solve this optimisation problem for obtaining the optimum recloser and fuse settings. The proposed scheme gives a single set of the recloser and fuse settings which is robust enough to be able to coordinate the operations of the recloser and fuses properly without and in the presence of single/multiple DGs in the system. The effect of fault current limiter (FCL) on recloser-fuse coordination has also been studied. The proposed approach has been tested on IEEE 33-bus system for three different scenarios: (i) no DG in the system, (ii) a single DG in the system, and (iii) multiple DGs in the system. Further, the optimum results obtained by IPM have been validated by comparing them with those obtained by modular in-core non-linear optimisation system solver, sequential quadratic programming, particle swarm optimisation, harmony search, genetic algorithm, and differential evolution techniques. The test results prove the robustness and effectiveness of the presented scheme.
引用
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页码:2585 / 2594
页数:10
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