A coordinated planning framework of electric power distribution system: Intelligent reconfiguration

被引:16
作者
Kumar, Deepak [1 ]
Singh, Akansha [1 ]
Mishra, Sudhansu Kumar [1 ]
Jha, Rakesh Chandra [1 ]
Samantaray, Subhransu Ranjan [2 ]
机构
[1] Birla Inst Technol, Elect & Elect Engn Dept, Ranchi 835215, Jharkhand, India
[2] Indian Inst Technol Bhubaneswar, Sch Elect Sci, Bhubaneswar 751013, Odisha, India
来源
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2018年 / 28卷 / 06期
关键词
bit-shift operator; distributed generation; load flow; particle-swarm optimization; reconfiguration; DISTRIBUTION FEEDER RECONFIGURATION; SEEKER-OPTIMIZATION-ALGORITHM; NETWORK RECONFIGURATION; LOSS REDUCTION; GENETIC ALGORITHM; DESIGN;
D O I
10.1002/etep.2543
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 has proposed a comprehensive coordinated planning framework for solving the network reconfiguration with simultaneous installation of distribution generation (DG) units, with an objective of minimizing the feeder power loss and boosting the voltage profile of the electric distribution system. A meta-heuristic bit-shift operator-based particle-swarm-optimization (PSO) technique has been used for simultaneous reconfiguration with the optimal siting and sizing of the DG units. The bit-shift operator-based PSO has been obtained by incorporating a shift operator in the velocity equation of the basic PSO, such that the problem moves in the direction of finding the best optimal reconfigured system. The entire problem has been investigated in the light of both voltage independent and dependent loads, such as residential, industrial, and commercial, to evaluate the performance of the proposed work in a practical scenario. A sensitivity analysis has been applied for finding the optimal location for the DG placement. The efficacy and validation of the proposed method have been tested on a standard IEEE test system under 4 different load models for 5 different cases.
引用
收藏
页数:20
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