Enhancement of distribution system performance with reconfiguration, distributed generation and capacitor bank deployment

被引:5
作者
Jayabarathi, T. [1 ]
Raghunathan, T. [1 ]
Mithulananthan, N. [2 ]
Cherukuri, S. H. C. [3 ,4 ]
Sai, G. Loknath [1 ]
机构
[1] Vellore Inst Technol, Sch Elect Engn, Vellore, India
[2] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Australia
[3] Marelli India Pvt Ltd, Bangalore, India
[4] Indian Inst Technol, Power Syst & Smart Grid Lab, Gandhinagar, India
关键词
Distributed generation; Optimal reconfiguration; Capacitor placement; Metaheuristic optimization; DISTRIBUTION NETWORK RECONFIGURATION; POWER LOSS MINIMIZATION; LOSS REDUCTION; MULTIOBJECTIVE OPTIMIZATION; SIMULTANEOUS PLACEMENT; OPTIMAL ALLOCATION; PROGRAMMING METHOD; GENETIC ALGORITHM; SHUNT CAPACITORS; DG ALLOCATION;
D O I
10.1016/j.heliyon.2024.e26343
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper presents a comparative study of optimal reconfiguration, distributed generation, and shunt capacitor bank deployment for power loss minimization and voltage profile improvement in distribution systems. A metaheuristic approach based on the grey wolf optimizer (GWO) algorithm has been proposed for solving this high-dimensional, nonlinear, constrained, combinatorial optimization problem. Two standard IEEE 33- and 69-bus radial distribution systems (RDSs), and a practical 83-bus RDS of Taiwan Power Company have been considered for this study. The solutions obtained are compared with one another and those in the recent literature which includes classical and non-classical, metaheuristic-based methods. Going further, the little-studied problem of simultaneous reconfiguration, distributed generation, and capacitor bank deployment has been solved. The results suggest that the GWO has excellent potential for solving complicated optimization problems in distribution systems and elsewhere.
引用
收藏
页数:16
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