Simultaneous distribution system reconfiguration and DG sizing algorithm without load flow solution

被引:41
作者
Jasthi, Kiran [1 ]
Das, Debapriya [1 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Kharagpur 721302, W Bengal, India
关键词
power distribution planning; minimisation; simultaneous distribution system reconfiguration; DG sizing algorithm; distributed generation sizing algorithm; loss formula-based simultaneous reconfiguration; active power loss minimisation; heuristic technique; exact loss formula-based analytical approach; DG siting; 33-bus distribution system; 69-bus distribution system; 84-bus distribution system; 136-bus distribution system; initial voltage selection; active distribution network real-time operation; active distribution network real-time planning; multiobjective approach; weighted sum technique; DISTRIBUTION NETWORK RECONFIGURATION; HYBRID DIFFERENTIAL EVOLUTION; LOSS REDUCTION; LOSS MINIMIZATION; OPTIMIZATION ALGORITHM; FEEDER RECONFIGURATION; GENERATION SYSTEMS; SEARCH ALGORITHM; POWER LOSS; VOLTAGE;
D O I
10.1049/iet-gtd.2017.0338
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 study presents a loss formula-based simultaneous reconfiguration and distributed generation (DG) sizing algorithm for active power loss minimisation in distribution networks. A new heuristic technique based on the exact loss formula for reconfiguration is proposed. The exact loss formula-based analytical approach is used for DG sizing and siting. The proposed algorithm is tested on 33-, 69-, 84- and 136-bus distribution systems. The simulation results demonstrate the effectiveness of the proposed approach to obtain the best solution. The impact of the initial voltage selection on this approach is analysed. The results are suggesting that it requires no load flow solution and it is the unique feature of this approach. The proposed approach can be used as a primary analysis tool for active distribution network real-time operation and planning. The proposed method further extended to the multi-objective approach using the weighted sum technique.
引用
收藏
页码:1303 / 1313
页数:11
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