A New Short-Term Planning Strategy for Multi-Objective Distribution Network Reconfiguration and Optimal DG Insertion

被引:5
|
作者
Ben Hamida, Imen [1 ]
Salah, Saoussen Brini [2 ]
Msahli, Faouzi [3 ]
Mimouni, Mohamed Faouzi [3 ]
机构
[1] ENISO Univ Sousse, Dept Elect Engn, BP 264 Sousse Erriadh, Sousse 4023, Tunisia
[2] ENIS, Dept Elect Engn, Sfax 3038, Tunisia
[3] ENIM, Dept Elect Engn, Rue Ibn El Jazzar, Monastir 5019, Tunisia
关键词
Distribution network planning; Distribution network reconfiguration; Renewable distributed generation; Multi-objective optimization; Pareto optimality; DISTRIBUTION-SYSTEM; OPTIMAL INTEGRATION; OPTIMAL PLACEMENT; LOSS REDUCTION; POWER; GENERATION; MODELS; LOAD;
D O I
10.1007/s13369-018-3645-9
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 suggests a new short-term planning strategy to maximize the benefits of simultaneous distribution network reconfiguration and distributed generation integration by considering the variations in DG outputs and the system load during the planning period. The objective functions to optimize are active power losses, green house emissions and operation costs, while satisfying all operational and topological constraints. A Pareto-optimality-based method is suggested to solve this combinatorial problem providing Pareto optimal solutions where utilities can select a final solution. The effectiveness of the proposed planning strategy is investigated through simulation tests performed on a standard distribution network test system. Fuzzy decision making is utilized to identify the best solutions among Pareto ones. These optimal solutions give significant economic, technical and environmental enhancements of the distribution network.
引用
收藏
页码:6813 / 6826
页数:14
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