A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation

被引:0
|
作者
Maciel, Renan Silva [1 ]
Padilha-Feltrin, Antonio [1 ]
da Rosa, Mauro Augusto [2 ,3 ]
Miranda, Vladimiro [2 ,3 ]
机构
[1] Sao Paulo State Univ UNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, Brazil
[2] Univ Porto, INESC Porto, Oporto, Portugal
[3] Univ Porto, Fac Engn, FEUP, Oporto, Portugal
基金
巴西圣保罗研究基金会;
关键词
Multi-objective optimization; Distributed Generation; Distribution planning; Multi-objective evolutionary particle swarm optimization; RISK; DNOS;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective optimization tool based on the meta-heuristic MEPSO is used, supporting an alternative approach to exploiting the Pareto front features. Tests were performed in distinct conditions with two well-known distribution networks: IEEE-34 and IEEE-123. The results combined minimization and maximization in order to produce different Pareto fronts and determine the extent of the impact caused by DG. The analysis provides useful information, such as the identification of futures that should be considered in planning. A future means a set of realizations of all uncertainties. MEPSO also presented a satisfactory performance in obtaining the Pareto fronts.
引用
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页数:6
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