Title :
Multiobjective Optimization for DG Planning With Load Models
Author :
Singh, D. ; Singh, D. ; Verma, K.S.
Author_Institution :
Electr. Eng. Dept., Kamla Nehru Inst. of Technol., Sultanpur
Abstract :
This paper presents a multiobjective performance index-based size and location determination of distributed generation in distribution systems with different load models. Normally, a constant power (real and reactive) load model is assumed in most of the studies made in the literature. It is shown that load models can significantly affect the optimal location and sizing of distributed generation (DG) resources in distribution systems. The simulation technique based on genetic algorithms is studied. The studies have been carried out on 16-bus and 37-bus distribution systems.
Keywords :
distributed power generation; genetic algorithms; power distribution planning; 16-bus distribution systems; 37-bus distribution systems; DG planning; constant power load models; distributed generation; distribution systems; genetic algorithms; location determination; multiobjective optimization; multiobjective performance index-based size; Costs; Distributed control; Genetic algorithms; Load modeling; Power system modeling; Power system planning; Power system reliability; Reactive power; Switches; Voltage; Distributed generation (DG); distribution systems; genetic algorithms (GA); load models;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2008.2009483
