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Multiobjective Optimization for DG Planning With Load Models
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DOI：10.1109/TPWRS.2008.2009483.png)
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Abstract
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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 generation (DG)
distribution systems
genetic algorithms (GA)
load models
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