Abstract
Renewable energy recourses and Wind Power Generators are playing an ever-increasing role in power generation. In this paper, a two stage scenario-based approach considering load/wind forecast uncertainty is implemented for multi-objective economic emission dispatch problem which concludes minimize total fuel cost and emission simultaneously. Besides, an improved optimization algorithm of multi-objective based on Particle Swarm Optimization (MOIPSO) is implemented to extract the best solution for the stochastic problem. The proposed method is tested on a power system having 6-unit in order to measure its efficiency and feasibility.
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