Abstract
Renewable energy recourses and Wind Power Generators (WPGs) are playing an ever-increasing role in power generation. In this paper, WPGs are being considered in multiobjective day-ahead Dynamic Economic Emission Dispatch (DEED) problem which minimize total fuel cost and emission, simultaneously. Besides, a two stage scenario-based approach is implemented for Stochastic DEED (SDEED) problem considering hourly load/wind forecast uncertainty. Firstly, employs Roulette Wheel Mechanism (RWM) along with Probability Distribution Function (PDF) to model the load/wind forecast error wherein the SDEED is converted into its respective deterministic equivalents (scenarios). In the second stage, for each deterministic scenario, a multiobjective optimization algorithm based on Particle Swarm Optimization (PSO) is implemented to extract the best solution for the deterministic DEED problem. The proposed method is tested on a power system having 5-unit in order to measure its efficiency and feasibility.
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