AN EFFICIENT HYBRID METHOD FOR COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM USING GENETIC AND WHALE OPTIMIZATION ALGORITHM
C.R.EDWIN SELVA REX Dr.M.Marsaline Beno J.ANNROSE
industrial electrical power systems
Economic Dispatch is the process of distributing available power by satisfying equality and inequality constraints, and to meet the load demand at minimum operating cost. The major electrical power has been produced by fossil-fuelled power plants. These power plants emit carbon oxides (COx), sulphur Oxides (SOx) and oxides of nitrogen (NOx). These gases result in global warming which in turn leads to ecological imbalance. Due to increase in public awareness on the environmental pollution and the passage of clean air amendments, all the nations have forced the utilities to modify their operating methods to meet the environmental standards. Economic dispatch minimizes the total fuel cost without considering emission constraints. The emission dispatch minimizes the emission without considering economic aspects. To eliminate the above-mentioned conflicts, and to study the trade-off relationship between fuel cost and emissions, a collective approach called Combined Economic and Emission Dispatch (CEED) is used. This paper proposes a novel hybrid algorithm for solving combined economic and emission dispatch problem which uses both Genetic Algorithm (GA) and Whale Optimization Algorithm (WOA). The effectiveness of the proposed method is tested on the different test system and performance is compared with some other heuristic approaches.
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