A review on application of various heuristic techniques to combined economic and emission dispatch in a modern power system scenario

Abstract

In current scenario electricity market is like a commodity market, the electric energy must be economic as well as reliable. For the economic operation in power system economic load dispatch plays an important factor. As most of the generation is based on fossil fuel, it emits the oxides of Nitrogen (NOx), Sulphur (SOx) and Carbon (CO2). To improve the economic operation and minimize the adverse environmental impact of the fossil fuel based systems, combined economic and emission dispatch has been suggested by many authors. This paper provides review of various authors around the world suggesting different technique applied to the combined economic operation and environmental impact as a multi-objective optimization problem. Various optimization techniques have been proposed to apply such as Genetic algorithm (GA), Evolutionary Programming (EP), particle swarm optimization (PSO), Artificial Bee Colony Algorithm (ABC), Differential evolution (DE), Backtracking Search Optimization (BSO), Flower Pollination Algorithm (FPA) and etc.