Heuristic approach for economic and emission generation scheduling of thermal hydro wind power systems

Abstract

Role of optimum generation scheduling of a thermal renewable hybrid power generation system newlinewith aim of achieving economic and environmental benefits, is vital in current scenario of increasing newlinepower demand, escalating fuel price and high pollution rate. In view of ever increasing power demand, newlineuses of replenishable hydro energy and renewable energy sources such as wind, solar etc. in power newlineproduction is inevitable. With improved technology, capital cost of wind turbine has decreased, newlinereliability has improved and efficiency has increased. newlineEconomic and emission dispatch problem of power generation systems are broadly studied in this newlinethesis considering various operational obligations. The problem is a non-linear, multi-objective having newlineconflicting nature. The calculus-based conventional solution techniques, containing composite newlinemathematical expressions and long computational steps have a limited space to address discrete and newlinenon-differentiable problems. Hence heuristic optimization methods, which mimic the natural behaviour newlineof certain things or physical phenomena of certain items, gained wide popularity due to the easiness of newlineimplementation and adaptability in searching for the best solution. newlineFirst phase of present research work deals with the economic and emission dispatch of thermal newlinegeneration system taking into account various operational constraints such as generation limits, ramp newlinerate limits and prohibited operating zones. The economic and emission dispatch is a multi-objective newlineoptimization problem with conflicting objective functions. A general problem formulation has been newlinedone by converting it into a single objective problem using price penalty factor approach. Two heuristic newlinemethods, Binary Coded Genetic Algorithm (BCGA) and Particle Swarm Optimization (PSO) are newlineemployed, and tested in IEEE bench mark systems to determine the optimal solution under various newlineloading conditions.