MULTI-OBJECTIVE GENERATION SCHEDULING OF ELECTRIC POWER SYSTEMS

Abstract

A power system operation at minimum cost is no longer the only criterion for electrical power dispatch. Nowadays, a large part of energy production is done with thermal sources. Thermal power generation is one of the most important sources of carbon dioxide (CO2), sulfur dioxide (SO2) and nitrogen oxides (NO,,) which create atmospheric pollution. Pollution control agencies restrict the amount of emissions of pollutants depending upon their relative harmfulness to human beings. Therefore, we have to minimize many objectives simultaneously, not a single objective and it is known as multi-objective problem. In this report, there is a discussion on economic dispatch, emission dispatch, and economic emission dispatch, and also discussed how to formulate the multi-objective optimization function related to economic emission dispatch. This report presents a Particle Swarm Optimization (PSO) algorithm to solve a Combined Economic Emission Dispatch of valve point loaded generating units considering emission constraints. This problem has been getting more attention recently due to the strict environmental regulations. It is formulated as a highly nonlinear constrained multi-objective optimization problem with conflicting objective functions. PSO algorithm is used to solve the formulated problem on a standard IEEE 30 bus system and the results for with and without valve-point effects are compared. Four modified versions PSO have also been applied to the economic power dispatch with valve point effect and their comparison is shown. The different PSO techniques are PPSO, MPPSO, APPSO and DPPSO.