Combined Economic and Emission Dispatch Using Meta Heuristic Algorithms

Abstract

ABSTRACT newline newline newline newline newlineElectricity is an important basic need for the development of economy. To satisfy the ever-increasing needs for electricity, the number of generators, transmission and distribution systems is rising steadily. In addition, electric power systems are among the most complex industrial systems of the modern age. Another key parameter to consider today is emissions to the environment and its treated that the power plants contribute maximum to the same. So there are very strict guidelines for carbon emissions and all the power plants are mandated to maintain carbon credits. This is highly important for reducing the global warming and needed for existence of living things on earth.The planning and operation of electric power systems must be done in a way that the load demand is met reliably, cost-effectively and in an environmentally responsible manner. Practitioners strive to achieve these goals for successful planning and operations utilizing various optimization tools. It is clear that the objectives to be satisfied are mostly conflicting. In particular, minimizing the fuel cost and the gaseous emissions are two conflicting and non-commensurate objectives. Therefore, multi objective optimization techniques are employed to obtain trade-off relationships between these incompatible objective functions in order to help decision makers take proper decisions. newlineIn this thesis, economic load dispatch of power system operation problems is analyzed. First the power dispatch and environmental factors are considered separately as single objective function and then problem objective function is treated as multi-objectives. Single and multi-objective, are nonlinear non-convex constrained optimization problems with high-dimensional search spaces. This makes it a real challenge for any optimization technique. To obtain the optimal or close to optimal solutions, various algorithms are already in place including those inspired from nature. However as there is continues changes in the power system, high competiti