Economic Dispatch of Thermal Units with Valve-point Effect using Vector Coevolving Particle Swarm Optimization Algorithm

Abstract: This paper is intended to reduce the cost of producing fuel from thermal power plants using the problem of economic distribution. This means that in order to determine the share of each unit, considering the amount of consumption and restrictions, including the ones that can be applied to the rate of increase, the prohibited operating areas and the barrier of the vapor barrier, the problem an economic distribution occurs. There are several methods for solving this problem, one of which is the use of the Vector Coevolving Particle Swarm Optimization Algorithm. This algorithm is completely different from the common Particle Swarm Algorithm and its variants. Therefore, the Vector Coevolving Particle Swarm Optimization Algorithm will be proposed for solving the economic load distribution problem for Trial Systems 3, 6, 13, and 15 Units, while the system constraints are observed. MATLAB software application solves the problem of economic load distribution. Simulation and statistical results and comparison of this algorithm with other algorithms worked out in this section, to solve the optimization problems, show that the algorithm of particle swarm evolution can be equal or better than other algorithm in this research, especially when mortality is considered.