PSO Price Penalty Factor Choices for Solving Dynamic Economic Emission Dispatch Problem

Particle swarm optimization (PSO) is the most common technique used to solve the dynamic economic emission dispatch (DEED) problem in power systems. The main objective of solving the DEED problem is to ensure that every power generating unit connected in the power system can produce electricity at the lowest possible fuel consumption and emission rates. In addition, the solution must be achieved while maintaining the load and system constraints. When solving the DEED problem, different PSO price penalty factors are used to combine the economic dispatch problem and the emission problem into a single multi-objective function. In this paper, an investigation of the effect of different PSO price penalty factors on solving DEED problem is examined and tested on a case study. Simulation results show the effectiveness of the PSO price penalty factors for solving the DEED problem. It also shows that Min-Max price penalty factor provides the minimum DEED problem overall cost.