Optimal Scheduling Thermal Systems Using A New Improved Lambda Iteration Method And Particle Swarm Optimization Technique

The product of Electricity Energy is one of the main problems for improvement of Country’s economy. The main sources for the production of the electricity are water, coal, diesel and others various fuels. In this paper we will model the problem of the energy product in the Thermal Station, which is a non-linear optimization problem in short term thermal scheduling problem. We propose a new improve lambda iteration method (NLIM) to solve the Economic load dispatch problem (ELD). We compare the classic lambda iteration method (LIM) with propose lambda iteration method (NLIM) to solve the ELD problem. We take in consideration also basic PSO (particle swarm optimization) like an effective technique to solve large scale non linear optimization problems. The study take in consideration seven generators thermal of the Kosovo’s Thermal Station (KOV). Keywords—Economic load dispatch, new lambda iteration method (NLIM), lambda iteration method (LIM), Particle Swarm Optimization (PSO).