Hydro-Thermal-Wind Coordination for Short Term Unit Commitment Using Lambda-Gamma Iteration and Particle Swarm Optimization

Abstract

Power system economics is the field that deals with optimization problems in power systems. Unit commitment deals with selection of units based on operation cost, start-up time and cost, and shut-down time. Economic dispatch, which is a subproblem under unit commitment, is concerned with the sharing of loads between generators in order to find the best combination that yields the lowest total operation cost. The economic dispatch problem has been well formulated for power generation by thermal units. Coordination between multiple units of thermal and hydel units along with wind farm integration is at an embryonic level in terms of research. Of late, focus on renewable energy has increased. Thus, it has become essential to extend the economic dispatch concept to accommodate unconventional sources. This paper presents robust algorithms for hydro-thermal-wind coordination with results from implementation on MATLAB programming.