A Novel Method for Solving Multi-Objective Hydrothermal Unit Commitment and Sheduling for GENCO Using Hybrid LR-EP Technique

Abstract

Abstract The multi-objective scheduling of maximizing the profit and minimising the emission of a Hydro -Thermal System (HTS) using Lagrangian Relaxation-Evolutionary Programming (LR-EP) technique has been presented in this paper. The various constraints of the hydro and thermal power system network considered are power balance, reservoir storage, turbine flow rate and loading limits of both thermal and hydro plants. Numerical results for a sample test system consist of four hydro and three thermal plants have been presented. The increase in demand for electricity has lead to the introduction of hydro, nuclear and tidal power stations. Under such cases, it is essential to interconnect hydro and thermal plants so that effective utilization of all the available energy resources can be carried out and demand can be met easily. Since the operational cost of hydropower plant is low, it can be integrated with thermal power plant so that most of the demand can be met by hydro power plant resulting in less usage of fossil fuel consumption for thermal power plants. Unit Commitment (UC) for thermal plants in the deregulated environment has been dealt with in the earlier works showing considerable profit. Here, in this paper a new attempt has been carried out for multiobjective scheduling of hydrothermal power plants for a Generating company (GENCO). It is observed that there is a increase in profit on the inclusion of non-renewable energy source such as hydro power plants, since it reduces the fuel consumption of thermal power plants. This proves the improved effectiveness of the proposed method.