Hybrid Optimization Method for Thermal-Wind Integration with Multiobjective Dynamic Economic Dispatch

Abstract

A large electric power system requires an interconnection process to maintain the continuity of electricity service and lighten the burden of the existing power station in the system. In the electrical energy distribution process of the thermal power plant to the load center, a minimum operation cost is required. In this paper, the FOA-ABC hybrid optimization method is proposed to get the best solution from multiobjective dynamic economic dispatch (MDED) in an electrical power system for five tested objective functions by reviewing the power balanced, power limits of the generator, and the generator ramp rate as constraints. The test is done by using three different electrical systems, namely thermal-wind integration of the 26 bus IEEE system that was carried out in two test stages with two functions of objective, the 30 bus IEEE thermal power plant system that also is carried out in two test stages with three and five objective functions, and the Sulselbar thermal power plant real system in Indonesia with two objective functions. Simulation results of the FOA-ABC hybrid optimization method for thermal-wind integration of the 26 bus IEEE system, the 30 bus IEEE system, and the Sulselbar thermal power plant real system compared with the existing another method. It showed that the FOA-ABC hybrid optimization method able to solve multiobjective dynamic economic dispatch problems better with smaller value than the other methods that are being compared. Besides that, the wind power plant integration into thermal power plants can reduce the total operating costs of power plants in an interconnected system.