A Reduced Subgradient Algorithm for Solving Combined Economic Emission Dispatch Problem with Valve Point Effect in Power Grid

摘要

Electrical energy management and reduction emission of pollutants are important issues in the operation and planning of a modern power transmission system. This issue is known as a combined economic emission dispatch (CEED) problem. The aims of the CEED problem is to minimize simultaneously the fuel cost and emission pollution while meeting some power system constraints. In this study, we propose a new deterministic optimization method called Reduced Subgradient (RSub) to achieve the best compromise solution of the non-smooth multi-objective CEED problem considering the valve-point loading effect. The performance of this approach for the CEED problem are investigated and evaluated using IEEE 30-bus test system and Taiwan 40-unit generating system. The obtained simulation results show that the proposed RSub algorithm has better convergence, more accuracy, and best compromise solution for the minimum of CEED.