Multi-objective economic emission dispatch using interior search algorithm

The purpose of the combined economic emission dispatch of generation in an electric power is to offer the finest schedule for the generating units which must run with both lesser fuel cost and emission levels concurrently thereby fulfilling the system equality and inequality constraints. This paper presents an interior search algorithm (ISA) for solving multi-objective combined economic emission dispatch (CEED) problems. Simulation results obtained substantiate the efficiency of ISA algorithm in solving the CEED problems. The effectiveness of the proposed ISA is investigated on five various test systems which comprise three-unit system, IEEE 30-bus system, 10-unit system, 20-unit system, and Taiwan 40-unit generating system. Simulation results and their comparison with other meta-heuristic optimization techniques reveal that the proposed ISA is proficient in solving CEED problem of fossil fuel generators.