Solution of combined economic and emission dispatch problems using galaxy-based search algorithm

الملخص EN

The Galaxy-based Search Algorithm (GbSA) is an optimization technique developed recently by Hamed Shah-Hosseini at Shahid Beheshti University-Iran [1, 2].

GbSA is a meta-heuristic that uses a modified Hill Climbing algorithm as a local search and resembles the spiral arms of some galaxies to search the optimum. In this paper, GbSA is proposed for solving the Combined Economic and Emission Dispatch (CEED) problem under some equality and inequality constraints.

The equality constraints are the active power flow balance equations, while the inequality constraints are the minimum and maximum power output of each unit.

The voltage levels and security are assumed to be constant.

The CEED problem is obtained by considering both the economy and emission objectives.

This bi-objective problem is converted into a single objective function using a price penalty factor. The validity of GbSA is tested on two sample systems and the results are compared to those reported in the recent literature.

The study results are quite encouraging showing the good applicability of GbSA for CEED problem.