Dynamic economic emission dispatch using ant lion optimization

Hardiansyah Hardiansyah

doi:10.11591/eei.v9i1.1664

Abstract

This paper aims to propose a new meta-heuristic search algorithm, called Ant Lion Optimization (ALO). The ALO is a newly developed population-based search algorithm inspired hunting mechanism of ant lions. The proposed algorithm is presented to solve the dynamic economic emission dispatch (DEED) problem with considering the generator constraints such as ramp rate limits, valve-point effetcs, prohibited operating zones and transmission loss. The 5-unit generation system for a 24 h time interval has been taken to validate the efficiency of the proposed algorithm. Simulation results clearly show that the proposed method outperforms in terms of solution quality when compared with the other optimization algorithms reported in the literature.

Highlights

The Dynamic Economic Dispatch (DED) formulation allows for a more advanced treatment of the Economic Dispatch (ED) problem
In order to demonstrate the effectiveness of the proposed approach, a 5-unit generation system with non-smooth fuel cost and emission functions are used
The fuel cost coefficients including valve -point effects, emission coefficients, generation limits, ramp rate limits, prohibited o perating zones, B-loss coefficients, and load demand in each interval are given in Appendix, which is taken from [24]

Summary

Introduction

The Dynamic Economic Dispatch (DED) formulation allows for a more advanced treatment of the Economic Dispatch (ED) problem. The additional of certain periods of time in which the traditional economic dispatch is scheduled and operated, and the variation of the load demands over this period of time, have made the DED a more realistic representation of real conditio ns. The fundamental goal of dynamic economic dispatch problem of electric power generation is to schedule the committed generating unit outputs in order to meet the predicted load demand with minimum operating cost, while satisfying all system equality and inequality constraints. The presence of the valve-point effect results ripples in the heat-rate curves so that the objective function becomes non-convex, discontinuous, and with multiple minima [3,4,5,6]. The fuel cost function with valve-point effects in the generating units is the accurate model of the DED problem [7,8,9]

Objectives

Results

Conclusion