원문정보
초록
영어
This paper proposes an Adaptive Cuckoo Search Algorithm (ACSA) for solving economic emission dispatch (EELD) problem with quadratic fuel function. The ACSA is developed by performing two adaptive updated step size parameters on conventional CSA in aim to enhance the convergence speed and quality solution of the conventional CSA. In addition to minimizing electricity generation fuel cost, emission released into the air from thermal plants is also another main objective needs to be minimized. In order to test the performance of the proposed ACSA two systems including a three unit system with one load case and a six unit system with three load cases are employed. The obtained result by the ACSA compared to that from other methods has revealed that the proposed ACSA is a very promising meata-heuristic algorithm for solving economic emission load dispatch problem.
목차
1. Introduction
2. Problem Formulation
2.1. Economic Dispatch
2.2. Emission Objective Function
2.3. Economic Emission Dispatch
3. Cuckoo Search Algorithm for EELD Problem
3.1. Calculation of Generation for Slack Thermal Unit.
3.2. Adaptive Cuckoo Search Algorithm Implementation for the EED problem
4. Best Compromise Solution by Fuzzy-Based Mechanism
5. Results and Discussions
5.1. System I with three thermal units.
5.2. System II with six thermal units
6. Conclusion and Future Work
References