Optimal Analysis of Economic Load Dispatch using Artificial Intelligence Techniques
Vijay Kumar1, Rakesh Kumar2

1Dr. Vijay Kumar, Prof, Director-Principal, Ram Devi Jindal Group of Institutions, Basoli (Punjab). India.
2Dr. Rakesh Kumar, Assistant Professor, Punjab Institute of Technology, Bhikhiwind (Punjab). India.

Manuscript received on 10 October 2016 | Revised Manuscript received on 18 October 2016 | Manuscript Published on 30 October 2016 | PP: 59-63 | Volume-6 Issue-1, October 2016 | Retrieval Number: A4743106116/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Applications of artificial intelligence to economic load dispatch problems are discussed in the paper. The fuelcost equation of a thermal plant is generally expressed as continuous quadratic equation. In real situations the fuel cost equations can be discontinuous. Continuous and discontinuous fuel cost equations are explained here as thermal palnts cost equation are continuous which are further a quadratic equation.GA technique used for 30 bus test system have continuous fuel cost equations. Various results compared with conservative quadratic programming methods to analyze superiority of the suggested artificial intelligence technique. A 10-generator system each with distributed areas is considered and particle swarm algorithm engaged to reduce the cost of generation. All obtained results compared with other conventional methods.
Keywords: GA, ELD, PSO, Evolutionary Methods

Scope of the Article: Evolutionary Computing and Intelligent Systems