Combined Emission and Economic Dispatch Problems using Hybrid of Particle Swarm and Teaching Learning Based Optimizations
Rajanish Kumar Kaushal1, Praveen Saini2, Tilak Thakur3

1Rajanish Kumar Kaushal, Pursuing Ph.D. in Electrical Engineering Department of the Punjab Engineering College, Chandigarh, India
2Praveen Saini, Pursuing Ph.D. in Electrical Engineering Department of the Punjab Engineering College, Chandigarh, India
3Dr. Tilak Thakur, Professor, Electrical Engineering Department of the Punjab Engineering College, Chandigarh, India

Manuscript received on 22 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 2861-2868 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8719078919/19©BEIESP | DOI: 10.35940/ijitee.I8719.078919

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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: With day by day increasing population and standard of human being increases the consumption of electrical energy and this increasing in the consumption of electrical energy, increases the number of generators, transmission lines to full fill the daily needs of the electrical energy. So the power system has become more complex and main source of gaseous emission. So arranging and the task of intensity framework of power system must be done in such a way that energy and emission arising due to power generation, the retribution paid by the power plant because of emission and cost paid in generation need to tackle all the while. This paper shows a reliable and effective hybrid of particle swarm optimization (PSO) algorithm and teaching learning based optimization (TLBO) for combined emission and economic dispatch (CEED) problems. The outcomes have been shown for combined emission and economic dispatch issues of standard 3 and 6-generators frameworks with consideration of transmission losses.
Keywords: Economic Dispatch, Emission Dispatch, PSO, TLBO, PSO-TLBO

Scope of the Article: Social Sciences