Combined Economic and Multiple Emissions Optimization Considering Third Order Polynomials Using Grasshopper Optimization Algorithm
Karthikeyan. R1, Subramanian. S2, Elanchezhian. E. B3
1Karthikeyan. R , Lecturer (Assistant Professor deputed from Annamalai University), Alagappa Government Polytechnic College, Karaikudi, India.
2Subramanian. S, Professor, Annamalai University, Annamalainagar, India.
3Elanchezhian. E. B, Lecturer (Assistant Professor deputed from Annamalai University), Government Polytechnic College, Srirangam, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 274-284 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6332068819/19©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: The power system desires to gratify its customers demand with minimum cost and emission. Fuel cost and emission has directly association with energy cost. The objective of this work is to trace the most effective generator schedule which minimizes both fuel cost and multiple emission pollutants such as SO2 , NOx and CO2 simultaneously. This paper presents grasshopper optimization algorithm for solving economic multiple emissions dispatch problem including multiple pollutants expressed as third order polynomials. The simulation analyses are carried out on standard six unit test system to show the effectualness of the presented method. The analyses are performed for the above mentioned test system through five different scenarios such as fuel cost minimization, multiple emissions minimization, combined multiple emissions minimization, combined economic emission dispatch and combined economic multiple emissions dispatch. Numerical simulation results on an illustrative system depicts that, the proposed approach has less convergence time, and good performance when compared to the recently heuristic approaches. The results thus indicate that the proposed model achieves a more accurate estimate of fuel cost and emission in the system and can be effectively utilized for cost and emission analysis in power system applications.
Keyword: CEED, CEMED, CO2 , Emission, Fuel cost, GOA, NOX, Price penalty factor, SO2, Total cost.
Scope of the Article: Economics of Energy Harvesting Communications