PSO to Solve the Problem of Integrated Economic & Emissions Dispatch
Dr. ND. Sridhar*, Assoc. Professor, Department of Electrical Engineering, Annamalai University, Chidambaram, Tamil Nadu
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 3358-3361 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6013029320/2020©BEIESP | DOI: 10.35940/ijeat.C6013.029320
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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: An important role in the electricity industry has alwa ys been efficient & optimum economical function of electricity p owersystems. This field of concern has taken a new turn in recent years, as environmental issues are being gradually discussed by t he public. Through optimizing distribution of load between power plant, the adverse ecological effects of outlet of gaseous contaminants will be reed. It contributes however to a significant increase in the functional cost of the system. Everything must therefore be equilibrium. There are three techniques investigated for solving the Combination of Economic and Emission Dispatch (CEED) solution that is one traditional method-Lambda Iteration System & Particle Swarm Optimization (PSO). The prize factor method which will change the many-objective CEED solution into one single minimal solution. The survey of total operating costs, total emissions, and system losses on 6-generation units test systems. This is carried out. Results show that Particle Swarm Optimization (PSO) method is superior to the other Lambda Iteration technique for reducing operating costs in solving the problem of Combined Current Economic &Emission Dispatch (CEED). Therefore, PSO technique is highly suited and recommended for use online.
Keywords: Economic Load Dispatch (ELD), Combination of Economic and Emission Dispatch (CEED) & Particle Swarm Optimization (PSO).