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Modified Particle Swarm Optimisation for Economic Load Dispatch Problem
Ashita Dutta1, Ann Susan Luke2, Samya Kumar Gupta3, P. Tejasree4, Shivam Shukla5, Vishwajeet Kumar6, P. Suresh7

1Ashita Dutta, Student, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathuur, Kanchipuram (Tamil Nadu), India.
2Ann Susan Luke, Student, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathuur, Kanchipuram (Tamil Nadu), India.
3Samya Kumar Gupta, Student, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathuur, Kanchipuram (Tamil Nadu), India.
4P. Tejasree, Student, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathuur, Kanchipuram (Tamil Nadu), India.
5Shivam Shukla, Student, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathuur, Kanchipuram (Tamil Nadu), India.
6Vishwajeet Kumar, Student, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathuur, Kanchipuram (Tamil Nadu), India.
7P. Suresh, Assistant Professor, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathuur, Kanchipuram (Tamil Nadu), India.
Manuscript received on 17 July 2019 | Revised Manuscript received on 02 August 2019 | Manuscript Published on 10 August 2019 | PP: 172-177 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B10320782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1032.0782S319
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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: For every Power System the concept of Economic Load Dispatch has and continues to be an area of immense importance and concern. With the steady increase in demand over the years it has become all the more mandatory to reduce the cost of power generation and at the same time meet all the power requirements of the concerned area. There are a number of techniques to solve the ever existing problem of Economic Load Dispatch such as Bat Algorithm, Firefly Method, NewtonRaphson Method, Lambda Iterative Method and so on and so forth. Each of these heuristic approaches require the cost curve to be piece wise linear. In this paper, Modified Particle Swarm Optimization has been proposed to find the most economical and ideal solution to the load dispatch problem. This is done by focussing on the population size of the solution space more than on other cost parameters. The simulation for the system is performed on MATLAB software.
Keywords: PSO, ELD, Ramp Limit Constraints, Inertia Weight Factor.
Scope of the Article: Swarm Intelligence