Solution of Economic Load Dispatch problem using Conventional methods and Particle Swarm Optimization
Nikitha M1, Pratheksha Jerline L2, Aishwarya T3, Karthikaikannan D4
1Nikitha. M, Department of EEE, SASTRA Deemed to be University, Thanjavur, India.
2Pratheksha Jerline. L, Department of EEE, SASTRA Deemed to be University, Thanjavur, India.
3Aishwarya. T, Department of EEE, SASTRA Deemed to be University, Thanjavur, India.
4Dr. D. Karthikaikannan*, Department of EEE, SASTRA Deemed to be University, Thanjavur, India.
Manuscript received on July 15, 2020. | Revised Manuscript received on July 29, 2020. | Manuscript published on August 10, 2020. | PP: 243-249 | Volume-9 Issue-10, August 2020 | Retrieval Number: 100.1/ijitee.J74750891020 | DOI: 10.35940/ijitee.J7475.0891020
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Abstract: Economic load dispatch is the method to find the optimum power output of the generators in a network cost-effectively with adherence to all the constraints. In this paper, the Economic Load Dispatch (ELD) problem has been tested on IEEE 14 Bus System by implementing conventional methods like Classical Coordination method, Gradient method, Modified Coordination method, and Particle Swarm Optimization (PSO). Conventional methodologies provide the solution in the simplest way but it does not handle the constraints effectively. Modified coordination method provides a better solution without the use of B-coefficients and the calculation of penalty factors is much easier because they can be obtained from the already available solution of FDLF involving some computations. PSO also provides a better solution but the initial design parameters are slightly difficult to determine. The performance of all the methods is compared and results reveal that the Modified coordination method proves to be the fastest among other solutions particularly if larger systems are involved.
Keywords: Constraints, Loss, Optimum, Penalty factor.
Scope of the Article: Swarm Intelligence