K. Poongothai

Bio: K. Poongothai is an academic researcher. The author has contributed to research in topics: Electric power transmission & Wheeling. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Optimal multi area wheeling using genetic algorithm

Abstract: Wheeling is a process of transmitting electric power through the transmission lines governed by a third party. A practical problem is that wheeling from vendor to vendee involves power flows through several intermediate networks that is, multi-area wheeling. Each utility involves in part of a more number of wheeling transaction over a few miles or hundreds of miles. A vendor that generates power does not have to own power transmission lines: only a connection to the network or grid. The vendor then pays the owner of the transmission line based on how much power is being moved and how congested the line is. In this paper, the basic objective is to minimize the overall operating cost considering the topological structure of the multi area wheeling. This is addressed as a non-linear optimization problem with linear constraints. The basic Genetic Algorithm is used to solve the above optimization problem.

Selective harmonic elimination for PWM AC/AC voltage converter using real coded genetic algorithm

Abstract: This paper focuses on controlling the voltage of PWM AC/AC voltage converter and the use of Real Coded Genetic Algorithm to eliminate selected harmonics from output voltage. The fundamental component of the output voltage can be linearly controlled using the proposed method and harmonics can be completely eliminated up to a specified order. The Real Coded Genetic algorithm generates the best switching angles for a particular output voltage desired by the user with minimum total harmonic distortion (THD). THD values for different output voltages have been tabulated for 3rd and 5th harmonic orders.