Authors : Anumeha, K.B. Yadav, S. Agrawal and Jayendra Kumar
Abstract: The electric power industry is undergoing many fundamental changes due to implementation of deregulation policy. Traditionally, the electric power systems were structured vertically integrated, providing the three services generation, transmission and distribution by a single party. After deregulation the three service sectors may be operated (provided) by different company or party. As such the power can be generated by a company, it could be sold to any other company for distribution at load centers and it may be transmitted by a third party from the generation point of selling point (load center/buyer), i.e., power wheeling from the generation point to the distribution point (buyer). In this study, it is proposed to consider the economic power wheeling from the generation point to the distribution point through Gravitational Search Algorithm (GSA) on the basis of MW-Mile method under two operating conditions with and without transmission line power limit. The method is explained by an example of 4-grid power system. The result of GSA method is compared with the result obtained by Particle Swarm Optimization (PSO) method. It has been shown that the GSA method is more efficient than the PSO method as the computation time by GSA is less than computation time by PSO method.
Anumeha, , K.B. Yadav, S. Agrawal and Jayendra Kumar, 2018. Economic Operation of Power Wheeling under Deregulated Environment Using Soft Computing. Journal of Engineering and Applied Sciences, 13: 2183-2189.