Genetic Algorithm based transmission loss optimization under deregulated environment

This paper proposes a systematic method for reactive loss optimization using Genetic Algorithm (GA) and load flow analysis for deregulated transmission systems. Due to nonlinear nature of power flow, tracing the loss and power flow through the mesh network becomes more complicated. In this paper, in genetic algorithm, the loss optimization using equivalent optimal power flow model has been treated as fitness function where conventional power balance equation is considered as constraint. On second level, the accuracy has been further improved using ac load flow by changing the tap position of the existing transformer in the system. The proposed methodology depicts the information related to the optimization status of total system loss with or without installing external device to minimize the investment cost under deregulated environment. IEEE 30 bus system is used to demonstrate the effectiveness of the method.