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The aspect of this study is to compare the three di fferent algorithms such as Genetic Algorithm (GA), Enhanced Genetic Algorithm (EGA) and Particle Swarm Optimization (PSO) to fine the optimal location of the FACTS device in the transmission line. The FACTS devices Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are selected based on the steady stability state and dynamic stability state. Each of the algorithms is coded in MATLAB and incorporated it with the conventional Newton Raphson’s load flow analysis. To find the effectiveness of the proposed algorithm IEEE 14-bus system is taken as the test system.

In this study, an effective Web-enabled generalized architectural model is proposed. The proposed model makes the power system analysis to be completely secured, distributed, platform-independent and language-independent. Although significant progress has been made for on-line power system analysis in distributed environment, still efficient distributed environment has not yet been exploited. The Web-enabled architectural models are emerging as basic methodologies to support the integration of different power system applications using open Internet standard. The existing RMI models for solving multi-area power system problems in distributed environment, has its limitations to use in internet-based applets. The main objective of this study is to convert existing RMI model for power system applications into Web based model for on-line monitoring of multi-area power systems in distributed environment. Test bench has been created to carry out the performance analysis of the proposed model. Using the proposed model, load flow analysis is carried out for various bus systems. The results obtained are reported.