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Transmission system of the Rajasthan state, India is used to transfer power from the centralized generating stations to load centers. There is a thermal complex in the Kota region which includes four thermal power stations (TPS). These are Kawai Super Critical TPS (SCTPS), Chhabra TPS, Chhabra SCTPS, and Kalisindh TPS. Existing transmission system is not sufficient to evacuate power from this thermal complex during the contingency conditions. Hence, restructuring of the existing power network is required to mitigate the power evacuation constraints from this thermal complex. This research presents an optimized design for the restructuring of the transmission network associated with this thermal complex to mitigate power evacuation constraints. This is achieved by analysing the various possible options of the creation of various 400/220 kV GSS or 220/132 kV GSS in the region. Research also considered replacement of the existing ICTs at the thermal power stations by ICTs of higher ratings. The strength of the proposed restructured power system network is tested during various contingency conditions so that the power system network always takes care of power evacuation from the thermal complex and avoids the requirement of backing down the generation. Modified network is tested using the load flow study as well as a short circuit study. Results of these studies established that creation of 400/220 kV GSS at Sangod will be technically most feasible, effective and sufficient to mitigate the power evacuation constraints associated with the thermal complex. The study is performed using the MiPower software.

Power quality issues are handled very well by filter technologies. In recent years, the advancement of hybrid active power filters (HAPF) has been enhanced due to ease of control and flexibility as compared to other filter technologies. These filters are a beneficial asset for a power producer that requires a smooth filtered output of power. However, the design of these filters is a daunting task to perform. Often, metaheuristic algorithms are employed for dealing with this nonlinear optimization problem. In this work, a new hybrid metaheuristic algorithm (Marine Predator Algorithm and Sine Cosine Algorithm) has been proposed for selecting the best parameters for HAPF. The comparison of different algorithms for obtaining the HAPF parameters is also performed to show case efficacy of the proposed hybrid algorithm. It can be concluded that the proposed algorithm produces robust results and can be a potential tool for estimating the HAPF parameters. The confirmation of the performance of the proposed algorithm is conducted with the results of fitness statistical results, boxplots, and different numerical analyses.