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Congestion management (CM) is becoming a challenging task in the power system due to the increase in the system complexities in the deregulated environment. The congestion causes grave damage to the power system components if the outages tend to occur more frequently. Hence, in the present power system scenario, CM is a complex task of an independent system operator (ISO). This proposal intends to introduce a novel optimization-based CM model with advanced soft computing techniques. A new hybrid algorithm is introduced in this paper, which optimizes the generating power of added generators with the bus system. Thereby manages the congestion with minimized rescheduling cost. The proposed optimization algorithm termed Lion Algorithm with Moth-based Mutation (LA-MM) hybridizes the concepts of both Lion Algorithm (LA) and Moth Search Algorithm (MS). Subsequently, the experimentation is conducted in two test bus systems like IEEE 14 and 30 bus systems. The performance of the proposed model is compared over other stateof-the-art models concerning cost analysis and convergence analysis, respectively.

Fractional KW electrical machines used in domestic and industrial applications are mostly asymmetrical two phase induction motor supplied by single phase supply. Though many techniques are available for control of three phase induction machine for extracting its best performance, but no such generalized technique is available for controlling Single Phase Induction Motor (SPIM). In this paper, a SPIM is studied, where a dynamic capacitor is used for obtaining maximum torque operation. The SPIM makes use of indirect current control of Voltage Source Inverter (VSI) with a capacitor on its DC bus , so that it can work as a variable capacitor. Then a maximum torque operation is obtained, by connecting this dynamic capacitor in series with the auxiliary winding, and is controlled in such a way to keep the main and auxiliary winding currents in phase quadrature to each other. And along with dynamic capacitor a dynamic model is developed in stator reference frame (d-q). For proposed configuration, performance of the SPIM is studied using MATLAB, to demonstrate the effectiveness of the dynamic capacitor.

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