Optimal setting and location of Flexible AC Transmission Systems (FACTS) devices are widely used in enhancing power system security. The most effective FACTS device is Unified Power Flow Controller (UPFC) which has both series and shunt compensation. The effectiveness of FACTS device over the mitigation of security issues depends on its location and its parameter settings. Hence, this paper presents Ant Colony Optimization (ACO) methodology to optimally locate UPFC to enhance power system security under single contingencies (N-1 Contingency). The simulation is carried out on IEEE 6 bus and IEEE 14 bus test systems considering line over loads and bus voltage violations for ensuring system security. This approach is twofold. Initially, an N-1 contingency test is performed based on severity ranking is done then UPFC is placed optimally using ACO algorithm to mitigate the severity. Further to validate the proposed approach the results are compared with the conventional Non Linear Programming-Interior Point (NLP-IP) technique.

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A bidirectional chopper (BDC) is the one which can interface main source (HVS), auxiliary source (LVS) and a DC-Bus voltage at different levels which is implemented in Hybrid Electric Vehicle (HEV). This converter operation is of two modes namely dual source powering mode and energy re generation mode along with power flow control in both the directions. And also the independent power flow control across two sources (i.e. the dual source buck-boost mode) . The operation, closed loop control of artificial neural network (ANN) and the comparison between PI and ANN control are provided in simulation results.I.

Nowadays to reduce carbon emissions every one looking forward to pollution free energy by integrating electrical power system with Electric Vehicles (EVs). This paper offers the participation of EVs for LFC of 3 region energy systems and every control area there is a EVs penetration to minimize frequency and Tie-Line oscillations of multi area power system. In this propose work a coordinated intelligent (Fuzzy) and Non Integer Order (FOPID) controller implemented for three area power system under sudden load disturbances and larger load demands. This new coordinated control methodology tested on multi area power system using MATLAB-Simulink and performance of proposed coordinated control strategy compared to FOPID and PID controllers.

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