The Interline Power Flow Controller (IPFC) is a voltage source converter based Flexible AC Transmission System (FACTS) controller for series compensation and power flow management among a substation's multiline transmission systems. Individual Voltage Source Converters (VSC) can inject reactive voltage that can be adjusted to manage active power flow in a line. This VSC is used to convert DC voltage to AC voltage and the voltage is kept constant in the entire process. In this article, a circuit model for IPFC is constructed, and a simulation of an interline power flow controller is performed, with control performed utilizing a variety of algorithms, including adaptive weighted feedback, gravitational search, BAT, and ANT colony optimization. The system's performance was evaluated in a variety of scenarios, including fault incidence, synchronous load connection, and asynchronous load connection. The design of system and analysis of system has been carried out using MATLAB Simulink in terms of various parameters at point of common coupling like voltage, current, power and power factor.

In this paper, an effective controller design for the BLDC motor drive is proposed using nature inspired Whale Optimization Algorithm (WOA). The PI controller is developed for the speed control of BLDC motor using Whale Optimization Algorithm. The gain settings of a PI controller are improved using WOA, with Integral square Error (ISE) as the objective function. The dynamic characteristics of the BLDC motor are observed by the developed model using MATLAB/simulink environment. The suggested controller's performance is evaluated under a variety of load and set speed settings, and it is compared to other known optimization approaches such as PSO and DE. Based on the simulation results, it is clear that the suggested controller performs better under all of the drive's operating conditions.

In this manuscript, a hybrid HUA-GPC strategy with unified power flow controller (UPFC) is proposed to enhance that security of power system under the condition of transmission and/or generator failure. The proposed hybrid strategy is joint implementation of Human urbanization algorithm (HUA) and Giza Pyramids Construction (GPC) and commonly named as HUA-GPC approach. GPC approach is utilized to develop that search behavior of HUA.The main aim of the proposal is the operation and control of electrical system is to satisfy the demand continuously in the absence of failures. A new severity function is created with transmission line loads and bus voltage magnitude deviations. The proposed function and generation fuel cost are evaluated in contingency conditions of transmission line (s) and/or generator (s). System safety in contingency conditions is evaluated with optimal power flow issue.To improve system safety in contingency conditions in the presence of UPFC, it is essential to recognize an optimal position to install this device. To recognize an optimal UPFC position, in this proposal, a HUA-GPC technique depending on line overload sensitivity index (LOSI) is evolved. The LOSI is assessed for every transmission lines in contingencies. An energy injection model based on UPFC voltage source, incorporation process and optimal location recognition approach depending on line overload sensitivity indices is proposed. The constraints are the constraints of equality and inequality. The proposed approach is then performed on the MATLAB/Simulink work platform and the efficiency is compared with existing strategies. The quality of the solution for the proposed system is analyzed in terms of best aptitude, worst aptitude, mean aptitude, SD, coefficient of variation and the error of best is 1110936.

No abstract