Management of reactive power resources is essential for the secure and stable functioning of power systems in the standpoint of voltage stability. The principal aim of optimal reactive power dispatch (ORPD) is to detect the settings of control variables such as the voltage rating of generators, reactive power injection of VAR compensators and tap ratios of the tap setting transformers in order to decrease the grid congestion with one or more objective of minimizing the active power loss for a fixed economic power schedule while meeting a given lot of constraints. In this paper, Flexible AC Transmission System (FACTS) controllers named as Unified Power Flow Controller (UPFC) is added with conventional ORPD problem for active power loss minimization with voltage profile improvement. Also, this paper demonstrates the application of sine cosine algorithm (SCA) to discover the optimal solution of ORPD (with UPFC) of power system with different test systems (IEEE 57-bus and IEEE 118- bus) with distinct cases such as minimization of active power losses and improvement of voltage profile. Simulation results show the high quality and accuracy of the proposed algorithm, and considering the quality of the solution obtained, the proposed algorithm appears to be efficient and robust to solve the ORPD problem comparing with existing literature.
An adaptive approach for optimal tuning of a SMC for an automated voltage regulator system is displayed in this study. The approach is centered on hybrid of the GA and MOPSA. In addition, unique objective functions for the controller's parameter optimization are suggested. The performance of the resulting perfect sliding mode controller is confirmed by comparing it to controllers adjusted using various techniques that have been published in the literature. The simulation outcomes indicate that controllers tuned with the projected MOPSO and GA algorithms outperform controllers tuned with existing methods. In addition, a comparison study is performed to select the best controller for use in AVR systems. The suggested algorithm's major benefit is a considerable boost in convergence speed. With step changes and step load modifications in input wind power, the system model with built-in intelligent controller is generated in MATLAB/SIMULINK. The benefits of the recommended intelligent control algorithm are confirmed by comparing the outcomes of the sliding mode controller and the projected MOPSO self-tuned controller. The findings show that the hybrid Wind/PV system's reactive power adjustment capabilities. When used in conjunction with BES, it is extremely successful in optimising the voltage profile although providing active energy to local load. 153554b96e