The study focus on maintain of voltage factor in the near-unity network (1pu) using a Static Variables Compensator (SVC). In order to determine the effectiveness of this device to improve the stability of a power system with distributed genetartion in presence of wind farm based on MADA, the power flow is calculated without the existence of the SVC at first, and then when the SVC is integrated. This operation is performed to make a comparison and evaluate the role of the device in the system. However, in order to improve voltage stability as well as minimize power losses for practical power systems, it is important to locate the appropriate place of SVC. Various methods have been developed. The particular CPF method has been proven effective in determining SVC placement. The obtained results are discussed and analysed, it is found that this device provides a considerable reduction in the voltage drop and appreciable control of the voltage at the concerned busbar.
The Golden Jackal Optimization algorithm (GJO) is used in this study to address the problem of optimal placement and sizing of single and multiple distributed generators (DGs) on the IEEE123 test system. The proposed approach attempts to minimize the total power loss of the system while respecting the voltage and power limits. The GJO algorithm is a new meta-heuristic algorithm inspired by the behavior of the golden jackal in the wild. The GJO algorithm is used to find the ideal location and sizing of DGs, and the results are compared with those obtained by other meta-heuristic techniques. According to the simulation results, the GJO method outperforms other metaheuristic algorithms in terms of problem-solving, while satisfying all constraints of the system. The proposed approach also demonstrates the effectiveness of the GJO algorithm in the solution of complex optimization problems in power systems
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