AI Summary & Key Takeaways
AI InsightBesides, that the ability to allocate PVDG and DSTATCOM optimally while maintaining a voltage profile level within the permissible limit, where the TAPL and TVD decreased to 94.43% and 91.45%, respectively under the IEEE 33 bus and to 97.96% and 93.16% for the IEEE 69 bus is achieved for various scenarios using the proposed hybrid VAS-PSO algorithm.
📌 3 Key Takeaways
Abstract
The simultaneous integration of Distributed Generations (DGs) and Distribution Static Compensator (DSTATCOM) improves the operation of distribution systems and introduces multiple technical dimensions. The paper proposes a procedure for optimal integration of Photovoltaic Distributed Generation (PVDG) and Distribution Static Compensator (DSTATCOM) in Radial Distribution Systems (RDSs). The procedure is formulated as a composite objective function (COF). From the technical point of view, total active power losses (TAPL), total voltage deviation (TVD), voltage stability index (VSI), and voltage profile improvement level are considered. The method consists of a hybrid improvement technique combining velocity pausing and adaptive strategy (VAS) with a so-called PSO algorithm to enhance the solution quality of the proposed algorithm in comparison with other algorithms mentioned in the literature. The efficiency of the method is examined for 3 cases with a test setup having IEEE 33-bus and 69-bus RDSs. According to tests, the hybrid VAS-PSO algorithm shows that the simultaneous allocation of multiple PVDG and DSTATCOM in all standard test systems significantly achieves the lowest COF value (reduces the TAPL and TVD and enhances the voltage profile and VSI Compare) and presents better performance than the other tested algorithms. Besides, that the ability to allocate PVDG and DSTATCOM optimally while maintaining a voltage profile level within the permissible limit, where the TAPL and TVD decreased to 94.43% and 91.45%, respectively under the IEEE 33 bus and to 97.96% and 93.16% for the IEEE 69 bus is achieved for various scenarios using the proposed hybrid VAS-PSO algorithm.