Security Enhancement through the Allocation of a Unified Power Flow Controller (UPFC) in a Power Network for Congestion Management

Abstract

The electricity demand is continuously increasing, so a most efficient use of the current power system's capacity is desired. Flexible AC Transmission Systems (FACTSs), a recently developed transmission technology, are widely used to boost the power transfer ability of long-distance transmission line networks and to enhance the consistency of the transmission systems. The use of FACTS devices can lead to reduced flows on heavily loaded lines, targeted bus voltage levels, and better power network stability. In this study, an optimization method based on the optimal position of the Unified Power Flow Controller (UPFC) is suggested to boost system security. It is decided that the real power flow is the best place for the UPFC in this instance. The optimal placement during congestion has been determined using the Genetic Algorithm (GA) and the sensitivity to the useful power flow index. Congestion is produced on the network and system performance is evaluated. The proposed solutions are evaluated in the IEEE 30 bus network before being implemented in MATLAB. In the case of congestion, the security of the network is evaluated after connecting the UPFC. The effectiveness of the proposed solution was verified with the help of the Power World Simulator 16.0.

Penggunaan Unified Power Flow Controller (UPFC) Untuk Meningkatkan Profil Tegangan Pada Sistem Kelistrikan 150 KV Bali

“…STATCOM sendiri adalah peralatan yang dapat meningkatkan stabilitas tegangan sistem tenaga dan meningkatkan kekuatan osilasi redaman dalam sistem, hal ini didasarkan pada elektronika daya tegangan sumber converter dan dapat bertindak baik sebagai sumber dari listrik AC yang aktif sehingga STATCOM dipasang untuk mendukung jaringan listrik yang memiliki faktor daya yang buruk dan untuk regulasi tegangan (Asihene, Effah, and Normanyo 2020). Sedangkan SSSC adalah peralatan yang dapat dioperasikan tanpa menggunakan sumber energi listrik eksternal sebagai kompensator seri yang dikendalikan secara independen untuk meningkatkan atau menurunkan keseluruhan drop tegangan reaktif, dengan demikian SSSC termasuk alat yang dapat menyimpan energi atau menyerap energi untuk meningkatkan perilaku dinamis dari sistem dengan tambahan kompensasi daya nyata sementara (Rajderkar and Chandrakar 2023).…”

Congestion Management using the Circulatory System Based Optimization Algorithm

“…In the mathematical approach, Benders Decomposition (BD) [2] and Relative Electrical Distance (RED) [3] were proposed to solve the CM problem with real power generation. On the other hand, fuzzy adaptive bacterial foraging [4], hybrid Differential Evolution with Particle Swarm Optimization (DEPSO) [5], fuzzy [6], Multi-objective Particle Swarm Optimization (MPSO) [7], Particle Swarm Optimization (PSO) [8], Teaching-Learning-Based Optimization (TLBO) [9], Artificial Bee Colony (ABC) [10], Moth Flame Optimization (MFO) [11], Genetic Algorithm (GA) [12], Cuckoo Search Algorithm (COA) [13], Improved Manta Ray Foraging Optimization (IMRFO) [14], and Twin Extremity Chaotic Map Adaptive Particle Swarm Optimization (TECM-PSO) [15] have been proposed as metaheuristic approaches. In general, both mathematical and metaheuristic approaches are successfully applied to figure out CM problems.…”