Optimal Allocation of Distributed Thyristor Controlled Series Compensators in Power System Considering Overload, Voltage, and Losses with Reliability Effect

Mohsen Khalili, Touhid Poursheykh Aliasghari, Ebrahim Seifi Najmi, Almoataz Y. Abdelaziz (), A. Abu-Siada () and Saber Arabi Nowdeh
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Mohsen Khalili: CTIF Global Capsule, Department of Business Development and Technology, Aarhus University, Herning 7400, Denmark
Touhid Poursheykh Aliasghari: School of Industrial and Information Engineering, Politecnico di Milano, 20133 Milan, Italy
Ebrahim Seifi Najmi: Roshdieh Higher Institute of Education, Tabriz 5166616471, Iran
Almoataz Y. Abdelaziz: Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
A. Abu-Siada: Electrical and Computer Engineering Discipline, Curtin University, Perth, WA 6102, Australia
Saber Arabi Nowdeh: Golestan Technical and Vocational Training Center, Golestan 87349-49318, Iran

Energies, 2022, vol. 15, issue 20, 1-25

Abstract: In this paper, optimal allocation of a distributed thyristor-controlled series compensator (DTCSC) in a power system is presented to minimize overload, voltage deviations, and power losses while improving system reliability. The decision variable was defined as the optimal reactance of the DTCSC in the power system, which was determined using a new meta-heuristic algorithm named the improved equilibrium optimization algorithm (IEOA). A nonlinear inertia weight reduction strategy was used to improve the performance of traditional EOA in preventing premature convergence and facilitate a quick global optimum solution. The effect of system critical line outage was evaluated for each of the considered goals. To evaluate the effectiveness of the proposed methodology, IEOA capability was compared with particle swarm optimization (PSO) and manta ray foraging optimizer (MRFO) methods. Simulations were carried out considering different scenarios on 14- and 118-bus test systems. The results showed that, for all scenarios, optimal allocation of DTCSC could result in a significant reduction in overloading, voltage deviation of network buses, as well as power losses under the condition of line outage, due to the optimal injection of reactive power. In all investigated scenarios, our results attested to the superiority of the IEOA over the traditional EOA, PSO, and MRFO in achieving a better value for the objective function. In addition, the results showed that improving reliability in the objective function could eliminate overloading, and hence, introduce further improvement in each of the objectives.

Keywords: distributed thyristor controlled series compensator; optimal allocation; overload; reliability; improved equilibrium optimization algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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