Intelligent Control for Voltage Regulation in the Distribution Network Equipped with PV Farm

Jasim Ghaeb, Samer Salah () and Firas Obeidat
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Jasim Ghaeb: Mechatronics Engineering Department, Faculty of Engineering, Philadelphia University, Amman 19392, Jordan
Samer Salah: Mechatronics Engineering Department, Faculty of Engineering, Philadelphia University, Amman 19392, Jordan
Firas Obeidat: Renewable Energy Engineering, Faculty of Engineering, Philadelphia University, Amman 19392, Jordan

Energies, 2022, vol. 16, issue 1, 1-15

Abstract: A combined PSO-ANN control is proposed in this work to achieve the best voltage regulation in a distribution network, based on quick response and minimum average voltage deviation. The Jordanian Sabha Distribution Network (JSDN) with PV Farms is used as a real case study to examine a voltage variation issue. Two STATCOMs are used to solve the voltage fluctuation problem on the network’s three buses. The required reactive powers of STATCOMs for voltage regulation during load variation are calculated in offline mode using a particle swarm optimization (PSO) algorithm. Despite its high performance in solving voltage issue in the JSDN network, the PSO controller is unable to react promptly to dynamic changes in the network. An artificial neural network (ANN) is therefore suggested as an online mode controller for quick and efficient voltage regulation. The offline dataset is used to train the ANN for online voltage regulation utilizing the MATLAB-Tool Box. At an average voltage deviation (AVD) of 1.168%; (whereas an acceptable one is 6%), the results revealed the proposed ANN controller’s competence for voltage regulation in the distribution network. Moreover, to find the best position based on an efficient voltage regulation, many sites for STATCOMs are taken into consideration.

Keywords: renewable energy; smart grids; distribution networks; STATCOMs; PV systems (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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