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Voltage Control in Smart City Low Voltage Distribution Networks Using Artificial Intelligence and Power Electronics
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Author(s): Rampelli Manojkumar (BVRIT HYDERABAD College of Engineering for Women, India), P. Aruna (BVRIT HYDERABAD College of Engineering for Women, India), Chamakura Krishna Reddy (BVRIT HYDERABAD College of Engineering for Women, India), C. Venkata Subba Reddy (BVRIT HYDERABAD College of Engineering for Women, India), Gumpu Srinivasulu (Maulana Azad National Institute of Technology, India)and Arindam Mitra (National Institute of Technology, Rourkela, India)
Copyright: 2026
Pages: 30
Source title:
AI-Based Data Mobility and Intelligent Modeling for Smart Cities
Source Author(s)/Editor(s): Sultan Ahmad (Prince Sattam Bin Abdulaziz University, Saudi Arabia), Sudan Jha (Kathmandu University, Nepal)and Md Alimul Haque (Veer Kunwar Singh University, India)
DOI: 10.4018/979-8-3373-4202-3.ch013
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Abstract
Voltage stability is a critical aspect of ensuring reliable power supply in smart city low voltage (LV) networks, where increasing penetration of renewable energy sources and dynamic demand patterns present operational challenges. This study proposes an AI-enhanced optimal voltage control method implemented using smart power converters with real-time monitoring and adjustment capabilities. The control strategy employs the Exhaustive Search Method (ESM) to determine optimal reference voltage set points by evaluating all possible solutions within a defined range. The method is applied to the CIGRE LV residential distribution network under worst-case PV and load conditions. Compared to the base case, the proposed method—using a step size of 0.001—achieves a significant reduction in total voltage deviation, with improvements ranging from 88.05% to 90.78%. The results confirm that the integration of artificial intelligence and power electronics enables effective voltage regulation, making the approach well-suited for smart city applications.
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