Decentralized Stochastic Recursive Gradient Method for Fully Decentralized OPF in Multi-Area Power Systems

Umair Hussan, Huaizhi Wang (), Muhammad Ahsan Ayub, Hamna Rasheed, Muhammad Asghar Majeed, Jianchun Peng and Hui Jiang
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Umair Hussan: College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518000, China
Huaizhi Wang: College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518000, China
Muhammad Ahsan Ayub: College of Physics and Optoelectronics Engineering, Shenzhen University, Shenzhen 518000, China
Hamna Rasheed: College of Physics and Optoelectronics Engineering, Shenzhen University, Shenzhen 518000, China
Muhammad Asghar Majeed: Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Pathumwan, Bangkok 10330, Thailand
Jianchun Peng: College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518000, China
Hui Jiang: College of Physics and Optoelectronics Engineering, Shenzhen University, Shenzhen 518000, China

Mathematics, 2024, vol. 12, issue 19, 1-16

Abstract: This paper addresses the critical challenge of optimizing power flow in multi-area power systems while maintaining information privacy and decentralized control. The main objective is to develop a novel decentralized stochastic recursive gradient (DSRG) method for solving the optimal power flow (OPF) problem in a fully decentralized manner. Unlike traditional centralized approaches, which require extensive data sharing and centralized control, the DSRG method ensures that each area within the power system can make independent decisions based on local information while still achieving global optimization. Numerical simulations are conducted using MATLAB (Version 24.1.0.2603908) to evaluate the performance of the DSRG method on a 3-area, 9-bus test system. The results demonstrate that the DSRG method converges significantly faster than other decentralized OPF methods, reducing the overall computation time while maintaining cost efficiency and system stability. These findings highlight the DSRG method’s potential to significantly enhance the efficiency and scalability of decentralized OPF in modern power systems.

Keywords: decentralized stochastic recursive gradient (DSRG); optimal power flow (OPF); decentralized operation; multi-area power system (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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