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Load balancing for smart grid: centralized and distributed approaches

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thesis
posted on 24.05.2021, 15:03 by Mushu Li, Lian Zhao
As one of the greatest concerns in the context of smart grid, the load balancing problem is addressed by improving the electrical power efficiency and stability via scheduling power loads, thereby shaping the power demand into the desired pattern. The research explores the load balancing strategies to reduce the demand fluctuations in the smart grid systems. Centralized and decentralized load balancing methodologies are discussed. For centralized approaches, offline and online exact power allocation methods are investigated by utilizing the geometric water-filling (GWF) approach. Furthermore, decentralized load balancing problem is discussed at power distribution sub-network level. Electrical vehicle (EV) fleeting among the neighbouring charging stations is considered. Load balancing for the whole grid is achieved by local optimization processes via Proximal Jacobian Alternating Direction Method of Multipliers (ADMM) technique. Overall, facilitated by our proposed strategies, the reliability of the electric grid can be enhanced.

History

Language

eng

Degree

Master of Applied Science

Program

Electrical and Computer Engineering

Granting Institution

Ryerson University

LAC Thesis Type

Thesis