Energy Management in Smart Distribution Networks with Load Shifting Using Cyber-Physical Systems
Subject Areas : journal of Artificial Intelligence in Electrical Engineering
1 - Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
Keywords: : Load Shifting, Cyber-Physical Systems, Smart Distribution Networks, Energy Management.,
Abstract :
Traditional electricity distribution networks face significant limitations when confronted with increased load during peak hours. Voltage fluctuations, power quality degradation, and even widespread blackouts are among the consequences of this load increase. Cyber-Physical Systems, alongside renewable energy generators and energy storage units, enable intelligent and optimal control of energy resources.
In this paper, an intelligent control strategy for dynamic load shifting from peak hours to off-peak hours is presented. Utilizing Cyber-Physical Systems and data obtained from load flow analysis, optimization algorithms have been designed to reduce energy production and distribution costs through intelligent load management and the energy stored in batteries. Simulations performed on the IEEE 33-bus system demonstrate that this proposed method effectively leads to reduced network losses, decreased operational costs, and improved system stability.
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