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This paper introduces an efficient Residual Reinforcement Learning (RRL) framework for voltage control in active distribution grids. Voltage control remains a critical challenge in distribution grids, where conventional Reinforcement…

Systems and Control · Electrical Eng. & Systems 2025-12-30 Sarra Bouchkati , Ramil Sabirov , Steffen Kortmann , Andreas Ulbig

In the near future various types of low-carbon technologies (LCTs) are expected to be widely employed throughout the United Kingdom. However, the effect that these technologies will have at a household level on the existing low voltage (LV)…

Physics and Society · Physics 2016-06-27 Laura Hattam , Danica Vukadinovic Greetham

The precise knowledge regarding the state of the power grid is important in order to ensure optimal and reliable grid operation. Specifically, knowing the state of the distribution grid becomes increasingly important as more renewable…

Systems and Control · Electrical Eng. & Systems 2020-02-18 Jonatan Ostrometzky , Konstantin Berestizshevsky , Andrey Bernstein , Gil Zussman

In this paper, we present a novel data-driven approach to detect outage events in partially observable distribution systems by capturing the changes in smart meters' (SMs) data distribution. To achieve this, first, a breadth-first search…

Systems and Control · Electrical Eng. & Systems 2019-12-12 Yuxuan Yuan , Kaveh Dehghanpour , Fankun Bu , Zhaoyu Wang

The increasing penetration of DER with smart-inverter functionality is set to transform the electrical distribution network from a passive system, with fixed injection/consumption, to an active network with hundreds of distributed…

The concept of plug-in electric vehicles (PEV) are gaining increasing popularity in recent years, due to the growing societal awareness of reducing greenhouse gas (GHG) emissions, and gaining independence on foreign oil or petroleum.…

Optimization and Control · Mathematics 2015-03-19 Qiao Li , Tao Cui , Rohit Negi , Franz Franchetti , Marija D. Ilic

Smart grids are designed to efficiently handle variable power demands, especially for large loads, by real-time monitoring, distributed generation and distribution of electricity. However, the grid's distributed nature and the internet…

Systems and Control · Electrical Eng. & Systems 2024-11-26 Anjana B. , Suman Maiti , Sunandan Adhikary , Soumyajit Dey , Ashish R. Hota

High variability of solar PV and sudden changes in load (e.g., electric vehicles and storage) can lead to large voltage fluctuations in the distribution system. In recent years, a number of controllers have been designed to optimize voltage…

Systems and Control · Electrical Eng. & Systems 2025-09-15 Wenqi Cui , Yiheng Xie , Steven Low , Adam Wierman , Baosen Zhang

Short-Term Electricity-Load Forecasting (STELF) refers to the prediction of the immediate demand (in the next few hours to several days) for the power system. Various external factors, such as weather changes and the emergence of new…

Machine Learning · Computer Science 2025-05-20 Qi Dong , Rubing Huang , Chenhui Cui , Dave Towey , Ling Zhou , Jinyu Tian , Jianzhou Wang

Accurate electrical load forecasting is crucial for optimizing power system operations, planning, and management. As power systems become increasingly complex, traditional forecasting methods may fail to capture the intricate patterns and…

Systems and Control · Electrical Eng. & Systems 2024-11-26 Elias Raffoul , Mingjian Tuo , Cunzhi Zhao , Tianxia Zhao , Meng Ling , Xingpeng Li

Short-term forecasting of residential electricity demand is an important task for utilities. Yet, many small and medium-sized utilities still use simple forecasting approaches such as Synthesized Load Profiles, which treat residential…

Computers and Society · Computer Science 2025-03-10 Daniel R. Bayer , Felix Haag , Marco Pruckner , Konstantin Hopf

Precise load forecasting in buildings could increase the bill savings potential and facilitate optimized strategies for power generation planning. With the rapid evolution of computer science, data-driven techniques, in particular the Deep…

Machine Learning · Computer Science 2023-01-30 Menna Nawar , Moustafa Shomer , Samy Faddel , Huangjie Gong

Distributed vertical power delivery (DVPD) architectures employ multiple parallel voltage regulators (VRs) to meet the high-power and high current density demands of modern high performance computing (HPC) systems. While full parallel…

Systems and Control · Electrical Eng. & Systems 2026-05-26 Sriharini Krishnakumar , Inna Partin-Vaisband

To meet the growing quest for enhanced network capacity, mobile network operators (MNOs) are deploying dense infrastructures of small cells. This, in turn, increases the power consumption of mobile networks, thus impacting the environment.…

Networking and Internet Architecture · Computer Science 2020-08-11 Dagnachew Azene Temesgene , Marco Miozzo , Deniz Gündüz , Paolo Dini

Despite their wide-scale deployment and ability to make accurate high-frequency voltage measurements, communication network limitations have largely precluded the use of smart meters for real-time monitoring purposes in electric…

Systems and Control · Electrical Eng. & Systems 2024-10-29 Samuel Talkington , Rahul Gupta , Richard Asiamah , Paprapee Buason , Daniel K. Molzahn

Last-mile carriers increasingly incorporate electric vehicles (EVs) into their delivery fleet to achieve sustainability goals. This goal presents many challenges across multiple planning spaces including but not limited to how to plan EV…

Machine Learning · Computer Science 2024-08-23 André Snoeck , Aniruddha Bhargava , Daniel Merchan , Josiah Davis , Julian Pachon

Battery storage, particularly residential battery storage coupled with rooftop PV, is emerging as an essential component of the smart grid technology mix. However, including battery storage and other flexible resources like electric…

Systems and Control · Computer Science 2019-04-16 Yiju Ma , Donald Azuatalam , Thomas Power , Gregor Verbic , Archie C. Chapman

This paper considers the problem of voltage regulation in distribution networks. The primary motivation is to keep voltages within preassigned operating limits by commanding the reactive power output of distributed energy resources (DERs)…

Systems and Control · Electrical Eng. & Systems 2022-08-22 Guido Cavraro , Zhenyi Yuan , Manish K. Singh , Jorge Cortés

From an operational and planning perspective, it is important to quantify the impact of increasing penetration of photovoltaics on the distribution system. Most existing impact assessment studies are scenario-based where derived results are…

Systems and Control · Electrical Eng. & Systems 2021-04-30 Sai Munikoti , Balasubramaniam Natarajan , Kumarsinh Jhala , Kexing Lai

The growing integration of distributed energy resources (DERs) in distribution grids raises various reliability issues due to DER's uncertain and complex behaviors. With a large-scale DER penetration in distribution grids, traditional…

Signal Processing · Electrical Eng. & Systems 2021-04-06 Yizheng Liao , Yang Weng , Chin-woo Tan , Ram Rajagopal
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