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Fast and safe voltage regulation algorithms can serve as fundamental schemes for achieving a high level of renewable penetration in the modern distribution power grids. Faced with uncertain or even unknown distribution grid models and…

Systems and Control · Electrical Eng. & Systems 2021-12-01 Yize Chen , Yuanyuan Shi , Daniel Arnold , Sean Peisert

The implementation of optimal power flow (OPF) methods to perform voltage and power flow regulation in electric networks is generally believed to require extensive communication. We consider distribution systems with multiple controllable…

Machine Learning · Computer Science 2019-08-15 Roel Dobbe , Oscar Sondermeijer , David Fridovich-Keil , Daniel Arnold , Duncan Callaway , Claire Tomlin

Under voltage load shedding (UVLS) for power grid emergency control builds the last defensive perimeter to prevent cascade outages and blackouts in case of contingencies. This letter proposes a novel cooperative multi-agent deep…

Systems and Control · Electrical Eng. & Systems 2023-10-23 Ying Zhang , Meng Yue

Increasing adoption of solar photovoltaic (PV) presents new challenges to modern power grid due to its variable and intermittent nature. Fluctuating outputs from PV generation can cause the grid violating voltage operation limits. PV smart…

Systems and Control · Electrical Eng. & Systems 2019-10-15 Changfu Li , Chenrui Jin , Ratnesh Sharma

This paper address the problem of voltage regulation in power distribution networks with deep penetration of distributed energy resources (DERs) without any explicit communication between the buses in the network. We cast the problem as an…

Optimization and Control · Mathematics 2013-08-02 Baosen Zhang , Alejandro D. Domiguez-Garcia , David Tse

As emerging networks such as Open Radio Access Networks (O-RAN) and 5G continue to grow, the demand for various services with different requirements is increasing. Network slicing has emerged as a potential solution to address the different…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-19 Fatemeh Lotfi , Fatemeh Afghah , Jonathan Ashdown

The recent success of single-agent reinforcement learning (RL) in Internet of things (IoT) systems motivates the study of multi-agent reinforcement learning (MARL), which is more challenging but more useful in large-scale IoT. In this…

Machine Learning · Computer Science 2020-09-01 Yue Xu , Zengde Deng , Mengdi Wang , Wenjun Xu , Anthony Man-Cho So , Shuguang Cui

Due to its property of not requiring prior knowledge of the environment, reinforcement learning has significant potential for quantum control problems. In this work, we investigate the effectiveness of continuous control policies based on…

Quantum Physics · Physics 2023-03-01 Shumin Zhou , Hailan Ma , Sen Kuang , Daoyi Dong

This paper develops a data-driven framework to synthesize local Volt/Var control strategies for distributed energy resources (DERs) in power distribution networks (DNs). Aiming to improve DN operational efficiency, as quantified by a…

Systems and Control · Electrical Eng. & Systems 2024-07-24 Zhenyi Yuan , Guido Cavraro , Manish K. Singh , Jorge Cortés

This paper considers an incremental Volt/Var control scheme for distribution systems with high integration of inverter-interfaced distributed generation (such as photovoltaic systems). The incremental Volt/Var controller is implemented with…

Systems and Control · Electrical Eng. & Systems 2024-12-16 Antonin Colot , Elisabetta Perotti , Mevludin Glavic , Emiliano Dall'Anese

Today, human operators primarily perform voltage control of the electric transmission system. As the complexity of the grid increases, so does its operation, suggesting additional automation could be beneficial. A subset of machine learning…

Machine Learning · Computer Science 2020-10-19 Brandon L. Thayer , Thomas J. Overbye

The model-based power allocation algorithm has been investigated for decades, but it requires the mathematical models to be analytically tractable and it usually has high computational complexity. Recently, the data-driven model-free…

Information Theory · Computer Science 2019-01-23 Fan Meng , Peng Chen , Lenan Wu , Julian Cheng

Due to the scarcity in the wireless spectrum and limited energy resources especially in mobile applications, efficient resource allocation strategies are critical in wireless networks. Motivated by the recent advances in deep reinforcement…

Information Theory · Computer Science 2021-12-30 Ziyang Lu , Chen Zhong , M. Cenk Gursoy

Renewable energy resources (RERs) have been increasingly integrated into distribution networks (DNs) for decarbonization. However, the variable nature of RERs introduces uncertainties to DNs, frequently resulting in voltage fluctuations…

Systems and Control · Electrical Eng. & Systems 2024-01-30 Jinhao Li , Ruichang Zhang , Hao Wang , Zhi Liu , Hongyang Lai , Yanru Zhang

Voltage regulation is critical for power grids. However, it has become a much more challenging problem as distributed energy resources (DERs) such as photovoltaic and wind generators are increasingly deployed, causing rapid voltage…

Systems and Control · Computer Science 2017-08-09 Xinyang Zhou , Masoud Farivar , Lijun Chen

The digitization and decentralization of the electric power grid are key thrusts for an economically and environmentally sustainable future. Towards this goal, distributed energy resources (DER), including rooftop solar panels, battery…

Cryptography and Security · Computer Science 2023-10-03 Ioannis Zografopoulos , Nikos D. Hatziargyriou , Charalambos Konstantinou

Federal Energy Regulatory Commission (FERC) Orders 841 and 2222 have recommended that distributed energy resources (DERs) should participate in energy and reserve markets; therefore, a mechanism needs to be developed to facilitate DERs'…

Systems and Control · Electrical Eng. & Systems 2023-05-09 Mukesh Gautam , Rakib Hossain , Mohammad MansourLakouraj , Narayan Bhusal , Mohammed Benidris , Hanif Livani

Active voltage control presents a promising avenue for relieving power congestion and enhancing voltage quality, taking advantage of the distributed controllable generators in the power network, such as roof-top photovoltaics. While…

Machine Learning · Computer Science 2024-09-04 Yang Qu , Jinming Ma , Feng Wu

The rising demand for electricity and its essential nature in today's world calls for intelligent home energy management (HEM) systems that can reduce energy usage. This involves scheduling of loads from peak hours of the day when energy…

Signal Processing · Electrical Eng. & Systems 2020-12-30 Alwyn Mathew , Abhijit Roy , Jimson Mathew

Power grids heavily rely on Automatic Generation Control (AGC) systems to maintain grid stability by balancing generation and demand. However, the increasing digitization and interconnection of power grid infrastructure expose AGC systems…

Systems and Control · Electrical Eng. & Systems 2024-04-29 Vasileios Dimitropoulos , Andreas D. Syrmakesis , Nikos Hatziargyriou