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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

As power systems are undergoing a significant transformation with more uncertainties, less inertia and closer to operation limits, there is increasing risk of large outages. Thus, there is an imperative need to enhance grid emergency…

Machine Learning · Computer Science 2022-02-08 Renke Huang , Yujiao Chen , Tianzhixi Yin , Qiuhua Huang , Jie Tan , Wenhao Yu , Xinya Li , Ang Li , Yan Du

Mobile energy storage systems (MESSs) provide mobility and flexibility to enhance distribution system resilience. The paper proposes a Markov decision process (MDP) formulation for an integrated service restoration strategy that coordinates…

Optimization and Control · Mathematics 2020-03-30 Shuhan Yao , Jiuxiang Gu , Peng Wang , Tianyang Zhao , Huajun Zhang , Xiaochuan Liu

This paper presents a multi-agent Deep Reinforcement Learning (DRL) framework for autonomous control and integration of renewable energy resources into smart power grid systems. In particular, the proposed framework jointly considers demand…

Millions of battery-powered sensors deployed for monitoring purposes in a multitude of scenarios, e.g., agriculture, smart cities, industry, etc., require energy-efficient solutions to prolong their lifetime. When these sensors observe a…

Machine Learning · Computer Science 2021-09-30 Jernej Hribar , Andrei Marinescu , Alessandro Chiumento , Luiz A. DaSilva

The global energy landscape is undergoing a transformation towards decarbonization, sustainability, and cost-efficiency. In this transition, microgrid systems integrated with renewable energy sources (RES) and energy storage systems (ESS)…

Systems and Control · Electrical Eng. & Systems 2024-11-05 Fulong Yao , Wanqing Zhao , Matthew Forshaw , Yang Song

Multi-energy microgrid (MEMG) offers an effective approach to deal with energy demand diversification and new energy consumption on the consumer side. In MEMG, it is critical to deploy an energy management system (EMS) for efficient…

Systems and Control · Electrical Eng. & Systems 2023-12-01 Yang Cui , Yang Xu , Yang Li , Yijian Wang , Xinpeng Zou

Energy management systems (EMS) are becoming increasingly important in order to utilize the continuously growing curtailed renewable energy. Promising energy storage systems (ESS), such as batteries and green hydrogen should be employed to…

Machine Learning · Computer Science 2022-12-13 Dongju Kang , Doeun Kang , Sumin Hwangbo , Haider Niaz , Won Bo Lee , J. Jay Liu , Jonggeol Na

As distributed energy resources (DERs) grow, the electricity grid faces increased net load variability at the grid edge, impacting operability and reliability. Transactive energy, facilitated through local energy markets, offers a…

Systems and Control · Electrical Eng. & Systems 2024-11-18 Daniel May , Matthew Taylor , Petr Musilek

Modern renewables-based power systems need to tap on the flexibility of Distributed Energy Resources (DERs) connected to distribution networks. It is important, however, that DER owners/users remain in control of their assets, decisions,…

Systems and Control · Electrical Eng. & Systems 2025-04-30 Costas Mylonas , Emmanouel Varvarigos , Georgios Tsaousoglou

Wireless sensor networks consist of randomly distributed sensor nodes for monitoring targets or areas of interest. Maintaining the network for continuous surveillance is a challenge due to the limited battery capacity in each sensor.…

Machine Learning · Computer Science 2023-10-03 Ngoc Bui , Phi Le Nguyen , Viet Anh Nguyen , Phan Thuan Do

Power system emergency control is generally regarded as the last safety net for grid security and resiliency. Existing emergency control schemes are usually designed off-line based on either the conceived "worst" case scenario or a few…

Machine Learning · Computer Science 2019-04-23 Qiuhua Huang , Renke Huang , Weituo Hao , Jie Tan , Rui Fan , Zhenyu Huang

The massive integration of renewable-based distributed energy resources (DERs) inherently increases the energy system's complexity, especially when it comes to defining its operational schedule. Deep reinforcement learning (DRL) algorithms…

Systems and Control · Electrical Eng. & Systems 2023-05-10 Hou Shengren , Pedro P. Vergara , Edgar Mauricio Salazar Duque , Peter Palensky

Taking advantage of their data-driven and model-free features, Deep Reinforcement Learning (DRL) algorithms have the potential to deal with the increasing level of uncertainty due to the introduction of renewable-based generation. To deal…

Systems and Control · Electrical Eng. & Systems 2022-08-02 Hou Shengren , Edgar Mauricio Salazar , Pedro P. Vergara , Peter Palensky

The increasing demand for autonomous systems in complex and dynamic environments has driven significant research into intelligent path planning methodologies. For decades, graph-based search algorithms, linear programming techniques, and…

Grid resilience is crucial in light of power interruptions caused by increasingly frequent extreme weather events. Well-designed energy management systems (EMS) have made progress in improving microgrid resilience through the coordination…

Systems and Control · Electrical Eng. & Systems 2026-01-21 Yin Wu , Wei-Yu Chiu , Yuan-Po Tsai , Shangyuan Liu , Weiqi Hua

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

Academic research in the field of autonomous vehicles has reached high popularity in recent years related to several topics as sensor technologies, V2X communications, safety, security, decision making, control, and even legal and…

Machine Learning · Computer Science 2020-01-31 Szilárd Aradi

The ongoing energy transition drives the development of decentralised renewable energy sources, which are heterogeneous and weather-dependent, complicating their integration into energy systems. This study tackles this issue by introducing…

Machine Learning · Computer Science 2024-07-01 Marine Cauz , Adrien Bolland , Nicolas Wyrsch , Christophe Ballif

Building loads consume roughly 40% of the energy produced in developed countries, a significant part of which is invested towards building temperature-control infrastructure. Therein, renewable resource-based microgrids offer a greener and…

Systems and Control · Electrical Eng. & Systems 2021-07-20 Rumia Masburah , Sayan Sinha , Rajib Lochan Jana , Soumyajit Dey , Qi Zhu
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