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As photovoltaic (PV) penetration continues to rise and smart inverter functionality continues to expand, smart inverters and other distributed energy resources (DERs) will play increasingly important roles in distribution system power…

Numerical Analysis · Mathematics 2024-10-28 Zachary R. Atkins , Christopher J. Vogl , Achintya Madduri , Nan Duan , Agnieszka K. Miedlar , Daniel Merl

Integration of renewable energy sources and emerging loads like electric vehicles to smart grids brings more uncertainty to the distribution system management. Demand Side Management (DSM) is one of the approaches to reduce the uncertainty.…

Machine Learning · Computer Science 2021-09-28 Elahe Khoshbakhti Vaygan , Roozbeh Rajabi , Abouzar Estebsari

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

Most existing phase balancing and topology reconfiguration problems are formulated as mixed-integer optimization problems that depend on network topologies~\cite{10098964,11017695,10571996}. However, these topologies are often inaccurate…

Systems and Control · Electrical Eng. & Systems 2026-03-30 Dong Liu , Sander Timmerman , Yu Xiang , Ensieh Hosseini , Peter Palensky , Pedro P. Vergara

The increasing adoption of distributed energy resources, particularly photovoltaic (PV) panels, has presented new and complex challenges for power network control. With the significant energy production from PV panels, voltage issues in the…

Systems and Control · Electrical Eng. & Systems 2024-09-17 Maurizio Vassallo , Amina Benzerga , Alireza Bahmanyar , Damien Ernst

Electricity is one of the mandatory commodities for mankind today. To address challenges and issues in the transmission of electricity through the traditional grid, the concepts of smart grids and demand response have been developed. In…

Efficient load forecasting is needed to ensure better observability in the distribution networks, whereas such forecasting is made possible by an increasing number of smart meter installations. Because distribution networks include a large…

Machine Learning · Computer Science 2022-04-04 Miha Grabner , Yi Wang , Qingsong Wen , Boštjan Blažič , Vitomir Štruc

The decarbonization of for example the energy or heat sector leads to the transformation of distribution grids. The expansion of decentralized energy resources and the integration of new consumers due to sector coupling (e.g. heat pumps or…

Systems and Control · Electrical Eng. & Systems 2023-03-15 Armin Fatemi , Franziska Tischbein , Frank Wirtz , Christin Schmoger , Stefan Dorendorf , Annika Schurtz , David Echternacht , Andreas Ulbig

The increased deployment of distributed energy generation and the integration of new, large electric loads such as electric vehicles and heat pumps challenge the correct and reliable operation of low voltage distribution systems. To tackle…

Systems and Control · Electrical Eng. & Systems 2022-04-14 Alexander Hoogsteyn , Marta Vanin , Arpan Koirala , Dirk Van Hertem

Predicting electric vehicle (EV) charging events is crucial for load scheduling and energy management, promoting seamless transportation electrification and decarbonization. While prior studies have focused on EV charging demand prediction,…

Machine Learning · Computer Science 2024-03-21 Fucai Ke , Hao Wang

With the booming growth of advanced digital technologies, it has become possible for users as well as distributors of energy to obtain detailed and timely information about the electricity consumption of households. These technologies can…

Signal Processing · Electrical Eng. & Systems 2022-09-16 Mohamed Aymane Ahajjam , Daniel Bonilla Licea , Mounir Ghogho , Abdellatif Kobbane

The growing popularity of e-mobility, heat pumps, and renewable generation such as photovoltaics is leading to scenarios which the distribution grid was not originally designed for. Moreover, parts of the distribution grid are only sparsely…

Networking and Internet Architecture · Computer Science 2024-04-04 Simon Grafenhorst , Kevin Förderer , Veit Hagenmeyer

Recently there has been significant research on power generation, distribution and transmission efficiency especially in the case of renewable resources. The main objective is reduction of energy losses and this requires improvements on…

Machine Learning · Statistics 2016-06-17 Stefan Hosein , Patrick Hosein

As the share of Distributed energy resources (DER) in the low voltage distribution network (DN) is expected to rise, a higher and more variable electric load and generation could stress the DNs, leading to increased congestion and power…

Systems and Control · Electrical Eng. & Systems 2024-09-17 Geert Mangelschots , Sari Kerckhove , Md Umar Hashmi , Dirk Van Hertem

Energy forecasting has a vital role to play in smart grid (SG) systems involving various applications such as demand-side management, load shedding, and optimum dispatch. Managing efficient forecasting while ensuring the least possible…

Machine Learning · Computer Science 2022-05-25 Devinder Kaur , Shama Naz Islam , Md. Apel Mahmud , Md. Enamul Haque , ZhaoYang Dong

This paper defines a Maximum Likelihood Estimator (MLE) for the admittance matrix estimation of distribution grids, utilising voltage magnitude and power measurements collected only from common, unsychronised measuring devices (Smart…

Systems and Control · Electrical Eng. & Systems 2022-10-06 Lisa Laurent , Jean-Sébastien Brouillon , Giancarlo Ferrari-Trecate

Modern advances in sensor, computing, and communication technologies enable various smart grid applications. The heavy dependence on communication technology has highlighted the vulnerability of the electricity grid to false data injection…

Cryptography and Security · Computer Science 2018-09-18 Xiangyu Niu Jiangnan Li , Jinyuan Sun

Low voltage distribution networks (LVDNs) suffer from limited visibility due to sparse or nonexistent measurement systems, leaving distribution network service providers with incomplete data. Maintenance activities, such as transformer…

Systems and Control · Electrical Eng. & Systems 2025-02-27 Sina Mohammadi , Van-Hai Bui , Wencong Su

The global energy landscape is undergoing a profound transformation, often referred to as the energy transition, driven by the urgent need to mitigate climate change, reduce greenhouse gas emissions, and ensure sustainable energy supplies.…

Machine Learning · Computer Science 2025-05-08 Stavros Sykiotis

Integrating renewable energy sources into the power grid is becoming increasingly important as the world moves towards a more sustainable energy future in line with SDG 7. However, the intermittent nature of renewable energy sources can…