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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

Reliability and voltage quality in distribution networks have been achieved via a combination of transformer power rating satisfaction and voltage management asset control. To maintain reliable operation under this paradigm, however, future…

Systems and Control · Electrical Eng. & Systems 2020-10-01 Thomas Navidi , Chloe Leblanc , Abbas El Gamal , Ram Rajagopal

As the energy landscape changes quickly, grid operators face several challenges, especially when integrating renewable energy sources with the grid. The most important challenge is to balance supply and demand because the solar and wind…

Machine Learning · Computer Science 2025-01-24 Kamal Sarkar

Renewable energy integration into microgrids has become a key approach to addressing global energy issues such as climate change and resource scarcity. However, the variability of renewable sources and the rising occurrence of High Impact…

Systems and Control · Electrical Eng. & Systems 2025-08-12 Mohammad Hossein Nejati Amiri , Fawaz Annaz , Mario De Oliveira , Florimond Gueniat

Nowadays, the transition from a conventional generation system to a renewable generation system is one of the most difficult challenges for system operators and companies. There are several reasons: the long-standing impact of investment…

Optimization and Control · Mathematics 2017-12-13 Cristina Roldán , Agustín A. Sánchez de la Nieta , Roberto Mínguez , Raquel García-Bertrand

Variable renewable generation increases the challenge of balancing power supply and demand. Grid-scale batteries co-located with generation can help mitigate this misalignment. This paper explores the use of reinforcement learning (RL) for…

Machine Learning · Computer Science 2024-11-26 Caleb Ju , Constance Crozier

The transformation of the energy system has raised concerns about the reliability of fully renewable energy systems. We address this question for a 2050 European energy system using an economically optimal adequacy assessment. Our results…

Optimization and Control · Mathematics 2026-03-02 David Franzmann , Nils Ludwig , Jochen Linßen , Detlef Stolten , Heidi Heinrichs

The limited capacity of distribution grids for hosting renewable generation is one of the main challenges towards the energy transition. Local energy markets, enabling direct exchange of energy between prosumers, help to integrate the…

Signal Processing · Electrical Eng. & Systems 2018-07-26 José Horta , Daniel Kofman , David Menga , Mathieu Caujolle

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

Electricity transmission expansion has suffered many delays in Europe in recent decades, despite its significance for integrating renewable electricity into the energy system. A hydrogen network which reuses the existing fossil gas network…

Physics and Society · Physics 2023-07-18 Fabian Neumann , Elisabeth Zeyen , Marta Victoria , Tom Brown

Dispatching strategies for gas turbines (GTs) are changing in modern electricity grids. A growing incorporation of intermittent renewable energy requires GTs to operate more but shorter cycles and more frequently on partial loads. Deep…

Machine Learning · Computer Science 2023-08-30 Manuel Sage , Martin Staniszewski , Yaoyao Fiona Zhao

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

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

On-device machine learning (ODML) enables intelligent applications on resource-constrained devices. However, power consumption poses a major challenge, forcing a trade-off between model accuracy and power efficiency that often limits model…

Machine Learning · Computer Science 2024-04-09 Haiguang Li , Usama Pervaiz , Michał Matuszak , Robert Kamara , Gilles Roux , Trausti Thormundsson , Joseph Antognini

Spatio-temporal generation patterns for wind and solar photovoltaic power in Europe are used to investigate the future rise in transmission needs with an increasing penetration of these variable renewable energy sources (VRES) on the…

Physics and Society · Physics 2014-02-13 Sarah Becker , Rolando A. Rodriguez , Gorm B. Andresen , Stefan Schramm , Martin Greiner

Renewable energy has attracted significant attention over the last decade, conceivably due to its environmental benefits and the recent drops in the development and deployment cost of the technology. The increase in renewable generation,…

Systems and Control · Computer Science 2016-10-25 Alireza Majzoobi , Amin Khodaei , Shay Bahramirad , Math H J Bollen

Dispatchable region for renewables (DRR) depicts a space for renewables that a power system operator can manage by dispatching controllable resources. The DRR can be used to evaluate the distance from an operating point to a secure boundary…

Optimization and Control · Mathematics 2023-08-29 Bin Liu , Thomas Brinsmead , Stefan Westerlund , Robert Davy

Current DER coordination schemes, such as demand-response and VPPs, aim to reduce electricity costs during peak demand events with no consideration of distribution grid reliability. We show that coordinating DERs for grid reliability can…

Systems and Control · Electrical Eng. & Systems 2023-07-18 Thomas Navidi , Abbas El Gamal , Ram Rajagopal

The growing share of renewable energy makes the optimization of power flows in power system models computationally more complicated, due to the widely distributed weather-dependent electricity generation. This article evaluates two methods…

Systems and Control · Electrical Eng. & Systems 2020-02-26 Oriol Raventós , Julian Bartels

Distribution grids across the world are undergoing profound changes due to advances in energy technologies. Electrification of the transportation sector and the integration of Distributed Energy Resources (DERs), such as photo-voltaic…

Systems and Control · Electrical Eng. & Systems 2021-04-02 Athindra Venkatraman , Anupam Thatte , Le Xie