Article
Engineering, Electrical & Electronic
Rahman Ashrafi, Meysam Amirahmadi, Mohammad Tolou-Askari, Vahid Ghods
Summary: This paper proposes resilience enhancement programs for smart grids to mitigate the impact of extreme weather conditions by rescheduling resources and selecting suitable reconfigurations. The objective is to minimize operational costs and penalty costs for energy not supplied while maximizing benefits for energy resource owners. Multiple simulations show the efficiency of the proposed model in comparison to traditional grids during extreme weather conditions.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Review
Energy & Fuels
Ahmed Daeli, Salman Mohagheghi
Summary: Extreme weather events are a major cause of widespread power outages in distribution systems. The changing climate has increased the frequency and severity of these events, requiring a paradigm shift in grid design practices. Researchers have proposed various solutions to improve the resilience of the power grid against extreme events, but there is a lack of standard definitions and metrics for assessing resilience. This paper provides a literature review on the resilience of power grid infrastructure and identifies gaps in research and future directions.
Article
Engineering, Electrical & Electronic
Dimitris N. Trakas, Nikos D. Hatziargyriou
Summary: This paper proposes a transmission resilience planning solution based on historical extreme weather events, aiming to enhance power system resilience by determining the underground placement of transmission lines to minimize load shedding.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Energy & Fuels
Amitkumar Jha, Bhargav Appasani, Taha Selim Ustun
Summary: This paper discusses the resiliency analysis of the synchrophasor communication network (SCN) in the smart grid cyber-physical system (SGCPS). It presents a comprehensive resiliency metric and evaluation methodology, and analyzes the resiliency of SCNs in the practical power grid of West Bengal State, India.
Article
Engineering, Electrical & Electronic
Zhaochen Wang, Zengping Wang
Summary: This paper proposes a preventive islanding scheme under extreme typhoon events to prevent the occurrence and propagation of cascading faults. It models and evaluates the outage probability of transmission branches under typhoon events using the Batts typhoon model and fragility curve. It also proposes a preventive islanding criterion based on power flow calculation to describe the damage degree and provide a decision-making basis for preventive islanding.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Rui Fan, Runjia Sun, Yutian Liu, Elena Gryazina, Vladimir Terzija
Summary: Frequent extreme hot weather can lead to increased air conditioner load and higher likelihood of power outages. An adaptive load restoration strategy is proposed, which uses flexible control of air conditioners and reliable power sources to restore power to customers under different operating conditions and outage scenarios. An estimation model is established to evaluate the amount of load pickup, taking into account outage duration and environmental temperature. Simulation results show that the proposed method can rapidly and securely restore power supply to customers, enhancing power grid resilience under extreme hot weather.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Farshid Dehghani, Mohammad Mohammadi, Mazaher Karimi
Summary: This study proposes a transparent methodology and a set of metrics to quantify the resilience of distribution systems subjected to hurricanes. The methodology includes probabilistic modeling of failure probability and restoration time, age-dependent fragility analysis, and assessment of resilience considering different lifetimes. The metrics, vulnerability rate and restoration rate, accurately assess and quantify power system resilience.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Albert Gili Selga, Daniel Sanchez Munoz, Jose Luis Dominguez-Garcia
Summary: Climate change and new threats like cyberattacks are stressing the electric grid and making it more vulnerable. Therefore, the resilience of the power grid is being studied by researchers, who aim to identify key performance indicators that describe disruptive events and prioritize investments in renewable sources to minimize impacts. A case study of flooding in Barcelona shows the vulnerability of the city's power grid and the potential of renewable energies to mitigate consequences.
Article
Engineering, Electrical & Electronic
Hany A. Abdelsalam, Abdelrahman Eldosouky, Anurag K. Srivastava
Summary: This article introduces a weighted average consensus mechanism to improve the resilience of the distribution system. By detecting failures and isolated nodes and considering critical and non-critical loads, DER-based microgrids are formed.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Weiqi Pan, Yang Li
Summary: This study analyzed the role of Distributed Energy Resources (DERs) in the 2021 Texas power crisis and emphasized the importance of effective regulation and management in improving power grid resilience under extreme weather conditions.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Mehdi Paktinat, Meysam Amirahmadi, Mohammad Tolou-Askari, Farhood Mousavizadeh
Summary: This paper proposes a method to improve the resilience and performance of power systems through the cooperation of variable energy sources and the thermal sector in multi-carrier energy systems. The information gap decision theory is applied to model the uncertainty of power outages, and simulation results demonstrate the effectiveness of the proposed model.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Xianglong Lian, Tong Qian, Zepeng Li, Xingyu Chen, Wenhu Tang
Summary: This research develops a quantitative assessment framework to improve the resilience of power systems against extreme weather events. It includes the identification of vulnerable lines and the development of a novel assessment index. Simulation results on a test system demonstrate that the framework is able to identify vulnerable lines and assess the resilience of power systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Pangedaiah Bezawada, Pedda Obulesu Yeddula, Venkata Reddy Kota
Summary: A time-domain passive islanding detection technique for a grid-connected hybrid distributed generating system using modified empirical mode decomposition (MOEMD) is developed in this paper. The proposed method can effectively identify various islanding cases under different operating conditions and has low computational time.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Sadegh Kamali, Turaj Amraee, Mahmud Fotuhi-Firuzabad
Summary: This study presents a transient stability constrained controlled islanding approach against cascading events in power systems, utilizing wide area measurements to implement the islanding algorithm based on the dynamic conditions of the resulted islands. The proposed method aims to improve transient stability and reduce power imbalance by introducing a transient energy function for proper network partitioning.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Industrial
Justinas Jasiunas, Tatu Heikkinen, Peter D. Lund, Ilona Lang-Ritter
Summary: A small number of strong windstorms can cause major power interruptions and potentially shift the strategic direction of energy system development. Existing analysis tools do not effectively capture the effects on distribution grids over large areas with diverse environments. This paper presents a national-scale power disruption model that integrates synthetically generated power grids, consumption profiles, fragility functions, and windstorm severity dependent fixing times to accurately reproduce historical outage data.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Electrical & Electronic
Shariq Riaz, Pierluigi Mancarella
Summary: This paper proposes a comprehensive DER flexibility modelling and characterization framework that is based on the concept of nodal operating envelope (NOE). It identifies capacity, ramp, duration, and cost as key flexibility metrics and associates them with different but consistent NOEs describing capability, feasibility, ramp, duration, economic, technical, and commercial flexibility features.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Mehdi Ghazavi Dozein, Bikash Chandra Pal, Pierluigi Mancarella
Summary: This paper presents the modeling fundamentals for studying the dynamics of inverter-based resources (IBRs) in weak distribution grids and proposes disturbance performance characteristics and control requirements. Specifically, it investigates voltage violations caused by low system strength in response to small-signal disturbances and proposes design requirements for IBR d-q current control. In terms of large-signal disturbances, it discusses limitations of active power-voltage control and the enhancement of phase-locked loop stability through IBR reactive power control.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Sleiman Mhanna, Isam Saedi, Pierluigi Mancarella
Summary: This paper introduces two novel iterative methods for efficiently solving the multiperiod optimal electricity and gas flow problem. Both methods have fast convergence speed and high solution quality, with significant improvement in computation time.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Sleiman Mhanna, Pierluigi Mancarella
Summary: Despite advancements in nonlinear programming and convex relaxations, linear programming is still widely used by system operators due to its reliability and computational efficiency. This paper proposes a sequential linear programming approach that combines the advantages of LP and NLP methods, providing feasible and high-quality solutions for the nonconvex AC OPF problem.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Matthias Noebels, Robin Preece, Mathaios Panteli
Summary: Power outages caused by cascading failures triggered by extreme weather events are posing a growing risk to modern societies, leading to a need for greater power network resilience. Machine learning is utilized for real-time decision-making on preventative actions to reduce the risk of cascading failures, using training data from Monte Carlo simulations. The proposed ML-based decision-making process shows promise in efficiently preventing the uncontrolled spread of cascading failures.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Computer Science, Information Systems
Matthias Noebels, Robin Preece, Mathaios Panteli
Summary: The article introduces a novel ac cascading failure model specifically designed for resilience analysis in power networks. The model is capable of dealing with large contingency sizes and has computationally efficient capabilities for large networks. The model is validated and compared with historical outage data to ensure its reliability and accuracy. The applications of this model can help to understand fault propagation mechanisms and develop effective mitigation strategies.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Information Systems
Matthias Noebels, Jairo Quiros-Tortos, Mathaios Panteli
Summary: The growing impact of weather-related power outages highlights the need for power system resilience, which can be improved through probabilistic approaches and preventive measures. A three-stage decision-making methodology based on assessing weighted pre-event and post-event performance losses effectively identifies the best actions to reduce the risk of cascading failures under any level of uncertainty.
IEEE SYSTEMS JOURNAL
(2022)
Article
Green & Sustainable Science & Technology
Eduardo Alejandro Martinez Cesena, Yutian Zhou, Jose Nicolas Melchor Gutierrez, Wentao Zhu, Mathaios Panteli, Joseph Mutale, Pierluigi Mancarella, James Tomlinson, Rasheed Baisie, Emmanuel Obuobie, Julien J. Harou
Summary: This paper proposes a simulation methodology for integrated water-energy systems using Mixed Integer Linear Programming (MILP). The methodology aims to adapt and quantify different modelling assumptions under various weather-related conditions. The study demonstrates the benefits of customisable simulations in terms of computational costs and modelling accuracy, and provides guidance for selecting adequate modelling assumptions. The methodology is applied to the Ghanaian integrated water-energy system.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Yitian Dai, Robin Preece, Mathaios Panteli
Summary: The increasing penetration of renewable based generation is leading to a higher risk of cascading failures in power systems. This paper proposes a framework for quantifying the risk of cascading failures in renewable-rich power systems with fast frequency response (FFR) services. The results highlight the importance of accurate modeling of ancillary services and indicate that increased wind penetration can lead to a higher probability of power outages. Adopting FFR services can mitigate the cascading risk but may introduce rotor angle instability issues.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Mehdi Ghazavi Dozein, Antonella Maria De Corato, Pierluigi Mancarella
Summary: This article presents a modeling foundation for studying the capabilities of hydrogen electrolyzers (HEs) to provide frequency control ancillary services (FCAS) such as virtual inertia and frequency response. A general, unified HE dynamic model is proposed to account for the electrolyzer stack circuit, power-electronics interface (PEI), and converter-level control loops. The model considers current transfer function, physical nonlinearities, and operational constraints. Additionally, a virtual synchronous machine (VSM) control approach is introduced to study the HE's virtual inertia response. The modeling is applied to alkaline and proton exchange membrane (PEM) technologies, and the FCAS performance is assessed through dynamic simulation.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Diego Alvarado, Rodrigo Moreno, Alexandre Street, Mathaios Panteli, Pierluigi Mancarella, Goran Strbac
Summary: Given the increasing frequency and impact of natural hazards on power systems, planning resilient network investments is of growing importance. This study proposes an optimization approach that considers investment propositions to harden existing infrastructure and determines optimal portfolios of resilient network investments. The model takes into account decision-dependent probabilities and considers distributed energy resources as potential alternatives to costly network investments. Additionally, the lack of fully accurate fragility curves and the inherent uncertainty associated with fragility modeling are addressed through a global-convergent exact algorithm. The case studies conducted in Chile demonstrate the benefits of the proposed network planning approach.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Construction & Building Technology
Stergios-Aristoteles Mitoulis, Sotirios Argyroudis, Mathaios Panteli, Clemente Fuggini, Sotirios Valkaniotis, William Hynes, Igor Linkov
Summary: In addition to security issues, war-torn societies and countries face challenges in rebuilding damaged critical infrastructure. Existing recovery frameworks do not fit post-conflict infrastructure recovery due to their focus on social impacts and mitigation, as well as the lack of consideration for resilience. This paper discusses the need for a new framework and introduces a novel post-conflict framework that incorporates different scales of resilience and data-driven assessments.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Green & Sustainable Science & Technology
Saman Dadjo Tavakoli, Mehdi Ghazavi Dozein, Vinicius A. Lacerda, Marc Cheah Mane, Eduardo Prieto-Araujo, Pierluigi Mancarella, Oriol Gomis-Bellmunt
Summary: This paper suggests using hydrogen electrolyzers to provide grid-forming services to the grid and studies the impacts of these services on the electrolyzer. The effectiveness and practical feasibility of the proposed concept are demonstrated through simulations and experiments.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Review
Computer Science, Information Systems
Alexandre Serrano-Fontova, Haiyu Li, Zhiyu Liao, Magnus Rory Jamieson, Rosa Serrano, Alessandra Parisio, Mathaios Panteli
Summary: Power systems are increasingly affected by extreme events, exacerbated by climate change. This paper reviews and classifies fragility curves (FCs) used to model the vulnerability of power system components. Comparison of results obtained using different FCs highlights the importance of their modeling.
