Sustainable Energy Grids & Networks最新文献_第3页

Statistical analysis of an energy community’s operations in P2P energy trading and flexibility markets 某能源社区在P2P能源交易和弹性市场中运作的统计分析

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-28 DOI: 10.1016/j.segan.2025.101755

Fernando García-Muñoz , Albert Farriol , Josh Eichman

{"title":"Statistical analysis of an energy community’s operations in P2P energy trading and flexibility markets","authors":"Fernando García-Muñoz , Albert Farriol , Josh Eichman","doi":"10.1016/j.segan.2025.101755","DOIUrl":"10.1016/j.segan.2025.101755","url":null,"abstract":"<div><div>This article explores statistical patterns in energy surplus sales from energy communities (EC) with high penetration of distributed energy resources (DERs) and their potential role in providing flexibility services to the distribution system operator (DSO). The study suggests a possible linear correlation between the distributions of the EC’s aggregated PV generation and energy surplus sales, which could help DSOs estimate grid contributions based on solar production characteristics. Additionally, it characterizes EC behavior in terms of demand and energy trading, identifying hours with a higher likelihood of flexibility provision and estimating the potential quantity of such services. To generate the data, two optimization models were developed to simulate EC operations, focusing on peer-to-peer (P2P) energy trading and evaluating the EC’s capability to provide flexibility as a service to the DSO. The models employ a second-order cone programming formulation incorporating distribution network (DN) constraints and considering different DERs, including rooftop solar panels, energy storage systems, electric vehicles, and heat pumps. Simulations were performed over a one-year horizon with hourly resolution using a modified single-phase version of the IEEE European Low Voltage test feeder, ensuring sufficient annual data for statistical analysis. As a result, the identified statistical patterns could assist the DSO in planning operations based only on aggregated community data, avoiding the need to model individual user decisions and ensuring data privacy.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101755"},"PeriodicalIF":4.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144194535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-carbon economic energy sharing and revenue distribution strategy for multi-integrated energy systems considering the uncertainty of new energy output 考虑新能源产出不确定性的多集成能源系统低碳经济能源共享与收益分配策略

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-26 DOI: 10.1016/j.segan.2025.101757

Zilin Pu, Tao Yi

{"title":"Low-carbon economic energy sharing and revenue distribution strategy for multi-integrated energy systems considering the uncertainty of new energy output","authors":"Zilin Pu, Tao Yi","doi":"10.1016/j.segan.2025.101757","DOIUrl":"10.1016/j.segan.2025.101757","url":null,"abstract":"<div><div>This study presents a cooperative energy-sharing strategy for multi-integrated energy systems (MIES) with community electricity stations (CES) to address renewable intermittency and carbon constraints under dual carbon targets. A hybrid optimization framework integrates distributionally robust chance constraints using Kullback-Leibler divergence to manage renewable uncertainty, while tiered carbon trading and integrated demand response mechanisms synergize power-to-gas and carbon capture technologies for cross-energy flexibility. A privacy-preserving generalized Nash bargaining model, solved via ADMM, ensures fair benefit allocation proportional to participants’ contributions. Case studies demonstrate a 7.1 % reduction in total operating costs, 13.5 % lower carbon expenses, and 11.3 % energy procurement savings compared to non-cooperative approaches, outperforming Stackelberg games by 12.6 % in social welfare. Sensitivity analyses reveal robustness against energy price fluctuations and renewable forecast errors. The strategy establishes a scalable low-carbon paradigm for park-level energy systems, balancing economic efficiency, emission reduction, and equitable collaboration in decentralized markets.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101757"},"PeriodicalIF":4.8,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Boosting the efficiency of flexibility provision in modern TSO-DSO coordination mechanisms 提高现代TSO-DSO协调机制灵活性提供的效率

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-22 DOI: 10.1016/j.segan.2025.101752

Baraa Mohandes, Mohammad Iman Alizadeh, Florin Capitanescu, André G. Madureira

{"title":"Boosting the efficiency of flexibility provision in modern TSO-DSO coordination mechanisms","authors":"Baraa Mohandes, Mohammad Iman Alizadeh, Florin Capitanescu, André G. Madureira","doi":"10.1016/j.segan.2025.101752","DOIUrl":"10.1016/j.segan.2025.101752","url":null,"abstract":"<div><div>Flexibility coordination between the transmission system operator (TSO) and the distribution system operator (DSO) involves the DSO solving an optimization program to trace the limits of its flexibility potential. The optimization objective also involves a penalty on deviation from an agreed active-power profile when the DSO is mapping the reactive power flexibility potential or minimizing flexibility cost. This paper proposes a number of improvements on the optimization problem carried out by the DSO in a multi-period setting. The paper presents a revised mathematical expression of flexibility, and the possibility to request particular flexibility patterns to emphasize flexibility provision for certain time periods. The proposed enhancements bring along a sizable increase in the flexibility potential, without impact on the computation time. The penalty scheme is also modified, and the existing mixed integer quadratic program formulation is replaced by a mixed integer linear program, thus, bringing forward a significant reduction in solution time. The proposed flexibility coordination formulation across 24 coupled periods is tested on the 34-bus distribution test system for five flexibility patterns. This paper is built upon previous work by the authors, which developed a sequential linear program algorithm, linearized the non-linear optimal power flow problem, and consequently, solved a stochastic multi-period optimal power flow problem.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101752"},"PeriodicalIF":4.8,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing the resolution of energy forecasts: Application to the Spanish electricity market 提高能源预测的分辨率：在西班牙电力市场的应用

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-21 DOI: 10.1016/j.segan.2025.101744

Eduardo Caro, Jesús Juan

{"title":"Enhancing the resolution of energy forecasts: Application to the Spanish electricity market","authors":"Eduardo Caro, Jesús Juan","doi":"10.1016/j.segan.2025.101744","DOIUrl":"10.1016/j.segan.2025.101744","url":null,"abstract":"<div><div>The operation of an electrical system requires continuous adjustment between energy demand and supply. The coordination between various market participants, such as generators, retailers, and the system operator, is essential to efficiently manage electricity offers and demands. Until a few years ago, most European countries performed this scheduling with hourly discretization. However, since 2021, the European Union has implemented a directive that reduced the time intervals to 15 min, replacing the traditional hourly interval.</div><div>The proper functioning of an electrical system depends on the instantaneous balance between energy production and demand. Both factors are subject to uncertainties caused by external and random elements, such as solar and wind energy production, and electricity demand itself. The system operator routinely uses predictive models for these variables, with hourly discretization for time horizons ranging from 1 to 15 days. For example, it is common to schedule generation one day in advance, which requires an accurate demand forecast for the 24 h of the following day. With the change to 15-min intervals, these forecasts must be made for the 96 15-min intervals of the next day.</div><div>In this article, we propose a highly efficient and accurate method to convert hourly predictions into 15-min predictions. The proposed techniques are analyzed in detail, employing real data from the Spanish electricity market and utilizing the predictive algorithm currently used by the Spanish Transmission System Operator.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101744"},"PeriodicalIF":4.8,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dealing with contradictory objectives in energy communities: A game-oriented trilevel approach 处理能源社区中的矛盾目标：一种面向游戏的三级方法

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-21 DOI: 10.1016/j.segan.2025.101751

Marcos Tostado-Véliz , Hany M. Hasanien , Carlos Cruz , Francisco Jurado

{"title":"Dealing with contradictory objectives in energy communities: A game-oriented trilevel approach","authors":"Marcos Tostado-Véliz , Hany M. Hasanien , Carlos Cruz , Francisco Jurado","doi":"10.1016/j.segan.2025.101751","DOIUrl":"10.1016/j.segan.2025.101751","url":null,"abstract":"<div><div>Energy communities empower end users to partake actively in the operation of the system while lowering energy procurement through optimal sharing resources. The main objective of energy communities is reducing the collective bill by maximizing the usage of local assets such as photovoltaic and storage systems. However, the different community members may raise particular objectives that may eventually lie in contradiction with the reduction of the electricity cost. For example, prosumers may be interested in incrementing their consumption above a benchmark point in order to increase their comfort and satisfaction. Such contradictory objectives should be considered in energy management of communities in order to ensure its social stability and successful. To this end, a novel game-based trilevel day-ahead approach for cooperative communities is developed, in which two secondary objectives can be accommodated together with the cost minimization original target. As a sake of example, the developed tool tailors in this paper to the case in which prosumers aim at maximizing their consumption while storage pretend to minimize the degradation of assets. The original trilevel structure is reduced to a solvable single-level problem that provide an equilibrium point in the Nash sense. A number of results is provided in 5 and 15-bus cases in order to validate the new approach. Results show that the new proposal can be easily implemented in a variety of scenarios, showing a case-independent performance. The hierarchical decision-logic procedure has been illustrated and validated analysing the total community cost under different users’ preferences. Finally, it is shown that the developed methodology scales well with the storage capability and community size.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101751"},"PeriodicalIF":4.8,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel LEM flexibility mechanism and distributed flexibility coordination framework for sustainable operation of distribution systems 面向配电系统可持续运行的LEM柔性机制与分布式柔性协调框架

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-20 DOI: 10.1016/j.segan.2025.101749

Timur Sayfutdinov , Ilias Sarantakos , Arman Alahyari , Matthew Deakin , Charalampos Patsios

{"title":"Novel LEM flexibility mechanism and distributed flexibility coordination framework for sustainable operation of distribution systems","authors":"Timur Sayfutdinov , Ilias Sarantakos , Arman Alahyari , Matthew Deakin , Charalampos Patsios","doi":"10.1016/j.segan.2025.101749","DOIUrl":"10.1016/j.segan.2025.101749","url":null,"abstract":"<div><div>Distributed flexibility (DF) is a cost-effective solution for network modernization. Procured through contracted flexibility services, the flexibility of network customers and distributed generators coordinated with active network technologies (i.e., network flexibility) has a great potential to spread growing electricity demand, avoiding the need for costly network reinforcement. However, when it is a single alternative to time-consuming reinforcement, Distribution System Operators (DSOs) are vulnerable to opportunistic flexibility suppliers that can make the service uneconomical. Therefore, more flexibility mechanisms are needed, especially during the early stages of DF integration. To address this gap, the paper offers three main contributions to the field of distribution system management. First, it proposes the novel DF mechanism for the DSO to access the flexibility of Local Energy Markets (LEMs) through the withdrawal of market transactions and their market-based remuneration. Second, it offers the optimal and unbiased DF coordination mechanism based on bi-level optimization to fairly resolve the conflicting objectives of the DSO and the LEM participants following the social welfare maximization principle to stimulate trading. Third, it provides a framework to integrate a new active network technology known as Soft Open Point (SOP) for its most effective utilization within the distribution system, supporting not only networks but also the operation of LEMs. Using realistic flexibility demand and supply data, the numerical study revealed that in congested networks when LEM flexibility is coordinated with SOP daily network operation costs can be reduced by half, occasionally even eliminating the need for DSO contracted flexibility services.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101749"},"PeriodicalIF":4.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144137952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The energy aggregator problem – A holistic mixed-integer linear programming approach 能量聚合器问题-一种整体混合整数线性规划方法

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-20 DOI: 10.1016/j.segan.2025.101754

Kai Hoth , Béla Wiegel , Tizian Schug , Kathrin Fischer

{"title":"The energy aggregator problem – A holistic mixed-integer linear programming approach","authors":"Kai Hoth , Béla Wiegel , Tizian Schug , Kathrin Fischer","doi":"10.1016/j.segan.2025.101754","DOIUrl":"10.1016/j.segan.2025.101754","url":null,"abstract":"<div><div>In this paper, a new mixed integer linear programming (MILP) model for the day-ahead operation of energy aggregators (EA) is developed. Synergies between the different types of flexibility and energy trading options enable EAs in decentralized and renewable energy systems to provide economic benefits to participating households but require a detailed consideration of technological properties and constraints of the respective types of resources. Therefore, the main contribution of this work is the development of a new EA model (EAM), which combines a holistic perspective with a high level of technical detail to better address the complexity of the EA decision. Most importantly, power-to-heat systems are integrated with their inherent thermal relations between heat pumps, heater rods and heat storages. In combination with other energy resources such as photovoltaic systems, electric vehicles, household battery storages and time-shiftable loads, households are modeled as systems with interdependent electrical power and heat flows. Moreover, three different trading levels (wholesale, local markets and internal trading) are taken into account. The model application to a case study with up to 111 individually modeled prosumer households in a summer and a winter scenario reveals high synergetic potential of EAs resulting from the flexibility of multiple trading options in combination with the flexibility of various energy resources. The results validate the efficacy of the model, as significant economic benefits for households are realized in comparison to a base case of non-aggregated households, showing that the three trading levels significantly contribute to these benefits. Further analyses give insights into the interdependent synergetic relations between different flexible resources, underlining the importance of a holistic optimization approach that explicitly takes these relations into account. For future research, the EAM is proposed as a base model to depict the behavior of EAs.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101754"},"PeriodicalIF":4.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Residual dynamic mode decomposition based prediction of sustained low frequency oscillations in power grid 基于残差动态模态分解的电网持续低频振荡预测

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-20 DOI: 10.1016/j.segan.2025.101753

Sanjay Singh Negi , Nand Kishor , A.K. Singh

{"title":"Residual dynamic mode decomposition based prediction of sustained low frequency oscillations in power grid","authors":"Sanjay Singh Negi , Nand Kishor , A.K. Singh","doi":"10.1016/j.segan.2025.101753","DOIUrl":"10.1016/j.segan.2025.101753","url":null,"abstract":"<div><div>The application of dynamic mode decomposition (DMD) for obtain the Koopman operator has been widely adopted to reveal the spectral features of dynamics in the power grid system. However, due to spurious eigenvalues, its application remains limited. Furthermore, with application to measurements from PMUs, data-driven approaches find their suitability. In this paper, recently proposed residual DMD (ResDMD), with kernel parameters have been explored as data-driven approach to predict the dynamics of states corresponding to low frequency oscillations (LFO). The ResDMD has the ability to compute spectra and pseudospectra of general Koopman operators with high order convergence guaranteed. This in turn is achieved with dictionary provided by kernalised extended DMD (kEDMD) to be used with ResDMD. The robust and verification of Koopmanism is demonstrated on synthetic LFO signals and measured PMUs data. The analyzed window examples of signals/data include mixed mode of LFO (sustained) and excitation of mode (transition to nonlinearity). The results are supported with approximated spectral properties, prediction of states analyzed for different window length (different size of samples), sampling rate and initial state condition for dynamics representation.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101753"},"PeriodicalIF":4.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated optimization of smart building energy consumption in microgrids using linearized real-time control strategies 基于线性化实时控制策略的微电网智能建筑能耗集成优化

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-20 DOI: 10.1016/j.segan.2025.101745

Xiaochun Cheng , Yunfu Zhang , Xiaolin Su

{"title":"Integrated optimization of smart building energy consumption in microgrids using linearized real-time control strategies","authors":"Xiaochun Cheng , Yunfu Zhang , Xiaolin Su","doi":"10.1016/j.segan.2025.101745","DOIUrl":"10.1016/j.segan.2025.101745","url":null,"abstract":"<div><div>This research develops a model to reduce main grid electricity costs and boost local demand and generation within a microgrid, adhering to operational constraints. It uses a mixed-integer nonlinear programming (MINLP) framework to manage heating, ventilation, air conditioning, lighting, photovoltaic generation, and energy storage while ensuring indoor comfort. A rolling horizon strategy was employed to simplify the original model, accompanied by pre-processing in EnergyPlus software utilizing linearization techniques, culminating in a Mixed-Integer Linear Programming approximation. Linearization yields an optimally solvable model that is appropriate for real-time energy management applications. We performed simulations under decentralized and centralized schemes for a 13-bus microgrid with uncontrollable loads and smart buildings. This study conducted a scalability analysis for the 34-bus microgrid case. The rolling horizon method successfully handled uncertainties in demand and reduced the amount of data needed for forecasting across five different consumption models, which included various combinations of photovoltaic units and energy storage systems. The findings indicated a 16 % decrease in peak power demand and an error margin when comparing linearized results with actual data, showcasing notable enhancements in cost efficiency and stability. The testing provided insights into optimal configurations for each region, validating the model's effectiveness in enhancing microgrid reliability, sustainability, cost-effectiveness, and occupant comfort.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101745"},"PeriodicalIF":4.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A distributed voltage inference framework for cyber-physical attacks detection and localization in active distribution grids 一种分布式电压推理框架，用于主动配电网网络物理攻击检测与定位

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-19 DOI: 10.1016/j.segan.2025.101750

Mazhar Ali, Wei Sun

{"title":"A distributed voltage inference framework for cyber-physical attacks detection and localization in active distribution grids","authors":"Mazhar Ali, Wei Sun","doi":"10.1016/j.segan.2025.101750","DOIUrl":"10.1016/j.segan.2025.101750","url":null,"abstract":"<div><div>The transition to active distribution grids with real-time monitoring and control depends on the proliferation of advanced communication networks and devices. This paradigm shift towards a cyber-physical architecture also introduces new vulnerabilities for adversaries to exploit and launch sophisticated cyber-physical attacks targeting grid observability. Current research highlights the challenges in distinguishing attacks on voltage phasor or nodal injection measurements and isolating multi-source attack locations in a multiphase distribution grid. The attack detection and localization methods in literature face accuracy issues, applications across diverse attack scenarios, or scalability limits. To bridge these gaps, this paper proposes a distributed Voltage Inference framework for real-time detection and localization of cyber-physical attacks, addressing scalability, adaptability, and accuracy challenges in state-of-the-art methods. The proposed methodology leverages the distributed nature of the Voltage Inference framework through a two-step process of prediction and correction, together with a tractable graph partitioning approach, providing a reliable solution to identify compromised measurement sources and facilitate isolation. Extensive testing on IEEE 13 and 123-node distribution feeders underscores the algorithm’s efficacy, enhancing the security and resilience of active distribution grids against evolving cyber threats. Additionally, Hardware-in-the-Loop (HIL) implementation validates the proposed strategy’s practical applicability in real-world scenarios.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101750"},"PeriodicalIF":4.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144137950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0