Sustainable Energy Grids & Networks最新文献

A logic-based flexibility services tool to support a rich renewable distribution network operation 基于逻辑的灵活服务工具，支持丰富的可再生配电网络运营

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-28 DOI: 10.1016/j.segan.2025.101746

Bruno Canizes , Fábio Castro , Vitor Silveira , Zita Vale

{"title":"A logic-based flexibility services tool to support a rich renewable distribution network operation","authors":"Bruno Canizes , Fábio Castro , Vitor Silveira , Zita Vale","doi":"10.1016/j.segan.2025.101746","DOIUrl":"10.1016/j.segan.2025.101746","url":null,"abstract":"<div><div>In recent years, the low-voltage power distribution networks and overall power systems have been undergoing substantial transformations. What were once mere innovation trends are now solidifying into the new norm, driven by advancements in technology and the decreasing costs of manufacturing. Moreover, the role of distribution system operators has been elevated with the widespread deployment of smart meters, coupled with a growing emphasis on engaging citizens as pivotal contributors in shaping the future of energy markets and system operations. This evolving topic underscores the importance of devising innovative approaches to explore potential mechanisms for offering additional services within distribution networks, particularly at low-voltage levels. This paper presents a novel logic-based heuristic approach aimed at tackling voltage and congestion challenges in low-voltage distribution networks. The approach revolves around bolstering the involvement of small-scale users in demand response initiatives and enhancing the flexibility of dispatchable distributed renewable energy sources to serve as flexibility services. To showcase the efficacy of the proposed model, a case study was conducted on a 236-bus low-voltage distribution network, chosen to reflect real-world conditions. The results demonstrate a substantial improvement in voltage profiles and a noteworthy reduction in congestion levels, when comparing the scenarios pre- versus post-optimization, and flexibility versus no flexibility, validating the effectiveness of the approach.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101746"},"PeriodicalIF":4.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144177755","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

Operational risk quantification of power grids using graph neural network surrogates of the DC optimal power flow 用图神经网络替代直流最优潮流进行电网运行风险量化

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-19 DOI: 10.1016/j.segan.2025.101748

Yadong Zhang, Pranav M. Karve, Sankaran Mahadevan

{"title":"Operational risk quantification of power grids using graph neural network surrogates of the DC optimal power flow","authors":"Yadong Zhang, Pranav M. Karve, Sankaran Mahadevan","doi":"10.1016/j.segan.2025.101748","DOIUrl":"10.1016/j.segan.2025.101748","url":null,"abstract":"<div><div>Surrogates or proxies of a decision-making algorithm (DC optimal power flow or DC OPF) are developed to expedite Monte Carlo (MC) sampling-based grid risk quantification. Sampling-based risk quantification allows explicit computation of the risk associated with a given probabilistic forecast of power demand and supply. However, it requires solving a large number of optimization (DC OPF) problems within a short time, which is computationally demanding. The computational burden is alleviated by developing graph neural network (GNN) surrogates, because GNNs are especially suitable for modeling graph-structured data. In contrast to previous works that developed GNN surrogates to predict bus-level (generator dispatch) decisions or line flow, the proposed GNN models directly predict zonal/system level quantities needed for grid risk assessment. That is, in addition to generator dispatch and line flow, we develop GNN models that directly predict zonal or system level reserve shortage and load shedding. The benefits of these GNN surrogates are demonstrated using four synthetic grids (Case118, Case300, Case1354pegase, and Case2848rte). It is shown that the proposed GNN surrogates are 250–800 times faster than numerical solvers at predicting the grid state, and they enable fast as well as accurate risk quantification for power grids. It is also shown that directly predicting aggregated zonal/system level quantities leads to more accurate predictions than aggregating bus level predictions.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101748"},"PeriodicalIF":4.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123689","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

Energy management in smart homes with adversary detection and noise mitigation using a moving prediction window scheme 智能家居中的能源管理，使用移动预测窗口方案进行对手检测和噪声缓解

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-19 DOI: 10.1016/j.segan.2025.101723

Hamid Reza Babaei Ghazvini, Saeed Adelipour, Mohammad Haeri

{"title":"Energy management in smart homes with adversary detection and noise mitigation using a moving prediction window scheme","authors":"Hamid Reza Babaei Ghazvini, Saeed Adelipour, Mohammad Haeri","doi":"10.1016/j.segan.2025.101723","DOIUrl":"10.1016/j.segan.2025.101723","url":null,"abstract":"<div><div>This paper presents an energy management algorithm for scheduling a large number of residential households, utilizing the moving prediction window to make it resilient against false data injection attacks and communication noise. We model multiple communities of smart homes, each managed by a local controller, where self-interested residential households engage in a global non-cooperative game. The cost functions of the households are influenced by a constrained aggregated power consumption term across all households from all communities. The interactions among households are modeled through a multi-community aggregative game. To reach a Nash equilibrium, we propose an iterative algorithm wherein local controllers estimate the coupling aggregate term and corresponding Lagrange multiplier for their respective households and collaborate with other controllers via an unreliable communication network to refine the aggregate estimations. Given the vulnerability of the communication network to external intrusions and the potential for internal controllers to behave maliciously, we explore a moving horizon window technique to detect false data injection attacks and mitigate communication noise. In this regard, first, a moving horizon estimator predicts the community’s current behavior based on historical data; second, a residual-based detection mechanism flags an attack when predicted residuals exceed a dynamic threshold; and third, corrupted measurements are discarded, and the average of the predictions is used in the Krasnoselskii-Mann update to reduce the noise impact. Numerical simulations show the effectiveness of the proposed algorithm in increasing the speed of reaching consensus by about 30 percent while managing the energy consumption of households.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101723"},"PeriodicalIF":4.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098981","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 resilience of power-transportation coupled networks to typhoons: A tri-stage integration strategy of multi-resources 增强电力-交通耦合网络对台风的抵御能力：多资源三阶段整合策略

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-19 DOI: 10.1016/j.segan.2025.101747

Xianglong Lian, Lei Qiu, Chenkai Song, Lijun Liu, Zhezhuang Xu

{"title":"Enhancing resilience of power-transportation coupled networks to typhoons: A tri-stage integration strategy of multi-resources","authors":"Xianglong Lian, Lei Qiu, Chenkai Song, Lijun Liu, Zhezhuang Xu","doi":"10.1016/j.segan.2025.101747","DOIUrl":"10.1016/j.segan.2025.101747","url":null,"abstract":"<div><div>With the increasing frequency and severity of extreme disaster events, enhancing the resilience of urban power grids has become critical. Most studies focus on distribution networks (DNs) without considering the important coupling relationship between transportation networks (TNs) and DNs. This paper addresses this gap by proposing a tri-stage resilience improvement method for power–transportation coupled networks (PTNs), incorporating flexible resources. The approach includes three models: (1) a pre-allocation model with a line hardening strategy based on vulnerability index for defense, (2) a failure response model that analyzes the impact of typhoons on PTN and minimizes load reduction in the DN, and (3) a restoration model that integrates emergency repair crews and mobile energy storage, optimized via linear programming. The performance of the proposed method is evaluated using a PTN with the IEEE 33-bus distribution test system and its corresponding TN. Results demonstrate that the resilience of PTN can be enhanced effectively by applying the proposed tri-stage method.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101747"},"PeriodicalIF":4.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135101","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