Sustainable Energy Grids & Networks最新文献_第7页

A rolling horizon management model to reduce imbalance in real-time for a renewable energy community 一个可再生能源社区的滚动水平管理模型，以减少实时不平衡

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-25 DOI: 10.1016/j.segan.2025.101828

G. Brusco, D. Menniti, N. Sorrentino

{"title":"A rolling horizon management model to reduce imbalance in real-time for a renewable energy community","authors":"G. Brusco, D. Menniti, N. Sorrentino","doi":"10.1016/j.segan.2025.101828","DOIUrl":"10.1016/j.segan.2025.101828","url":null,"abstract":"<div><div>Electricity market regulations are progressively evolving to address the increasing variability of renewable energy sources, particularly by reducing the Imbalance Settlement Period (ISP) and enhancing the responsiveness of balancing mechanisms. This evolution increases the exposure of Balancing Responsible Parties (BRPs) to imbalance costs, as shorter ISPs make deviations between scheduled and actual power exchanges more frequent and financially significant. This paper introduces a real-time rolling horizon control model specifically designed to mitigate imbalances within a Renewable Energy Community (REC). The proposed model, referred to as BAL-RT, leverages the flexibility of distributed energy storage systems by reserving a portion of their capacity exclusively for real-time imbalance compensation. Unlike many approaches in the literature, which rely on intraday market mechanisms and are difficult to apply to small-scale consumers, the BAL-RT model is conceived for practical implementation in RECs composed of prosumers and consumers with limited market access. Furthermore, the model's robustness is assessed by analyzing the impact of key parameters, including the share of storage capacity allocated to the balancing service and the measurement time resolution. Numerical results, based on a real-world case study of an Italian REC, demonstrate that the BAL-RT model can significantly reduce imbalance levels and related costs, even in the presence of increased temporal granularity.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101828"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721366","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

Forecast-aided state estimation in unbalanced distribution networks using smart meter data under limited communication bandwidth 有限通信带宽下基于智能电表数据的不平衡配电网状态预测辅助估计

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-25 DOI: 10.1016/j.segan.2025.101863

Aditya Rangarajan , Rahul K. Gupta , Daniel K. Molzahn , Line Roald

{"title":"Forecast-aided state estimation in unbalanced distribution networks using smart meter data under limited communication bandwidth","authors":"Aditya Rangarajan , Rahul K. Gupta , Daniel K. Molzahn , Line Roald","doi":"10.1016/j.segan.2025.101863","DOIUrl":"10.1016/j.segan.2025.101863","url":null,"abstract":"<div><div>With the growing integration of stochastic renewable generation and adaptable resources in electrical distribution systems, distribution utilities are increasingly eager to improve the visibility of their networks using distribution system state estimation (DSSE). However, scarcity of measurements and limited communication bandwidth challenge the ability of the distribution utilities to estimate distribution system states. This paper presents a forecast-aided real-time state estimation method for distribution networks, using forecasts for nodes lacking direct measurements. While other recent studies have also used forecast-aided state estimation methods, existing approaches require large amounts of historical data to train the forecasting model or depend on phasor measurements, both of which are not easily accessible to distribution utilities. In contrast, we introduce a joint forecasting and state estimation methodology. Our forecasts are generated by a Vector-Autoregressive (VAR) model, which is recursively trained as new measurements are acquired, and thus does not rely on a full set of historical data or phasor measurements. These forecasts, together with the available measurements, are subsequently used for DSSE. We validate the effectiveness of our approach on the IEEE 123-bus benchmark network, taking into account various correlation assumptions and differing quantities of accessible measurements.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101863"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738960","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

Evaluation of the impact of IBR on the frequency dynamics in the Brazilian power system IBR对巴西电力系统频率动态影响的评估

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-25 DOI: 10.1016/j.segan.2025.101827

Bruno Pinheiro , M.C. Llerena Velasquez , Giovane Faria , A.F.C. Aquino , Diego Issicaba , Daniel Dotta

引用次数: 0

AI-assistant for intelligent design of controllers in power systems 电力系统控制器智能设计的ai助手

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-25 DOI: 10.1016/j.segan.2025.101831

Lucas Bost , Francisco S. Fernandes , Ricardo J. Bessa

{"title":"AI-assistant for intelligent design of controllers in power systems","authors":"Lucas Bost , Francisco S. Fernandes , Ricardo J. Bessa","doi":"10.1016/j.segan.2025.101831","DOIUrl":"10.1016/j.segan.2025.101831","url":null,"abstract":"<div><div>The increasing penetration of renewable energy sources in power systems has heightened the importance of grid-forming (GFM) converters, which emulate the dynamic behavior of synchronous machines and are crucial for ensuring stability in converter-dominated grids. However, the complexity of modern grids calls for innovative control mechanisms to unlock the full potential of GFM technology. This work presents a novel automated framework for control design in power systems. Simulated annealing is used to evolve the structural design of control systems represented as graph-based models. The method achieves greater flexibility by using control graphs instead of traditional tree-based representations, supporting complex feedback loop configurations. A simplification process is also included to reduce complexity and improve interpretability, ensuring practical applicability. Validation on a two-generator power system with one GFM converter demonstrates the method’s ability to design robust controllers that enhance system stability, achieving better performance metrics, such as smoother frequency responses with significantly reduced frequency deviations compared to benchmark configurations. The improved frequency response arises from differing terminal angle profiles, enabling faster, stronger power responses that quickly arrest frequency deviations during disturbances.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101831"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724013","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

Dual-timescale active and reactive power collaborative optimization for voltage regulation based on multiobjective deep reinforcement learning in distribution network 基于多目标深度强化学习的配电网电压调节双时间尺度有功无功协同优化

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-24 DOI: 10.1016/j.segan.2025.101806

Qianyu Zhao , Li Pang , Xiang Li , Shouxiang Wang , Ziyang Yin , Luyang Guo

{"title":"Dual-timescale active and reactive power collaborative optimization for voltage regulation based on multiobjective deep reinforcement learning in distribution network","authors":"Qianyu Zhao , Li Pang , Xiang Li , Shouxiang Wang , Ziyang Yin , Luyang Guo","doi":"10.1016/j.segan.2025.101806","DOIUrl":"10.1016/j.segan.2025.101806","url":null,"abstract":"<div><div>In the context of the energy transition, the large-scale integration of photovoltaic (PV) into distribution network (DN) has caused frequent voltage fluctuations and exceedances. To ensure the efficient operation of DN and fully leverage the control potential of active and reactive power dispatching devices, it is crucial to optimize voltage level while considering economy. However, traditional optimization methods often struggle to maintain effective voltage control while simultaneously enhancing economic efficiency in response to the inherent volatility of PV. To this end, an innovative dual-timescale active and reactive power coordinated optimization method based on joint-agent multiobjective deep reinforcement learning (JAMODRL) is proposed. To better accommodate the frequent fluctuations of PV, a dual-timescale multiobjective optimization model considering minimizing voltage deviation alongside operational and scheduling cost is established. Subsequently, a multiobjective Markov game (MOMG) model is developed to facilitate decision-making for balancing cost and voltage deviation. To solve this decision model, a high-quality MODRL algorithm based on a penalty-based boundary intersection (PBI) method is put forward, which decomposes the MOMG model into multiple submodels to learn Pareto optimal control strategies. The comparative verification on the IEEE 33-bus and 141-bus distribution system demonstrate that the proposed optimization method achieves rapid solution speed, high-quality Pareto solutions, and strong generalization capabilities, effectively reducing voltage deviation and improving economic efficiency.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101806"},"PeriodicalIF":5.6,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739031","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

Techno-economic assessment of inertia measurements: A case study for the Australian National Electricity Market 惯性测量的技术经济评估：澳大利亚国家电力市场的案例研究

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-24 DOI: 10.1016/j.segan.2025.101857

Bastian Moya , Sleiman Mhanna , Antonio Enas , Duncan Burt , Pierluigi Mancarella

{"title":"Techno-economic assessment of inertia measurements: A case study for the Australian National Electricity Market","authors":"Bastian Moya , Sleiman Mhanna , Antonio Enas , Duncan Burt , Pierluigi Mancarella","doi":"10.1016/j.segan.2025.101857","DOIUrl":"10.1016/j.segan.2025.101857","url":null,"abstract":"<div><div>Declining system inertia is introducing significant challenges for system operators worldwide. In this context, this paper investigates for the first time the potential value of inertia measurements, with an application to the National Electricity Market of Australia. Analysis of data from Reactive Technologies was carried out to compare inertia measurements with other approaches to estimate system inertia. The results indicate the presence of significant “residual” inertia, often overlooked or “hidden” on the demand side. An estimate of this residual inertia was incorporated in a unit commitment model formulated with a novel convex combination approach to approximate to sufficient accuracy the non-linear nadir constraints while retaining computational tractability. Techno-economic studies were then conducted, suggesting that inertia measurements could lead to significant operational savings in current systems, with even greater savings in future systems. Additionally, the results highlight potential planning savings by deferring or reducing investments driven by inertia requirements.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101857"},"PeriodicalIF":5.6,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721367","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

Optimal planning of distributed energy resources for sustainable road tunnels under uncertainty 不确定条件下可持续公路隧道分布式能源优化规划

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-24 DOI: 10.1016/j.segan.2025.101832

Antonio Bracale , Pierluigi Caramia , Pasquale De Falco , Enrico Carpaneto , Angela Russo , Stefano D’Ambrosio , Sebastiano Nicotra

{"title":"Optimal planning of distributed energy resources for sustainable road tunnels under uncertainty","authors":"Antonio Bracale , Pierluigi Caramia , Pasquale De Falco , Enrico Carpaneto , Angela Russo , Stefano D’Ambrosio , Sebastiano Nicotra","doi":"10.1016/j.segan.2025.101832","DOIUrl":"10.1016/j.segan.2025.101832","url":null,"abstract":"<div><div>The problem of road tunnel energy consumption and sustainability is considered in this paper. To reduce energy costs and to improve sustainability, a Microgrid (MG) with distributed energy resources including renewable generators and storage systems is proposed to supply the typical loads of road tunnels. The proposed MG is modular in the sense that sets of individual modules for the solar and wind generators, as well as the batteries, are considered for the installation, while the number of modules is obtained from the resolution of a long-term planning optimization problem. A new optimal probabilistic approach that calculates the number of modules maximizing the Net Present Value (NPV) to evaluate the profitability of the MG investment is proposed. The proposed procedure includes an advanced long-term Markov Chain (MC) based methodology to generate scenarios of stochastic processes modeling all the uncertain variables involved in the planning procedure, satisfies technical and contractual constraints selectable by the tunnel owner, and implements the decision criteria most frequently applied for the selection of the optimal solution. In the numerical applications, the results obtained in different case studies show the benefits, the flexibility and the effectiveness of the proposed procedure. In fact, the modular solution allows the application of the proposed approach to a generic road tunnel located in any geographical area optimizing the use of the distributed resources.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101832"},"PeriodicalIF":4.8,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704751","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

Risk assessment of future power systems: Assuring resilience of electrification for decarbonization 未来电力系统的风险评估：确保脱碳电气化的弹性

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-24 DOI: 10.1016/j.segan.2025.101849

Cleberton Reiz , Clara Gouveia , Ricardo J. Bessa , João Peças Lopes , Mladen Kezunovic

{"title":"Risk assessment of future power systems: Assuring resilience of electrification for decarbonization","authors":"Cleberton Reiz , Clara Gouveia , Ricardo J. Bessa , João Peças Lopes , Mladen Kezunovic","doi":"10.1016/j.segan.2025.101849","DOIUrl":"10.1016/j.segan.2025.101849","url":null,"abstract":"<div><div>Increased electrification of various critical infrastructures has been recognized as a key to achieving decarbonization targets worldwide. This creates a need to better understand the risks associated with future power systems and how such risks can be defined, assessed, and mitigated. This paper surveys prior work on power system risk assessment and management and explores the various approaches to risk definition, assessment, and mitigation. As a result, the paper proposes how future grid developments should be assessed in terms of risk causes, what methodology may be used to reduce the risk impacts, and how such approaches can increase grid resilience. While we attempt to generalize and classify various approaches to solving the problem of risk assessment and mitigation, we also provide examples of how specific approaches undertaken by the authors in the past may be expanded in the future to address the design and operation of the future electricity system to manage the risk more effectively. The importance of the metrics for risk assessment and methodology for quantification of risk reduction are illustrated through the examples. The paper ends with recommendations on addressing the risk and resilience of the electricity system in the future resilient implementation while achieving decarbonization goals through massive electrification.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101849"},"PeriodicalIF":4.8,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713134","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

Leveraging temporal smoothing techniques and hybrid architecture for anomaly detection in electricity consumption 利用时间平滑技术和混合架构进行电力消耗异常检测

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-23 DOI: 10.1016/j.segan.2025.101808

Belawal Behram, Aamir Qamar, Muhammad Naeem

{"title":"Leveraging temporal smoothing techniques and hybrid architecture for anomaly detection in electricity consumption","authors":"Belawal Behram, Aamir Qamar, Muhammad Naeem","doi":"10.1016/j.segan.2025.101808","DOIUrl":"10.1016/j.segan.2025.101808","url":null,"abstract":"<div><div>Anomaly detection in electricity consumption is a critical challenge for power utilities, as undetected anomalies can result in significant financial losses while compromising the stability, security and quality of power distribution networks. Traditional approaches often fail to adapt to evolving usage patterns, limiting their scalability and accuracy. To address these limitations, this study introduces an enhanced anomaly detection framework that integrates a hybrid Convolutional Neural Network-Temporal Convolutional Network (CNN-TCN) architecture with temporal smoothing techniques. The CNN component extracts spatial patterns, while the TCN processes temporal dependencies in electricity consumption data, providing a comprehensive analysis. Temporal smoothing techniques enrich the feature set by capturing dynamic temporal variations, enhancing the model’s ability to detect anomalies. The proposed framework achieves superior performance, with a precision of 0.965, recall of 0.998, F1-score of 0.981 and AUC of 0.999, significantly outperforming existing benchmarks. By integrating advanced feature engineering with state-of-the-art modeling, this approach demonstrates high scalability and reliability for fraud detection in smart grids.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101808"},"PeriodicalIF":4.8,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713133","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

An ADMM-based optimization approach for coordinated transmission and distribution generation expansion planning 一种基于admm的协调输配电发电扩展规划优化方法

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-07-23 DOI: 10.1016/j.segan.2025.101805

Nahid-Ur-Rahman Chowdhury, Gregorio Muñoz-Delgado, Natalia Alguacil, Javier Contreras

{"title":"An ADMM-based optimization approach for coordinated transmission and distribution generation expansion planning","authors":"Nahid-Ur-Rahman Chowdhury, Gregorio Muñoz-Delgado, Natalia Alguacil, Javier Contreras","doi":"10.1016/j.segan.2025.101805","DOIUrl":"10.1016/j.segan.2025.101805","url":null,"abstract":"<div><div>This paper addresses the coordinated generation expansion planning problem for transmission and distribution systems. Investment decisions involve both conventional and renewable generation. Furthermore, uncertainty associated with demand and renewable generation is represented through a set of scenarios. Therefore, the resulting model is formulated as an instance of scenario-based stochastic linear programming. Based on real-world practice, it is assumed that there is a single transmission planner and multiple distribution planners involved. In the literature, monolithic approaches are often applied to solve this problem, which breaches the data privacy of planners. Alternatively, this model is solved using the coordinated yet distributed approach of the Alternating Direction Method of Multipliers (ADMM), where each planner solves its own problem and exchanges information at the interface nodes with neighboring systems, thereby preserving the privacy of each planner’s asset-related information. The proposed approach guarantees finite convergence to the optimum while also providing a measure of the distance to optimality during the solution process. The effective performance of the proposed approach is validated through comparison with the monolithic approach. Several case studies are analyzed comprising up to twelve distribution systems (DSs) integrated into a 550-node test system. Simulations reveal a reasonable tradeoff between solution quality and computational tractability in a practical setting.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101805"},"PeriodicalIF":5.6,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750097","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