A.M. Gross-Muresan , F.J. Matas-Díaz , M. Barragán-Villarejo , J.M. Maza-Ortega , E. Romero-Ramos
{"title":"Scaled-down three-phase four-wire low-voltage distribution network for testing smart grid technologies","authors":"A.M. Gross-Muresan , F.J. Matas-Díaz , M. Barragán-Villarejo , J.M. Maza-Ortega , E. Romero-Ramos","doi":"10.1016/j.segan.2025.101810","DOIUrl":"10.1016/j.segan.2025.101810","url":null,"abstract":"<div><div>Low-voltage distribution networks are facing nowadays a major transformation to tackle the long-awaited decarbonization of our society. This paper presents a physically scaled-down unbalanced three-phase four-wire (3P-4W) low-voltage distribution network for testing new software and hardware technologies which may foster this revolution. The aim is to develop a test bed able to faithfully reproduce the performance of this part of the power system. In this manner, it would be possible to assess the impact that any technology may have in advance of an actual field deployment. The paper describes the main design considerations for representing end users, comprising loads and/or generators, and a detailed model of the unbalanced network including coupling between phases. The built scaled-down distribution network has been assessed through a comprehensive set of unitary and integrated tests which are compared to simulation results to evidence the effectiveness of its design. The paper closes with the main conclusions and an outline of the future works that can be carried out using the described test bed.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101810"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739032","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}
Asja Alic , Silvia Zordan , Antonio De Paola , Vincenzo Trovato
{"title":"Optimal scheduling and revamping plan of a battery storage subject to capacity degradation","authors":"Asja Alic , Silvia Zordan , Antonio De Paola , Vincenzo Trovato","doi":"10.1016/j.segan.2025.101823","DOIUrl":"10.1016/j.segan.2025.101823","url":null,"abstract":"<div><div>The financial viability of merchant battery storage projects typically relies on the participation in electricity markets (e.g., wholesale day-ahead market), which entail repeated charging/discharging actions of the asset. This cyclic operation causes a degradation of the storage batteries and a reduction of the available energy capacity. The operation of the asset can be improved by considering revamping actions, where the energy capacity of the asset is restored by replacing the degraded cells with brand-new ones. However, these actions require a comprehensive modelling of different types of non-negligible costs and of important operating features. For an accurate maximization of the overall profit, it becomes extremely relevant to determine the optimal timing and sizing of these revamping actions. This paper develops a scheduling model for a utility-scale battery which co-optimize the asset’s optimal <em>short-term</em> market operation while providing the optimal <em>long-term</em> revamping policy to manage the energy capacity fade pursuant to cyclic charging/discharging actions. Specifically, the optimal choices concerning the revamping policy accurately account for three features. The first acknowledges both fixed and variable costs concerning the replacement of racks of cells. The second is the downtime of the asset during each revamping period, i.e. its inability to operate in energy markets while the revamping action is being carried out. Last, the proposed methodology allows to compare the residual economic value of worn cells with respect to the current market value of brand-new ones. Results indicate a high impact of the abovementioned features on the optimal selected revamping policy as well as on the actual total profit of the battery.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101823"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739033","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}
Giovanni Maulà, Luigi Pio Savastio, Giulia Amato, Arya Abdollahi, Enrico Elio De Tuglie
{"title":"Characterization of disturbances induced by a microgrid on the distribution network","authors":"Giovanni Maulà, Luigi Pio Savastio, Giulia Amato, Arya Abdollahi, Enrico Elio De Tuglie","doi":"10.1016/j.segan.2025.101843","DOIUrl":"10.1016/j.segan.2025.101843","url":null,"abstract":"<div><div>This article introduces a comprehensive methodology for analyzing disturbances induced by MicroGrids in the connected distribution network. These disturbances arise primarily from the integration of Renewable Energy Sources and the variability of loads, leading to active power fluctuations at the interconnection point between the MicroGrid and the main grid. The proposed methodology employs frequency domain analysis of these disturbances, using the Fast Fourier Transform to characterize them. Additionally, it investigates the frequency response of key resources, including generators and Energy Storage Systems, to assess their cooperative role in filtering such disturbances within a MicroGrid. The findings of this study offer critical insights into the design of MicroGrids, identifying essential factors for selecting system components. The proposed approach is validated through its application to the model of the experimental PrInCE MicroGrid at the Polytechnic University of Bari, with the overarching aim of facilitating the seamless integration of Renewable Energy Sources while enhancing the resilience and operational flexibility of electrical networks.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101843"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739034","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}
{"title":"Affine arithmetic meets robust optimization in scheduling microgrids-based flexibility services","authors":"Silvia Iuliano, Alfredo Vaccaro","doi":"10.1016/j.segan.2025.101839","DOIUrl":"10.1016/j.segan.2025.101839","url":null,"abstract":"<div><div>Enabling distributed and dispersed flexible sources to offer advanced dispatching services in the grid-balancing markets is considered one of the most challenging issues to address in decarbonized power systems. In this context, microgrids could play a strategic role by enabling the provision of valuable grid-balancing services through the optimal operation scheduling of their components. For this purpose, reliable decision-support methods should be deployed to identify feasible and profitable microgrid operation strategies, considering the effects of the large and correlated uncertainty sources affecting the input data. To try and address this problem, this paper proposes a new formulation of the affine arithmetic counterpart of the microgrid-based flexibility scheduling problem that allows overcoming the over-conservativism of conventional range-based operators by computing a family of solutions that include the solution computed by robust optimization. Detailed simulation results obtained on a realistic case study are presented and discussed to assess the benefits of the proposed formulation and to define its connection with robust optimization.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101839"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723556","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}
Andrea Pomarico , Alberto Berizzi , Guido Coletta , Salvatore Tessitore , Cosimo Pisani , Giorgio Giannuzzi
{"title":"A novel algorithm for defining secondary voltage regulation control areas","authors":"Andrea Pomarico , Alberto Berizzi , Guido Coletta , Salvatore Tessitore , Cosimo Pisani , Giorgio Giannuzzi","doi":"10.1016/j.segan.2025.101829","DOIUrl":"10.1016/j.segan.2025.101829","url":null,"abstract":"<div><div>As renewable energy sources become more prevalent in power systems, their operation becomes increasingly complex and tools are needed to manage this additional complexity. Clustering is a concept very useful in this framework and clustering algorithms have become essential tools for analyzing modern power systems. An electric power system can be modeled as a graph, a mathematical structure consisting of nodes and edges. In this context, nodes correspond to buses, and edges represent the branches between them. Edges can be weighted to indicate the strength of the connections. This paper introduces a novel algorithm for the definition of secondary voltage regulation control areas within a power system conceptualized as a graph. The algorithm aims at defining areas that are as independent of the operation point as much as possible, exhibit weak reciprocal interactions, and remain stable over time. To demonstrate the algorithm’s effectiveness, several topologies of the complete high voltage Italian transmission network have been analyzed.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101829"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724014","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}
Henrik Nordström, Lennart Söder, Mohammad Reza Hesamzadeh
{"title":"System cost-minimizing scheduling of battery energy storage systems providing energy and balancing services","authors":"Henrik Nordström, Lennart Söder, Mohammad Reza Hesamzadeh","doi":"10.1016/j.segan.2025.101820","DOIUrl":"10.1016/j.segan.2025.101820","url":null,"abstract":"<div><div>To ensure that battery energy storage systems (BESSs) are used to facilitate the operation of power systems with high shares of variable renewable energy (VRE) sources, new policies for BESSs are currently being designed. This paper presents a new model for the system cost-minimizing scheduling of BESSs providing energy and balancing services, which can be used as a policy-evaluation tool and as a benchmark for evaluating current market performance. The model is based on a stochastic optimization problem, which we suggest solving using an algorithm combining Benders Decomposition (BD) and Stochastic Dual Dynamic Programming (SDDP). In this paper, we apply the model to study how the system cost-minimal scheduling of BESSs in Sweden is impacted by new requirements for Limited Energy Reservoir (LER) resources providing Frequency Containment Reserves (FCR). Case study results show that new requirements related to guaranteeing a minimum full activation time significantly impact the operation of BESSs, reducing the provision of upregulating FCR capacity for disturbances (FCR-D up) by over 60 %. Also, the case study results show that the consideration of BESSs’ degradation costs reduces the provision of energy as well as balancing services from BESSs. The daily discharged energy from BESSs is more than 85 % lower if the degradation costs are considered, compared to if they are not considered.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101820"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724015","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}
{"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}
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}
Bruno Pinheiro , M.C. Llerena Velasquez , Giovane Faria , A.F.C. Aquino , Diego Issicaba , Daniel Dotta
{"title":"Evaluation of the impact of IBR on the frequency dynamics in the Brazilian power system","authors":"Bruno Pinheiro , M.C. Llerena Velasquez , Giovane Faria , A.F.C. Aquino , Diego Issicaba , Daniel Dotta","doi":"10.1016/j.segan.2025.101827","DOIUrl":"10.1016/j.segan.2025.101827","url":null,"abstract":"<div><div>In this paper, the impact of inverter-based resources (IBRs) on the frequency dynamics of the Brazilian Interconnected Power System (BIPS) is evaluated. A measurement-based framework is proposed to assess the impact of IBR penetration on the system-wide and regional/local frequency dynamics. The analysis leverages data from a low-voltage wide area monitoring system (WAMS) and publicly available historical generation records from the Brazilian System Operator. A methodology is introduced to extract local frequency fluctuations across regions using a variational mode decomposition (VMD) approach. The findings reveal a continuous degradation in the system-wide frequency and local frequency variations, underscoring the need for enhanced regional monitoring and evaluation metrics to maintain frequency stability in large-scale interconnected systems.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101827"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724016","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}
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}