Sustainable Energy Grids & Networks最新文献_第2页

Data strategy for active distribution networks: a framework to quantify data granularity impact on cyber-physical planning and operation 主动配电网络的数据策略：量化数据粒度对网络物理规划和运行影响的框架

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-06-02 DOI: 10.1016/j.segan.2025.101763

Sylvie Koziel , Marija D. Ilić , Diogo M.V.P. Ferreira , Pedro M.S. Carvalho , Patrik Hilber

{"title":"Data strategy for active distribution networks: a framework to quantify data granularity impact on cyber-physical planning and operation","authors":"Sylvie Koziel , Marija D. Ilić , Diogo M.V.P. Ferreira , Pedro M.S. Carvalho , Patrik Hilber","doi":"10.1016/j.segan.2025.101763","DOIUrl":"10.1016/j.segan.2025.101763","url":null,"abstract":"<div><div>The operational challenges of the integration of electric vehicles (EV), air conditioning and photovoltaic panels (PV) are prompting the upgrade of distribution grids, seen here as cyber-physical infrastructures. An important upgrading feature of the cyber-side is the electrical grid monitoring, which needs to expand both in data coverage and granularity. The challenge is to decide the data strategy, or in other words, which level of granularity is actually needed in active distribution networks. This work proposes a framework to assist grid planners in selecting the level of data expansion needed, by quantifying the impact of extended data granularity on control capabilities, and corresponding grid performance. The framework combines machine learning with AC optimal power flow and state estimation to select incremental upgrades of the cyber-physical infrastructure. Grid planning and operation are simulated and tested for the IEEE 33-bus test system over a 5-year span to assess the role of granularity in grid performance for different cyber-infrastructures. The results show that extending data granularity is critical for mitigating voltage violations under high penetration of EVs, air conditioning and PVs. By modeling the relationships between data, grid planning and operation, and grid performance, the framework supports efficient cyber system upgrades to mitigate operational violations while accounting for budget limitations.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101763"},"PeriodicalIF":4.8,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241537","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

Blockchain-based hierarchical smart contracts to prevent user profiling in decentralized energy trading systems 基于区块链的分层智能合约，以防止分散能源交易系统中的用户分析

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-06-02 DOI: 10.1016/j.segan.2025.101762

Joan Ferré-Queralt, Jordi Castellà-Roca, Alexandre Viejo

{"title":"Blockchain-based hierarchical smart contracts to prevent user profiling in decentralized energy trading systems","authors":"Joan Ferré-Queralt, Jordi Castellà-Roca, Alexandre Viejo","doi":"10.1016/j.segan.2025.101762","DOIUrl":"10.1016/j.segan.2025.101762","url":null,"abstract":"<div><div>Smart grid technology has transformed electricity generation, distribution, and consumption by incorporating advanced communication systems and distributed energy resources, including solar panels and energy storage solutions. This integration enables prosumers to actively participate in energy markets, benefiting from real-time monitoring, dynamic pricing, and load balancing. However, the detailed data collected during these processes raise significant privacy concerns, as it may expose sensitive information about users’ lifestyles. This work presents an innovative energy trading system operating within decentralized energy distribution networks. The system leverages blockchain-based hierarchical smart contracts to enhance privacy protection for users. It automates energy trades, ensures accurate transaction verification, and obscures user identities and energy consumption patterns through its hierarchical structure, preventing unauthorized profiling or data breaches. Additionally, mechanisms to detect and penalize dishonest behavior are incorporated, ensuring the integrity and fairness of the energy market. The feasibility of the proposed system is experimentally evaluated in an IoT environment through a small-scale implementation using actual IoT devices, yielding positive results in terms of scalability and privacy features. Lastly, a comparative analysis is presented to demonstrate the advantages of the proposed system over existing state-of-the-art solutions.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101762"},"PeriodicalIF":4.8,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223297","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

Hesitant bipolar fuzzy set-based decision system for electric vehicle charging station location planning 基于犹豫双极模糊集的电动汽车充电站选址决策系统

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-06-02 DOI: 10.1016/j.segan.2025.101756

Chakkarapani Sumathi Thilagasree , Thippan Jayakumar , Lakshmanaraj Ramya , Krishnan Suvitha , Dragan Pamucar , Witold Pedrycz , Joseph Varghese Kureethara

{"title":"Hesitant bipolar fuzzy set-based decision system for electric vehicle charging station location planning","authors":"Chakkarapani Sumathi Thilagasree , Thippan Jayakumar , Lakshmanaraj Ramya , Krishnan Suvitha , Dragan Pamucar , Witold Pedrycz , Joseph Varghese Kureethara","doi":"10.1016/j.segan.2025.101756","DOIUrl":"10.1016/j.segan.2025.101756","url":null,"abstract":"<div><div>The selection of electric vehicle (EV) charging station locations is a critical challenge that significantly affects the growth and acceptance of the EV industry. As EVs offer a sustainable solution to fossil fuel depletion and environmental pollution, identifying optimal charging station sites involves dealing with uncertain, inconsistent, and conflicting criteria. To address these challenges, this paper presents an innovative decision-making framework based on Hesitant Bipolar-Valued Fuzzy Sets (HBVFSs), which account for both positive and negative hesitant membership values to better model uncertainty in expert judgments. A novel hybrid Multi-Criteria Decision-Making (MCDM) technique is proposed, combining the Step-wise Weight Assessment Ratio Analysis (SWARA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods to determine robust criteria weights within the HBVFS environment. The Preference Ranking Organization METHod for Enrichment Evaluation II (PROMETHEE-II) is employed for the final site ranking. This integrated approach enables a more comprehensive and reliable evaluation of potential locations by incorporating both qualitative and quantitative factors. The proposed methodology has practical applications in real-world infrastructure planning and supports more resilient decision-making in sustainable transportation networks. The results demonstrate the model’s effectiveness and adaptability in addressing the site selection problem under uncertainty.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101756"},"PeriodicalIF":4.8,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253877","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

Supervision of service pipes in district heating networks 监督集中供热管网的供水管道

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-06-02 DOI: 10.1016/j.segan.2025.101760

Brian Kongsgaard Nielsen , Fredrik Bentsen , Emil Andreasen Klahn , Jakob Fester , Christian Møller Jensen , Carsten Skovmose Kallesøe

{"title":"Supervision of service pipes in district heating networks","authors":"Brian Kongsgaard Nielsen , Fredrik Bentsen , Emil Andreasen Klahn , Jakob Fester , Christian Møller Jensen , Carsten Skovmose Kallesøe","doi":"10.1016/j.segan.2025.101760","DOIUrl":"10.1016/j.segan.2025.101760","url":null,"abstract":"<div><div>District heating (DH) systems supply heat to consumers in urban areas via dense pipe networks that carry heat energy using water as the transport medium. The largest assets for most district heating companies are bound to these pipe networks. Therefore, supervising the quality of these pipes is of great interest to district heating companies. The quality of the main pipe grid is typically supervised by advanced sensor wires built into the pipes. However, the service pipes connecting the consumers to the main pipes are typically not supervised at all. This paper proposes a novel approach that is able to detect the quality of the service pipes and thereby enable better maintenance of the network. The proposed approach uses data from smart meters already installed for billing purposes. Using this data in a Kalman filter, heat loss parameters are estimated for individual service pipes in the different segments of the district heating network. The proposed Kalman filter does not use information about the network parameters such as pipe sizes and types, but only data from the smart meters in the network segment under consideration. The proposed approach is tested on two segments of the district heating network in Randers, Denmark. These tests show that the approach was able to pinpoint the service pipes in the considered network segment that had quality issues related to the service pipe insulation.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101760"},"PeriodicalIF":4.8,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241538","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

Electric vehicles’ potential for smoothing daily load profile considering mobility needs and solar output 考虑到移动需求和太阳能输出，电动汽车在平滑日常负载方面的潜力

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-06-02 DOI: 10.1016/j.segan.2025.101761

Nima Rashgi Shishvan , Junjie Qin , Zhaomiao Guo

{"title":"Electric vehicles’ potential for smoothing daily load profile considering mobility needs and solar output","authors":"Nima Rashgi Shishvan , Junjie Qin , Zhaomiao Guo","doi":"10.1016/j.segan.2025.101761","DOIUrl":"10.1016/j.segan.2025.101761","url":null,"abstract":"<div><div>The proliferation of electric vehicles (EVs) and the growing adoption of renewable energy sources pose challenges to electricity grids, including unbalanced spatiotemporal power supply and demand, insufficient transmission and distribution capacities, and high power generation ramping needs. This study aims to better understand the potential of leveraging EVs’ charging flexibility as energy storage to smooth daily power load profiles considering different solar and EV penetration levels. To achieve this goal, we propose a mathematical formulation of the charging flexibility set based on real daily trip-chain data and develop a convex optimization model to optimize the smoothness of the regional net load profile subject to the charging flexibility set. We implement the model using mobility, solar generation, and power load data in the service region of the Chicago Metropolitan Agency for Planning (CMAP). Through sensitivity analyses, we quantify the potential impacts of EVs on the power systems at different levels of EV penetration, charging infrastructure availability, power load, and solar generation. The results demonstrate that EVs have the potential to smooth the overall power load if their charging/discharging scheduling can be properly coordinated. In particular, EVs can reduce the maximum ramping caused by uncoordinated charging by 65 % through the use of managed charging/discharging capabilities. Additionally, providing vehicle-to-grid (V2G) capabilities at the existing public charging stations can lead to a 29 % ramp decrease compared with only allowing V2G at home.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101761"},"PeriodicalIF":4.8,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262020","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

Short-term photovoltaic power forecasting based on improved transformer with feature enhancement 基于特征增强改进型变压器的光伏短期功率预测

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-31 DOI: 10.1016/j.segan.2025.101759

Mingping Liu , Songlin Rao , Mingchong Huang , Suhui Deng

{"title":"Short-term photovoltaic power forecasting based on improved transformer with feature enhancement","authors":"Mingping Liu , Songlin Rao , Mingchong Huang , Suhui Deng","doi":"10.1016/j.segan.2025.101759","DOIUrl":"10.1016/j.segan.2025.101759","url":null,"abstract":"<div><div>Accurate and reliable forecasting of photovoltaic (PV) power is crucial for the effective management and dispatching of modern smart grids. However, the unpredictable and intermittent characteristics of solar energy poses challenges for precise solar power forecasting. Many existing approaches have reached a developmental bottleneck in effectively extracting the underlying features of PV power generation and associated datasets, highlighting the need for innovative methodologies. This study introduces an improved Transformer-based architecture to address these limitations. The proposed method begins by dividing the historical input data into smaller subsequences through a patch-partitioning strategy, enabling the model to better capture short-term temporal patterns within adjacent time steps. To capture the spatiotemporal correlations of the input sequences, a two-stage attention mechanism is employed. The first stage models temporal dependencies, while the second stage captures nonlinear relationships between variables. Additionally, the original decoder structure is replaced with bidirectional long short-term memory network, thereby reducing the model's training parameters and strengthening the representation of bidirectional temporal dependencies within the input PV sequences. To evaluate the effectiveness of the proposed method, a case study is conducted by using a dataset from Alice Springs, Australia. The performance of the proposed model is compared with other deep learning models across different seasons and weather conditions, including cloudy, sunny, and rainy days. Experimental results demonstrate that the proposed model exhibits stable and superior performance compared to alternative deep learning models.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101759"},"PeriodicalIF":4.8,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144194536","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 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

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