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

Clustering electricity consumption patterns using functional data analysis 使用功能数据分析对电力消耗模式进行聚类

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-12 DOI: 10.1016/j.segan.2025.101742

Kangwon Seo , Hyeong Suk Na , Wonjae Lee , Cheng-Bang Chen , Sang Jin Kweon , Long Zhao , Soundar Kumara

{"title":"Clustering electricity consumption patterns using functional data analysis","authors":"Kangwon Seo , Hyeong Suk Na , Wonjae Lee , Cheng-Bang Chen , Sang Jin Kweon , Long Zhao , Soundar Kumara","doi":"10.1016/j.segan.2025.101742","DOIUrl":"10.1016/j.segan.2025.101742","url":null,"abstract":"<div><div>Investigating energy usage patterns in the commercial sector and identifying notable characteristics is imperative for implementing more flexible and effective demand-side management strategies, reducing energy costs, and improving energy efficiency. Properly clustering energy consumption patterns enables us to identify and distinguish major consumer groups and their energy load characteristics. This paper uses aggregated 3 years of smart meter data from approximately two thousand commercial customers to find major load profile clusters. Functional data analysis (FDA) is applied to the monthly aggregated power usage data to capture the dynamic and functional nature. The results show that the general amount of electricity usage, corresponding to the first functional principal component (FPC), dominates the function-to-function variability, and most of the remaining variability can be explained by three additional curve shape features, corresponding to the second through fourth FPCs. To account for the largely different scales and nonhomogeneous densities of the clustering variables, which are FPC scores, a multi-level nested clustering, a combination of the Gaussian mixture model and clustering tree, is performed. The resulting clusters are summarized by FPC scores, which easily characterize their consumption patterns, demonstrating the primary advantage of FDA.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101742"},"PeriodicalIF":4.8,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098978","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

Understanding the inception of 14.7 Hz oscillations emerging from a data center 了解从数据中心产生的14.7 Hz振荡的起源

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-12 DOI: 10.1016/j.segan.2025.101735

Chetan Mishra , Luigi Vanfretti , Jaime Delaree Jr. , T.J. Purcell , Kevin D. Jones

引用次数: 0

Demand response with load-block shifting in the day ahead scheduling of predominantly hydro systems: Impact on the large-scale Brazilian case 以水力发电为主的电力系统的日前调度中负荷块转移的需求响应：对巴西大型案例的影响

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-10 DOI: 10.1016/j.segan.2025.101728

Gabriel M. Longhi , Carmen L.T. Borges , André L. Diniz

{"title":"Demand response with load-block shifting in the day ahead scheduling of predominantly hydro systems: Impact on the large-scale Brazilian case","authors":"Gabriel M. Longhi , Carmen L.T. Borges , André L. Diniz","doi":"10.1016/j.segan.2025.101728","DOIUrl":"10.1016/j.segan.2025.101728","url":null,"abstract":"<div><div>Operational planning and scheduling of electrical systems aims to meet the system load in the most economical way, managing not only the risk of load curtailment but also to ensure ramping capability. Flexibility is also pursued by exploring the large penetration of variable renewable generation such as wind/solar plants. Demand response (DR) programs have emerged as an alternative to accommodate such variability by stimulating or paying customers to curtail or shift their load, yielding a reduction in peak prices and smoother hourly price curves. Even though the advantages of DR for originally pure thermal systems have been widely shown in the literature, quantification of the effects of DR optimization in predominantly hydro systems is yet to be better explored, since such systems already have a large flexibility in operation. We present a mixed integer linear programming application of DR with load-block shifting for the day ahead scheduling model of predominantly hydro systems, based on the official model that is used to dispatch and set system hourly prices for the Brazilian system. The model comprises load curtailment based on price offer by consumers, as well as load-block shifting, which consists in a more precise representation of loads that have time-shifting flexibility but not load profile flexibility. We show that the performance of the model is computationally feasible and assess its impact on marginal/total operation costs. We also evaluate some aspects such as: competition among offers and optimal bidding points from the customer´s point of view. Results are presented for the IEEE 14-bus system and the actual Brazilian hydrothermal-wind system.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101728"},"PeriodicalIF":4.8,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935655","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

Research on the integration of mobile energy storage system for enhancing black start capability and resilience in distribution networks under extreme events 集成移动储能系统增强配电网在极端事件下的黑启动能力和恢复能力研究

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-10 DOI: 10.1016/j.segan.2025.101724

Xin Li , Yuhan Shi , Rui Zhang , Xudong Zhang , Ruoli Tang , Xiangguo Yang , Jingang Lai , Yan Zhang

{"title":"Research on the integration of mobile energy storage system for enhancing black start capability and resilience in distribution networks under extreme events","authors":"Xin Li , Yuhan Shi , Rui Zhang , Xudong Zhang , Ruoli Tang , Xiangguo Yang , Jingang Lai , Yan Zhang","doi":"10.1016/j.segan.2025.101724","DOIUrl":"10.1016/j.segan.2025.101724","url":null,"abstract":"<div><div>With the intensification of global climate change, the frequency of extreme weather events has increased, highlighting the vulnerability of distribution systems and resulting in prolonged power outages and significant economic losses. This paper proposes a strategy to enhance the resilience of distribution networks against extreme events using Mobile Energy Storage Systems (MESS). The main contributions of this study are: (1) enhancing the emergency power supply capacity of distribution networks against extreme events through strategic MESS configuration within the context of grid intelligence; (2) designing a scheduling strategy to achieve photovoltaic (PV) black start with MESS in response to power outages during extreme events; (3) developing a two-stage resilience recovery framework encompassing both pre-disaster prevention and post-disaster recovery to ensure a swift response and prompt restoration of the distribution network in the event of extreme occurrences. A case study using the improved IEEE 33-node distribution system validates the effectiveness of the proposed strategy. The results indicate that the configuration of MESS significantly improves the resilience of the distribution network under extreme events, with the recovery ratio of critical loads maintained above 90 %, thereby highlighting the advantages of diversified power supply resources in the post-disaster recovery of the grid.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101724"},"PeriodicalIF":4.8,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070580","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

Prediction of fast charging load in coupled power-transportation network considering users’ bounded rationality 考虑用户有限理性的耦合输电网快速充电负荷预测

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-10 DOI: 10.1016/j.segan.2025.101731

Yang Wang , Jinhao Bao , Buyang Qi , Zhenghui Zhao , Bin Li

{"title":"Prediction of fast charging load in coupled power-transportation network considering users’ bounded rationality","authors":"Yang Wang , Jinhao Bao , Buyang Qi , Zhenghui Zhao , Bin Li","doi":"10.1016/j.segan.2025.101731","DOIUrl":"10.1016/j.segan.2025.101731","url":null,"abstract":"<div><div>With the rapid development of electric vehicles (EVs) and their charging facilities, the coupling between the power distribution network (PDN) and the transportation network (TN) has been deepening. The increasing demand for fast charging of EVs can impact the stable operation of the coupled power and transportation network (CPTN). Therefore, accurate prediction of EV fast charging loads is crucial. In light of the limitations of traditional charging load prediction models that fail to fully consider traffic flow characteristics and user behavior, this paper proposes an EV fast charging load prediction model in CPTN considering users’ bounded rationality. A macro traffic flow model is employed to capture congestion dynamics within the TN, enabling a more realistic forecasting of traffic flow evolution. Additionally, a charging station dynamics model is developed to simulate the charging and queuing behaviors at charging stations, yielding the spatiotemporal distribution of charging loads. The micro user behavior decision model accounts for simultaneous route and departure time choices, reflecting the non-cooperative game behavior among user groups, and quantifies users’ bounded rationality as their tolerance for travel costs, leading to a more accurate equilibrium flow. By considering users’ bounded rationality, the model significantly reduces the iteration count, enhancing both computational efficiency and solution quality. Simulation results validate the effectiveness of the proposed model and algorithm, underscoring the necessity of accounting for traffic congestion characteristics and users’ bounded rationality.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101731"},"PeriodicalIF":4.8,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942232","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 comparative techno-economic study of the Net-Metering and Net-Billing self-consumption schemes for industrial and residential consumers in Greece 对希腊工业和住宅消费者的净计量和净计费自我消费方案的比较技术经济研究

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-10 DOI: 10.1016/j.segan.2025.101726

Christos K. Simoglou , Stylianos I. Vagropoulos , Pandelis N. Biskas

{"title":"A comparative techno-economic study of the Net-Metering and Net-Billing self-consumption schemes for industrial and residential consumers in Greece","authors":"Christos K. Simoglou , Stylianos I. Vagropoulos , Pandelis N. Biskas","doi":"10.1016/j.segan.2025.101726","DOIUrl":"10.1016/j.segan.2025.101726","url":null,"abstract":"<div><div>This paper presents a comparative techno-economic study of the net-metering and net-billing self-consumption schemes when applied to industrial and residential consumers that are equipped with a PV system in their premises. Fixed-tilt and single-axis tracking PV mounting systems have been considered, whereas the multiple cost components of the supply and regulated charges have been explicitly modeled and analyzed. Real-life electricity consumption and PV generation data have been used along with detailed wholesale electricity market data derived by an analytical long-term chronological simulation of the Greek wholesale electricity market under hourly time granularity for a 20-year study period (2026–2045) using a specialized integrated market simulation software. Simulation results show that the installation of an on-site PV system can lead to notable annual electricity cost savings for both consumer types and self-consumption schemes. The co-evaluation of the annual cost savings with the project investment and operational costs in the long-term provides further insights into the impact that the adopted self-consumption scheme along with the selected PV mounting system and the capital expenditure may have on standard project valuation indicators for each consumer type.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101726"},"PeriodicalIF":4.8,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098979","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

How important is fast-charging station modelling in distribution grid planning? Global sensitivity analysis of grid investment model output 快速充电站建模在配电网规划中有多重要？电网投资模型输出的全局敏感性分析

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-09 DOI: 10.1016/j.segan.2025.101721

Aurora Fosli Flataker , Iver Bakken Sperstad , Rubi Rana , Magnus Korpås

{"title":"How important is fast-charging station modelling in distribution grid planning? Global sensitivity analysis of grid investment model output","authors":"Aurora Fosli Flataker , Iver Bakken Sperstad , Rubi Rana , Magnus Korpås","doi":"10.1016/j.segan.2025.101721","DOIUrl":"10.1016/j.segan.2025.101721","url":null,"abstract":"<div><div>In this article, we address the problem of how to consider load demand from fast-charging stations (FCS) of electric vehicles in distribution grid planning. As the electrification of the transport sector proceeds, connection of charging stations becomes relevant in an increasing number of grid planning cases. However, as many of the inputs and assumptions to distribution grid planning studies are associated with uncertainty, it is not clear how important the modelling of FCSs is for the estimated grid investment costs and the risk of over- and underinvestment in grid capacity. To address this, we apply global sensitivity analysis (GSA) to a grid investment optimization model, which allows us to rank the input factors according to their contribution to the output uncertainty. A voltage-constrained 22 kV distribution grid with expected connection of a FCS is used as case study. The results of the sensitivity analysis show that the uncertainty of the voltage limit planning criterion and the placement of the FCS in the grid, are responsible for most of the output variance of the calculated present value costs of grid investments. This indicates that, to improve grid investment decisions, it is more important to select an appropriate voltage limit and have knowledge about the location of new FCSs, than to improve the estimates of other FCS-related input parameters. In the paper we discuss the use of GSA for guiding data gathering and modelling efforts, leading to improved models and analyses for electric vehicle integration and distribution grid planning.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101721"},"PeriodicalIF":4.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084535","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

Pre-disaster distributionally robust scheduling model for active distribution networks considering topology reconfiguration 考虑拓扑重构的有源配电网灾前分布式鲁棒调度模型

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-07 DOI: 10.1016/j.segan.2025.101725

Yi Xu , Sheng Chen , Kun Huang , Chun Li , Jiaben Liang , Guoqiang Sun

{"title":"Pre-disaster distributionally robust scheduling model for active distribution networks considering topology reconfiguration","authors":"Yi Xu , Sheng Chen , Kun Huang , Chun Li , Jiaben Liang , Guoqiang Sun","doi":"10.1016/j.segan.2025.101725","DOIUrl":"10.1016/j.segan.2025.101725","url":null,"abstract":"<div><div>Extreme natural disasters represent particularly significant challenges to the safe and economical operation of electric distribution networks (DNs) utilizing a high proportion of intermittent renewable energy. However, although topological reconstruction is regarded as an ideal approach to maximize the capability of DNs in rapidly restoring normal load supply in the face of emergencies, the randomness of fault occurrence and the uncertainty of renewable energy output have been relatively overlooked in previous research. The present work addresses this issue by proposing a pre-disaster distributionally robust scheduling model for active DNs considering topology reconfiguration with a high proportion of photovoltaic (PV) and energy storage system (ESS) resources while seeking to optimize the energy sources, electric power grids, electric loads, and ESSs (i.e., source–grid–load–storage coordination) collaboratively under PV output uncertainty. The model is a two-layer model. First, the upper-layer model aims to obtain the optimal DN topology that minimizes the total dispatch cost in the pre-disaster prevention stage under multiple fault scenarios using stochastic programming. Second, the lower-layer model applies a distributionally robust optimization (DRO) approach to optimize the source–load–storage scheduling strategy based on the DN topology given by the upper layer model, combined with the PV output scenarios. The DRO problem is solved using the column and constraint generation algorithm (C&CG). Finally, the effectiveness of the proposed two-layer scheduling scheme for improving the load survivability of a DN under extreme weather conditions and PV output uncertainties is verified based on the computational results obtained for an IEEE 33-bus system as an example.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101725"},"PeriodicalIF":4.8,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935653","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 fully decentralized spatiotemporal decomposition method for real-time peer-to-peer trading in distribution network 配电网实时点对点交易的全分散时空分解方法

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-06 DOI: 10.1016/j.segan.2025.101729

Jianquan Zhu, Wenhao Liu, Langsen Fang, Ruibing Wu, Jiajun Chen

{"title":"A fully decentralized spatiotemporal decomposition method for real-time peer-to-peer trading in distribution network","authors":"Jianquan Zhu, Wenhao Liu, Langsen Fang, Ruibing Wu, Jiajun Chen","doi":"10.1016/j.segan.2025.101729","DOIUrl":"10.1016/j.segan.2025.101729","url":null,"abstract":"<div><div>High penetration of distributed renewable energy (DRE) promotes the development of peer-to-peer (P2P) trading. In this study, P2P trading is extended from a deterministic single-period model to a stochastic multi-period model, which considers the interaction of both spatial and temporal dimensions. A stochastic dual dynamic programming (SDDP)-based decentralized method is proposed to coordinate this spatiotemporal effect. In the spatial dimension, the impact of bilateral transactions on power flow is considered by prosumers independently based on the cumulative effect of branch capacity and bus voltage shift, which protects the privacy of P2P trading while preventing power flow violation. In the temporal dimension, the influence between periods is coordinated by prosumers based on the state of charge (SOC), which gives them overview abilities to handle future uncertainties. Besides, the dynamic cut-set selecting strategy is presented to improve the solving efficiency of SDDP. Numerical simulations demonstrate the effectiveness of the proposed method, which can reduce the computational time by 52 %.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101729"},"PeriodicalIF":4.8,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070579","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 scalable and flexible solution to evaluate the effects of the integration of photovoltaic distributed generation systems within the electrical grid 一个可扩展和灵活的解决方案，以评估光伏分布式发电系统在电网中的集成效果

IF 4.8 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-05-06 DOI: 10.1016/j.segan.2025.101732

Marco Massano , Carlos Mateo Domingo , Enrico Macii , Edoardo Patti , Lorenzo Bottaccioli

{"title":"A scalable and flexible solution to evaluate the effects of the integration of photovoltaic distributed generation systems within the electrical grid","authors":"Marco Massano , Carlos Mateo Domingo , Enrico Macii , Edoardo Patti , Lorenzo Bottaccioli","doi":"10.1016/j.segan.2025.101732","DOIUrl":"10.1016/j.segan.2025.101732","url":null,"abstract":"<div><div>This study introduces a novel methodological approach for evaluating the impacts of distributed photovoltaic (PV) generation systems within Urban Energy Systems (UES) on the distribution grid at an infrastructural level by generating synthetic electricity networks. The methodology integrates Geographic Information System (GIS)-based procedures, simulation techniques, and energy models to provide a comprehensive tool for analyzing electricity power flows at a high spatio-temporal resolution.</div><div>The study emphasizes the potential for localized energy sharing and the formation of Energy Communities. The adaptable platform supports operational and planning activities, offering detailed analyses for various urban settings. The methodology provides a valuable tool for identifying and mitigating the challenges posed by distributed PV systems, such as reverse power flow, line congestion, and over-voltage problems.</div><div>A case study focusing on the city of Turin was conducted, wherein a synthetic network of a specific urban area was created and analyzed. This detailed examination revealed critical network vulnerabilities triggered by the simulated integration of photovoltaic (PV) power, highlighting specific points that require attention to be effectively addressed. Furthermore, the study explores potential interventions to enhance the network’s resilience and efficiency in accommodating distributed renewable energy sources.</div><div>The proposed methodology can be used by Energy Communities, Distribution System Operators, and other stakeholders to evaluate different scenarios, test different aggregations, and design effective control strategies to ensure the stability and reliability of the distribution grid.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"43 ","pages":"Article 101732"},"PeriodicalIF":4.8,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935652","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