IET Smart Grid最新文献

Advanced Generation of Uncertainty Scenarios to Enhance a Stochastic Day-Ahead Scheduling in a Local Energy Community 基于不确定性情景先进生成的局部能源社区随机日前调度

IF 2.4

IET Smart Grid Pub Date : 2025-06-11 DOI: 10.1049/stg2.70021

An Thien Huu Nguyen, Truong Hoang Bao Huy, Han Slootweg, Phuong Hong Nguyen

{"title":"Advanced Generation of Uncertainty Scenarios to Enhance a Stochastic Day-Ahead Scheduling in a Local Energy Community","authors":"An Thien Huu Nguyen, Truong Hoang Bao Huy, Han Slootweg, Phuong Hong Nguyen","doi":"10.1049/stg2.70021","DOIUrl":"https://doi.org/10.1049/stg2.70021","url":null,"abstract":"Local energy communities (LECs) represent a collaborative approach to managing energy resources, where community members share and optimise the use of distributed energy resources (DERs). Hence, they require multiple objective functions to optimise a set of objectives, including economic, environmental, social and technical considerations while addressing the diverse interests of community members and stakeholders. Due to the complexity of LECs and the unpredictability of DERs, real-time operations in LECs often deviate significantly from day-ahead scheduling. To tackle these challenges, this paper presents a stochastic multi-objective optimization framework designed to improve day-ahead scheduling by accounting for forecasting errors in DERs. The proposed method employs advanced scenario generation techniques, including multivariate copulas and quantile forecasting, to capture uncertainties in load demand and renewable production without relying on prior distribution assumptions. The results demonstrate significant improvements in energy bill savings, grid management and user comfort, highlighting the effectiveness of the proposed optimization framework using a real-world dataset from a living lab in the Netherlands.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bi-Level Optimisation Model for Harvesting Spatial-Temporal Load Shifting Flexibility of Data Centres Using Endogenously Formed Locational Price Signal 利用内生位置价格信号获取数据中心时空负荷转移灵活性的双层优化模型

IF 2.4

IET Smart Grid Pub Date : 2025-06-03 DOI: 10.1049/stg2.70020

Ding Ma, Yujian Ye, Yizhi Wu, Dezhi Xu, Zhaohao Ding, Goran Strbac

{"title":"Bi-Level Optimisation Model for Harvesting Spatial-Temporal Load Shifting Flexibility of Data Centres Using Endogenously Formed Locational Price Signal","authors":"Ding Ma, Yujian Ye, Yizhi Wu, Dezhi Xu, Zhaohao Ding, Goran Strbac","doi":"10.1049/stg2.70020","DOIUrl":"https://doi.org/10.1049/stg2.70020","url":null,"abstract":"With the rapid advancement of digital information technology, the demand for computational power continues to grow, driving the expansion of the data centre (DC) industry, leading to gigantic amount of energy consumption and greenhouse gas emission. DCs, serving as flexible and adjustable resources on the load side of power systems, are essential to the operation of modern energy systems. In this context, this paper proposes a coordinated and secure scheduling strategy for DCs and power system, utilising spatial-temporal flexibility. First, the architecture and operational characteristics of DCs are analysed, followed by the development of an power consumption model to quantify their spatial-temporal flexibility. Then, a bi-level optimisation model is developed to coordinate computational power and electricity, considering DCs' dual roles as independent operators and flexible resources that influence locational electricity prices. Finally, simulation analyses are performed on the modified IEEE 39-node system. The results demonstrate that the proposed strategy effectively utilises the spatial-temporal flexibility of DCs, alleviating system congestion. In terms of economic benefits, it enhances the cost efficiency of the DCs by 70% and reduces the system's operating costs by 46%. Regarding environmental impact, the strategy increases renewable energy consumption by 26.58% and significantly reduces carbon emissions by 63%.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Frequency-Constrained Real-Time Co-Optimisation of Energy and Regulation Reserve Integrated With Battery Energy Storage Systems 与电池储能系统集成的频率约束能量和调节储备实时协同优化

IF 2.4

IET Smart Grid Pub Date : 2025-06-02 DOI: 10.1049/stg2.70017

Mohammad Amin Mirzaei, Masood Parvania

{"title":"Frequency-Constrained Real-Time Co-Optimisation of Energy and Regulation Reserve Integrated With Battery Energy Storage Systems","authors":"Mohammad Amin Mirzaei, Masood Parvania","doi":"10.1049/stg2.70017","DOIUrl":"https://doi.org/10.1049/stg2.70017","url":null,"abstract":"This paper proposes a real-time co-optimisation framework integrated with automatic generation control (RTC-AGC) for the optimal reallocation of energy and regulation reserves in real-time electricity markets. A rolling-horizon optimisation approach is also proposed to dynamically optimise resource scheduling by reallocating based on forecasted load demand and renewable generation patterns over a moving time window. Inverter-based battery energy storage (IBES) systems are also introduced as flexible resources to regulate frequency deviation in AGC by optimally reallocating up- and down-regulation reserves in the real-time market. The integrated RTC-AGC framework accurately represents the dynamic behaviour of thermal generation units and IBES systems, enabling the precise and cost-efficient reallocation of up- and down-regulation reserves in the real-time market. The proposed model is formulated as a two-stage stochastic mixed-integer linear programming model and solved by the CPLEX solver in GAMS software. The findings highlight that IBES can significantly reduce frequency deviations by 50% while lowering operational costs by 7.13% in power systems integrated with renewable energy resources.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic Safety, Economy, and Low-Carbon Optimisation in Smart Distribution Networks 智能配电网的随机安全、经济和低碳优化

IF 2.4

IET Smart Grid Pub Date : 2025-05-19 DOI: 10.1049/stg2.70018

Qiran Liu, Yueyang Xu, Qionglin Li, Ze Wang, Qunhai Huo, Tongzhen Wei

{"title":"Stochastic Safety, Economy, and Low-Carbon Optimisation in Smart Distribution Networks","authors":"Qiran Liu, Yueyang Xu, Qionglin Li, Ze Wang, Qunhai Huo, Tongzhen Wei","doi":"10.1049/stg2.70018","DOIUrl":"https://doi.org/10.1049/stg2.70018","url":null,"abstract":"Under the dual-carbon target, distributed energy sources often cause power mismatches between supply and load, challenging the stability and safety of distribution networks. This paper proposes a comprehensive evaluation system for active distribution network operation, focusing on safety, economy and low carbon emissions. A cooperative optimal scheduling strategy for multiple agents based on stochastic programming is also introduced. The operating characteristics of energy sources, storage and loads are modelled to quantify their flexible regulation capabilities. A unified multi-objective evaluation system is constructed with matching constraints designed and linearised. A smart distribution network cooperative optimisation model is proposed, using the improved K-means algorithm to generate typical scenarios and obtain optimal scheduling schemes through mixed-integer linear programming (MILP) optimisation. The simulation model is developed on the MATLAB-YALMIP platform and solved using CPLEX. In representative annual scenarios, the strategy improves the economic index by 10.9%, the low-carbon index by an average of 10.7% and the overall index by an average of 12.7%. The results show significant enhancement in multi-dimensional operational metrics, highlighting its practical relevance.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Entropy-Based Hybrid Conjugate Gradient Scheme for Locating High Impedance Faults in DC Microgrids 基于熵的混合共轭梯度法在直流微电网高阻抗故障定位中的应用

IF 2.4

IET Smart Grid Pub Date : 2025-05-19 DOI: 10.1049/stg2.70015

Reza Rahmani, Seyed Hossein Hesamedin Sadeghi, Hossein Askarian Abyaneh, Mohammad Javad Emadi

{"title":"An Entropy-Based Hybrid Conjugate Gradient Scheme for Locating High Impedance Faults in DC Microgrids","authors":"Reza Rahmani, Seyed Hossein Hesamedin Sadeghi, Hossein Askarian Abyaneh, Mohammad Javad Emadi","doi":"10.1049/stg2.70015","DOIUrl":"https://doi.org/10.1049/stg2.70015","url":null,"abstract":"This Paper proposes an efficient inversion scheme based on Shannon entropy to determine the location of high impedance faults (HIFs) in DC microgrids in the presence of noise. The proposed scheme adopts a phenomenological approach that uses a physical model to iteratively solve the inverse problem. The problem is posed as an optimisation problem that determines the most likely location of a fault by minimising an appropriate objective function; it denotes the disparity between the entropy of the current waveforms observed by the protection relays at the time of fault detection and their model-predicted counterparts. A hybrid optimisation technique based on the conjugate gradient method is adopted in the inversion process that secures a robust and fast convergence of the proposed method. The primary advantage of this scheme is its accuracy in noisy environments with no limitation on the type of fault and value of fault impedance. To examine the performance of the proposed scheme, a mesh-type DC microgrid is simulated and the results are compared with one of the state of-the-art methods. It has been shown that the proposed method can accurately locate HIFs with fault resistance as high as 100 Ω and signal-to-noise ratio as low as 20 dB.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resilient Preventive Dispatch Considering Load Priority and Interdependence of Critical Infrastructures 考虑负荷优先级和关键基础设施相互依赖的弹性预防调度

IF 2.4

IET Smart Grid Pub Date : 2025-05-11 DOI: 10.1049/stg2.70012

Ying Yang, Yuting Mou, Beibei Wang

{"title":"Resilient Preventive Dispatch Considering Load Priority and Interdependence of Critical Infrastructures","authors":"Ying Yang, Yuting Mou, Beibei Wang","doi":"10.1049/stg2.70012","DOIUrl":"https://doi.org/10.1049/stg2.70012","url":null,"abstract":"As extreme weather events become increasingly frequent and societal development places greater emphasis on a stable electricity supply, there is an increasing focus on the resilience of electrical distribution systems (EDSs). This is especially crucial in preventing cascading failures among interdependent critical infrastructures, such as medical, water, and telecommunication systems. Proactively preparing to cope with disruptive events causing a high risk of power outage is essential for improving the resilience of EDSs. A performance index, human well-being loss (HWL), is proposed to assess the disruption to people's quality of life during extreme weather events, considering the interdependence among critical infrastructures. Based on the proposed index, a novel resilience enhancement framework is proposed, which takes into account expected generation costs, economic losses due to power curtailment and HWL. Subsequently, a two-stage stochastic model for preventive disaster is presented, which optimises power rationing strategies and dispatch schedules. Through a series of case studies, the authors illustrate that the proposed framework can effectively reduce costs, alleviate abnormal operational hours of critical infrastructures and achieve a balance between economic, safety, and social benefits.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143939023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Virtual Complex Impedance-Based Power Sharing Control Scheme for Islanded Microgrids 基于虚拟复杂阻抗的孤岛微电网自适应功率共享控制方案

IF 2.4

IET Smart Grid Pub Date : 2025-04-26 DOI: 10.1049/stg2.70014

Junjie Ma, Hui Wang

{"title":"Adaptive Virtual Complex Impedance-Based Power Sharing Control Scheme for Islanded Microgrids","authors":"Junjie Ma, Hui Wang","doi":"10.1049/stg2.70014","DOIUrl":"https://doi.org/10.1049/stg2.70014","url":null,"abstract":"To overcome the inaccurate power sharing and circulating current issues caused by the mismatched feeder impedance, this paper proposed an adaptive virtual complex impedance-based power sharing control scheme, where both virtual inductance and virtual resistance are introduced in the control loop. Although communication is employed in this scheme, it is just used to facilitate tuning virtual impedance to compensate for the mismatched voltage drop across the feeders instead of tuning control’s closed loops; therefore, the power sharing performance is not affected by the communication time delay. Once the virtual impedances are tuned at a given load, the scheme ensures good power sharing performance even if the communication is interrupted. Moreover, a detailed state-space model is developed, and the system stability analysis is conducted. Finally, the effectiveness of the proposed scheme is validated. The simulation results show that the reactive power error is reduced from 12.2% to 0.18% with the proposed control scheme, and the scheme exhibits good power-sharing performance under conditions of load changes and communication interruptions. In addition, corresponding experimental results have also been obtained using RT-LAB.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Spine and Multiple Platforms: Integrating Logistics, Data, Connectivity, and Energy for Electric Commercial Vehicles 数字脊柱和多平台：集成物流、数据、连接和能源的电动商用车

IF 2.4

IET Smart Grid Pub Date : 2025-04-17 DOI: 10.1049/stg2.70013

Rashid Dehkordi, Petri Ahokangas, Mika Sorvisto

{"title":"Digital Spine and Multiple Platforms: Integrating Logistics, Data, Connectivity, and Energy for Electric Commercial Vehicles","authors":"Rashid Dehkordi, Petri Ahokangas, Mika Sorvisto","doi":"10.1049/stg2.70013","DOIUrl":"https://doi.org/10.1049/stg2.70013","url":null,"abstract":"As the world shifts to the electrification of road transportation, the role of electric commercial vehicles (ECVs) is becoming increasingly significant in reducing carbon emissions. However, integrating ECVs into the transportation sector presents complex challenges. This research explores and expands on the concept of the digital spine (DS) in the multiplatform ECV ecosystem. The digital spine complements the physical infrastructure to enhance operational efficiency. Despite its potential, current research gaps highlight the need for focused studies on digital spine implementation for ECVs. This paper addresses this gap by: (1) exploring the drivers and challenges of implementing the digital spine within the ECV ecosystem, considering technological, economic, and regulatory perspectives; (2) exploring the role and potential benefits of the digital spine in the ECV ecosystem; and (3) redefining the digital spine as a governance model that integrates logistics, cloud data, mobile connectivity, and energy layers to ensure optimised ecosystem functionality. The findings highlight the role of the digital spine in integrating critical infrastructure and facilitating cross-layer interactions and interoperability in a multiplatform ecosystem.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Positive Impacts of Demand and Source Management on Improving Eco-Emission Constraints of Combined Hydrogen, Heat and Power 需求与源管理对改善氢热电联产生态排放约束的积极影响

IF 2.4

IET Smart Grid Pub Date : 2025-04-17 DOI: 10.1049/stg2.70011

Mojtaba Pirmohammad Talatape, Reza Ghanizadeh, Sajad Bagheri, Mohammad Reza Miveh

{"title":"Positive Impacts of Demand and Source Management on Improving Eco-Emission Constraints of Combined Hydrogen, Heat and Power","authors":"Mojtaba Pirmohammad Talatape, Reza Ghanizadeh, Sajad Bagheri, Mohammad Reza Miveh","doi":"10.1049/stg2.70011","DOIUrl":"https://doi.org/10.1049/stg2.70011","url":null,"abstract":"Cogeneration sources are good choices for meeting the diversity of consumers energy demand. Recently, with the introduction of the microgrid (MG) concept, to increase security, reliability, and quality of the system, loads are fed locally by low-scale generation units. In this work, a Combined Hydrogen, Heat, and Power (CHHP)-based MG (CHHP-MG) is presented. The impacts of employing demand and resource management approaches are analysed in terms of benefits and pollution aspects of the operational problem. To conduct a comprehensive study, management approaches are employed for two different constructions of CHHP. To solve the demand-side management problem, a combination of the Sunflower Optimisation Algorithm and an Analytic Hierarchy Process (AHP) is used. The numerical results indicate that the proposed demand-side management method performs well in improving the economic and environmental indices of the MG. Specifically, the simulation of the proposed model demonstrates a 3% reduction in total pollution on the demand side, a 42% reduction on the energy resource management side, and a 44% reduction on both the demand and energy resource management sides. Meanwhile, economic profit increased by 34.19% on the demand side, 49.2% on the energy resource management side, and 70% when both the demand and energy resource management sides were applied.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

T2SR: Super-Resolution in Smart Meter Data Using a Transformer-Based Framework T2SR：使用基于变压器的框架的智能电表数据的超分辨率

IF 2.4

IET Smart Grid Pub Date : 2025-04-07 DOI: 10.1049/stg2.70010

Malin Iversen, Mehak Khan, Amir Miraki, Reza Arghandeh

引用次数: 0