{"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":"<p>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.</p>","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}
{"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":"<p>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.</p>","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}
IET Smart GridPub Date : 2025-05-11DOI: 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":"<p>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.</p>","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}
IET Smart GridPub Date : 2025-04-26DOI: 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":"<p>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.</p>","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}
IET Smart GridPub Date : 2025-04-17DOI: 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":"<p>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.</p>","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}
IET Smart GridPub Date : 2025-04-17DOI: 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":"<p>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.</p>","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}
IET Smart GridPub Date : 2025-04-07DOI: 10.1049/stg2.70010
Malin Iversen, Mehak Khan, Amir Miraki, Reza Arghandeh
{"title":"T2SR: Super-Resolution in Smart Meter Data Using a Transformer-Based Framework","authors":"Malin Iversen, Mehak Khan, Amir Miraki, Reza Arghandeh","doi":"10.1049/stg2.70010","DOIUrl":"https://doi.org/10.1049/stg2.70010","url":null,"abstract":"<p>Access to smart metre data at higher resolutions has the potential of improving energy management and load forecasting. However, such data presents several complexities, such as added pressure on resources and increased expenses. Super-Resolution (SR) is a technology with the capability of solving this problem, by reconstructing low-resolution data into high-resolution data. This study examines the potential of predicting high-resolution smart metre data obtained from low-resolution smart metre data. The study is conducted in Bergen, Norway, where power consumption data was used from a residential building. To tackle the challenges of acquiring high-resolution data, the authors propose a Transformer-based T2SR framework for SR in smart metre data. The proposed framework shows promising results in experiments, especially in predicting complex details in target patterns, in comparison to other state-of-the-art deep learning methods. The code is available at https://github.com/Ci2Lab/Malin_T2SR_Framework.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143793290","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}
IET Smart GridPub Date : 2025-04-02DOI: 10.1049/stg2.70007
Mohsen Safarzadeh, Gholam Reza Yousefi, Mohammad Amin Latify, Zeinab Maleki
{"title":"Power System Controlled Islanding Using Directed Motif-Based Spectral Clustering: A Novel Complex Network Perspective","authors":"Mohsen Safarzadeh, Gholam Reza Yousefi, Mohammad Amin Latify, Zeinab Maleki","doi":"10.1049/stg2.70007","DOIUrl":"https://doi.org/10.1049/stg2.70007","url":null,"abstract":"<p>Intentional Controlled Islanding (ICI) is a wide-area self-healing strategy to prevent power system blackouts. Recent studies integrate ICI within a complex network framework using community detection techniques, thus addressing the complex nature of power systems. The spectral clustering algorithm (SCA) has shown effectiveness in community detection within complex power networks. However, the focus of SCA on undirected networks fails to satisfy the generator coherency constraint. Additionally, it inadequately represents the electrical characteristics required for optimal islanding. This paper implements the ICI scheme via directed community detection, enabling comprehensive community discovery. The process begins with power flow tracing, creating a directed weighted network between generators and loads. To analyse this network, we apply the motif-based spectral clustering algorithm (MSCA) that accounts for both the direction and weight of the edges. Specifically, we define electrical motifs in power networks as high-order subnetworks considering directed weighted connectivity patterns between generators and loads. Numerical simulations on various test cases compare the performance of MSCA and SCA to evaluate the proposed method. According to the results, the SCA based on motifs, as employed in this paper, outperforms traditional SCA using undirected edges as low-order structures. This novel approach increases load restoration and reduces restoration time.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761833","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}
IET Smart GridPub Date : 2025-04-01DOI: 10.1049/stg2.70008
Yifeng Li, Wei Pei, Jiawang Xiong, Wei Deng
{"title":"A Generalised Power Synchronisation Loop Design for Performance Enhancement of Grid-Forming Converter","authors":"Yifeng Li, Wei Pei, Jiawang Xiong, Wei Deng","doi":"10.1049/stg2.70008","DOIUrl":"https://doi.org/10.1049/stg2.70008","url":null,"abstract":"<p>The dynamic characteristics of a grid-forming converter (GFM) directly affect the stable operation of converter-based power systems, where the power synchronisation loop plays a critical role in the shaping of the dynamic characteristics of the GFM converter. Currently, the power synchronisation loop is generally designed by emulating the synchronous machine models and can only provide the inertia and damping characteristics. The stiffness, one of the most important dynamic features, is lacking in the dynamic design of the GFM converter. In this paper, we propose a generalised power synchronisation loop (GPSL) to enable the GFM converter with the inertia, the damping and the stiffness simultaneously. By properly choosing the loop parameters, the dynamic performance and flexibility of the GFM converter can be enhanced. The dynamic property of the GFM converter system and the multiple GFM converter system under the proposed GPSL is both analysed. Moreover, a parameter tunning procedure is given to facilitate the usage of the GPLS. Finally, simulation and experimental results verify the feasibility and effectiveness of the proposed method.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749598","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}
{"title":"Coordinated Reactive Power Optimal Control Considering the Voltage Security of Wind Farm","authors":"Guanhui Li, Wen Zhang, Qi Zhao, Mingkui Wei, Li Shen, Qinyong Zhou, Yiying Gao","doi":"10.1049/stg2.70009","DOIUrl":"https://doi.org/10.1049/stg2.70009","url":null,"abstract":"<p>With the increasing penetration of wind farms (WFs) in power systems, they are demanded to support reactive power to guarantee the economical operation of power grids. Limited by the operational security of WFs, their reactive power output may not meet the system requirements. This paper introduces a bi-layer coordinated reactive power optimal control method to ensure the WFs' reactive power support to the system while guaranteeing the operational security and economy of them. The system layer focuses on reducing network loss through coordinating the reactive power outputs of WFs, transformers and other sources. The WF layer tries to meet the reactive power demands set by the system layer while ensuring the voltage security in WF with the minimum network loss. Information of the reactive power demand and the WFs' maximum reactive power supply within their voltage security limitation is exchanged between the two layers and the iteration will converge until all WFs meet the system's reactive power demands. The validity of the strategy is validated in the modified IEEE 14-bus system and an actual regional power system of China.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689169","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}