IET Smart Grid最新文献

{"title":"A data-driven identification method for impedance stability analysis of inverter-based resources","authors":"Hongyi Wang,&nbsp;Pingyang Sun,&nbsp;Jalal Sahebkar Farkhani,&nbsp;Zhe Chen","doi":"10.1049/stg2.12160","DOIUrl":"10.1049/stg2.12160","url":null,"abstract":"<p>Obtaining inverter controller information may be a premise for seeking its dynamic behaviour. But accurate knowledge of such information would be unrealistic for real functioning inverter-interfaced generators (IIGs), which hinders the stability analysis of the IIG. A new data-driven impedance identification method is proposed for stability analysis, which involves an improved sparse identification algorithm as an ancillary function within the system identification framework. It contains mainly two design stages. First, the transform basis matrix (TBM) is devised systematically as a prior knowledge library to contain the possibly existing control structures. In the second stage, a sparse identification algorithm is reformulated in order to extract the relevant structures in TBM while obtaining controller parameters. The authors demonstrate that the sparse vector between the TBM and output signal is closely related to the controller structure. The effectiveness of the proposed method is verified on grid-connected inverters based on droop control and virtual synchronous machine control.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 5","pages":"572-582"},"PeriodicalIF":2.4,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140447037","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":"Multi-microgrid bi-layer economic scheduling strategy considering evolutionary-stackelberg hybrid game of electric vehicles","authors":"Qian Zhang,&nbsp;Jiaqi Wu,&nbsp;Tao Sun,&nbsp;Yaoyu Huang,&nbsp;Chunyan Li","doi":"10.1049/stg2.12159","DOIUrl":"10.1049/stg2.12159","url":null,"abstract":"<p>Aiming at the problem that the mobility characteristics of electric vehicles (EVs) lead to the complexity of optimal scheduling among multiple decision-making subjects, the authors propose a multi-microgrid bi-layer economic scheduling strategy considering evolutionary-stackelberg hybrid game of EVs. Firstly, in order to accurately analyse the influence of interaction among EVs, an electric vehicle aggregator (EVA) selection strategy for EV users based on evolutionary game among microgrids and a reconciliation strategy of EVA service fee are established. Secondly, a two-layer economic scheduling strategy for microgrids is proposed based on the Stackelberg game. The microgrid operator, as a leader, sets the internal price of microgrid based on the supply-demand balance; aggregators, as followers, adjust their electricity consumption and EVA choices based on the internal price and the evolutionary game model. Then, a multi-microgrid electricity-sharing trading strategy is constructed using the supply-demand ratio to encourage sub-microgrids to participate in internal transactions. Finally, the case shows that the proposed strategy can optimise the distribution of EVs among microgrids. Combining the across-time-and-space energy transmission potential of EVs and the flexible complementary capability of multi-microgrid, it can improve the operating economy of each microgrid.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 5","pages":"554-571"},"PeriodicalIF":2.4,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12159","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139842216","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":"Impact of EV charging on electrical distribution network and mitigating solutions – A review","authors":"Inam Nutkani,&nbsp;Hamish Toole,&nbsp;Nuwantha Fernando,&nbsp;Loh Poh Chiang Andrew","doi":"10.1049/stg2.12156","DOIUrl":"10.1049/stg2.12156","url":null,"abstract":"<p>Rapidly increasing uptake of Electric Vehicles (EVs) is expected to have a significant impact on electrical power distribution networks. Considerable work has been carried out to understand this impact and quantify the distribution networks hosting capacity, with and without network management solutions. However, the current body of knowledge does not have a comprehensive review of the research done to-date on this topic which is vital to understand the scope of the existing studies, the data used in analysing the impact, and, most importantly, the findings. A comprehensive yet focused review of impact of EV charging on distribution networks is presented by delving into the main factors restricting EV hosting capacity and the strategies used to maximise EV hosting capacity by managing the aforementioned impacts. The authors comprehensively summarise the approaches used to quantify the impact, network and data types, and the proposed solutions to increase network hosting capacity. Moreover, the shortcomings in the existing work are identified and recommendations for future research are provided to help stakeholders understand the current state-of-the-art, make informed decisions, and to be considered by future researchers.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 5","pages":"485-502"},"PeriodicalIF":2.4,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139857900","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 control and energy management combined with cyberattack identification in multi-microgrid integrated with hybrid renewable-storage","authors":"Hossien Faraji,&nbsp;Reza Hemmati","doi":"10.1049/stg2.12158","DOIUrl":"10.1049/stg2.12158","url":null,"abstract":"<p>A comprehensive model is developed for coordinated control of voltage-frequency-inertia and identifying multiple cyberattacks simultaneously in two microgrids (MGs). The MGs are integrated with solar units, Wind turbine (WT), hybrid supercapacitor-battery, and fuelcell. The MGs are modelled and controlled for operation under both an island and connected states. In the proposed method, a data centre is designed in which all the electrical and control signals related to the solar, wind, hybrid supercapacitor-battery, and Fuel cell (FC) are collected, evaluated, and matched. The data centre comprises the following blocks: voltage-frequency control, inertia control of WT, and identification of false data injection (FDI) cyberattacks on frequency, power, power/frequency, and voltage. The technique used in this article to identify FDI attacks is based on the real-time method coupled with logical comparisons conducted in the time domain. This methodology provides prompt and precise detection, allowing for timely preventive measures and strategic responses. After FDI attacks occur, the implemented control system effectively manages and regulates the voltage and frequency at the desired levels, efficiently differentiating between ordinary functioning, faulty states, and potential cyber-attacks. The unhealthy MG can transfer its load to the healthy MG for safety reasons. The healthy MG is then connected to the external grid and the synchronisation conditions are checked by the proposed control system. The results of the non-linear simulation performed in MATLAB-Simulink software confirm that the proposed model successfully operates and controls all resources (i.e. solar/wind/battery/FC), regulates the voltage/frequency under various loading conditions, and identifies FDI cyberattacks.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 5","pages":"531-553"},"PeriodicalIF":2.4,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12158","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139803035","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":"Voltage regulation in low voltage distribution networks with unbalanced penetrations of photovoltaics and battery storage systems","authors":"Alexander Micallef,&nbsp;Cyril Spiteri-Staines,&nbsp;John Licari","doi":"10.1049/stg2.12155","DOIUrl":"10.1049/stg2.12155","url":null,"abstract":"<p>Grid integration constraints are limiting the deployment potential of renewable energy sources in Malta. Large penetrations of photovoltaics in the low voltage (LV) distribution network pose a significant risk to grid stability due to their inherent intermittency and are known to cause overvoltages and reverse power flows. The authors evaluate how self-consumption strategies with distributed battery energy storage systems can contribute to the voltage regulation in LV networks and the reduction of reverse power flows. The batteries are controlled to absorb the reverse power flow at the dwellings' point of common coupling, before this is injected into the LV network. Simulations show that uncoordinated strategies are not suitable to address the distribution network challenges during reverse power flows and evening peak demands. On the other hand, self-consumption coordinated by a time-varying feed-in tariff (FiT) can provide higher profitability to the prosumers while providing added benefits to the utility. The net-billing profitability for the prosumers in a self-consumption scenario with time-varying FiT is transformed from the downward trend of the uncoordinated scenario to an upward trend against the increasing values of storage capacity.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 3","pages":"264-276"},"PeriodicalIF":2.3,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12155","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139815574","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":"Total supply capability of electricity distribution networks considering flexible interconnection of low-voltage service transformers","authors":"Guoqiang Zu,&nbsp;Ying Wang,&nbsp;Xun Jiang,&nbsp;Ziyuan Hao,&nbsp;Xin Zhang","doi":"10.1049/stg2.12157","DOIUrl":"10.1049/stg2.12157","url":null,"abstract":"<p>Under the target of ‘emission peak and carbon neutrality’, electricity distribution networks will massively access low-carbon technologies, which will result in problems such as insufficient hosting capacity, unbalanced electricity loads, degraded power quality etc. The low-voltage flexible distribution network (LVFDN), which interconnects its low-voltage service transformers using flexible power electronic devices (flexible interconnected devices [FIDs]) is considered an effective means to deal with the challenges above. The total supply capability (TSC) of LVFDN is proposed. Firstly, the typical structures of LVFDN and their operation modes are proposed. Then, the TSC model of LVFDN, which formulates flexible power flow control and multi-level (medium-voltage feeder and low-voltage flexible interconnection) load transfer is proposed. Due to the non-linear non-convex characteristics of the proposed TSC model, a new algorithm based on the ‘branch and bound algorithm’ is also provided. In the case study, the TSC of an actual electricity distribution network is calculated and tested by the N-1 verification method. Finally, the variations of TSC with different capacities of the low-voltage FID are analysed. Suggestions for the planning and operation of LVFDN are also given. A theoretical basis for the application of flexible interconnection technology in low-voltage electricity distribution networks is provided.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 4","pages":"386-399"},"PeriodicalIF":2.4,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12157","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140474897","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":"Impacts of grid-scale battery systems on power system operation, case of Baltic region","authors":"Roya AhmadiAhangar,&nbsp;Freddy Plaum,&nbsp;Tobias Haring,&nbsp;Imre Drovtar,&nbsp;Tarmo Korotko,&nbsp;Argo Rosin","doi":"10.1049/stg2.12142","DOIUrl":"10.1049/stg2.12142","url":null,"abstract":"<p>Grid stability can be affected by the large-scale utilisation of renewable energy sources because there are fluctuations in generation and load. These issues can be effectively addressed by grid-scale battery energy storage systems (BESS), which can respond quickly and provide high energy density. Different roles of grid-scale BESS in power systems are addressed, following optimal operation approaches classification. Furthermore, integrating BESSs into distribution grids is discussed to manage challenges from distributed generation. BESSs aid in voltage control, enhance frequency regulation, and offer black-start services. Aggregating distributed BESSs can provide ancillary services and improve grid economics. For consumers, BESSs optimise energy costs, enhance reliability, and support self-consumption from renewables. Novel BESS services include congestion relief, system adequacy, and power quality enhancement. Moreover, the ancillary services provided in different European countries through BESS are analysed. Finally, a case study was conducted among three Baltic DSOs to analyse the required amendments to Grid Codes and Electricity Market Acts for the integration of grid scale BESS.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 2","pages":"101-119"},"PeriodicalIF":2.3,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139618493","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":"Common direct current (DC) bus integration of DC fast chargers, grid-scale energy storage, and solar photovoltaic: New York City case study","authors":"Mohamed K. Kamaludeen,&nbsp;Kirn Zafar,&nbsp;Yusef Esa,&nbsp;Ahmed Ali A. Mohamed,&nbsp;Elihu Nyemah,&nbsp;Lizzette Salmeron,&nbsp;Simon Odie","doi":"10.1049/stg2.12154","DOIUrl":"10.1049/stg2.12154","url":null,"abstract":"<p>The mass deployment of distributed energy resources (DERs) to achieve clean energy objectives has become a major goal across several states in the U.S. However, the viability and reality of achieving these goals in dense urban areas, such as New York City, are challenged by several ‘Techno-Economic’ barriers associated with available land space and the number of AC/direct current (DC) conversion stages that requires multiple electrical balance of plant (BOP) equipment for pairing/interconnecting these resources to the grid. The fundamental issue of interconnection is addressed by assessing the use of a common DC bus in a one-of-a-kind configuration (to pair grid-connected energy storage, photovoltaic, and electric vehicle chargers (EVC) systems) and reduce the number of BOP equipment needed for deployment. Building on similar work that has touched on distribution-level DC interconnection, this paper will also address the intricacies of interconnecting third-party and Utility DERs to a DC-based point of common coupling. It will examine the requisite site controller configuration (control architecture) and requirements to coordinate the energy storage system's use between managing Utility and Third-Party EVC demand while prioritising dispatch. The result shows that the DC-coupled system is technologically feasible and hierarchical control architecture is recommended to maintain stability during various use cases proposed. This will inform a lab demonstration of this system that aims to test DC integration of the DERs with recommendations for the microgrid (MG) controllers and reduction in the BOP equipment. These learnings will then be applied to practical grid-scale deployment of the systems at Con Edison's Cedar Street Substation. This system, if proven successful, has the potential to change the way community distributed generation and MGs are interconnected to the Utility System.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 3","pages":"351-365"},"PeriodicalIF":2.3,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12154","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139534150","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":"Machine learning autoencoder-based parameters prediction for solar power generation systems in smart grid","authors":"Ahsan Zafar,&nbsp;Yanbo Che,&nbsp;Muhammad Faheem,&nbsp;Muhammad Abubakar,&nbsp;Shujaat Ali,&nbsp;Muhammad Shoaib Bhutta","doi":"10.1049/stg2.12153","DOIUrl":"10.1049/stg2.12153","url":null,"abstract":"<p>During the fourth energy revolution, artificial intelligence implementation is necessary in all fields of technology to meet the increasing energy demands and address the diminishing fossil fuel reserves, necessitating the shift towards smart grids. The authors focus on predicting parameters accurately to minimise loss and improve power generation capacity in smart grids, given that accurate parameter prediction is essential for traditional power grid stations converting to smart grids. The authors employ an artificial intelligence-based machine learning model, namely the long short-term memory, to predict parameters of a solar power plant. After analysing the results obtained from the long short-term memory model in graphical visualisation, the model is further improved using two different techniques namely, a convolutional neural network-long short-term memory and the authors proposed an autoencoder long short-term memory. Comparing the results of these models, the study finds that autoencoder long short-term memory outperforms the convolutional neural network-long short-term memory as well as simple long short-term memory. Thus, the use of artificial intelligence in this study substantially enhances the precision of parameter prediction by augmenting the performance of rudimentary machine learning models, thereby facilitating the attainment of a resilient and resourceful power system that overcomes power losses and ameliorates production capacity in the context of Smart Grids.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 3","pages":"328-350"},"PeriodicalIF":2.3,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12153","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139389252","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":"The charge-discharge compensation pricing strategy of electric vehicle aggregator considering users response willingness from the perspective of Stackelberg game","authors":"Xiaohong Dong,&nbsp;Xiangyu Wei,&nbsp;Guoqiang Zu,&nbsp;Yang Ma,&nbsp;Xiaodan Yu,&nbsp;Yunfei Mu","doi":"10.1049/stg2.12148","DOIUrl":"10.1049/stg2.12148","url":null,"abstract":"<p>With the rapid increase of electric vehicle (EV) ownership, the impact of EV charging load on the power grid is becoming more and more prominent. To reasonably guide EV charging/discharging to participate in Demand Response (DR) and help the power grid achieve peak cutting and valley filling, the charge-discharge compensation pricing strategy of EV Aggregator (EVA) considering user response willingness from the perspective of Stackelberg game is proposed. Firstly, EVA, as the leader, provides charge-discharge compensation price, to maximise its income within a day, taking into account user satisfaction constraints. Secondly, a user response willingness model is established. User engagement is used to describe the change in the number of EV responses with the change of the charge-discharge compensation price by EVA and select the random EV set that accepts EVA charge-discharge guidance. Finally, EV, as a follower, conducts charging/discharging behaviour to minimise the charging cost. By using the Karush–Kuhn–Tucker (KKT) condition, strong duality theory and iterative method, the strategy equilibrium solution is solved. The results show that considering the user response willingness can effectively reduce the decision risk when EVA participates in bidding. Although EVA income slightly decreases considering the response willingness, the average user satisfaction increases by 0.1.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 3","pages":"277-293"},"PeriodicalIF":2.3,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12148","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154602","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}