IET Smart GridPub Date : 2023-10-05DOI: 10.1049/stg2.12134
George Rouwhorst, Albert Pondes, Phuong H. Nguyen, Han Slootweg
{"title":"Medium-term forecasting of daily aggregated peak loads from heat pumps using clustering-based load duration curves to calculate the annual impact on medium to low voltage transformers","authors":"George Rouwhorst, Albert Pondes, Phuong H. Nguyen, Han Slootweg","doi":"10.1049/stg2.12134","DOIUrl":"10.1049/stg2.12134","url":null,"abstract":"<p>The energy transition drives the adoption of heat pumps (HPs). Their peak loads have a large impact on distribution networks. Therefore, the proposed methodology calculates the annual impact on medium to low voltage (MV/LV) transformers based on a medium-term forecast of daily aggregated peak loads from HPs using the number, their rated power, a normalised load duration curve, and the daily average ambient temperature. The forecast differentiates between daily aggregated peak loads of HPs with different heating demands and the varying impact due to seasonal weather differences. First, 221 measured residential HPs over two years were randomly selected and clustered to identify different heating demands. These clusters were used to calculate four representation functions. Second, 108 other measured HPs were clustered and used to forecast the aggregated peak load with the calculated four representation functions. These forecasts were used to calculate the annual impact on an MV/LV transformer with a daily time resolution. These results indicate the periods over a year that the MV/LV transformer is at risk of congestion and it indicates the potential to mitigate congestion through demand-side management.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134975518","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 : 2023-09-20DOI: 10.1049/stg2.12133
Naser Azim Mohseni, Navid Bayati, Thomas Ebel
{"title":"Energy management strategies of hybrid electric vehicles: A comparative review","authors":"Naser Azim Mohseni, Navid Bayati, Thomas Ebel","doi":"10.1049/stg2.12133","DOIUrl":"10.1049/stg2.12133","url":null,"abstract":"<p>With increasing environmental problems, including air pollution, rising greenhouse gases and global warming, the need to use clean energy resources seems essential. Therefore, the usage of clean and renewable energy sources is suggested as a suitable solution to overcome the mentioned concerns. The transportation section contributes to a huge percentage of energy consumption. Hybrid electric vehicles (HEVs), by combining several energy resources, are considered as a crucial solution to decrease fossil fuel consumption and improve the environmental challenges. The existence of an alternative energy resource and the internal combustion engine together provides optimal power distribution among them to maximise power usage and minimise fuel consumption. Energy management strategy (EMS) is an essential challenge in HEV's design procedure to deal with the power distribution in multiple power source systems to improve the performance of the HEVs. A review of various EMSs for HEVs, followed by an analysis of each type, including its benefits and drawbacks, is presented by the authors. In addition to this, the major challenges in EMSs for HEVs are described and a comprehensive review is presented for strategies addressing these issues.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136314866","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 : 2023-09-08DOI: 10.1049/stg2.12131
Jialong Qu, Kerui Li, Shuo Yan
{"title":"Model predictive direct torque control of a three-phase four-switch inverter induction motor driving system","authors":"Jialong Qu, Kerui Li, Shuo Yan","doi":"10.1049/stg2.12131","DOIUrl":"10.1049/stg2.12131","url":null,"abstract":"<p>With the development of power electronics and motor driving system, AC motor speed control or the servo system has been widely explored. Among them, the Induction Motor (IM) driving based on a three-phase six-switch inverter has become a mature technology for a wide range of applications. However, in some scenarios, a certain fault-tolerant ability and further cost savings are required. Under this circumstance, the motor driving system based on the three-phase four-switch inverter is proposed. However, it has fewer voltage vectors, with unequal amplitudes, spatial asymmetry, and no zero vector, which will inevitably lead to the deterioration of the control performance. In this study, the operation of the four-switch inverter IM driving is analysed in detail. The model predictive direct torque control (MPDTC) is proposed to obtain better static and dynamic characteristics. Through the simulation and experimental studies, the control algorithm is verified to drive a 2.2 kW IM. Compared with the conventional DTC, the proposed MPDTC has a rapid dynamic response and greatly reduces the torque and flux ripple in a steady state.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12131","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136361786","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 : 2023-09-07DOI: 10.1049/stg2.12125
Majid Majidi, Masood Parvania, Raymond Byrne
{"title":"Risk-based stochastic scheduling of centralised and distributed energy storage systems","authors":"Majid Majidi, Masood Parvania, Raymond Byrne","doi":"10.1049/stg2.12125","DOIUrl":"10.1049/stg2.12125","url":null,"abstract":"<p>The authors propose a continuous-time two-stage stochastic optimisation model for the integration of centralised and distributed energy storage (ES) systems into power systems with high levels of volatile renewable generation. In the proposed model, centralised and distributed ES systems, respectively, controlled by the independent system operator and distribution system operator, can offer energy and flexibility to the operation of the power system in order to help accommodate the uncertainties of renewable generation and load. The proposed model considers the power network constraints and minimises the day-ahead and real-time operation costs of the system in the first and second stages. The proposed model utilises energy and ramping flexibility trajectories of ES systems to enhance the cost-effective operation of the power system, countering the financial risks imposed by the integration of uncertain load and renewable generation. Simulations are conducted on the IEEE 24-bus reliability test system with multiple risk-aversion levels for the power system operator, and the results demonstrate the efficiency of the proposed model in utilising the ES systems to provide energy and ramping flexibility and reducing the financial risks measured by the conditional value at risk.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12125","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44169642","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 : 2023-08-22DOI: 10.1049/stg2.12130
Ali Amirparast, S. Kamal Hosseini Sani
{"title":"A robust optimal distributed control design for simultaneous voltage regulation and current sharing in DC microgrid","authors":"Ali Amirparast, S. Kamal Hosseini Sani","doi":"10.1049/stg2.12130","DOIUrl":"10.1049/stg2.12130","url":null,"abstract":"<p>In this article, a robust optimal distributed controller is designed for achieving average voltage regulation and current sharing in a DC microgrid. Each distributed generation unit (DGU) consists of a DC-DC buck converter that supplies a local constant current load. The proposed controller only utilises output currents of converters and the possible maximum error values in estimation of series resistance in the RLC filter used in each DGU. The proposed controller is formed such that the possible estimation error is considered as an uncertain parameter. In addition to obtaining two main objectives, average voltage regulation, and current sharing, a robust control problem is solved through an optimal control technique to calculate controller parameters such that the stability of the grid is guaranteed. The stability of the closed loop system with parametric uncertainty is proved through Lyapunov analysis. The closed loop system with the suggested controller is tested by simulations and through different scenarios to reveal the reliable and satisfactory performance of the proposed robust optimal control structure.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12130","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43492961","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 : 2023-08-21DOI: 10.1049/stg2.12126
Almero de Villiers, Julie Byrne, Paul Cuffe
{"title":"A diversified portfolio of tokenised revenue streams can provide hedging opportunities for renewable electricity generators","authors":"Almero de Villiers, Julie Byrne, Paul Cuffe","doi":"10.1049/stg2.12126","DOIUrl":"10.1049/stg2.12126","url":null,"abstract":"<p>The revenue streams of renewable energy generators are subject to both price and volumetric risks, owing to the variable nature of weather patterns. This negatively impacts viability of the generation projects. Blockchain-based decentralised finance methods may present new means for generators to hedge against such volatility. Tokenised revenue streams (RevToks) as a novel tool for electrical generators is proposed. By holding a RevTok, a participant can directly claim a portion of that generator's revenue. To articulate how such exotic financial arrangements may benefit renewable generators, a case study market simulation is performed. Generators can trade RevToks to diversify their cash flows, decreasing their variance and thus overall risk exposure. The simulation uses Multiportfolio Theory — an extension of Modern Portfolio Theory — to optimise the RevTok holdings of all generators simultaneously. Examining the results show that RevTok trades occur between generators of varying technology and remuneration schema. By trading RevToks amongst themselves, all generators achieve far less volatile revenue streams, while maintaining constant expected revenues. Thus, the RevTok paradigm potentially offers improved revenue hedging when compared to established methods for energy firms. Results show that implementing such a blockchain-based arrangement for existing central pool operators unlocks downstream opportunities for renewable generators.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12126","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48567781","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":"Novel Modal Resonance Proximity Region between photovoltaic and multi-machine subsystems under inertia and damping variations","authors":"Xiaojun Li, Jifeng Liang, Jiong Ding, Guoyan Wang, Tengkai Yu, Rui Zhang","doi":"10.1049/stg2.12128","DOIUrl":"10.1049/stg2.12128","url":null,"abstract":"<p>A Modal Resonance Proximity Region (MRPR) is proposed is to analyse dynamic interactions between photovoltaic (PV) converters and synchronous generators in a multi-machine system. The MRPR, delimited by the intersection of open-loop modes' possible positions from two subsystems, indicates that two open-loop modes would encounter each other in this region and modal resonances occur. Also, an indicator is utilised to assess the strength of such dynamic interaction. On top of MRPR and indicator, PV control parameters are optimised to avoid the possibly occurring modal resonances. As shown in time-domain simulation, the proposed MRPR can precisely capture the occurring region for potential modal resonances and such potential modal resonances can be significantly mitigated by the MRPR and indicator-based PV control parameter optimisation.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42439890","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 : 2023-08-18DOI: 10.1049/stg2.12109
Vinayak Sharma, Tao Hong, Valentina Cecchi, Alex Hofmann, Ji Yoon Lee
{"title":"Forecasting weather-related power outages using weighted logistic regression","authors":"Vinayak Sharma, Tao Hong, Valentina Cecchi, Alex Hofmann, Ji Yoon Lee","doi":"10.1049/stg2.12109","DOIUrl":"10.1049/stg2.12109","url":null,"abstract":"<p>Weather is a key driving factor of power outages. In this article, a methodology to forecast weather-related power distribution outages one day-ahead on an hourly basis is presented. A solution to address the data imbalance issue is proposed, where only a small portion of the data represents the hours impacted by outages, in the form of a weighted logistic regression model. Data imbalance is a key modelling challenge for small and rural electric utilities. The weights for outage and non-outage hours are determined by the reciprocals of their corresponding number of hours. To demonstrate the effectiveness of the proposed model, two case studies using data from a small electric utility company in the United States are presented. One case study analyses the weather-related outages aggregated up to the city level. The other case study is based on the distribution substation level, which has rarely been tackled in the outage prediction literature. Compared with two variants of ordinary logistic regression with equal weights, the proposed model shows superior performance in terms of geometric mean.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47855223","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 : 2023-08-15DOI: 10.1049/stg2.12129
Jialong Li, Junliang Liu, Xiong Du, Ze Wei, Lijuan Fan, Hongxin Li, Zhuo Cheng
{"title":"Oscillation suppression strategy for modular multi-level converter grid-connected system based on virtual damping in modulation link","authors":"Jialong Li, Junliang Liu, Xiong Du, Ze Wei, Lijuan Fan, Hongxin Li, Zhuo Cheng","doi":"10.1049/stg2.12129","DOIUrl":"10.1049/stg2.12129","url":null,"abstract":"<p>Modular multilevel converters (MMC) are widely used in power systems. However, relevant studies and reports show that MMC connected with the grid may cause oscillation problems. When the bridge arm resistance is large enough, the operating conditions will be stable because of overdamping in the system. According to this idea, a virtual damping strategy is proposed, which is equivalent to increasing the resistance of the bridge arm without any actual power loss. Meanwhile, from the perspective of the impedance-based analysis method, it is explained that this virtual damping control strategy can improve the stability margin of the system to realize the suppression of oscillation. In order to verify the effectiveness of the control method, the MMC simulation model is established under Matlab/Simulink. The simulation results show that the proposed virtual damping control can effectively suppress the MMC oscillation problem.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41409936","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 : 2023-08-07DOI: 10.1049/stg2.12124
Jie Yu, Jianqiang Hu, Cheng Li, Qingjie Zhang, Chuan Liu, Shidong Liu
{"title":"Distributed demand response charging control of multiple plug-in electric vehicle clusters","authors":"Jie Yu, Jianqiang Hu, Cheng Li, Qingjie Zhang, Chuan Liu, Shidong Liu","doi":"10.1049/stg2.12124","DOIUrl":"10.1049/stg2.12124","url":null,"abstract":"<p>This paper is devoted to the distributed demand response (DR) charging control of plug-in electric vehicles (PEVs) for frequency regulation in power systems in terms of load following service. Specifically, PEVs are divided into different clusters according to their parking place under different energy management systems. Each EV cluster is modelled by a transport-based load aggregate model with the input being the charging rate, and the output is the aggregate power. Based on the aggregate charging control model, a novel dynamic real-time distributed pinning control algorithm is proposed to coordinate the charging rates such that the aggregate charging power of PEVs can follow a given reference power trajectory. The theoretical analysis shows that if the reference power profile is in the trackable area of all PEVs' charging power and the ramping rate is restrained by a predefined bounded constraint, then the demand response charging tracking control is solvable. Finally, simulation results on an EV system with twelve PEV clusters are presented to show the effectiveness of the proposed demand response control algorithm.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42304497","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}