IET Smart Grid最新文献_第10页

Novel Modal Resonance Proximity Region between photovoltaic and multi-machine subsystems under inertia and damping variations 惯性和阻尼变化下光伏和多机子系统之间的新型模态共振邻近区

IF 2.3

IET Smart Grid Pub Date : 2023-08-18 DOI: 10.1049/stg2.12128

Xiaojun Li, Jifeng Liang, Jiong Ding, Guoyan Wang, Tengkai Yu, Rui Zhang

引用次数: 0

Forecasting weather-related power outages using weighted logistic regression 使用加权逻辑回归预测与天气相关的停电

IF 2.3

IET Smart Grid Pub Date : 2023-08-18 DOI: 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":"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.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"6 5","pages":"470-479"},"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}

引用次数: 2

Oscillation suppression strategy for modular multi-level converter grid-connected system based on virtual damping in modulation link 基于调制环节虚拟阻尼的模块化多级变流器并网系统振荡抑制策略

IF 2.3

IET Smart Grid Pub Date : 2023-08-15 DOI: 10.1049/stg2.12129

Jialong Li, Junliang Liu, Xiong Du, Ze Wei, Lijuan Fan, Hongxin Li, Zhuo Cheng

引用次数: 0

Distributed demand response charging control of multiple plug-in electric vehicle clusters 多插电式电动汽车集群分布式需求响应充电控制

IF 2.3

IET Smart Grid Pub Date : 2023-08-07 DOI: 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":"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.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"6 6","pages":"609-621"},"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}

引用次数: 0

Impact of electric vehicles on low-voltage residential distribution networks: A probabilistic analysis 电动汽车对低压住宅配电网的影响：概率分析

IF 2.3

IET Smart Grid Pub Date : 2023-08-07 DOI: 10.1049/stg2.12123

Matthias Hungbo, Mingchen Gu, Lasantha Meegahapola, Timothy Littler, Siqi Bu

{"title":"Impact of electric vehicles on low-voltage residential distribution networks: A probabilistic analysis","authors":"Matthias Hungbo, Mingchen Gu, Lasantha Meegahapola, Timothy Littler, Siqi Bu","doi":"10.1049/stg2.12123","DOIUrl":"10.1049/stg2.12123","url":null,"abstract":"The past two decades have seen a rapid increase in electric vehicles (EVs) for several reasons, such as policy directives to reduce carbon emissions in the transport sector and technology advancements in the EV industry. However, this has increased the load demand on the power grid, especially in the low-voltage (LV) network, as most EVs are charged at EV owner premises. This paper investigates the impact of EVs on the LV residential distribution network using a probabilistic modelling framework. Probability distribution functions for EV charging power are derived using the United Kingdom (UK) EV dataset. The study has investigated multiple EV penetration levels, different probability distribution functions for EV charging representation, vehicle-to-grid (V2G), solar photovoltaic (PV) generation, and the volt-var capability of the solar-PV inverter. The results have shown that as EV penetration increases in the distribution network, there is a significant increase in transformer loading and a decrease in the steady-state voltage levels. V2G has positively impacted the distribution network. A case study carried out on a real LV feeder with solar-PV generation has shown how PV generation and volt-var functionality of the PV inverter help reduce the impact of EV charging and V2G.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"6 5","pages":"536-548"},"PeriodicalIF":2.3,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12123","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43094602","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

Distributed predictive control design to achieve economically optimal power flow for DC microgrid clusters 实现直流微电网群经济最优潮流的分布式预测控制设计

IF 2.3

IET Smart Grid Pub Date : 2023-07-27 DOI: 10.1049/stg2.12122

Sucheng Liu, Jin Ma, Taohu Zhou, Qianjin Zhang, Wei Fang, Xiaodong Liu

{"title":"Distributed predictive control design to achieve economically optimal power flow for DC microgrid clusters","authors":"Sucheng Liu, Jin Ma, Taohu Zhou, Qianjin Zhang, Wei Fang, Xiaodong Liu","doi":"10.1049/stg2.12122","DOIUrl":"10.1049/stg2.12122","url":null,"abstract":"DC microgrid clusters are a collection of interconnected microgrids that allow for flexible power flow, leading to economic benefits and improved resilience from distributed generation. However, managing power flow among interconnected microgrids with different components such as photovoltaic, wind turbine, and battery energy storage systems, as well as various dynamic operation scenarios, presents a significant challenge for proportional-integral (PI)-based controllers. To address this challenge, this paper proposes a distributed predictive control design in the hierarchical control paradigm that aims to achieve economically optimal power flow (EOPF) for DC microgrid clusters. The predictive controller considers multiple objectives optimisation, including generation cost models, converter losses, and transmission losses over both local lines and tie-lines, and design and implementation of the two-layer tertiary control for the EOPF of DCMGCs are presented. Hardware-in-the loop (HIL) experimental results demonstrate the effectiveness of the controller design.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"6 5","pages":"522-535"},"PeriodicalIF":2.3,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41378901","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

CO2 emission coupled power generation mix evolution with flexible energy resources 灵活能源下CO2排放耦合发电组合演化

IF 2.3

IET Smart Grid Pub Date : 2023-07-24 DOI: 10.1049/stg2.12121

Lingtao Li, Yue Xiang, Yongtao Guo, Pingliang Zeng, Weiting Xu, Youbo Liu, Junyong Liu

{"title":"CO2 emission coupled power generation mix evolution with flexible energy resources","authors":"Lingtao Li, Yue Xiang, Yongtao Guo, Pingliang Zeng, Weiting Xu, Youbo Liu, Junyong Liu","doi":"10.1049/stg2.12121","DOIUrl":"10.1049/stg2.12121","url":null,"abstract":"Decarbonisation is the key to solving the environmental pollution caused by greenhouse gases, and the development pathways of power systems are the focus of the energy transition process. In the absence of direct energy development data, a CO2 emission model of regional power system based on a collaborative method is proposed. An estimable method of policy coordination is used to consider macro factors based on system dynamics and optimal allocation of high renewable permeable power system with a flexible resource combination is established to consider micro factors based on random production simulation. The development pathways of power systems under different national policy objectives are deduced through system dynamics. In the case study of the decarbonisation evolution pathways, two strategies are proposed to deduce the energy structure with high-penetration renewable energy and flexible resources according to the drive of the CO2 emission target. The optimal development evolution pathways decisions for decarbonisation corresponding to policy targets are simulated and analysed under different scenarios.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 2","pages":"142-156"},"PeriodicalIF":2.3,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12121","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42554111","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

Efficient unmanned aerial vehicle paths design for post-disaster damage assessment of overhead transmission lines 架空输电线路灾后破坏评估的高效无人机路径设计

IF 2.3

IET Smart Grid Pub Date : 2023-07-13 DOI: 10.1049/stg2.12120

Rachad Atat, Mostafa F. Shaaban, Muhammad Ismail, Erchin Serpedin

{"title":"Efficient unmanned aerial vehicle paths design for post-disaster damage assessment of overhead transmission lines","authors":"Rachad Atat, Mostafa F. Shaaban, Muhammad Ismail, Erchin Serpedin","doi":"10.1049/stg2.12120","DOIUrl":"10.1049/stg2.12120","url":null,"abstract":"The widespread distribution of overhead transmission lines increases the vulnerability of power grids to failures. Thus, power lines need to be timely inspected, especially before or during emergency-related situations to ensure stable operation of the power grid. Traditional methods of visual inspection (satellites and helicopters) are inconvenient, often cannot be deployed and if they are deployed present a slow response time and high cost, which is very critical for fast post-disaster damage identification. On the other hand, employing an unmanned aerial vehicle (UAV) offers a more efficient, reliable, and faster means for the assessment process. This article proposes a novel approach for the post-disaster UAV-based damage assessment of overhead power lines. In the proposed approach, the UAVs paths over the most critical loads are formulated as an optimisation problem with the objective of minimising the total inspection time while considering the recharging of the UAVs' batteries. To solve the problem, an efficient framework that optimises the UAVs flight paths is proposed to inspect the critical loads in an efficient order, while accounting for the UAV recharging. This guarantees that the UAVs complete the assessment tasks unlike existing benchmarks.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"6 5","pages":"503-521"},"PeriodicalIF":2.3,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42717669","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

Extreme scenario generation for renewable energies 可再生能源的极端情景发电

IF 2.3

IET Smart Grid Pub Date : 2023-07-10 DOI: 10.1049/stg2.12119

Hongqiao Peng, Yuanyuan Lou, Hui Sun, Zhengmin Zuo, Yuliang Liu, Chenxi Wang

{"title":"Extreme scenario generation for renewable energies","authors":"Hongqiao Peng, Yuanyuan Lou, Hui Sun, Zhengmin Zuo, Yuliang Liu, Chenxi Wang","doi":"10.1049/stg2.12119","DOIUrl":"10.1049/stg2.12119","url":null,"abstract":"With a high penetration of renewable energies, scenario generation for wind and solar power is essential for the operation of modern power systems. Beyond the typical scenarios, extreme scenarios like full-capacity generation for consecutive days should also be taken into account. However, developed data-driven methods are unlikely to capture the characteristics of these extreme scenarios because of limited data. To this end, a three-staged extreme scenario generation method is proposed for renewable energies to effectively and efficiently generate extremely high power output scenarios. First, an extreme data augmentation algorithm is designed to push the original data distribution towards the extreme case. Then, based on the extreme value theory, the tail of the augmented dataset is modelled by Generalised Pareto Distribution (GPD). Last, with the augmented dataset and the conditional labels sampled from the fitted GPD, a conditional generative adversarial network is trained with the modified loss function. A case study on a real-world dataset shows that the authors’ proposed method has superior performance over the state-of-the-art generative models in terms of extreme scenario generation. Besides, the generated samples successfully capture the temporal and spatial correlation of real scenarios of renewable energies.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 2","pages":"130-141"},"PeriodicalIF":2.3,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12119","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46811510","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

Two-stage self-adaption security and low-carbon dispatch strategy of energy storage systems in distribution networks with high proportion of photovoltaics 高比例光伏配电网储能系统的两阶段自适应安全和低碳调度策略

IF 2.3

IET Smart Grid Pub Date : 2023-07-06 DOI: 10.1049/stg2.12118

Lei Chen, Wei Tang, Lu Zhang, Zhaoqi Wang, Jun Liang

{"title":"Two-stage self-adaption security and low-carbon dispatch strategy of energy storage systems in distribution networks with high proportion of photovoltaics","authors":"Lei Chen, Wei Tang, Lu Zhang, Zhaoqi Wang, Jun Liang","doi":"10.1049/stg2.12118","DOIUrl":"10.1049/stg2.12118","url":null,"abstract":"With the goal of achieving carbon neutrality, active distribution networks (DNs) with a high proportion of photovoltaics (PVs) are facing challenges in maintaining voltage stability and low-carbon operation. Energy storage systems (ESSs), which have the ability to store and transfer energy temporarily, can be used as effective measures to enhance the capacity of consuming PVs and reduce carbon emissions in DNs. However, existing low-carbon dispatch strategies for multiple sources, storages and loads fail to consider voltage violations, while the temporal carbon emission intensity of the upper-level power grid is also often overlooked, which is an important factor that affects the dispatch strategy. Therefore, a two-stage self-adaptive dispatch strategy of ESSs that considers the temporal characteristics of slack nodal carbon emission intensity to minimise carbon emissions while maintaining voltage stability in DNs with high access to PVs is proposed. First, the framework of the proposed two-stage self-adaptive dispatch strategy of ESSs is established by taking into account the effects of ESSs on adjusting voltages and reducing carbon emissions, respectively, with the two-stage switch principle of two operation modes being determined. On this basis, an optimization dispatch model is established to improve voltages and carbon emissions, and the optimal day-ahead dispatch strategy of ESSs can be obtained by solving the model using genetic algorithm. Case studies of the modified 10 kV IEEE 33-node DN and IEEE 123-node DN verify the feasibility and superiority of the proposed two-stage self-adaptive security and low-carbon day-ahead dispatch strategy for ESSs, showing that the voltage stabilisation and lower carbon emissions of DNs are both improved.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 3","pages":"251-263"},"PeriodicalIF":2.3,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12118","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48586618","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