IET Smart Grid最新文献_第7页

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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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

Generation of synthetic multi-resolution time series load data 合成多分辨率时间序列负荷数据的生成

IF 2.3

IET Smart Grid Pub Date : 2023-06-29 DOI: 10.1049/stg2.12116

Andrea Pinceti, Lalitha Sankar, Oliver Kosut

引用次数: 2

Overview of frequency control techniques in power systems with high inverter-based resources: Challenges and mitigation measures 高逆变器资源电力系统中的频率控制技术综述：挑战和缓解措施

IF 2.3

IET Smart Grid Pub Date : 2023-06-18 DOI: 10.1049/stg2.12117

Dlzar Al Kez, Aoife M. Foley, Faraedoon Ahmed, D. John Morrow

{"title":"Overview of frequency control techniques in power systems with high inverter-based resources: Challenges and mitigation measures","authors":"Dlzar Al Kez, Aoife M. Foley, Faraedoon Ahmed, D. John Morrow","doi":"10.1049/stg2.12117","DOIUrl":"https://doi.org/10.1049/stg2.12117","url":null,"abstract":"Power systems are rapidly transitioning towards having an increasing proportion of electricity from inverter-based resources (IBR) such as wind and solar. An inevitable consequence of a power system transition towards 100% IBR is the loss of synchronous generators with their associated inertia, frequency, and voltage control mechanisms. To ensure future grid needs can be met, the source of system services to meet these needs must change from synchronous plants to IBR. Under this context, the main objective is to extensively review grid frequency stability challenges concerning the massive integration of IBR from the perspective of system operators. Following that, the newly established international fast frequency response services in different renewable dominant power systems to address low inertia challenges are compared from various perspectives. Finally, potential solutions based on various renewable enabling technologies and renewable sources are investigated from the standpoint of their expectation to play an active role in the energy system and to provide a wide range of system frequency services. The findings of this study provide a deep understanding of prospective frequency control solutions and an actionable dataset that will support various research and policy needs as we approach net-zero targets.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50136943","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

Deep reinforcement learning based state of charge estimation and management of electric vehicle batteries 基于深度强化学习的电动汽车电池充电状态估计与管理

IF 2.3

IET Smart Grid Pub Date : 2023-06-16 DOI: 10.1049/stg2.12110

Irum Saba, Muhammad Tariq, Mukhtar Ullah, H. Vincent Poor

{"title":"Deep reinforcement learning based state of charge estimation and management of electric vehicle batteries","authors":"Irum Saba, Muhammad Tariq, Mukhtar Ullah, H. Vincent Poor","doi":"10.1049/stg2.12110","DOIUrl":"10.1049/stg2.12110","url":null,"abstract":"In vehicle-to-grid (V2G) networks, electric vehicle (EV) batteries have significant potential as storage elements to smooth out variations produced by renewable and alternative energy sources and to address peak demand catering to smart grids. State estimation and management are crucial for assessing the performance of EV batteries. Existing approaches to these tasks typically do not include the effect of various parameters like route type, environmental conditions, current, and torque to estimate the state of charge (SoC) of EV batteries. In experiments, it is observed that the overall driving cost is affected by these parameters. A new method based on deep reinforcement learning is proposed to estimate and manage the SoC of nickel-metal hybrid batteries, with an emphasis on the realisation of the parameters that affect a battery's health. The proposed deep deterministic policy gradient-based SoC estimation and management for EV batteries, under the effect of battery parameters, are compared with the existing state-of-the-art models to validate their usefulness in terms of overall battery life, thermal safety, and performance. The proposed method demonstrates an accuracy of up to 98.8% in SoC estimation and overall driving cost with less convergence time as compared to the state-of-the-art models for EV batteries.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12110","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42398847","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

Effects of heat pump scheduling on low-voltage grids using a receding horizon control strategy 采用后退水平控制策略的热泵调度对低压电网的影响

IF 2.3

IET Smart Grid Pub Date : 2023-06-12 DOI: 10.1049/stg2.12113

Michael Haendel, Gabriela Hug, Marian Klobasa

{"title":"Effects of heat pump scheduling on low-voltage grids using a receding horizon control strategy","authors":"Michael Haendel, Gabriela Hug, Marian Klobasa","doi":"10.1049/stg2.12113","DOIUrl":"10.1049/stg2.12113","url":null,"abstract":"Heat pumps (HPs) are a promising option for decarbonizing the residential heating sector. Their use leads to an increased demand for electricity, which can burden the grid in uncontrolled operation, while controlled HPs can provide additional flexibility to the system. In this paper, the integration of HPs through a receding horizon approach into a power market model is presented to study the behavior of HPs considering electricity market prices and network constraints of a low-voltage grid. In a case study with centralized and self-consumption optimized control strategies, the effects of HPs are analyzed. Furthermore, the authors investigate how the aggregation of several households into energy communities affects the system. The results show that for the considered grid, the additional power demand of HPs is usually uncritical and a strictly cost-minimizing operation is often possible from a grid perspective. Typically, critical grid situations occur only at times of high PV feed-in with low HP flexibility. The formation of energy communities compared to individual households differs primarily in the allocation of cost savings to individual consumers. The difference in the impact of the two control strategies on the grid is negligible in this case.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12113","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44318823","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