IET Smart Grid最新文献_第4页

Integration of solar technology into the electric railway system in dense urban regions

IF 2.4

IET Smart Grid Pub Date : 2024-09-17 DOI: 10.1049/stg2.12188

Ahmed Mohamed, Rohama Ahmad, Bonny Xavier

引用次数: 0

Probabilistic coupled EV-PV hosting capacity analysis in LV networks with spatio-temporal modelling and copula theory

IF 2.4

IET Smart Grid Pub Date : 2024-09-10 DOI: 10.1049/stg2.12189

Chathuranga D. W. Wanninayaka Mudiyanselage, Kazi N. Hasan, Arash Vahidnia, Mir Toufikur Rahman

{"title":"Probabilistic coupled EV-PV hosting capacity analysis in LV networks with spatio-temporal modelling and copula theory","authors":"Chathuranga D. W. Wanninayaka Mudiyanselage, Kazi N. Hasan, Arash Vahidnia, Mir Toufikur Rahman","doi":"10.1049/stg2.12189","DOIUrl":"https://doi.org/10.1049/stg2.12189","url":null,"abstract":"The authors present an innovative approach for probabilistic coupled electric vehicle (EV) and solar photovoltaics (PV) hosting capacity analysis in low-voltage (LV) distribution networks. The challenges posed by system uncertainties and correlations between different parameters, such as PV generation and EV charging demand, are addressed using probabilistic modelling. To appropriately incorporate the geographical distribution and time-variant patterns of EV charging demand, a comprehensive spatio-temporal (ST) model is developed to capture the trip distance, EV arrival, and charging time. The correlation between the PV generation and EV charging demand is effectively captured by copula theory. The proposed models have been validated using actual EV charging and PV generation data from 36 Australian EV users over 1 year. Power flow simulation with actual data and modelled data have identified EV-only and coupled EV-PV hosting capacities in an Australian LV test network. The coupled EV-PV model presents a higher level of accuracy, having an average mean absolute percentage error (MAPE) of 5.97% compared to independent EV profiles having a MAPE of 10.12%. A voltage profile analysis with the EV and PV profiles also validates the same trend, having MAPE of 1.5% and 1.95%, respectively, for coupled EV-PV and independent EV profiles.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"917-928"},"PeriodicalIF":2.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252334","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

Enhancing microgrid performance: Optimal proactive reactive power dispatch using photovoltaic active power forecasts

IF 2.4

IET Smart Grid Pub Date : 2024-08-26 DOI: 10.1049/stg2.12186

Alexander Casilimas-Peña, Karol Rosen, César Angeles-Camacho

{"title":"Enhancing microgrid performance: Optimal proactive reactive power dispatch using photovoltaic active power forecasts","authors":"Alexander Casilimas-Peña, Karol Rosen, César Angeles-Camacho","doi":"10.1049/stg2.12186","DOIUrl":"https://doi.org/10.1049/stg2.12186","url":null,"abstract":"Microgrids with substantial incorporation of distributed renewable energy sources face challenges such as magnitude voltage rise, frequency variations, and power quality issues. A novel method is proposed to managing and controlling reactive power within microgrids with high integration of photovoltaic panels. The proactive dispatch is carried out for a few minutes in advance, using power forecast and the inverters of the photovoltaic installations as reactive energy providers. The goal is to stabilise voltage levels and reduce overall energy losses. Optimising reactive power poses a non-convex problem. The presented method tackles this challenge by employing Conic approximations and Wirtinger calculus techniques to convert and frame the issue within a convex framework, simplifying its resolution. It primarily concentrates on fine-tuning reactive power output from photovoltaic inverters to minimise overall losses and maintain stable magnitude voltage levels. To enable the reactive power dispatch, a Markov switching forecasting model that uses on-site data, including sky imagery and other external variables, predicting active power generation every 6 minutes. The proposed technique is evaluated in a CIGRE test network, showing an average loss reduction between 14% and 66% for sunny and cloudy conditions with different levels of PV penetration, this while maintaining the steady state voltages in range.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"891-903"},"PeriodicalIF":2.4,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253266","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

Dynamic optimisation of virtual synchronous generator to enhance stability of power system

IF 2.4

IET Smart Grid Pub Date : 2024-08-13 DOI: 10.1049/stg2.12183

Kenta Koiwa, Akira Tomabechi, Tadanao Zanma, Kang-Zhi Liu

引用次数: 0

Charting the UK's path to net zero emissions by 2050: Challenges, strategies, and future directions

IF 2.4

IET Smart Grid Pub Date : 2024-08-08 DOI: 10.1049/stg2.12185

Sulman Shahzad, Muhammad Faheem, Hafiz Abdul Muqeet, Muhammad Waseem

{"title":"Charting the UK's path to net zero emissions by 2050: Challenges, strategies, and future directions","authors":"Sulman Shahzad, Muhammad Faheem, Hafiz Abdul Muqeet, Muhammad Waseem","doi":"10.1049/stg2.12185","DOIUrl":"https://doi.org/10.1049/stg2.12185","url":null,"abstract":"The authors explore the various obstacles and possible approaches that the UK may take to fulfil its goal of having net-zero greenhouse gas emissions by 2050. The paper thoroughly examines several aspects of this project, such as the modernisation of infrastructure, the energy transition, the economic effects, the obstacles to research and development, changes in behaviour, and the frameworks for policy and regulation. With a 44% decrease from 1990 levels by 2021, it showcases the UK's noteworthy achievement in lowering emissions and its ambitious initiatives, such as the £12 billion Ten Point Plan, to accelerate this development. The difficulties of switching from reliance on fossil fuels to renewable energy sources, their implications for the economy, and the necessity of green technology innovation are all covered in the article. It also discusses the behavioural sides of this shift, highlighting the need to change one's lifestyle and engage the public. To address these issues, the importance of international cooperation and policymaking is emphasised. Insights into potential remedies are provided by the article, which includes energy efficiency initiatives, investments in renewable energy, assistance for clean technology R&D, green funding options, public awareness campaigns, international cooperation, and regulatory frameworks. Every one of these alternatives is examined for possible effects and obstacles. The article concludes that reaching net zero in the UK is a complex but necessary objective that calls for a concerted strategy that strikes a balance between social and economic concerns and environmental sustainability.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"716-736"},"PeriodicalIF":2.4,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143249194","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

Demand response potential evaluation based on feature fusion with expert knowledge and multi-image

IF 2.4

IET Smart Grid Pub Date : 2024-08-02 DOI: 10.1049/stg2.12182

Jiale Liu, Xinlei Cai, Zijie Meng, Xin Jin, Zhangying Cheng, Tingzhe Pan

{"title":"Demand response potential evaluation based on feature fusion with expert knowledge and multi-image","authors":"Jiale Liu, Xinlei Cai, Zijie Meng, Xin Jin, Zhangying Cheng, Tingzhe Pan","doi":"10.1049/stg2.12182","DOIUrl":"https://doi.org/10.1049/stg2.12182","url":null,"abstract":"Potential evaluation to assist demand response decisions has garnered significant attention with the development of new power systems. However, existing data-driven methods are challenging to properly exploit multivariate features and the process of response potential evaluation is unclear. Therefore, the authors propose an evaluation method that fuses expert features with multi-image inputs and analyses the model evaluation process based on gradient. First, typical load profiles are extracted by the proposed procedure. Next, features derived from expert knowledge are calculated from the perspectives of adjustability, regularity, and sensitivity of electricity usage. Additionally, the typical load profile's recurrence plot, Markov leapfrog field, and Gramian angle field are created and incorporated into the colourful image as inputs. Then, the evaluation results are obtained by a two-stream neural network fusing multivariate features. In the experiments, the proposed method is validated and discussed by comparing with many existing methods using London household users' data under the time-of-use price, providing new insights for demand response potential evaluation.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"843-857"},"PeriodicalIF":2.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12182","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248149","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

Application of a three-phase unified power quality conditioner in a microgrid

IF 2.4

IET Smart Grid Pub Date : 2024-08-01 DOI: 10.1049/stg2.12184

Tsung-Hsun Wu, Shu-Syuan Huang, Pei-Yin Chen

{"title":"Application of a three-phase unified power quality conditioner in a microgrid","authors":"Tsung-Hsun Wu, Shu-Syuan Huang, Pei-Yin Chen","doi":"10.1049/stg2.12184","DOIUrl":"https://doi.org/10.1049/stg2.12184","url":null,"abstract":"In power distribution systems, common issues such as voltage fluctuations, voltage instability, current harmonics, and power imbalances often arise, negatively impacting the stability and power quality (PQ) of the power system. As an advanced power electronics device, the unified power quality conditioner (UPQC) can effectively address these problems. Therefore, the integration of UPQC into power distribution lines can enhance the stability and reliability of the power system, providing higher-quality power supply to meet the needs of both users and suppliers for PQ. The authors utilise the TI TMS320F28377D chip as the control core to construct a simple yet highly efficient UPQC system. Through simulation, the correctness of the voltage and current compensation algorithms has been verified, and the overall system feasibility has been validated using a 100-kVA series-shunt inverter. The experimental results show that the voltage compensation range of the UPQC is 380V ± 10%. During sudden current drops, the imbalance rate can be reduced from 85.5% to 1.32% after controlled compensation. During sudden current rises, the imbalance rate can be reduced from 13.1% to 1.56% after controlled compensation. These findings demonstrate the effectiveness of the UPQC system in improving PQ and system stability in power distribution networks.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"872-890"},"PeriodicalIF":2.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143243211","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

Short-term load forecasting facilitated by edge data centres: A coordinated edge-cloud approach

IF 2.4

IET Smart Grid Pub Date : 2024-07-31 DOI: 10.1049/stg2.12181

Junlong Li, Lurui Fang, Xiangyu Wei, Mengqiu Fang, Yue Xiang, Peipei You, Chao Zhang, Chenghong Gu

{"title":"Short-term load forecasting facilitated by edge data centres: A coordinated edge-cloud approach","authors":"Junlong Li, Lurui Fang, Xiangyu Wei, Mengqiu Fang, Yue Xiang, Peipei You, Chao Zhang, Chenghong Gu","doi":"10.1049/stg2.12181","DOIUrl":"https://doi.org/10.1049/stg2.12181","url":null,"abstract":"Compared to load forecasting at the national level, two challenges arise in providing accurate forecasting for LV and MV networks: (1) customers within LV and MV networks are much less, implying greater volatility within those load profiles; (2) not all customers have smart metres. Particularly, the two challenges would exacerbate forecasting performance under unexpected events, such as extreme weather and COVID-19 outbreaks. To secure accurate short-term load forecasting for LV and MV networks, this paper customised a Spatio-Temporal Edge-Cloud-coordinated (STEC) approach on a loop training structure—LV networks to MV networks to LV networks. For each LV network, this approach utilises XGboost to learn the relationship between weather data, substation-side loads, and a few accessible customer-side load data to deliver rough forecasting. Then, it adopts the rough forecasting results and accessible data for all LV networks within an MV network to train the convolutional neural networks and gated recurrent unit (CNN-GRU) network. This step provides load forecasting for MV networks and simultaneously refines load forecasting for LV networks by generating the interacting relationship between LV substations of different locations. Case studies reveal that the STEC approach successfully extrapolates the demand-varying information from long-term datasets and improves short-term forecasting performance under both normal scenarios and newly occurring unexpected scenarios for LV and MV networks. The loop training structure halves the forecasting error, compared to classic methodology by utilising the local data only for MV networks.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"829-842"},"PeriodicalIF":2.4,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253794","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

Multi-objective interval planning for 5G base station virtual power plants considering the consumption of photovoltaic and communication flexibility 考虑光伏消耗和通信灵活性的 5G 基站虚拟电站多目标区间规划

IF 2.4

IET Smart Grid Pub Date : 2024-07-23 DOI: 10.1049/stg2.12178

Dawei Zhang, Xudong Cui, Changbao Xu, Shigao Lv, Lianhe Zhao

{"title":"Multi-objective interval planning for 5G base station virtual power plants considering the consumption of photovoltaic and communication flexibility","authors":"Dawei Zhang, Xudong Cui, Changbao Xu, Shigao Lv, Lianhe Zhao","doi":"10.1049/stg2.12178","DOIUrl":"10.1049/stg2.12178","url":null,"abstract":"Large-scale deployment of 5G base stations has brought severe challenges to the economic operation of the distribution network, furthermore, as a new type of adjustable load, its operational flexibility has provided a potential way to promote the consumption and utilization of photovoltaic. In this paper, a multi-objective interval collaborative planning method for virtual power plants and distribution networks is proposed. First, on the basis of in-depth analysis of the operating characteristics and communication load transmission characteristics of the base station, a 5G base station of virtual power plants participating in the cellular respiratory demand response model is constructed. In view of the inherent contradiction between system economy and environmental performance, a multi-objective interval optimization model for collaborative planning of virtual power plants and distribution networks is established with the lowest system investment and operating costs and the lowest carbon emissions as the optimization goals. The established model is transformed into a deterministic optimization problem, which is solved by NSGA-II algorithm. The modified IEEE-33 node system is used in the case analysis to analyse the impact of different planning schemes and response characteristics on the system economy. The calculation results verify the effectiveness of the proposed method.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"800-811"},"PeriodicalIF":2.4,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12178","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813219","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

Probabilistic assessment of short-term voltage stability under load and wind uncertainty 负载和风力不确定情况下短期电压稳定性的概率评估

IF 2.4

IET Smart Grid Pub Date : 2024-07-15 DOI: 10.1049/stg2.12180

Mohammed Alzubaidi, Kazi N. Hasan, Lasantha Meegahapola, Mir Toufikur Rahman

{"title":"Probabilistic assessment of short-term voltage stability under load and wind uncertainty","authors":"Mohammed Alzubaidi, Kazi N. Hasan, Lasantha Meegahapola, Mir Toufikur Rahman","doi":"10.1049/stg2.12180","DOIUrl":"10.1049/stg2.12180","url":null,"abstract":"Contemporary electricity networks are exposed to operational uncertainties, which may jeopardise the stability of the power grid. More specifically, the increasing penetration level of variable renewable energy generation and uncertainty in load demand are key catalysts for these emerging stability issues. A mathematical relationship is established to track the system voltage trajectory with respect to variations in uncertain inputs (associated with wind speed, system load, and wind power penetration levels). Additionally, it demonstrates the consequences of varying uncertain inputs on the short-term voltage response across different potential operating conditions. The theoretical proposition has further been verified by the simulation studies with two test power networks in DIgSILENT PowerFactory software. The simulation results revealed that uncertain injection sources significantly impacted the system voltage at the receiving end. High uncertainty in wind speed and system loads increased voltage recovery variation, causing delays in voltage response during low wind speeds and high system loads. Additionally, increased wind power penetration levels expanded voltage recovery uncertainties, resulting in decreased system voltage and potentially leading to voltage violations and instability at 30% wind power levels. Moreover, the results showed that the system's response time increased, and in some cases, it collapsed due to increased system capacity (>80%) and dynamic load (>75%), as well as encountering a large disturbance under uncertain circumstances.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"812-828"},"PeriodicalIF":2.4,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12180","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141647146","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