IET Smart Grid最新文献_第4页

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

Review on reliability assessment of energy storage systems 储能系统可靠性评估综述

IF 2.4

IET Smart Grid Pub Date : 2024-07-08 DOI: 10.1049/stg2.12179

Xiaohe Yan, Jialiang Li, Pengfei Zhao, Nian Liu, Liangyou Wang, Bo Yue, Yanchao Liu

{"title":"Review on reliability assessment of energy storage systems","authors":"Xiaohe Yan, Jialiang Li, Pengfei Zhao, Nian Liu, Liangyou Wang, Bo Yue, Yanchao Liu","doi":"10.1049/stg2.12179","DOIUrl":"10.1049/stg2.12179","url":null,"abstract":"As renewable energy, characterised by its intermittent nature, increasingly penetrates the conventional power grid, the role of energy storage systems (ESS) in maintaining energy balance becomes paramount. This dynamic necessitates a rigorous reliability assessment of ESS to ensure consistent energy availability and system stability. The authors provide a review of the existing research on ESS reliability assessment, encompassing various methods, models, reliability indicators, and offers an analysis of future research trends in ESS reliability. Firstly, the authors summarise the different types of ESS and their characteristics, analysing the trends in ESS reliability research and the unique characteristics of ESS compared to conventional power systems. Secondly, the methods used for the assessment are reviewed, including Markov methods, generalised generating functions, Monte Carlo simulations etc. The shortcomings and characteristics of these methods are discussed. The key reliability indicators, such as Mean Time Between Failures and Mean Time to Repair are emphasised. The applied role of reliability studies is summarised. Finally, the perspective of new research trends in ESS reliability assessment are identified, especially the integration of artificial intelligence and machine learning, and emphasises their potential to further improve the robustness and effectiveness of ESS reliability.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"695-715"},"PeriodicalIF":2.4,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141668872","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

Backward–forward sweep inverse power flow for distribution line parameters estimation with metering data

IF 2.4

IET Smart Grid Pub Date : 2024-06-20 DOI: 10.1049/stg2.12177

Pedro C. Leal, Pedro M. S. Carvalho

引用次数: 0

Coordinated recovery of interdependent power and water distribution systems 协调恢复相互依存的配电和供水系统

IF 2.4

IET Smart Grid Pub Date : 2024-06-14 DOI: 10.1049/stg2.12175

Luis Rodriguez-Garcia, Mathaios Panteli, Masood Parvania

{"title":"Coordinated recovery of interdependent power and water distribution systems","authors":"Luis Rodriguez-Garcia, Mathaios Panteli, Masood Parvania","doi":"10.1049/stg2.12175","DOIUrl":"10.1049/stg2.12175","url":null,"abstract":"The interdependent nature of power and water distribution systems (WDSs), which magnifies the impact of power outages caused by extreme weather, offers an opportunity to coordinate recovery actions towards enhancing their resilience after a major outage event. The authors develop an approach for the coordinated recovery of interdependent power and WDSs, which enhances the resilience of both infrastructures from an operational standpoint based on the optimised dispatch of existing power and water resources after an extreme weather event. The proposed model allocates the available resources in both power and WDSs—including solar generation, battery energy storage systems, water stored in tanks, and small pumped-storage hydropower—to minimise the energy and water demand curtailment. The proposed model is tested on the interconnection of IEEE 33-bus test power distribution system with a 16-node test WDS. Results for the test system show that, by coordinating the power and water operation during the recovery, the energy curtailment cost reduces by 8.9%, while the water curtailment cost is reduced by 33.5% from adequately allocating energy resources without negatively affecting the demand requirements during the restoration process, when compared to the uncoordinated approach where each infrastructure is operated independently.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"760-775"},"PeriodicalIF":2.4,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12175","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141338569","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

Incentivising peers in local transactive energy markets: A case study for consumers, prosumers and prosumagers 激励当地交易型能源市场中的同行：消费者、消费者和消费者管理者案例研究

IF 2.4

IET Smart Grid Pub Date : 2024-06-14 DOI: 10.1049/stg2.12166

Yaa S. A. Kwateng, Dawei Qiu, Goran Strbac

{"title":"Incentivising peers in local transactive energy markets: A case study for consumers, prosumers and prosumagers","authors":"Yaa S. A. Kwateng, Dawei Qiu, Goran Strbac","doi":"10.1049/stg2.12166","DOIUrl":"10.1049/stg2.12166","url":null,"abstract":"A decarbonised future grid should couple technological novelty with innovative market models to efficiently capture the value of grid-edge decarbonised assets. The transactive energy (TE) concept inverts the centralised grid model by leveraging the evolution of consumers to prosumers to prosumagers. The principal TE market design challenge is transactive control—using market and pricing mechanisms to coordinate autonomous peer interactions, to optimally allocate power and incentivise peers. Peer attraction, incentivisation and retention are all critical for practical TE implementation along three adoption stages, starting from independent peer transactions with the centralised market; to decentralised peer coordination; towards distributed peer-to-peer trading. Addressing gaps in related scholarship, the authors investigate the economic positions of distinct peer roles in each adoption stage and two local pricing strategies. Using a real market dataset, trading decisions are simulated over a 1-year horizon at hourly granularity. Coordinated action achieves better transactive control for the community, with economic superiority over centralised and distributed mechanisms. Distinct peer incentives should equitably align with their contribution to market functionality, such as the value ascribed to prosumagers' flexibility in local pricing and the constrained bargaining power of prosumers in distributed bilateral negotiations.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 5","pages":"672-694"},"PeriodicalIF":2.4,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12166","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341812","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

Intelligent stability monitoring and improvement of grid-connected converter under weighted average control 加权平均控制下并网变流器的智能稳定性监测与改进

IF 2.4

IET Smart Grid Pub Date : 2024-06-11 DOI: 10.1049/stg2.12176

Yuan Qiu, Yanbo Wang, Yanjun Tian, Zhe Chen

引用次数: 0