Iet Generation Transmission & Distribution最新文献_第5页

Comprehensive compensation method for co-phase power supply in electrified railways based on V/v transformer and electromagnetic single-phase var compensator 基于 V/v 变压器和电磁单相变阻补偿器的电气化铁路同相供电综合补偿方法

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-09 DOI: 10.1049/gtd2.13255

Xiangwu Yan, Weilin Wu, Chen Shao, Weifeng Peng

{"title":"Comprehensive compensation method for co-phase power supply in electrified railways based on V/v transformer and electromagnetic single-phase var compensator","authors":"Xiangwu Yan, Weilin Wu, Chen Shao, Weifeng Peng","doi":"10.1049/gtd2.13255","DOIUrl":"https://doi.org/10.1049/gtd2.13255","url":null,"abstract":"To solve the problem of negative-sequence and reactive power in electrified railway, this paper proposes a comprehensive compensation method based on V/v transformer and electromagnetic single-phase var compensator (ESVC) for co-phase power supply. First, based on the principles of static var generator and single-phase rotary phase shifting transformer, the topology and model of ESVC have been established, and the compensation mechanism has been analysed. Second, the topological structure and mathematical model of co-phase power comprehensive compensation device (CPCD) are put forward based on the principles of V/v transformer and ESVC, and the operation mode of CPCD in multiple scenarios is designed. Then the strategy of CPCD with double closed loop control is analysed: corresponding compensation mode is selected according to negative-sequence unbalance degree and expected power factor value. In this strategy, the compensated current output by ESVC is taken as the quantity of external loop control, and the rotation angle of ESVC is taken as the quantity of internal loop control to realize double-closed loop control of CPCD. Finally, the comprehensive CPCD compensation model is built on the simulation platform and validated the accuracy of the mathematical model and the effectiveness of the control strategy.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 20","pages":"3170-3186"},"PeriodicalIF":2.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","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 control and passivity-based stability analysis for time-delayed DC microgrids 针对延时直流微电网的分布式控制和基于被动性的稳定性分析

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-09 DOI: 10.1049/gtd2.13261

Yongpan Chen, Jinghan Zhao, Keting Wan, Miao Yu

{"title":"Distributed control and passivity-based stability analysis for time-delayed DC microgrids","authors":"Yongpan Chen, Jinghan Zhao, Keting Wan, Miao Yu","doi":"10.1049/gtd2.13261","DOIUrl":"https://doi.org/10.1049/gtd2.13261","url":null,"abstract":"For cooperation among distributed generations in a DC microgrid (MG), distributed control is widely applied. However, the delay in distributed communication will result in steady-state bias and the risk of instability. This paper proposes a novel distributed control for time-delayed DC MGs to achieve accurate current proportional sharing and weighted average voltage regulation. Firstly, by utilizing an advanced observer based on the PI consensus algorithm, the steady-state bias problem is addressed. Then, using the passivity theory, stability analysis is conducted to reveal the principle of system instability caused by communication delay. On this basis, to offset the adverse effects of communication delay on the system stability, scattering transformation is introduced in the observer-based distributed control. Moreover, considering the potential delay from the measurement stage in real-life scenarios, the sufficient condition of the system stability is concluded by constructing the Lyapunov–Krasovskii functional. Finally, the performance of the proposed control and conclusions of stability analysis are verified by hardware-in-loop tests.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 20","pages":"3187-3199"},"PeriodicalIF":2.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13261","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconfiguration of active distribution networks as a means to address generation and consumption dynamic variability 重新配置主动配电网络，作为解决发电和用电动态变化的一种手段

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-07 DOI: 10.1049/gtd2.13264

Juan Avilés, Daniel Guillen, Luis Ibarra, Jesús Daniel Dávalos-Soto

{"title":"Reconfiguration of active distribution networks as a means to address generation and consumption dynamic variability","authors":"Juan Avilés, Daniel Guillen, Luis Ibarra, Jesús Daniel Dávalos-Soto","doi":"10.1049/gtd2.13264","DOIUrl":"https://doi.org/10.1049/gtd2.13264","url":null,"abstract":"The integration of alternative energy sources, storage systems, and modern loads into the distribution grid is complicating its operation and maintenance. Variability in individual generation and consumption elements dynamically affects voltage profiles, which in turn undermines efficiency and power quality. This study proposes to address this dynamical variability using an online reconfiguration approach that involves opening and closing switches to modify the grid's topology and adjust voltage levels in response to load/generation variations. Other grid optimization techniques, based on reconfiguration, typically focus on static, fully instrumented grids with predictable parameters and homogeneous changes, aiming to minimize power losses but overlooking the dynamics of variable grid elements. This study proposes a testing approach that is dependent on the estimated transient status of the grid only using a limited number of measurement units and considering the individual-stochastic variations of loads and generators. The proposed approach was tested on the IEEE 33-bus test feeder with up to five varying distributed generators. The results confirm that the algorithm consistently finds a reconfiguration alternative that could enhance system efficiency and voltage profiles, even in the face of dynamic load/generator behavior, demonstrating its effectiveness and online adaptability for grid operation and management tasks.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 19","pages":"3120-3137"},"PeriodicalIF":2.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13264","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A coordinated scheduling optimization method for integrated energy systems with data centres based on deep reinforcement learning 基于深度强化学习的数据中心综合能源系统协调调度优化方法

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-05 DOI: 10.1049/gtd2.13256

Yi Sun, Yiyuan Ding, Minghao Chen, Xudong Zhang, Peng Tao, Wei Guo

{"title":"A coordinated scheduling optimization method for integrated energy systems with data centres based on deep reinforcement learning","authors":"Yi Sun, Yiyuan Ding, Minghao Chen, Xudong Zhang, Peng Tao, Wei Guo","doi":"10.1049/gtd2.13256","DOIUrl":"https://doi.org/10.1049/gtd2.13256","url":null,"abstract":"As an emerging multi-energy consumption subject, data centres (DCs) are bound to become crucial energy users for integrated energy systems (IES). Therefore, how to fully tap the potential of the collaborative operation between DCs and IES to improve total energy efficiency and economic performance is becoming a pressing need. In this article, the authors research an optimization coordinated by the energy scheduling and information service provision within the scenario of an integrated energy system with a data centre (IES-DC). The mathematical model of IES-DC is first established to reveal the energy conversion process of the electricity-heat-gas IES and the DC's energy consumption affected by the scale of active IT equipment. For dynamical providing multi-energy and computing service by coordinating scheduling energy and information equipment, the formulations of IES-DC scheduling, which is described as a Markov decision process (MDP), are presented, and it is solved by introducing the twin-delayed deep deterministic policy gradient (TD3), which is a model-free deep reinforcement learning (DRL) algorithm. Finally, the numerical studies show that compared with benchmarks, the proposed method based on the TD3 algorithm can effectively control the operation of energy conversion equipment and the number of active servers in IES-DC.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 19","pages":"3071-3084"},"PeriodicalIF":2.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13256","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Approximate power flow solutions-based forecasting-aided state estimation for power distribution networks 基于近似功率流解决方案的配电网预测辅助状态估计

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-04 DOI: 10.1049/gtd2.13233

Zhenyu Wang, Zhao Xu, Donglian Qi, Yunfeng Yan, Jianliang Zhang

{"title":"Approximate power flow solutions-based forecasting-aided state estimation for power distribution networks","authors":"Zhenyu Wang, Zhao Xu, Donglian Qi, Yunfeng Yan, Jianliang Zhang","doi":"10.1049/gtd2.13233","DOIUrl":"https://doi.org/10.1049/gtd2.13233","url":null,"abstract":"This paper presents an approximate power flow model-based forecasting-aided state estimation estimator for power distribution networks subject to naive forecasting methods and nonlinear filtering processes. To this end, this estimator designs a voltage perturbation vector around the priori-determined nominal value as the dynamic state variable, which enables more detailed depictions of voltage changes. Then, a state transition model incorporating nodal power variation is derived from the approximate power injection model. The constant state transition matrix working on power variations only consists of nodal impedance, which reduces the extensive parameter tuning effort when facing different estimation tasks. Furthermore, an approximate branch power flow observation equation is proposed to improve the filtering efficiency. The observation matrix with branch admittance information presents the linear filtering relationship between power flow measurements and forecasted states, omitting the complex iterative updates of the Jacobian matrix for nonlinear measurements. Finally, the overall estimated voltage state at each time sample is entirely obtained by combining the filtered voltage perturbation vector with the priori-determined nominal value. Numerical simulation comparisons on a symmetric balanced 56-node distribution system verify the performance of the proposed estimator in terms of accuracy and robustness under normal and abnormal conditions.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 21","pages":"3510-3523"},"PeriodicalIF":2.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Series arc-fault diagnosis using convolutional neural network via generalized S-transform and power spectral density 通过广义 S 变换和功率谱密度使用卷积神经网络进行串联电弧故障诊断

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-02 DOI: 10.1049/gtd2.13193

Penghe Zhang, Yiwei Qin

引用次数: 0

A NoisyNet deep reinforcement learning method for frequency regulation in power systems 用于电力系统频率调节的 NoisyNet 深度强化学习方法

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-02 DOI: 10.1049/gtd2.13250

Boming Zhang, Herbert Iu, Xinan Zhang, Tat Kei Chau

引用次数: 0

Automatic classification of bird species related to power line faults using deep convolution features and ECOC-SVM model 利用深度卷积特征和 ECOC-SVM 模型对与电力线故障有关的鸟类进行自动分类

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-02 DOI: 10.1049/gtd2.13265

Zhibin Qiu, Zhibiao Zhou, Zhoutao Wan

{"title":"Automatic classification of bird species related to power line faults using deep convolution features and ECOC-SVM model","authors":"Zhibin Qiu, Zhibiao Zhou, Zhoutao Wan","doi":"10.1049/gtd2.13265","DOIUrl":"https://doi.org/10.1049/gtd2.13265","url":null,"abstract":"Bird-related outages greatly threaten the safety of overhead transmission and distribution lines, while electrocution and collisions of birds with power lines, especially endangered species, are significant environmental concerns. Automatic bird recognition can be helpful to mitigate this contradiction. This paper proposes a method for automatic classification of bird species related to power line faults combining deep convolution features with error-correcting output codes support vector machine (ECOC-SVM). An image dataset of about 20 high-risk and 20 low-risk bird species was constructed, and the feed-forward denoising convolutional neural network was used for image preprocessing. The deep convolution features of bird images were extracted by DarkNet-53, and taken as inputs of the ECOC-SVM for model training and bird species classification. The gradient-weighted class activation mapping was used for visual explanations of the model decision region. The experimental results indicate that the average accuracy of the proposed method can reach 94.39%, and its performance was better than other models using different feature extraction networks and classification algorithms.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 19","pages":"3138-3149"},"PeriodicalIF":2.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13265","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving the performance of grid-connected inverters during asymmetrical faults and unbalanced grid voltages 提高并网逆变器在非对称故障和不平衡电网电压下的性能

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-09-01 DOI: 10.1049/gtd2.13258

Sepideh Shabani, Mehdi Gholipour, Mehdi Niroomand

{"title":"Improving the performance of grid-connected inverters during asymmetrical faults and unbalanced grid voltages","authors":"Sepideh Shabani, Mehdi Gholipour, Mehdi Niroomand","doi":"10.1049/gtd2.13258","DOIUrl":"https://doi.org/10.1049/gtd2.13258","url":null,"abstract":"The increasing penetration of the distributed energy resources (DER) in the power grid, which, while having significant advantages, also pose significant challenges. The behaviors of DERs differ from those of synchronous generators, particularly in abnormal conditions. For this reason, the power grid enforces grid codes to ensure that DERs perform properly in different conditions. For instance, short circuit faults and unbalanced grid voltage are severe transient events that inverters need to be able to pass through without disconnecting from the grid. Furthermore, the inverters are required to support the grid voltage by regulating the active and reactive power injections. This article proposes a voltage support control scheme to support grid voltage during asymmetrical voltage drop by utilizing an optimization problem. In this optimization problem, the active and reactive powers injected into the grid will be obtained optimally by considering constraints such as instantaneous active and reactive power oscillation magnitudes and peak current limitation. To aid in this purpose, the corresponding mathematical formulations such as instantaneous active and reactive power oscillation magnitudes will be obtained by using the currents and voltages in stationary reference frame. The proposed scheme will be verified by simulating it in MATLAB/Simulink under three different scenarios and tested on a real-time experimental Opal-RT platform.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 19","pages":"3097-3107"},"PeriodicalIF":2.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13258","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","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 interval prediction with unilateral adaptive update strategy and simplified biased convex cost function 采用单边自适应更新策略和简化的偏凸成本函数进行短期负荷区间预测

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-08-26 DOI: 10.1049/gtd2.13259

Shu Zheng, Huan Long, Zhi Wu, Wei Gu, Jingtao Zhao, Runhao Geng

{"title":"Short-term load interval prediction with unilateral adaptive update strategy and simplified biased convex cost function","authors":"Shu Zheng, Huan Long, Zhi Wu, Wei Gu, Jingtao Zhao, Runhao Geng","doi":"10.1049/gtd2.13259","DOIUrl":"https://doi.org/10.1049/gtd2.13259","url":null,"abstract":"This article proposes a unilateral Adaptive update strategy based Interval Prediction (AIP) model for short-term load prediction, which is developed based on lower and upper bound estimation (LUBE) architecture. In traditional LUBE interval prediction model, the model training is usually trained by heuristic algorithms. In this article, the model training is formulated as a bi-level optimization problem with the help of proposed unilateral adaptive update strategy and cost function. In lower-level problem, a simplified biased convex cost function is developed to supervise the learning direction of basic prediction engines. The basic prediction engine utilizes Gated Recurrent Unit (GRU) to extract features and Full connected Neural Network (FNN) to generate interval boundary. In upper-level problem, a unilateral adaptive update strategy with unilateral coverage rate is put forward. It iteratively tunes hyper-parameters of cost function during training process. Comprehensive experiments based on residential load data are implemented and the proposed interval prediction model outperforms the tested state-of-the-art algorithms, achieving a 15% reduction in prediction error and a 20% decrease in computational time.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 19","pages":"3108-3119"},"PeriodicalIF":2.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13259","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142430178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0