Iet Generation Transmission & Distribution最新文献_第9页

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

DC near-area voltage stability constrained renewable energy integration for regional power grids 区域电网的直流近区电压稳定约束可再生能源集成

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-08-23 DOI: 10.1049/gtd2.13254

Hailei He, Yantao Zhang, Xin Fang, Qinyong Zhou

{"title":"DC near-area voltage stability constrained renewable energy integration for regional power grids","authors":"Hailei He, Yantao Zhang, Xin Fang, Qinyong Zhou","doi":"10.1049/gtd2.13254","DOIUrl":"https://doi.org/10.1049/gtd2.13254","url":null,"abstract":"With the increasing deployment of renewable energy resources, the scale of DC networks and renewable capacity continues to grow. System security is challenged by the decrease in inertia from traditional synchronous generators. In order to accommodate high-penetration renewable energy, voltage stability should be considered in the renewable energy integration planning. Herein, first, a voltage stability-constrained minimum startup index and algorithm for conventional thermal power plants are proposed. Then, based on time series production simulation, a renewable energy integration capacity analysis algorithm is designed considering voltage stability and peak shaving constraints. Finally, based on the boundary conditions of the “Fifteen-Five Plan”, the renewable energy capacity considering voltage stability and peak shaving constraints for Northwest and East China power grids are analysed to verify the effectiveness and engineering practicality of the proposed methodology. The results demonstrate that the proposed method can maintain the renewable energy integration goal outlined in the “Fifteen-Five Plan” while maintaining the voltage stability in these regions.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 19","pages":"3059-3070"},"PeriodicalIF":2.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13254","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142430167","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

Designing a decentralized multi-community peer-to-peer electricity trading framework 设计分散式多社区点对点电力交易框架

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-08-22 DOI: 10.1049/gtd2.13257

Morteza Shafiekhani, Meysam Qadrdan, Yue Zhou, Jianzhong Wu

{"title":"Designing a decentralized multi-community peer-to-peer electricity trading framework","authors":"Morteza Shafiekhani, Meysam Qadrdan, Yue Zhou, Jianzhong Wu","doi":"10.1049/gtd2.13257","DOIUrl":"https://doi.org/10.1049/gtd2.13257","url":null,"abstract":"Electric power systems are currently undergoing a transformation towards a decentralized paradigm by actively involving prosumers, through the utilization of distributed multi-energy sources. This research introduces a fully decentralized multi-community peer-to-peer electricity trading mechanism, which integrates iterative auction and pricing methods within local electricity markets. The mechanism classifies peers in all communities on an hourly basis depending on their electricity surplus or deficit, facilitating electricity exchange between sellers and buyers. Moreover, communities engage in energy exchange not only within and between themselves but also with the grid. The proposed mechanism adopts a fully decentralized approach known as the alternating direction method of multipliers. The key advantage of this approach is that it eliminates the need for a supervisory node or the disclosure of private information of the involved parties. Furthermore, this study incorporates the flexibility provided by residential heating systems and energy storage systems into the energy scheduling of some prosumers. Case studies illustrate that the proposed multi-community peer-to-peer electricity trading mechanism effectively enhances local energy balance. Specifically, the proposed mechanism reduces average daily electricity costs for individual prosumers by 63% compared to scenarios where peer-to-peer electricity trading is not employed.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 19","pages":"3085-3096"},"PeriodicalIF":2.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13257","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142430209","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

Security constrained optimal power shutoff for wildfire risk mitigation 降低野火风险的安全约束最优断电方案

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-08-22 DOI: 10.1049/gtd2.13246

Noah Rhodes, Carleton Coffrin, Line Roald

{"title":"Security constrained optimal power shutoff for wildfire risk mitigation","authors":"Noah Rhodes, Carleton Coffrin, Line Roald","doi":"10.1049/gtd2.13246","DOIUrl":"https://doi.org/10.1049/gtd2.13246","url":null,"abstract":"Electric grid faults are increasingly the source of ignition for major wildfires. To reduce the likelihood of such ignitions in high risk situations, utilities use preemptive de-energization of power lines, commonly referred to as Public Safety Power Shutoffs (PSPS). Besides raising challenging trade-offs between power outages and wildfire safety, PSPS removes redundancy from the network at a time when component faults are likely to happen. This may leave the network particularly vulnerable to unexpected line faults that may occur while the PSPS is in place. Previous works have not explicitly considered the impacts of these outages. To address this gap, the Security Constrained Optimal Power Shutoff problem is proposed which uses post-contingency security constraints to model the impact of unexpected line faults when planning a PSPS. This model enables, for the first time, the exploration of a wide range of trade-offs between both wildfire risk and pre- and post-contingency load shedding when designing PSPS plans, providing useful insights for utilities and policy makers considering different approaches to PSPS. The efficacy of the model is demonstrated using the EPRI 39-bus system as a case study. The results highlight the potential risks of not considering security constraints when planning PSPS and show that incorporating security constraints into the PSPS design process improves the resilience of current PSPS plans.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 18","pages":"2972-2986"},"PeriodicalIF":2.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13246","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174326","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

Multi-agent reinforcement learning in a new transactive energy mechanism 新交易能源机制中的多代理强化学习

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2024-08-22 DOI: 10.1049/gtd2.13244

Hossein Mohsenzadeh-Yazdi, Hamed Kebriaei, Farrokh Aminifar

{"title":"Multi-agent reinforcement learning in a new transactive energy mechanism","authors":"Hossein Mohsenzadeh-Yazdi, Hamed Kebriaei, Farrokh Aminifar","doi":"10.1049/gtd2.13244","DOIUrl":"https://doi.org/10.1049/gtd2.13244","url":null,"abstract":"Thanks to reinforcement learning (RL), decision-making is more convenient and more economical in different situations with high uncertainty. In line with the same fact, it is proposed that prosumers can apply RL to earn more profit in the transactive energy market (TEM). In this article, an environment that represents a novel framework of TEM is designed, where all participants send their bids to this framework and receive their profit from it. Also, new state-action spaces are designed for sellers and buyers so that they can apply the Soft Actor-Critic (SAC) algorithm to converge to the best policy. A brief of this algorithm, which is for continuous state-action space, is described. First, this algorithm is implemented for a single agent (a seller and a buyer). Then we consider all players including sellers and buyers who can apply this algorithm as Multi-Agent. In this situation, there is a comprehensive game between participants that is investigated, and it is analyzed whether the players converge to the Nash equilibrium (NE) in this game. Finally, numerical results for the IEEE 33-bus distribution power system illustrate the effectiveness of the new framework for TEM, increasing sellers' and buyers' profits by applying SAC with the new state-action spaces. SAC is implemented as a Multi-Agent, demonstrating that players converge to a singular or one of the multiple NEs in this game. The results demonstrate that buyers converge to their optimal policies within 80 days, while sellers achieve optimality after 150 days in the games created between all participants.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 18","pages":"2943-2955"},"PeriodicalIF":2.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13244","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174328","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