2020 IEEE Power & Energy Society General Meeting (PESGM)最新文献

Stability of Algorithms for Electro-MagneticTransient Simulation of Networks with Switches and Non-linear Inductors 具有开关和非线性电感的网络电磁暂态仿真算法的稳定性

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9281496

Huanfeng Zhao, Shengtao Fan, A. Gole

引用次数: 0

Using Lagrangian Relaxation to Include Operating Limits of VSC-MTDC System for State Estimation 用拉格朗日松弛法估计VSC-MTDC系统的运行极限

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9281457

Wei Feng, Qingxin Shi, Hantao Cui, F. Li, Chen Yuan, Renchang Dai, Guangyi Liu

{"title":"Using Lagrangian Relaxation to Include Operating Limits of VSC-MTDC System for State Estimation","authors":"Wei Feng, Qingxin Shi, Hantao Cui, F. Li, Chen Yuan, Renchang Dai, Guangyi Liu","doi":"10.1109/PESGM41954.2020.9281457","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281457","url":null,"abstract":"This paper proposes an improved state estimation (SE) method by combining Lagrangian relaxation and WLS (weighted least square) such that the operating limits of voltage sourced converter based multi-terminal direct current (VSC-MTDC) system are considered. Taking advantage of the fast-regulating ability of pulse-width modulation (PWM), the operating range of the converter is strictly restricted within limits. In addition, when the limits violate, the new control strategy can be executed in a very short time to ensure safe operation. However, the conventional SE approaches, which rely on global optimization, may fail to tackle the operating limits due to the different measurement errors of AC and DC grids. To improve the accuracy of SE for VSC-MTDC system, an improved SE method is proposed with three main contributions. First, the operating limits, together with the regulations, are analyzed in detail. Then, a violation-checking procedure is implemented inside the Sequential Method. Finally, once the violated estimations are detected, the corresponding equality constraints which represent the precise operating points are added in WLS and solved by Lagrangian relaxation. The accuracy and efficiency of the proposed method are tested on two typical systems with different control parameters.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115638787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Application of Chebyshev’s Inequality in Online Anomaly Detection Driven by Streaming PMU Data Chebyshev不等式在PMU数据流驱动在线异常检测中的应用

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9281553

Pengyuan Wang, Honggang Wang, Philip J. Hart, Xian Guo, Kaveri Mahapatra

引用次数: 0

A Hybrid Intelligent Approach for Classification of Incipient Faults in Transmission Network 输电网早期故障的混合智能分类方法

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9282041

G. Chang, Yong-Han Hong, Guan-Yi Li

{"title":"A Hybrid Intelligent Approach for Classification of Incipient Faults in Transmission Network","authors":"G. Chang, Yong-Han Hong, Guan-Yi Li","doi":"10.1109/PESGM41954.2020.9282041","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282041","url":null,"abstract":"Voltage sags are often manifested as the permanent or incipient faults occurred in the power system because of equipment malfunctions or failures. The incipient faults which are originally self-cleaning faults may repeatedly occur and gradually develop to a permanent fault after its first occurrence. The incipient fault detection is considered as a crucial task in predictive maintenance for power equipment such as transformers, circuit breakers, and underground cables. This paper proposes a hybrid method for incipient faults detection and classification. The proposed method firstly adopts two extraction methods and two feature measures to obtain seven peculiar features from voltage waveforms of abnormal phases recorded by power quality monitors at substations in a transmission network. Then, a feature selection method and the support vector machine combined with particle swarm optimization are applied to classify various types of incipient faults. Test results show that the proposed method contributes relatively accurate classification of incipient faults and can be employed as a useful tool for condition monitoring of major power equipment in the transmission network.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"50 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120815390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Hybrid Embedded Power Supply Combining High-Energy Density and Ultra-High Power Lithium-ion Batteries For Electric Vehicle Applications 混合嵌入式电源结合高能量密度和超高功率锂离子电池的电动汽车应用

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9282047

T. Mesbahi, P. Bartholomeus, I. Jorge

{"title":"Hybrid Embedded Power Supply Combining High-Energy Density and Ultra-High Power Lithium-ion Batteries For Electric Vehicle Applications","authors":"T. Mesbahi, P. Bartholomeus, I. Jorge","doi":"10.1109/PESGM41954.2020.9282047","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282047","url":null,"abstract":"The work proposed in this paper deals with an improved configuration of hybrid embedded power supply in electric vehicle applications. New requirements for energy storage systems in the transportation domain are necessary, including high power and energy density, long lifetime, high dynamic charge acceptance particularly for regenerative braking, lightweight design, and relatively modest cost. In order to enhance the system performances and achieve these targets, the proposed system is composed of high-energy density lithium-ion battery as the main source and ultra-high power lithium-ion battery as an auxiliary source. The sizing process of this hybrid embedded power supply incorporating the optimization of the power split between both batteries is carried out thanks to a hybrid Particle Swarm–Nelder–Mead optimization algorithm. Obtained results show that the proposed configuration improves the dynamic charge and discharge, and decreases the power stress applied to the battery. Furthermore, the weight of the hybrid embedded power system is significantly enhanced compared to regular supply using single lithium-ion battery.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":" 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120968074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimal Configuration of Energy Storage System Considering Uncertainty of Load and Wind Generation 考虑负荷和风力发电不确定性的储能系统优化配置

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9281577

Shuai Zhang, Xingzhen Bai, Leijiao Ge, Jun Yan

{"title":"Optimal Configuration of Energy Storage System Considering Uncertainty of Load and Wind Generation","authors":"Shuai Zhang, Xingzhen Bai, Leijiao Ge, Jun Yan","doi":"10.1109/PESGM41954.2020.9281577","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281577","url":null,"abstract":"Energy storage systems are promising solutions to the mitigation of power fluctuations and the management of load demands in distribution networks. However, the uncertainty of load demands and wind generations increasingly seen in distribution networks may have a great impact on the configuration of ESS. To solve the problem, a novel optimal configuration method for energy storage system is proposed to reduce the influence of uncertainty of both load demands and WGs. The proposed method first reduce the uncertainty of load through a comprehensive demand response system based on time-of-use and incentive. Then, to predict the output of wind generations, we use the particle swarm optimization and backpropagation neural network to create a predictive model of the wind power. Then, an optimal configuration model is established to minimize the ESS investment cost and the network power loss reduction, subject to technical constraints such as ESS operational constraints and power balance constraint et al. An improved simulated annealing PSO algorithm is used to solve the optimization problem. Finally, the numerical studies on a modified IEEE 33-node distribution system show the advantages of the proposed methodology.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125072927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fault Response of Distributed Energy Resources Considering the Requirements of IEEE 1547-2018 考虑IEEE 1547-2018要求的分布式能源故障响应

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9281878

Rasel Mahmud, Andy Hoke, D. Narang

引用次数: 3

A Communication Scheme for Blockchain based Peer to Peer Energy Trading 基于区块链的点对点能源交易通信方案

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9281612

S. Islam, M. A. Mahmud, A. Oo

引用次数: 2

Degradation and Operation-Aware Framework for the Optimal Siting, Sizing and Technology Selection of Battery Storage 电池储能优化选址、规模和技术选择的退化和运行感知框架

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9281643

Timur Saifutdinov, C. Patsios, P. Vorobev, E. Gryazina, D. Greenwood, J. Bialek, P. Taylor

{"title":"Degradation and Operation-Aware Framework for the Optimal Siting, Sizing and Technology Selection of Battery Storage","authors":"Timur Saifutdinov, C. Patsios, P. Vorobev, E. Gryazina, D. Greenwood, J. Bialek, P. Taylor","doi":"10.1109/PESGM41954.2020.9281643","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281643","url":null,"abstract":"This paper addresses the problem of optimal siting, sizing, and technology selection of Energy Storage System (ESS) considering degradation arising from state of charge and Depth of Discharge (DoD). The capacity lost irreversibly due to degradation provides the optimizer with a more accurate and realistic view of the capacity available throughout the asset’s entire lifetime as it depends on the actual operating profiles and particular degradation mechanisms. When taking into account the ESS’s degradation, the optimization problem becomes nonconvex, therefore no standard solver can guarantee the globally optimal solution. To overcome this, the optimization problem has been reformulated to a Mixed Integer Convex Programming (MICP) problem by substituting continuous variables that cause nonconvexity with discrete ones. The resulting MICP problem has been solved using the Branch-and-Bound algorithm along with convex programming, which performs an efficient search and guarantees the globally optimal solution. We found that the optimal battery use does not necesseraly correspond to it reaching its End of Life state at the end of the service lifetime, which is the result of nonlinear degradation mechanicms from both idling and cycling. Finally, the proposed methodology allows formulating computationally tractable stochastic optimization problem to account for future network scenarios.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115103235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An AC Stochastic Optimal Transmission Switching Approach with Scenario Reduction Technique 基于场景约简技术的交流随机最优传输交换方法

2020 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2020-08-02 DOI: 10.1109/PESGM41954.2020.9281777

T. Lan, Zhangxin Zhou, Garng M. Huang

引用次数: 0