2021 IEEE Kansas Power and Energy Conference (KPEC)最新文献_第2页

Optimal Power Management Strategy for Industrial Users Based on the State Task Network Considering User Preferences 考虑用户偏好的基于状态任务网络的工业用户最优电源管理策略

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446210

Chenwei Jiang, F. Wen, Yusheng Xue, Fei Chen, Yikai Sun, Lijun Zhang

{"title":"Optimal Power Management Strategy for Industrial Users Based on the State Task Network Considering User Preferences","authors":"Chenwei Jiang, F. Wen, Yusheng Xue, Fei Chen, Yikai Sun, Lijun Zhang","doi":"10.1109/KPEC51835.2021.9446210","DOIUrl":"https://doi.org/10.1109/KPEC51835.2021.9446210","url":null,"abstract":"With continuous development of smart grid technology, the interaction between the power system and user-side resources is constantly strengthening. Among various users who can participate in demand response (DR), industrial users have the characteristics of large power consumption and high degree of equipment automation, and hence can be scheduled more flexibly. In this paper, an optimal power management strategy for industrial users based on the state task network (STN) is proposed to assist industrial users specifically scheduling electrical equipment with an objective of minimizing electricity costs. Taking into account the user preferences for production equipment, the electricity consumption of users during the peak electricity price period could be significantly reduced through optimized operation of the schedulable task nodes of industrial users. Case studies are carried out to demonstrate the feasibility and effectiveness of the proposed method and to examine the impacts of applying the proposed method on industrial production processes and economic benefits of industrial users.","PeriodicalId":392538,"journal":{"name":"2021 IEEE Kansas Power and Energy Conference (KPEC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127734938","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

Hourly Dispatching Utility-Scale Solar PV Power with Megawatt Multilevel Grid Inverter 采用兆瓦级多级电网逆变器的小时调度公用事业规模太阳能光伏发电

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446216

Pranoy Roy, Jiangbiao He

{"title":"Hourly Dispatching Utility-Scale Solar PV Power with Megawatt Multilevel Grid Inverter","authors":"Pranoy Roy, Jiangbiao He","doi":"10.1109/KPEC51835.2021.9446216","DOIUrl":"https://doi.org/10.1109/KPEC51835.2021.9446216","url":null,"abstract":"This study demonstrates a dispatching scheme of solar PV power utilizing two different types of energy storage components, namely, lithium-ion (Li-ion) battery and supercapacitors (SC). The cost optimization of the energy storage system, considering both cycling and calendar aging expenses, is assessed based on its usage of depth of discharge. It is found that the Li-ion battery is a better solution than the SC in terms of economic assessment for hourly dispatching PV power. Also, multilevel inverters, T-type and I-type neutral point clamped (NPC) inverters, are investigated due to their superior attributes: high efficiency, low total harmonic distortion, and reduced common-mode voltage. The power losses between the three-level T-type and I-type NPC inverters are compared, to identify the superior grid inverter topology for this application. The inverter loss analysis is conducted using the parameter values of the switching devices in the MATLAB/SIMULINK environment, and the T-type NPC inverter was found to exhibit better performance than the I-type NPC inverter for megawatt-scale grid connected PV arrays. Furthermore, an LCL filter has been designed for higher efficiency and better harmonic attenuation to interface the inverter with the utility grid.","PeriodicalId":392538,"journal":{"name":"2021 IEEE Kansas Power and Energy Conference (KPEC)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116983411","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

Node Voltage Estimation of Distribution System Using Artificial Neural Network Considering Weather Data 考虑天气数据的配电系统节点电压人工神经网络估计

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446209

Kesh Pun, Saurav M. S. Basnet, W. Jewell

{"title":"Node Voltage Estimation of Distribution System Using Artificial Neural Network Considering Weather Data","authors":"Kesh Pun, Saurav M. S. Basnet, W. Jewell","doi":"10.1109/KPEC51835.2021.9446209","DOIUrl":"https://doi.org/10.1109/KPEC51835.2021.9446209","url":null,"abstract":"Load flow analysis using traditional methods for power flow is becoming complex (reverse power flow and voltage volatility) due to the configuration complexity brought about by renewable energy resource (RER) integration. The variable and intermittent nature of RER integration also contributes to the power flow complexity. Power system operators should be aware of the state of the operation. An alternative to traditional power flow methods could be an artificial intelligence technique. Therefore, in this study, the node voltage estimation of a distribution system using an artificial neural network (ANN) has been proposed. Since a significant portion of residential load and RER generation are dependent on weather conditions, load flow analysis including weather data in GridLAB-D has been carried out. Typical meteorological year (TMY) information has been used as the weather data. Results show that node voltage estimation using the ANN technique is robust on different photovoltaic (PV) and wind power penetration levels as well as the significant loss of load measurement data and/or PV and wind generation data.","PeriodicalId":392538,"journal":{"name":"2021 IEEE Kansas Power and Energy Conference (KPEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114349646","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

Smart Active Rectifier Fed by a Variable Voltage and Frequency Source 可变电压和频率源馈电的智能有源整流器

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446208

J. Benzaquen, B. Mirafzal

{"title":"Smart Active Rectifier Fed by a Variable Voltage and Frequency Source","authors":"J. Benzaquen, B. Mirafzal","doi":"10.1109/KPEC51835.2021.9446208","DOIUrl":"https://doi.org/10.1109/KPEC51835.2021.9446208","url":null,"abstract":"In an effort to increase the efficiency and power density of electric vehicles and aircraft, the automobile and aerospace industries are adopting variable-speed generators as part of the powertrain. Herein, the engine directly drives a permanent magnet synchronous machine, which generates a variable-frequency/amplitude output ac-voltage. More specifically, this unique ac-voltage profile serves as the input for an ac-dc power converter that energizes the main dc-bus of the powertrain. In this paper, a smart active rectifier for hybrid/all-electric powertrains is presented. A direct model reference adaptive control (MRAC) scheme is utilized to address the rapid changes in amplitude and frequency while regulating the dc-bus voltage at unity power factor. Moreover, the MRAC requires minimal tuning due to its capability of adjusting its gains adaptively with the input voltage variations. As a result, the MRAC exhibits seamless dynamics. The performance of the MRAC is verified experimentally under accelerating and decelerating variable-frequency/amplitude input voltage ramps using a laboratory-scale 2-kW 270-V SiC-MOSFET-based power converter supplied by a programmable grid emulator. Lastly, a classic proportional-integral (PI) control scheme is implemented experimentally with the same converter as a benchmark to highlight the merits of the proposed converter.","PeriodicalId":392538,"journal":{"name":"2021 IEEE Kansas Power and Energy Conference (KPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127455901","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

Additional Insights in Creating Large-Scale, High Quality Synthetic Grids: A Case Study 创建大规模，高质量的合成网格的额外见解:一个案例研究

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446252

F. Safdarian, A. Birchfield, K. Shetye, T. Overbye

引用次数: 6

Optimal Sizing of Battery Energy Storage Systems for Small Modular Reactor based Microgrids 基于小型模块化电抗器的微电网电池储能系统的优化尺寸

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446203

Xuebo Liu, M. Ross, H. Bindra, Hongyu Wu

引用次数: 0

New Approach Towards Cyber Security for Nuclear Power Control System 核电控制系统网络安全新途径

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446235

Qaisar Farooq, Leng Shan, Huang Yuan Yuan

引用次数: 1

Integrated Volt/Var Control and Conservation Voltage Reduction in Unbalanced Distribution Networks Considering Smart PV Inverter Control Using Equilibrium Optimizer Algorithm 基于平衡优化算法的智能光伏逆变器控制的不平衡配电网电压/无功综合控制与守恒降压

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446226

Mojtaba Ahanch, R. McCann

引用次数: 4

Interconnection Study and Optimization of Grid Connected Photovoltaic System Using Electromagnetic Transient Program 利用电磁暂态程序对并网光伏系统的互联研究与优化

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/KPEC51835.2021.9446233

Bikrant Poudel, Bikram Bhandari, E. Amiri, P. Rastgoufard, Thomas E. Field, Roy A. McCanne

引用次数: 3

Dual-pole Line Start PM Motor With Variable Coil Number for Applications With Constant Load Torque 双极线启动永磁电机与可变线圈数应用恒定负载转矩

2021 IEEE Kansas Power and Energy Conference (KPEC) Pub Date : 2021-04-19 DOI: 10.1109/kpec51835.2021.9446239

Fakhrossadat Ghoroghchian, A. D. Aliabad, E. Amiri

引用次数: 0