2019 North American Power Symposium (NAPS)最新文献_第3页

A Matlab and PowerFactory-based WAMS Simulator 基于Matlab和powerfactory的WAMS模拟器

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000245

R. Cárdenas-Javier, V. González-Sánchez, M. Paternina, F. Zelaya A., A. Zamora, V. Torres, D. Dotta

引用次数: 2

A Routing and Link Scheduling Strategy for Smart Grid NAN Communications 智能电网NAN通信的路由和链路调度策略

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000324

Shuchismita Biswas, V. Centeno

引用次数: 0

Advanced Supplemental Controller for a Static Var Compensator in Power Systems 电力系统中静态无功补偿器的高级补充控制器

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000256

Anusree Mandali, L. Dong, A. Morinec

{"title":"Advanced Supplemental Controller for a Static Var Compensator in Power Systems","authors":"Anusree Mandali, L. Dong, A. Morinec","doi":"10.1109/NAPS46351.2019.9000256","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000256","url":null,"abstract":"A supplemental controller for static var compensator (SVC) is developed for the voltage regulation in a power system. The control objectives are to suppress voltage fluctuations and to maintain voltage at nominal levels in different parts of power system within ANSI C84.1 limits (or ±5 % tolerance). Voltage fluctuations are mainly caused by disturbances such as random power load changes and loss of major equipment. These disturbances degrade voltage/power quality and could lead to catastrophic voltage collapse and black out. SVC itself can regulate voltage flicker but its robustness against the disturbances is inadequate. Therefore, an active disturbance rejection controller (ADRC) is applied to the SVC system for enhancing its performance. The ADRC is independent of the accurate mathematical model of the SVC system and able to compensate for external disturbances in real time. An ADRC is implemented on the power system with SVC in Simscape Power Systems. Simulation results demonstrate that the ADRC reach the control objectives successfully, and have superior performance to PI controller in disturbance rejection. In addition, the stability of the control system is justified. The comparison between both PI and ADRC is discussed.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600322","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

On the Tariff Modification for the Future Electric Vehicle Connection to the Grid 未来电动汽车并网电价调整研究

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000394

R. Biroon, R. Hadidi, Zoleikha Abdollahi

{"title":"On the Tariff Modification for the Future Electric Vehicle Connection to the Grid","authors":"R. Biroon, R. Hadidi, Zoleikha Abdollahi","doi":"10.1109/NAPS46351.2019.9000394","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000394","url":null,"abstract":"In recent years, integration of renewable energy sources to the traditional power system has attracted the attention of researchers as well as industries. Due to the limited availability of renewable energy sources e.g. solar, considering the energy storage system e.g. battery, is a must in this process. Electric Vehicles (EVs) as a major consumer of batteries, have a considerable influence on the power grids. Therefore, smart charging profiles of the electric vehicles as a battery storage system, play a significant role in the residential sector of energy management. Considering the notable share of the residential sector in the electricity demand market along with renewables growth, potential impacts of residential solar and batteries especially EVs on the stability and operation of the power grid should be taken into account. In this paper, we develop an optimization equation to investigate the effect of the electricity tariff on a residential customer's load profile in the presence of an electric vehicle. To simulate the EV trip, an imaginary load profile based on EV consumption rate has been defined. Results show that the customer's load profile is highly affected by the electricity tariff and the algorithm of EV connection to the grid.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131004689","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: 8

A Two-Stage Algorithm for Optimal Scheduling of Battery Energy Storage Systems for Peak-Shaving 电池储能系统调峰优化调度的两阶段算法

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000211

Roozbeh Karandeh, Tumininu Lawanson, V. Cecchi

{"title":"A Two-Stage Algorithm for Optimal Scheduling of Battery Energy Storage Systems for Peak-Shaving","authors":"Roozbeh Karandeh, Tumininu Lawanson, V. Cecchi","doi":"10.1109/NAPS46351.2019.9000211","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000211","url":null,"abstract":"Increased penetration of Renewable Energy Sources (RES) with intermittent and variable power output has led to increased use of Battery Energy Storage Systems (BESS) for grid applications. This paper presents a two-stage algorithm for optimal energy scheduling of BESS interfaced with RES. Initially, a multivariate linear regression-based estimation of voltages, currents, and network active power loss is performed using a synthetic dataset generated from the network model. Thereafter, a linear programming (LP) formulation is used to determine the output power of the BESS aimed at maximum peak-shaving and valley-filling, based on predicted day-ahead net demand and solar photovoltaic (PV) output. BESS technical and experimental constraints are considered in the model for an improved lifetime of the batteries. Compared to nonlinear approaches, the linearized model would reduce computational complexity and time, while maintaining reasonable accuracy. The linear programming model is solved using MATLAB, and the proposed algorithm is implemented on a real-world distribution feeder modeled in OpenDSS. The results show a significant reduction in peak demand, net demand variation range, and voltage variability caused by intermittent PV output.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127892094","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: 10

DNN-based Contingency Screening Module for Voltage Stability analysis 基于dnn的电压稳定分析应急筛选模块

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000276

T. Ibrahim, A. Mohamed

{"title":"DNN-based Contingency Screening Module for Voltage Stability analysis","authors":"T. Ibrahim, A. Mohamed","doi":"10.1109/NAPS46351.2019.9000276","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000276","url":null,"abstract":"Fast and accurate contingency screening (CS) has become a key enabler for secure operation of the power system. This is due to market activities, complex controls, and power supply intermittency that is caused by the integration of renewable energy sources. This paper proposes an online CS scheme for power systems voltage stability analysis (VSA) using deep neural networks (DNNs). The DNN model receives a snapshot of the power system status from state estimator. This snapshot contains information about the current topology of the system, the voltages at different buses and the loading of lines and generators. The model is trained to classify the state of the system as secure (stable) or insecure (unstable) under different system loading and contingency conditions. Three power system security constraints were considered: (1) the MVA loading of lines and generators is less than 110% of its rated value; (2) the voltage magnitude at the buses is within limits; and (3) the power flow solution is converged. Violating any of these conditions, the power system is considered insecure. Contingencies that lead to insecure operation are sorted in a list based on the number of violated conditions for further analysis. The proposed scheme is tested on the ISO New-England IEEE 39 bus system. The test results show that the proposed scheme is suitable for online applications.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126440629","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

Learning EV Placement Factors with Social Welfare and Economic Variation Modeling 基于社会福利和经济变化模型的电动汽车安置因素研究

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000338

Jingyi Yuan, Qiushi Cui, Zhihao Ma, Yang Weng

引用次数: 1

Impact of temperature on State of Charge estimation for an Electric Vehicle 温度对电动汽车充电状态估计的影响

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000303

S. Mohite, U. Suryawanshi, A. Sheikh, S. Wagh, N. Singh

{"title":"Impact of temperature on State of Charge estimation for an Electric Vehicle","authors":"S. Mohite, U. Suryawanshi, A. Sheikh, S. Wagh, N. Singh","doi":"10.1109/NAPS46351.2019.9000303","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000303","url":null,"abstract":"Electric Vehicle (EV) is an emerging trend in the automobile industry. The critical component of an EV is the battery. For accurate estimation of the state of charge (SOC) and maintaining the battery in operating region a battery management system (BMS) is implemented in EV. In literature various methods hava been proposed for SOC estimation, however, it has disadvantages such as accumulative error problem, high computation cost, complex algorithm. Another limitation is that the impact of factors such as the temperature, internal chemical composition and charging/discharging rate of battery on SOC is not considered. In view of this, the paper proposes a method to analyze the impact of these factors on SOC for its accurate estimation. For highlighting the impact of the temperature on the SOC, the temperature coefficient is proposed in this paper. A state space model of battery is developed by introducing a temperature coefficient in the existing battery model. For increasing the accuracy of estimating the SOC, an extended Kalman filter is used. The proposed model is implemented in the MATLAB environment and results show the impact of temperature on open circuit voltage (OCV) and SOC of the battery.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"343 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122275821","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

Energy Portfolio-based Joint Flexibility Scheduling of Coordinated Microgrids 基于能源组合的协同微电网联合柔性调度

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000345

Farhad Angizeh, K. Chau, Khashayar Mahani, M. Jafari

引用次数: 2

Distribution System State Estimation with AMI Based on Load Correction Method 基于负荷校正方法的配电系统状态AMI估计

2019 North American Power Symposium (NAPS) Pub Date : 2019-10-01 DOI: 10.1109/NAPS46351.2019.9000334

Tazwar Muttaqi, T. Baldwin, Steve C. Chiu

{"title":"Distribution System State Estimation with AMI Based on Load Correction Method","authors":"Tazwar Muttaqi, T. Baldwin, Steve C. Chiu","doi":"10.1109/NAPS46351.2019.9000334","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000334","url":null,"abstract":"State estimation for distribution systems (DSSE) is an important smart grid function for greater penetration of distributed renewable generation and energy storage, system resiliency, controllability, improved fault management, and optimal performance. The deployment of Advanced Metering Infrastructure (AMI) by the utilities provides useful near real-time data, which helps to overcome the historical limitation of measurement. Researches have proposed several estimation techniques; however, accuracy, observability and other issues still remain. This paper evaluates the Load-Calibration State Estimation method that compares the calculated and measured power (active and reactive) at source substation using forward backward load flow algorithm. Voltage and customer load demand data are processed into normalized daily load profile from AMI smart meters for state estimator. A digital radial distribution network database, modeler, and simulator system provides a testing and verification environment. The testing platform simulates various operating conditions and generates measurement data with additive noise. The state estimator is tested on the IEEE 13 and IEEE 37-bus test systems, and the estimator's output is compared with the known answers. Results indicate better speed and accuracy for the Load-Calibration State Estimator over the traditional transmission-level non-linear leastsquares estimator.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116156943","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