2018 IEEE Electrical Power and Energy Conference (EPEC)最新文献_第5页

Reactive Power Dispatch of Inverter-Based Renewable Distributed Generation for Optimal Feeder Operation 基于逆变器的可再生分布式发电馈线优化无功调度

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598376

M. Tahir, R. El Shatshat, M. Salama

{"title":"Reactive Power Dispatch of Inverter-Based Renewable Distributed Generation for Optimal Feeder Operation","authors":"M. Tahir, R. El Shatshat, M. Salama","doi":"10.1109/EPEC.2018.8598376","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598376","url":null,"abstract":"Driven by technical challenges and environmental needs, there has been significant interest towards integrating more renewable energy sources (RESs) into the electricity grid. However, the high penetration level of RESs is usually accompanied with a few operating challenges such as voltage variation, reverse power flow, and frequent operations of Volt/Var control devices. To address these challenges, this paper presents a centralized coordinated voltage and reactive power control for a medium-voltage (MV) active distribution network (DN) dominated by photovoltaic (PV) and wind power systems. The proposed model minimizes the operating cost by minimizing the real power loss and reducing the number of OLTC operations while maintaining the network voltage within the allowable limits. The objective is to determine the required reactive power from the inverter based RESs (IBRESs) and the optimal setting of the OLTC. The coordination problem is formulated as a mixed-integer nonlinear programming (MINLP) optimization problem and solved by GAMS software. The proposed model is validated by a two-feeder MV distribution system connected to a sub-transmission system via a substation transformer. The results show that the proposed model can optimize the operational cost of active DNs. Hence, utility and customer satisfaction can be met.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127186137","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: 4

Investigation of an Energy Efficient Pump Speed Control Algorithm For Controlling Sump Level 一种高效节能的水泵转速控制算法的研究

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598383

J. Dubey, K. Goossen

引用次数: 0

Design and Field Implementation of a Multi-Agent System for Voltage Regulation Using Smart Inverters and Data Distribution Service (DDS) 基于智能逆变器和数据分配服务(DDS)的多智能体稳压系统的设计与现场实现

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598367

S. Saxena, Nader A. El-Taweel, H. Farag, L. S. Hilaire

引用次数: 7

Managing Disaster Mutual Assistance Operations in Electricity Companies: Developing an ArcGIS Online Web Map Application 电力公司灾害互助业务管理:开发一个ArcGIS在线网络地图应用程序

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598398

A. Asgary, Ben Pantin, A. Selvadurai

{"title":"Managing Disaster Mutual Assistance Operations in Electricity Companies: Developing an ArcGIS Online Web Map Application","authors":"A. Asgary, Ben Pantin, A. Selvadurai","doi":"10.1109/EPEC.2018.8598398","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598398","url":null,"abstract":"In the event of a large scale disaster, where the damage is apparent, electricity consumers tend to appreciate power outages will occur but their tolerance for the duration of an outage less predictable. As North America advances it technological and knowledge-based economies, its dependency on a safe, uninterrupted and reliable source of electricity reduces its patience for extended power outages. Electricity utilities simply do not have the day-to-day resources necessary to meet the disaster restoration expectations of a customer base dependent on uninterrupted power. Disaster mutual assistance in form of regional and national disaster mutual assistance groups has been used and developed by electricity utilities to support each other during major power outages. Effective management of disaster mutual assistance is a challenging task and requires significant preparedness, coordination, collaboration and resources. Electricity utilities impacted by disaster events need to quickly find other utilities able to provide the necessary assistance, determine their availability and for how long they can assist. Recent large-scale electricity disruptions experienced in Canada and the USA show that traditional methods of organizing disaster mutual assistance may be enhanced and by leveraging emerging technologies. This paper describes the background and motivations behind the development of a disaster mutual assistance coordination tool for Canadian electricity utilities.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"112 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120818698","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

A Power Quality and Load Analysis of a Cryptocurrency Mine 加密货币矿的电能质量和负载分析

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598358

K. Wheeler, Anthony W. Bowers, Charlie H. Wong, Jonathan Y. Palmer, Xue Wang

引用次数: 5

Deep Neural Networks (DNN) for Day-Ahead Electricity Price Markets 日前电价市场的深度神经网络(DNN)

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598327

Radhakrishnan Angamuthu Chinnathambi, S. Plathottam, Tareq Hossen, A. S. Nair, P. Ranganathan

引用次数: 19

Prototype Microgrid Design and Results 原型微电网设计和结果

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598359

C. Opathella, Prof. Bala Venkatesh

{"title":"Prototype Microgrid Design and Results","authors":"C. Opathella, Prof. Bala Venkatesh","doi":"10.1109/EPEC.2018.8598359","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598359","url":null,"abstract":"Microgrids can be considered as a tool to improve the power distribution system reliability and a platform to integrate renewable energy into the power grid. In the absence of large rotating synchronous generators, often microgrid voltage waveforms are formed by power electronic converters. These converters operate at constant voltage (constant V -f) mode operation when the microgrid is in islanded configuration and operate at constant power (constant P-Q) mode when the microgrid is connected to the main power grid. It is important to understand the performance of converters in terms of managing power balance within the microgrid both when they are connected to the main power grid and at stand-alone. Results of an experiment conducted with a prototype microgrid are presented. The prototype microgrid is purely formed by a three-phase converter bank. It is a three-phase unbalanced AC-DC network with a connected single phase Battery Energy Storage System (BESS), AC load and a DC load. Details of all network elements of the microgrid are included in the paper. By comparing voltage measurements to power flow analysis results, it was concluded that converters could manage the microgrid power balance.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078367","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

Effect of Unsteady Surface Wave on the Performance of Tidal In-Stream Power Systems 非定常面波对潮电系统性能的影响

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598430

Ali Fituri, H. Aly, W. M. E. El-Hawary

引用次数: 0

Generalized Phase-Shift Pulse Width Modulation for Multi-Level Converters 多电平变换器的广义移相脉宽调制

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598340

Saeed Arazm, H. Vahedi, K. Al-haddad

引用次数: 10

Dynamic Average Modeling of a CSI-based Small-Scale Standalone Wind Energy Conversion System 基于csi的小型独立风能转换系统动态平均建模

2018 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2018-10-01 DOI: 10.1109/EPEC.2018.8598455

Z. Alnasir, Mehrdad Kazerani

引用次数: 1