2017 IEEE Electrical Power and Energy Conference (EPEC)最新文献_第2页

FPGA implementation of a phaselet method for high speed distance relaying — Preliminary results FPGA实现的一种相位法高速距离继电器-初步结果

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286236

Xingxing Jin, R. Gokaraju, E. Pajuelo

引用次数: 0

Simulation of microgrid system with distributed generation 分布式发电微电网系统仿真

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286175

Faizan Khan, M. Ali, V. Sood, F. Bhuiyan, Phillip Insull, Faraz Ahmad

引用次数: 4

A low power cybersecurity mechanism for WSNs in a smart grid environment 智能电网环境下wsn的低功耗网络安全机制

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286172

G. S. Dhunna, I. Al-Anbagi

{"title":"A low power cybersecurity mechanism for WSNs in a smart grid environment","authors":"G. S. Dhunna, I. Al-Anbagi","doi":"10.1109/EPEC.2017.8286172","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286172","url":null,"abstract":"Smart Grid cybersecurity is one of the key ingredients for successful and wide scale adaptation of the Smart Grid by utilities and governments around the world. The implementation of the Smart Grid relies mainly on the highly distributed sensing and communication functionalities of its components such as Wireless Sensor Networks (WSNs), Phasor Measurement Units (PMUs) and other protection devices. This distributed nature and the high number of connected devices are the main challenges for implementing cybersecurity in the smart grid. As an example, the North American Electric Reliability Corporation (NERC) issued the Critical Infrastructure Protection (CIP) standards (CIP-002 through CIP-009) to define cybersecurity requirements for critical power grid infrastructure. However, NERC CIP standards do not specify cybersecurity for different communication technologies such as WSNs, fiber networks and other network types. Implementing security mechanisms in WSNs is a challenging task due to the limited resources of the sensor devices. WSN security mechanisms should not only focus on reducing the power consumption of the sensor devices, but they should also maintain high reliability and throughput needed by Smart Grid applications. In this paper, we present a WSN cybersecurity mechanism suitable for smart grid monitoring application. Our mechanism can detect and isolate various attacks in a smart grid environment, such as denial of sleep, forge and replay attacks in an energy efficient way. Simulation results show that our mechanism can outperform existing techniques while meeting the NERC CIP requirements.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125848342","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: 5

Simulation on power characteristic of UHVDC during commutation failure and DC block 特高压直流换相故障和直流阻塞时的功率特性仿真

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286182

Fanfan Li, Qian Chen, Xue Lin, P. Ju, Haoqing Xiong, Xin Shan, Bo Wang, C. Qin, Jian Zhao, Meng Jiang

引用次数: 3

Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems 固定式电池储能系统的模糊逻辑控制

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286239

C. Truong, Daniel May, Rodrigo Martins, P. Musílek, A. Jossen, H. Hesse

引用次数: 3

Optimal dispatching for active distribution network with wind-battery hybrid power system 风-电池混合动力有源配电网优化调度

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286160

Yuwei Ma, G. Zou, M. Hou, Qinglu Dong, Jingjing Yang

引用次数: 3

An active distribution network model for smart grid control and protection studies—Model validation progress 一种用于智能电网控制与保护的主动配电网模型研究——模型验证进展

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286242

A. Haddadi, J. Mahseredjian, H. Hooshyar, L. Vanfretti, C. Dufour

{"title":"An active distribution network model for smart grid control and protection studies—Model validation progress","authors":"A. Haddadi, J. Mahseredjian, H. Hooshyar, L. Vanfretti, C. Dufour","doi":"10.1109/EPEC.2017.8286242","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286242","url":null,"abstract":"This paper presents the implementation of an Active Distribution Network (ADN) model and its qualitative assessment using different off-line and real-time simulation tools. The objective is to provide software-to-software verification for the establishment of the model as a potential benchmark. Expanding upon the authors' previous work [7], this paper provides additional simulation results, cross-examination of the models, and presents the latest modifications incorporated to address practical considerations. The ADN has multiple voltage levels and features various types of distributed energy resources including solar, wind generators, and storage. It further incorporates control and protection schemes for distributed energy resource units and loads; hence, it adequately represents the complex dynamics of an active distribution grid compared to the existing distribution grid test cases in the literature. As such, the test system can be used by other researchers to test numerical methods and conduct research on Smart Grid control, protection, and dynamic studies.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122492212","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: 5

On-line gas monitoring for increased transformer protection 在线气体监测，增加变压器保护

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286169

M. Saad, E. teNyenhuis

引用次数: 10

Impact of fast charging stations on the voltage flicker in the electric power distribution systems 快速充电站对配电系统电压闪变的影响

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286226

Sami M. Alshareef, W. Morsi

引用次数: 20

Distribution network reconfiguration with the application of DLMP using genetic algorithm 利用遗传算法应用DLMP进行配电网重构

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI: 10.1109/EPEC.2017.8286235

Saeed Nematshahi, H. R. Mashhadi

{"title":"Distribution network reconfiguration with the application of DLMP using genetic algorithm","authors":"Saeed Nematshahi, H. R. Mashhadi","doi":"10.1109/EPEC.2017.8286235","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286235","url":null,"abstract":"Distribution network reconfiguration problem has been known as a common issue in distribution network operation. Up to now, distribution network reconfiguration has been used for minimizing the power loss, reliability concerns and emergency problems. According to the increasing installation rate of Distributed Generations (DGs) and the rapidly growing number of Electric Vehicles (EVs), as a large responsive loads, distribution network operators have encountered new problems. These new aspects of network operation problem consist of congestion problem and require to established distribution market to execute the market process. This paper presents a novel methodology to solve this problem with the application of Distribution Locational Marginal Price (DLMP), using Genetic Algorithm (GA). The standard IEEE 33-bus network has been selected as a suitable case study and simulation results demonstrate the compatibility of proposed method. Comparison with other papers have also been addressed in case of not considering DGs and congestion issue. In the following, DGs participation in distribution electricity market, the congestion problem and numerical results has been shown and discussed.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134118252","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: 7