2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)最新文献

A cyber-physical resilience metric for smart grids 智能电网的网络物理弹性度量

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-10-30 DOI: 10.1109/ISGT.2017.8086065

Ivo Friedberg, K. Mclaughlin, Paul Smith

引用次数: 9

Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model 基于随机响应面法和ARMA-GARCH模型的随机动态潮流分析

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-10-26 DOI: 10.1109/ISGT.2017.8086059

Nhung Nguyen-Hong, Y. Nakanishi

引用次数: 2

Optimal allocation of photovoltaic systems and energy storage systems considering constraints of both transmission and distribution systems 考虑输配电约束的光伏系统和储能系统的优化配置

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-10-26 DOI: 10.1109/ISGT.2017.8086012

Ryusuke Konishi, Yuji Takenobu, Masaki Takahashi, Y. Hayashi

引用次数: 5

Towards the improvement of multi-objective evolutionary algorithms for service restoration 面向服务恢复多目标进化算法的改进

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-07-01 DOI: 10.1109/PESGM.2017.8274334

L. T. Marques, A. Delbem, J. London

引用次数: 0

An MILP model for optimal management of energy consumption and comfort in smart buildings 智能建筑能耗与舒适度优化管理的MILP模型

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-04-23 DOI: 10.1109/ISGT.2017.8085956

Jerson A. Pinzon, P. Vergara, L. C. P. Silva, M. J. Rider

引用次数: 11

Development of prediction-based operation planning method for domestic air-conditioner with adaptive learning of installation environment 基于安装环境自适应学习的家用空调运行计划预测方法研究

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-04-23 DOI: 10.1109/ISGT.2017.8085983

Ryoichi Kuroha, Y. Fujimoto, Wataru Hirohashi, Y. Amano, S. Tanabe, Y. Hayashi

引用次数: 1

Interoperability test for IEC 61850-9-2 standard-based merging units 基于IEC 61850-9-2标准的合并单元的互操作性测试

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-04-23 DOI: 10.1109/ISGT.2017.8086084

E. Song, Kang B. Lee, G. FitzPatrick, Yixin Zhang

{"title":"Interoperability test for IEC 61850-9-2 standard-based merging units","authors":"E. Song, Kang B. Lee, G. FitzPatrick, Yixin Zhang","doi":"10.1109/ISGT.2017.8086084","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086084","url":null,"abstract":"Merging units (MUs) sample alternating current (AC) in one or multiple phases and convert these analog voltage and current signals to digital values and transmit the sampled values (SVs) to protection relays (PRs) and bay controllers (BCs) through either Ethernet or optical communication channels based on the IEC 61850-9-2 protocol. MUs could provide real-time data for current, voltage, and status of power grids, and therefore, they can play a key role in real-time monitoring, protection, and control of the grids. However, MU data exchange, sharing, and interoperability can pose major challenges for the power industry. With the standardization of MU data formats, interfaces, and communication protocols, it is hopeful that data interoperability of MUs can be achieved via the IEC 61850-9-2 standard. Nevertheless, MUs and PRs produced by different vendors may not be interoperable, even though they might conform to the IEC 61850-9-2 standards. Meanwhile, another challenge is how to assure the interoperability of MUs and the best way to achieve that is through MU interoperability testing. This paper proposes a passive interoperability test method for IEC 61850-9-2 based MUs. It mainly focuses on monitoring the communications and capturing the packets between the device under test (DUT) or MU, and the MU tester or PR, and analyzing the interoperability of MUs based on the packets captured. The interoperability test system consists of five parts: a MU tester, a DUT, a network switch, a network sniffer, and a MU interoperability analyzer. IEC 61850-9-2 provides an interoperability test suite that includes a number of test cases. Two commercial MUs from different vendors have been tested with the MU Tester over Ethernet based on the interoperability test method proposed. Test results of a test case for sending SVs are provided","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124774372","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

Control of an SSSC for oscillation damping of power systems with wind turbine generators 风力发电机组电力系统振动阻尼的SSSC控制

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-04-23 DOI: 10.1109/ISGT.2017.8085974

Muthanna Al-Sarray, R. McCann

{"title":"Control of an SSSC for oscillation damping of power systems with wind turbine generators","authors":"Muthanna Al-Sarray, R. McCann","doi":"10.1109/ISGT.2017.8085974","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8085974","url":null,"abstract":"The increased adoption of wind generation capacity into worldwide electric power systems presents many challenges due to the intermittent nature of this energy resource. The equipment for flexible ac transmission systems (FACTS) are the focus of this paper with the goal of overcoming the difficulties of achieving improved electric power system reliability with large penetration of wind generation. FACTS equipment can also contribute towards reducing the cost of power system expansions by better utilizing existing assets to defer future infrastructure expenses. In addition, FACTS equipment can minimize issues concerning adequate damping of power oscillations, transmission capacities, and frequency regulation. The paper presents research results on improving power oscillation damping and increased transmission capacities under dynamic conditions using static synchronous series compensator (SSSC) technology. Detailed analysis and simulation of these factors are considered under normal and faulted in the power system network. Results of this investigation help in understanding the improvements that can be achieved by incorporating SSSC equipment in systems having large participation factors associated with wind turbine generators.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127796044","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: 6

Recurrent neural network based user classification for smart grids 基于递归神经网络的智能电网用户分类

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-04-23 DOI: 10.1109/ISGT.2017.8086043

Kálmán Tornai, A. Oláh, Rajmund Drenyovszki, Lóránt Kovács, István Pintér, J. Levendovszky

{"title":"Recurrent neural network based user classification for smart grids","authors":"Kálmán Tornai, A. Oláh, Rajmund Drenyovszki, Lóránt Kovács, István Pintér, J. Levendovszky","doi":"10.1109/ISGT.2017.8086043","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086043","url":null,"abstract":"Power consuming users and buildings with different power consumption patterns may be treated with different conditions and can be taken into consideration with different parameters during capacity planning and distribution. Thus the automated, unsupervised categorization of power consumers is a very important task of smart power transmission systems. Knowing the behavioral categories of power consumers better models can be created which can be used for better behavior forecast which is an important task for load balancing. One of the existing best solutions for consumer classification is the consumption forecast based scheme which applies nonlinear forecast techniques to determine the class assignment for new consumers. In this paper, we present new results on the classification of consumers using recurrent neural networks in the forecast based classification framework. The results are compared with existing classification methods using real, measured power consumption data. We demonstrate that consumer classification performed by recurrent neural networks can outperform existing methods as in several cases the correct class assignment rate is near to 100%.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133417108","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

Security-constrained unit commitment with integration of battery storage in wind power plant 风电场电池储能集成的安全约束机组承诺

2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Pub Date : 2017-04-23 DOI: 10.1109/ISGT.2017.8085964

Sobhan Badakhshan, N. Hajibandeh, M. Ehsan, S. Soleymani

引用次数: 3