2010 5th International Conference on Critical Infrastructure (CRIS)最新文献_第9页

Cascading failures in multiple infrastructures: From transportation to communication network 多基础设施中的级联故障:从运输到通信网络

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617569

C. Barrett, R. Beckman, K. Channakeshava, Fei Huang, V. Kumar, A. Marathe, M. Marathe, Guanhong Pei

{"title":"Cascading failures in multiple infrastructures: From transportation to communication network","authors":"C. Barrett, R. Beckman, K. Channakeshava, Fei Huang, V. Kumar, A. Marathe, M. Marathe, Guanhong Pei","doi":"10.1109/CRIS.2010.5617569","DOIUrl":"https://doi.org/10.1109/CRIS.2010.5617569","url":null,"abstract":"This research conducts a systematic study of human-initiated cascading failures in critical inter-dependent societal infrastructures. The focus is on three closely coupled systems: (i) cellular and mesh networks, (ii) transportation networks and (iii) social phone call networks. We analyze cascades that occur in inter-dependent infrastructures due to behavioral adaptations in response to a crisis. During crises, changes in individual behavioral lead to altered calling patterns and activities, which influence the urban transport network. This, in turn, affects the loads on wireless networks. The interaction between these systems and their co-evolution poses significant technical challenges for representing and reasoning about these systems. We develop interaction-based models in which individuals and infrastructure elements are placed in a common geographic coordinate system. The goal is to study the impact of a chemical plume in a densely populated urban region. Authorities order evacuation of the affected area which leads to change in people's activity patterns as they are forced to drive home or to evacuation shelters. They also use the wireless networks for coordination among family members and information sharing. These two behavioral adaptations, cause flash-congestion in the urban transport network and the wireless network. We analyze how extended periods of unanticipated road congestion can result in failure of infrastructures, starting with the servicing base stations in the congested area. Finally, we study the criticality and robustness of the various base stations and measure how congestion in the transportation network impacts communication infrastructure.","PeriodicalId":206094,"journal":{"name":"2010 5th International Conference on Critical Infrastructure (CRIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123112477","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: 52

Comparison and verification of load model based on PSASP 基于PSASP的负荷模型的比较与验证

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617579

Huilin Wang, Jin Ma, Xiao-yu Zheng

引用次数: 3

A method based on improved instantaneous symmetrical components and three-point algorithm for synchronized phasor measurement 一种基于改进瞬时对称分量和三点算法的同步相量测量方法

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617518

Hui Wang, Xian-rong Chang

引用次数: 5

Power system operation risk assessment based on possibility prioritization search strategy of cascading outage 基于级联停电可能性优先搜索策略的电力系统运行风险评估

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617502

Lu Zhao, Jin Ma, Z. Lei

引用次数: 5

Electricity grid operation and planning related benefits of advanced metering infrastructure 电网运行与规划相关的先进计量基础设施的好处

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617583

E. Liu, M. Chan, C. W. Huang, N. C. Wang, C. Lu

引用次数: 18

Study on sequence component based fault phase selector during power swings 基于时序分量的功率波动故障选相器研究

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617576

Wei Li, T. Bi, Qixun Yang

引用次数: 8

Monte Carlo simulation based assessment of available transfer capability in AC-DC hybrid systems 基于蒙特卡罗仿真的交直流混合系统可用传输能力评估

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617551

Junqiang Wei, Gengyin Li, Ming Zhou, K. Lo

{"title":"Monte Carlo simulation based assessment of available transfer capability in AC-DC hybrid systems","authors":"Junqiang Wei, Gengyin Li, Ming Zhou, K. Lo","doi":"10.1109/CRIS.2010.5617551","DOIUrl":"https://doi.org/10.1109/CRIS.2010.5617551","url":null,"abstract":"Available transfer capability (ATC) is defined as a measure of the system's capability for transfers of power for further commercial activity, over and above already committed uses. In practical power markets, ATC can provide important information for transmission customers, system operators and power marketers. The assessment of ATC should be carried out to assure the secure, economic, stable and reliable operation of power systems. Most of the existing ATC calculation are mainly focused on AC power system and based on deterministic techniques. As high voltage direct current (HVDC) power distribution systems have been extensively used in modem transmission network, less work has been done on evaluation of ATC in AC-DC hybrid power system. This paper is dealing with the evaluation of ATC for the integration of HVDC link with an AC power system. The mathematical model of ATC for AC-DC hybrid power system is proposed. Due to the stochastic nature of power system behaviors, it is important to assess ATC from a statistical and risk analysis point of view. Considering the dynamics, time-varying and uncertainties of hybrid power systems, several statistical indices are presented to evaluate ATC and they are calculated based on Monte Carlo simulation. States of system operation can be simulated, and the algorithm based on MATPOWER (A MATLAB™ Power System Simulation Package) is developed in the environment of MATLAB 7.5. Case study with a modified IEEE 30-bus AC-DC hybrid power system is used to verify the presented approach. Sequential solution method is employed to deal with the AC-DC power flow. Five-number summary and other statistical indices of ATC are calculated. The results show that the proposed method is effective and practical. The research achievements are undergoing to transfer to the application in other hybrid power systems with different control style, and some new problems are suggested at the end of paper.","PeriodicalId":206094,"journal":{"name":"2010 5th International Conference on Critical Infrastructure (CRIS)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132034854","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

Coordinated control strategy based on network parameters for voltage sags compensating in Microgrid 基于网络参数的微电网电压跌落补偿协调控制策略

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617507

Z. Lei, Xin Ai, Mingyong Cui

{"title":"Coordinated control strategy based on network parameters for voltage sags compensating in Microgrid","authors":"Z. Lei, Xin Ai, Mingyong Cui","doi":"10.1109/CRIS.2010.5617507","DOIUrl":"https://doi.org/10.1109/CRIS.2010.5617507","url":null,"abstract":"Since Microgrid located downstream in distribution network, voltage sags caused by short circuit have become common power quality events that users of Microgrid have to face. According to where the short circuits occurred, voltage sags can be divided into two categories, interior voltage sag and exterior voltage sag. Exterior voltage sag caused by short circuit taking place in distribution network, and interior one caused by short circuit taking place in Microgrid itself. Therefore the compensation of voltage sag is also adjusted according to the category of sag, as well as choosing control strategy and capacity of compensator. In this paper the characteristics of two kinds of voltage sags are analyzed, according to the analysis results coordinated control strategy of voltage sags compensation have been proposed. Mitigating the exterior voltage sags needs relatively big capacity of compensator, so that power converters in electrical vehicle charging stations build main compensator. Interior voltage sags need only small power capacity on mitigation; therefore power converters of distributed generations within Microgrid build main compensators. In this paper the power control strategy is further studied. Microgrid is natural resistant network, which means the magnitude of voltage mainly depending on active power output of compensator. According to these features, the power control strategies of P-V droop is applied on voltage sag mitigation. The strategy proposed in this paper is approved to be effective by simulation test result.","PeriodicalId":206094,"journal":{"name":"2010 5th International Conference on Critical Infrastructure (CRIS)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132564044","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

Transient electromagnetic wave analysis method based on complex domain projection 基于复域投影的瞬变电磁波分析方法

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617501

Chao Pan, Zezhong Wang, K. Shang, B. Dong, J. Fang

引用次数: 0

Stochastic parallel algorithm based evaluation of Available Transfer Capability 基于随机并行算法的可用传输能力评估

2010 5th International Conference on Critical Infrastructure (CRIS) Pub Date : 2010-11-01 DOI: 10.1109/CRIS.2010.5617549

Junqiang Wei, Gengyin Li, Ming Zhou, K. Lo

{"title":"Stochastic parallel algorithm based evaluation of Available Transfer Capability","authors":"Junqiang Wei, Gengyin Li, Ming Zhou, K. Lo","doi":"10.1109/CRIS.2010.5617549","DOIUrl":"https://doi.org/10.1109/CRIS.2010.5617549","url":null,"abstract":"In practical power markets, Available Transfer Capability (ATC) is crucial for transmission customers, system operators and power marketers to make a good choice. It is an indication of the expected transfer capability remaining on the transmission network. In order to assure the secure, economic, stable and reliable operation of power systems, the assessment of ATC should be carried out instantly. Most of the existing ATC calculation are mainly focused on AC power systems and based on deterministic techniques. As high performance computing has been extensively used in scientific computation and technology, less work has been done on evaluation of ATC by using parallel algorithm. This paper is dealing with the evaluation of ATC by stochastic parallel algorithm in an AC power system. Due to the stochastic nature of power system behaviors, it is important to assess ATC from a statistical and risk analysis point of view. Considering the dynamics, time-varying and uncertainties of power systems, several statistical indices is presented to evaluate ATC. They are calculated based on Monte Carlo simulation and parallel computing. The system operation states can be simulated by Monte Carlo method, and the parallel algorithm based on MATPOWER (A MATLAB™ Power System Simulation Package) is developed. Case study with an IEEE 30-bus power system is used to verify the presented approach. Five-number summary and other statistical indices of ATC are calculated. The results show that the proposed method can elapse shorter computation time and it is more effective and practical. Some new attractive issues are suggested at the end.","PeriodicalId":206094,"journal":{"name":"2010 5th International Conference on Critical Infrastructure (CRIS)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122969824","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