2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)最新文献_第7页

Risk-based penalty price determination procedure for transmission constraint relaxations 基于风险的输电约束放松惩罚价格确定程序

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764204

A. Salloum, Yousef M. Al-Abdullah, K. Hedman, V. Vittal

引用次数: 2

Composite generation and transmission system reliability assessment using impact increment-based state enumeration method 基于冲击增量状态枚举法的发电与输电系统综合可靠性评估

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764119

K. Hou, H. Jia, Xiaodan Yu, Yawen Li, Chang Xie, Jianfeng Yan

{"title":"Composite generation and transmission system reliability assessment using impact increment-based state enumeration method","authors":"K. Hou, H. Jia, Xiaodan Yu, Yawen Li, Chang Xie, Jianfeng Yan","doi":"10.1109/PMAPS.2016.7764119","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764119","url":null,"abstract":"An impact increment-based state enumeration (USE) method is designed to assess reliability of composite generation and transmission systems. The reliability index calculation formula of the traditional state enumeration technique is transformed into an impact increment-based formation. Based on the derived equation, the traditional state enumeration method is modified into an impact increment based one. With the proposed method, calculation of state probability are effectively simplified, and reliability indices of high accuracy can be obtained with only low order contingency states. When it is applied to composite systems, load fluctuation can also be considered by replacing impact increments with their expectations under various load levels. Case studies are performed on the RBTS system and the RTS-79 system. Results indicate that annual reliability indices can be efficiently obtained with the USE method. Comparing with traditional state enumeration and Monte Carlo simulation methods, the proposed method is more precise and efficient.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128404546","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

Stochastic generator availability modeling on very large transmission network systems 超大输电网系统随机发电机可用性建模

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764170

Brandon Heath, John Lawhorn

引用次数: 1

House events matrix for shutdown probabilistic safety assessment 用于关机概率安全评估的房屋事件矩阵

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764191

M. Čepin

{"title":"House events matrix for shutdown probabilistic safety assessment","authors":"M. Čepin","doi":"10.1109/PMAPS.2016.7764191","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764191","url":null,"abstract":"Probabilistic safety assessment is one of the standardized ways of assessing safety of nuclear power plants. The objective of the method is to present an extension of the fault tree in order to reduce the size of the shutdown probabilistic safety assessment model. The shutdown probabilistic safety assessment method is developed. The modelling for all plant operating states include consideration of 15 states, which were determined as appropriate representations of much more plant configurations in addition to the plant full power operation. For dealing with the complexity of the models and manageable size of the models for the sensitivity studies it is essential that the models optimizations are performed. House events matrix plays an important role as it reduces the number of the fault trees significantly. The results include the time dependent representation of the core damage frequency contributions weighted for their plant operating state durations over total duration of the shutdown timely through the whole shutdown. The risk of the plant during shutdown is smaller in general than in full power operation, however for certain specific plants and their specific plant operating states the risk for a short duration of time may increase beyond the risk of full steady state power operation.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127584294","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

Impact of network topology optimization on power system reliability 网络拓扑优化对电力系统可靠性的影响

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764177

Yingmeng Xiang, Lingfeng Wang, Ruosong Xiao, K. Xie

引用次数: 6

Reliability evaluation in power distribution system planning studies 配电系统规划中的可靠性评估研究

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764220

Saeed Heidari, M. Fotuhi‐Firuzabad

引用次数: 12

Applying high performance computing to probabilistic convex optimal power flow 应用高性能计算求解概率凸最优潮流

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764116

Zhao Yuan, M. Hesamzadeh, Yue Cui, Lina Bertling Tjernberg

{"title":"Applying high performance computing to probabilistic convex optimal power flow","authors":"Zhao Yuan, M. Hesamzadeh, Yue Cui, Lina Bertling Tjernberg","doi":"10.1109/PMAPS.2016.7764116","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764116","url":null,"abstract":"The issue of applying high performance computing (HPC) techniques to computation-intensive probabilistic optimal power flow has not been well discussed in literature. In this paper, the probabilistic convex AC OPF based on second order cone programming (P-SOCPF) is formulated. The application of P-SOCPF is demonstrated by accounting uncertainties of loads. To estimate the distributions of nodal prices calculated from P-SOCPF, two point estimation method (2PEM) is deployed. By comparing with Monte Carlo (MC) method, the accuracy of 2PEM is proved numerically. The computation efficiency of 2PEM outperforms MC significantly. In the context of large scale estimation, we propose to apply high performance computing (HPC) to P-SOCPF. The HPC accelerated P-SOCPF is implemented in GAMS grid computing environment. A flexible parallel management algorithm is designed to assign execution threads to different CPUs and then collect completed solutions. Numerical results from IEEE 118-bus and modified 1354pegase case network demonstrate that grid computing is effective means to speed up large scale P-SOCPF computation. The speed up of P-SOCPF computation is approximately equal to the number of cores in the computation node.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125882497","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

Synchrophasor data availability analyzer 同步相量数据可用性分析仪

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764090

Phanuwat Phunkasem, W. Wangdee, Bo Sriraphanth, B. Tanboonjit

{"title":"Synchrophasor data availability analyzer","authors":"Phanuwat Phunkasem, W. Wangdee, Bo Sriraphanth, B. Tanboonjit","doi":"10.1109/PMAPS.2016.7764090","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764090","url":null,"abstract":"Wide-area monitoring system (WAMS) is emerging technologies that utilize phasor measurement units (PMUs) combined with highly accurate time synchronization to deliver the time-synchronized phasor data known as “synchrophasor”. To enable more extensive applications from WAMS, an excellent synchrophasor data availability level is a must-have. In this paper, a developed software application tool for analyzing data availability and classifying causes of unavailable data is presented. The developed software tool demonstration has been done by using the actual synchrophasor data retrieved from WAMS currently installed for Thailand power grid. The synchrophasor data analysis results based on one-month and daily availability statistics are shown using visualization charts. The results indicate that the current data availability from WAMS, on average, may not yet reach the excellent level that is adequately suitable for real-time control and protection applications. The data analysis results obtained from the developed software tool can provide insightful information to guide what the data problems might be, so that appropriate corrective actions can be implemented to improve the data availability.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127103702","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

Time-of-use pricing in retail electricity market: Step tariff vs. usage-based schemes 零售电力市场的分时电价:阶梯电价与基于使用的电价方案

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764129

Yanglin Zhou, Feng Gao, S. Ci, Yang Yang, Yuemei Xu

引用次数: 5

Data completing of missing wind power data based on adaptive BP neural network 基于自适应BP神经网络的风电数据缺失补全

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764057

Y. Mao, Ma Jian

引用次数: 10