2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)最新文献_第4页

Probabilistic analysis for low voltage ride through test data of doubly fed induction generators in China 利用国内双馈感应发电机试验数据进行低压行驶的概率分析

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764084

Can. Chen, Pengfei Cao, Chen Shen, Linlin Wu, C. Singh

引用次数: 0

A stochastic production simulation model for renewable integration and system flexibility studies 基于可再生能源集成和系统柔性研究的随机生产仿真模型

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764099

Shucheng Liu, Wenxiong Huang, Yi Zhang

引用次数: 0

Optimal selection of high voltage transmission connected to island systems 孤岛系统高压输电的优化选择

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764127

Xiaoxi Li, Xin Zhang, Yunting Song, Wei Tang, Yinshun Wang, Jingjing Wang, Xiaofei Hu, Cheng Yang

引用次数: 0

The anomalous data identification study of reactive power optimization system based on big data 基于大数据的无功优化系统异常数据识别研究

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764169

Sheng Wanxing, Liu Keyan, Niu Huanna, W. Yuzhu, Zhao Jingxiang

引用次数: 11

Power line online fault warning method based on operational reliability and decision tree 基于运行可靠性和决策树的电力线在线故障预警方法

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764141

Cheng Tao, Chen Lei, Xu Fei, Dai Yuanhang

引用次数: 0

Optimal configuration of user side integrated energy system based on chance constrained programming 基于机会约束规划的用户侧综合能源系统优化配置

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764115

Chenxia Jia, Muke Bai, Chao Zhang, Jing Zhou, Gongbo Liu, Sheng Xu, Wei Tang, Cong Wu, Chenjun Sun

{"title":"Optimal configuration of user side integrated energy system based on chance constrained programming","authors":"Chenxia Jia, Muke Bai, Chao Zhang, Jing Zhou, Gongbo Liu, Sheng Xu, Wei Tang, Cong Wu, Chenjun Sun","doi":"10.1109/PMAPS.2016.7764115","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764115","url":null,"abstract":"A user side integrated energy system (USIES) can supply energy in accordance with user demand, in order to make full use of terminal energy conditions, improve energy efficiency, and promote consumption of local renewable energy. A bi-level programming model of USIES multi-objective coordinated planning is developed based on the chance constrained programming. Multi-state models of wind turbine (WT), photovoltaic (PV) generation and load are established respectively according to probability density functions. Then a multi-state model of the IES can be proposed. Considering economic, energy influences, environmental protection and other factors, a configuration model of USIES based on bi-level programming is established, including WT, PV, micro gas turbine and gas boiler. Annual costs is minimized in the upper level objective function in order to accomplish configuration of distributed energy sources. The optimal scheduling of micro turbine is considered in the lower level, in which objective functions include the cost of USIES losses. The elitist strategy genetic algorithm and particle swarm optimization are applied for solving the planning model. A case of USIES planning, which used is in a residential and commercial areas in the North China, verifies the effectiveness of the proposed model and method. The simulation results show that the multi-state model can simplify the difficulty of model calculation. The USIES planning based on the chance constrained programming can adequately consider the uncertainty of USIES. Under a certain confidence level, the optimal investment with the corresponding probability of the confidence level is obtained.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"22 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":"131618297","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

Power system risk assessment method based on dynamic power flow 基于动态潮流的电力系统风险评估方法

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764154

Ye Xiaohui, Zhong Wuzhi, Song Xinli, Cheng Lin

引用次数: 3

Impacts of transient instability on power system reliability 暂态不稳定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.2016.7764194

M. Benidris, J. Mitra, C. Singh

{"title":"Impacts of transient instability on power system reliability","authors":"M. Benidris, J. Mitra, C. Singh","doi":"10.1109/PMAPS.2016.7764194","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764194","url":null,"abstract":"This paper addresses the effects of transient instability on power system reliability. Composite system reliability evaluation has been performed based on steady-state estimation of load curtailments. In composite reliability evaluation, after each contingency, faulted components are assumed to be isolated from the rest of the system immediately and the system is assumed to return to a stable state with proper generation rescheduling for minimum load curtailments. In this context, minimum load curtailments are usually performed by solving linear/non-linear programming optimization problems. Although the optimization problem with minimum load curtailment may find a steady-state feasible solution, a stable transition to a post-fault stable equilibrium point is not guaranteed. In this paper, three probabilistic transient stability indices are proposed to assess system robustness against transient contingencies and update the reliability indices. Transient stability direct methods are used in assessing system stability and determining the probabilistic stability indices. This method is applied on the reduced WECC (Western Electricity Coordinating Council) system and the results showed that the effect of transient instability should not be ignored.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"44 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":"133058735","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

Application of non-intrusive polynomial chaos expansion in probabilistic power flow with truncated random variables 非侵入多项式混沌展开在截断随机变量概率潮流中的应用

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764175

F. Ni, Phuong H. Nguyen, J.F.G. Cobben, Junjie Tang

{"title":"Application of non-intrusive polynomial chaos expansion in probabilistic power flow with truncated random variables","authors":"F. Ni, Phuong H. Nguyen, J.F.G. Cobben, Junjie Tang","doi":"10.1109/PMAPS.2016.7764175","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764175","url":null,"abstract":"In this paper, the authors apply a surrogate model-based method for probabilistic power flow (PPF) in the power system subject to truncated random variables. Due to a growing number of uncertainty sources are being brought into the modern power system, the traditional deterministic power flow analysis lacks its ability to recognize the realistic states of power systems, and thus turns to PPF for help. However, the PPF analysis is still facing several challenges: the computational effort required by the traditional simulation method is prohibitively expensive; and the modeling of uncertainty sources needs the improvement on both distribution type selection and parameter evaluation. The novelty of this work lies in taking advantage of both general polynomial chaos (gPC) expansion and ordinary least squares (OLS) to deal with PPF in presence of the truncated random variables. The performance of the proposed method is verified on the IEEE 30-Bus test system, considering uncertain factors brought by active power at load buses. In different test scenarios, the proposed method shows sound performances at the cost of less computational effort, compared to the traditional approach.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"30 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":"133064099","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

Modeling impacts of PM 2.5 concentration on PV power outputs 模拟pm2.5浓度对光伏发电输出的影响

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI: 10.1109/PMAPS.2016.7764097

Chi Zhang, Wenyuan Li, Juan Yu, Ruilin Xu

引用次数: 4