Multi-period probabilistic-scenario risk assessment of power system in wind power uncertain environment

2016 ◽  
Vol 10 (2) ◽  
pp. 359-365 ◽  
Author(s):  
Weisi Deng ◽  
XiangNing Lin ◽  
Hongfa Ding ◽  
Pei Bie ◽  
Jiasi Wu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Power System ◽  
Wind Power ◽  
Uncertain Environment

scholarly journals Risk Assessment for Power System Operation Planning With High Wind Power Penetration

2015 ◽  
Vol 30 (3) ◽  
pp. 1359-1368 ◽  
Author(s):  
Michael Negnevitsky ◽  
Dinh Hieu Nguyen ◽  
Marian Piekutowski
Keyword(s):  
Risk Assessment ◽  
Power System ◽  
Wind Power ◽  
Operation Planning ◽  
High Wind ◽  
System Operation ◽  
Power System Operation

scholarly journals An Integrated LHS–CD Approach for Power System Security Risk Assessment with Consideration of Source–Network and Load Uncertainties

Processes ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 900
Author(s):  
Shiwei Xia ◽  
Liangyun Song ◽  
Yi Wu ◽  
Zhoujun Ma ◽  
Jiangping Jing ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Power System ◽  
Transmission Line ◽  
Wind Power ◽  
Thermal Power ◽  
System Security ◽  
Security Risk ◽  
Power System Security ◽  
Network Load ◽  
Security Risk Assessment

Large-scale wind power integrated into power grids brings serious uncertainties and risks for power system safe operation, and it is imperative to evaluate power system security risk pertinent to high-level of uncertainties. In this paper, a comprehensive source–network–load probabilistic model, representing the typical uncertainties penetrated in power generation transmission consumption portion, is firstly set for power system operation. Afterwards an integrated LHS–CD approach based on the Latin hypercube sampling (LHS) and Cholesky decomposition (CD) is tailored to effectively conduct the security risk assessment, in which the LHS is utilized to stratified sample the uncertainties of wind power and thermal power, transmission line outage, and load demands, while the CD part is adopted to address the correlations of uncertainties by rearranging the sampled matrix generated by LHS. Moreover, static voltage risk and transmission line overloaded risk index are properly defined for quantitatively evaluating power system operational security risk. Simulation results of a modified New England 39-bus system confirm that the proposed integrated LHS–CD approach is effective and efficient for power system security risk assessment with consideration of source–network–load demand uncertainties.

scholarly journals Wind Power System Risk Assessment Based on Fuzzy Clustering and Copula Function Modeling

2017 ◽  
Vol 09 (04) ◽  
pp. 352-364 ◽  
Author(s):  
Mingshun Liu ◽  
Lijin Zhao ◽  
Liang Huang ◽  
Wenhao Han ◽  
Changhong Deng ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Power System ◽  
Wind Power ◽  
Fuzzy Clustering ◽  
Copula Function ◽  
System Risk ◽  
Wind Power System

scholarly journals Online Operation Risk Assessment of the Wind Power System of the Convolution Neural Network (CNN) Considering Multiple Random Factors

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 464
Author(s):  
Qingwu Gong ◽  
Si Tan ◽  
Yubo Wang ◽  
Dong Liu ◽  
Hui Qiao ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Power System ◽  
Wind Power ◽  
Convolution Neural Network ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Online Application ◽  
Wind Power System ◽  
Operation Risk

In order to solve the problem of the inaccuracy of the traditional online operation risk assessment model based on a physical mechanism and the inability to adapt to the actual operation of massive online operation monitoring data, this paper proposes an online operation risk assessment of the wind power system of the convolution neural network (CNN) considering multiple random factors. This paper analyzes multiple random factors of the wind power system, including uncertain wind power output, load fluctuations, frequent changes in operation patterns, and the electrical equipment failure rate, and generates the sample data based on multi-random factors. It uses the CNN algorithm network, offline training to obtain the risk assessment model, and online application to obtain the real-time online operation risk state of the wind power system. Finally, the online operation risk assessment model is verified by simulation using the standard network of 39 nodes of 10 machines New England system. The results prove that the risk assessment model presented in this paper is more rapid and suitable for online application.

Risk Assessment of Power System with Wind Farm Considering Weather Impacts

2014 ◽  
Vol 1070-1072 ◽  
pp. 336-342
Author(s):  
Dun Lin ◽  
Jian Hua Zhang ◽  
Hai Nan Li ◽  
Meng He
Keyword(s):  
Risk Assessment ◽  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Wind Farm ◽  
Assessment Methods ◽  
Actual System ◽  
Component Reliability ◽  
Pass Through ◽  
Weather Impacts

A method of risk assessment considering weather impacts was proposed for power system with wind power. Firstly, the mechanism of the weather affecting the risk of power system is analyzed, and then the component reliability model based on weather was illustrated. The transmission line model takes into account of the situation that the line may pass through a variety of climatic zones. Secondly, combine the above-mentioned model with the existing risk assessment methods, a new method was obtained. By using of the modified IEEE-RTS79 system with wind power, the feasibility and reasonableness of the proposed model and approach are verified. The results show that it is necessary to consider weather especially when the system is integrated with large-scale wind power or the system passes through zones with particularly higher probability of bad weather. Compared with the existing risk assessment methods, the proposed method is more in line with the actual system, and the assessment results are more reasonable.

Transient Operation Risk Assessment of Power System with Wind Farm Integration Based on Dynamic Security Region

2015 ◽  
Vol 1092-1093 ◽  
pp. 122-126 ◽  
Author(s):  
Wen Feng Zhu ◽  
Yuan Zeng ◽  
Chao Qin ◽  
Xiao Fei Li ◽  
De Wei Liu
Keyword(s):  
Risk Assessment ◽  
Power System ◽  
Wind Power ◽  
Wind Farm ◽  
Risk Index ◽  
System Structure ◽  
Integrated Analysis ◽  
Dynamic Security ◽  
Security Region ◽  
Dynamic Security Region

With continuous expansion of the grid, the power system structure is becoming more complicated, leading to more and more uncertainty of the system. Especially, the massive integration of wind power and other renewable energy to the grid brings more challenges. In this paper, by taking use of DSR (dynamic security region) and risk assessment theory, it proposed the transient risk index calculation and integrated analysis method for wind power integration system, which was able to give quantitative indicators of the system day-ahead scheduling plan. The efficiency and practicality of theories mentioned herein were verified by standard numerical examples.

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