Assessment of Wind Power Integrated to the Power Systems Using Probabilistic Load Flow Based on PFV with LS

2018 2nd International Conference on Environmental and Energy Engineering

生态环境科学;能源学

Mohammed, E.^1 ; Yu, J.^1 ; Wang, S.^1 ; Peng, L.^1

School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin

150001, China^1

关键词: Analytical method;    High speed sampling;    Mathematical equations;    Pattern features;    Power flow analysis;    Power system analysis;    Probabilistic load flow;    Static security assessment;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/146/1/012034/pdf
DOI  :  10.1088/1755-1315/146/1/012034

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Power flow analysis (PFA) is one of the most important issues of power system analysis and design. This paper aims at developing and applying a high-speed sampling method to produce large-capacity sample set based on pattern feature vector with layer structure (PFV with LS) of IEEE 14-bus system data analytical methods. In this study, sampling based pattern vectors are constructed in three layers. The first and second layer vectors are very low dimensional, and the sampling of the third layer is in parallel for each local area. Samples generated by this sampling method can be applied to the calculation of probabilistic load flow (PLF) and probabilistic static security assessment. Simulation results show that the proposed method can improve efficiency of PLF analysis and probabilistic static security assessment. The advantages of using PLF based on PFV with LS as the power flow limit can minimize the complicated mathematical equations. Furthermore, the algorithm is very simple and accurate, especially when the system connected to the wind power.