Fast Reliability Assessing Method for Distribution Network with Distributed Renewable Energy Generation

2017 International Conference on Advanced Environmental Engineering

生态环境科学

Chen, Fan^1 ; Huang, Shaoxiong^2 ; Ding, Jinjin^1 ; Gao, Bo^1 ; Xie, Yuguang^1 ; Wang, Xiaoming^1

Anhui Electrical Power Research Institute of State Grid, Hefei, China^1

Dispatching Control Center of Anhui Electric Power Company of State Grid, Hefei, China^2

关键词: Beta distributions;    Conventional power;    Distributed renewable energy generations;    Distribution characteristics;    Expected energy not supplied;    Loss of load probabilities (LOLP);    Optimal power flows;    Reliability assessments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/111/1/012036/pdf
DOI  :  10.1088/1755-1315/111/1/012036

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper proposes a fast reliability assessing method for distribution grid with distributed renewable energy generation. First, the Weibull distribution and the Beta distribution are used to describe the probability distribution characteristics of wind speed and solar irradiance respectively, and the models of wind farm, solar park and local load are built for reliability assessment. Then based on power system production cost simulation probability discretization and linearization power flow, a optimal power flow objected with minimum cost of conventional power generation is to be resolved. Thus a reliability assessment for distribution grid is implemented fast and accurately. The Loss Of Load Probability (LOLP) and Expected Energy Not Supplied (EENS) are selected as the reliability index, a simulation for IEEE RBTS BUS6 system in MATLAB indicates that the fast reliability assessing method calculates the reliability index much faster with the accuracy ensured when compared with Monte Carlo method.