DocumentCode :
1701010
Title :
Reliability evaluation for distribution system considering the correlation of wind turbines
Author :
An Jing ; Yang Jingyan
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Volume :
3
fYear :
2011
Firstpage :
2110
Lastpage :
2113
Abstract :
With the development of economy and industry, increasing demand for electric energy and reserves shortage of non-renewable energy become contradictory focus. Meanwhile, climatic problems like global warming are becoming increasingly prominent. Developing new energy sources to replace conventional ones, becomes the best solution of energy and climatic problems. Wind energy is recognized as an ideal renewable energy form due to its merits such as extensive distribution, low cost and mature technology. This paper introduces a reliability evaluation method for distribution system containing wind turbines as distributed generation. Firstly, we sample wind speed per hour by a fitting function of distribution. Then, piecewise function is used to calculate output of each unit. This method takes random energy output of wind power generator into account. By using time varying output and load model, we can simulate the actual situation of distribution system. Also, correlation of wind turbines is introduced into the evaluation. We use correction matrix to modify obtained wind speed sequence. By this correction, the sampled wind speeds of different units could avoid having great differences. This paper use RBTS system to test the method mentioned above. Result shows that because wind sequence reaches median of the vector after correction, system reliability indices have deteriorated.
Keywords :
distributed power generation; power distribution reliability; power generation reliability; wind power; wind turbines; RBTS system; climatic problem; correction matrix; distributed generation; distribution system reliability evaluation method; electric energy demand; fitting function; load model; nonrenewable energy; piecewise function; random energy output; renewable energy; wind energy; wind power generator; wind speed sequence; wind turbine; Analytical models; Computers; Educational institutions; Helium; Predictive models; Reliability; Wind forecasting; correlation of wind speed; distributed generation; distribution reliability; time varying model; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Power System Automation and Protection (APAP), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9622-8
Type :
conf
DOI :
10.1109/APAP.2011.6180693
Filename :
6180693
Link To Document :
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