The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 52-247
Full Name: Wen Jiang
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Department of Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road 800, Shanghai 200240
Country: CHINA
Tel:
Tel prefix:
Fax:
E-mail address: clintonjiang@sjtu.edu.cn
Other E-mails:
Title of the Paper: Research on the reliability assessment of composite generation and transmission system based on wind farms
Authors as they appear in the Paper:
Email addresses of all the authors:
Number of paper pages: 10
Abstract: The wind energy will affect the reliability of power system for its randomness and fluctuation if it is added into the power system. In order to evaluate the effect to the reliability of power system with wind farms, the steady state model for the asynchronous generator is established and the wind farms is considered as especial PQ bus during the power flow calculation. Combining with the state models of conventional generating units, transmission lines and transformers, a time-sequential Monte Carlo simulation based wind farm reliability model is established to do the reliability assessment of composite generation and transmission system with wind farm. Meanwhile, an optimal load shedding model is used to decrease the shedding load. Then, a detailed flow diagram of the algorithm is established. The reliability index BIEWG is proposed in this paper, which is used to show the benefit of interrupted expectation from the wind generation. The IEEE-RTS test system is us!
ed to prove the proposed method. The wind speed data come from Shanghai Dong Hai wind farm. A group of reliability indices including EENS (the expected energy not supplied), LOLE (the loss of load expectation) and so on are used to evaluate the reliability of the power system after added the wind farms. The analysis and comparison of the results show that the reliability can be improved clearly after the integration of wind farm.
Keywords: wind farm; sequential Monte Carlo; reliability; optimal load shedding; reliability indices
EXTENSION of the file: .doc
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 202.120.36.196
