The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 89-522
Full Name: Thanatchai Kulworawanichpong
Position: Associate Professor
Age: ON
Sex: Male
Address: 111 University Avenue, Nakhon Ratchasima
Country: THAILAND
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E-mail address: thanatchai@gmail.com
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Title of the Paper: Application of Genetic Algorithms for Optimal Reactive Power Planning of Doubly Fed Induction Generators
Authors as they appear in the Paper: Pramual Sangsarawut, Anant Oonsivilai, Thanatchai Kulworawanichpong
Email addresses of all the authors: powerjoe2000@hotmail.com, thanatchai@gmail.com
Number of paper pages: 12
Abstract: This paper describes optimal reactive power control of a doubly fed induction generator (DFIG), which is widely used in a distributed generating plant. Although its structure is similar to that of induction motors, its reactive power control is more complicated. In this paper, steady-state power transfer equations are derived and developed for a doubly fed structure of the induction generators. When a distributed power plant equipped with DFIGs is connected to a regional power grid, reactive power injection from the plant results in distribution system performances, e.g. voltage drop, power losses, etc. By using genetic algorithms, optimal reactive power injection can be achieved in order to minimize total power loss in power distribution systems. The 37-node IEEE standard test feeder is used to evaluate its performances. As a result, optimal reactive power control of DFIGs can reduce total power losses and also improve voltage profiles in power distribution system!
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Keywords: Optimal reactive power planning, doubly fed induction generator, optimization, genetic algorithms
EXTENSION of the file: .pdf
Special (Invited) Session: Optimal Reactive Power Planning of Doubly Fed Induction Generators Using Genetic Algorithms
Organizer of the Session: 640-669
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IP ADDRESS: 203.158.4.65
