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| Hybrid Algorithm for Solution of Transient Stability Constrained Optimal Power Flow |
| Huang Yulong, Liu Mingbo |
| South China University of Technology Guangdong Key Laboratory of Clean Energy Guangzhou 510640 China |
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Abstract The strict stability criterion was established through one-machine infinite bus (OMIB) equivalence, and trajectory sensitivity and differential evolution (DE) techniques were applied to solving transient stability constrained optimal power flow (TSCOPF) problem, in which critical stable rotor angle was used as rotor angle threshold in transient stability constraint and the predicted unstable time was introduced to modify this rotor angle threshold, highly improving the threshold correctness and optimization accuracy. According to OMIB equivalence, faults were classified into stable, extreme stable, generally unstable, and very unstable faults. And extreme stable faults were deleted in transient stability constraints, saving trajectory sensitivity computing accordingly. Furthermore, in order to pursuing fast convergence features of the improved trajectory sensitivity method and global search ability of the DE method, a hybrid algorithm for TSCOPF under multi-contingency condition was formed by the combination of these two methods. Population size and computation burden are greatly decreased in the proposed DE method. The DE fitness value considering normalized stable margin for unstable faults better evaluates the individual’s stability and economic index. Efficiency and practicality of the proposed method are validated on a 3-machine system and a 10-machine test system.
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Received: 04 January 2011
Published: 20 March 2014
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2012, Vol. 27 
