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A new supervised genetic learning control for maintaining voltage profiles after an emergency in power systems is proposed in this study. Search efficiency is improved after introducing system knowledge into the search process of genetic learning. The optimization of the coordinated voltage control is considered a multi-objective optimal problem. Thus, a set of effective controls can be found, and...
Adaptive coordinated voltage control provides coordination of various devices within a wide area and adapts to the changing dynamics of power systems subjected to a series of faults. A new adaptive control is proposed for coordinated voltage control in this paper. The off-line training and on-line learning is used to acquire system knowledge. Accompanied by the system knowledge stored in a long-term...
An intelligent voltage control (IVC) system is proposed in this paper. Accompanied with training and learning capabilities, this system can realized a fast and efficient voltage control after an emergency happens in a power system.
A genetic learning scheme is proposed for coordinated voltage control (CVC). This leaning control combines GA with a long term memory. The optimal search of GA can refine the knowledge in memory. At the same time, stored knowledge can be exploited to improve the search of GA. This learning strategy provides a fast voltage control and the control performance can be improved gradually.
A new methodology for obtaining the optimal power flow with transient stability constraints is proposed in this paper. The main algorithm decomposes the problem into conventional optimal power flow and optimal control sub-problems, which are solved independently. In the process of optimal control, the transient stability index expressed by semi-infinite dimension constraints is converted into two...
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