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Optimal generation rescheduling with sensitivity-based transient stability constraints
by
Sun, W.
, Xue, Z.Y.
, Fang, D.Z.
in
Applied sciences
/ Disturbances. Regulation. Protection
/ Electric power plants
/ Electrical engineering. Electrical power engineering
/ Electrical power engineering
/ Exact sciences and technology
/ Generators
/ High voltage or high current generators
/ Iterative methods
/ Mapping
/ Mathematical models
/ Miscellaneous
/ Norms
/ Optimization
/ Power networks and lines
/ Rescheduling
/ Transient stability
/ Various equipment and components
2010
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Optimal generation rescheduling with sensitivity-based transient stability constraints
by
Sun, W.
, Xue, Z.Y.
, Fang, D.Z.
in
Applied sciences
/ Disturbances. Regulation. Protection
/ Electric power plants
/ Electrical engineering. Electrical power engineering
/ Electrical power engineering
/ Exact sciences and technology
/ Generators
/ High voltage or high current generators
/ Iterative methods
/ Mapping
/ Mathematical models
/ Miscellaneous
/ Norms
/ Optimization
/ Power networks and lines
/ Rescheduling
/ Transient stability
/ Various equipment and components
2010
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Do you wish to request the book?
Optimal generation rescheduling with sensitivity-based transient stability constraints
by
Sun, W.
, Xue, Z.Y.
, Fang, D.Z.
in
Applied sciences
/ Disturbances. Regulation. Protection
/ Electric power plants
/ Electrical engineering. Electrical power engineering
/ Electrical power engineering
/ Exact sciences and technology
/ Generators
/ High voltage or high current generators
/ Iterative methods
/ Mapping
/ Mathematical models
/ Miscellaneous
/ Norms
/ Optimization
/ Power networks and lines
/ Rescheduling
/ Transient stability
/ Various equipment and components
2010
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Optimal generation rescheduling with sensitivity-based transient stability constraints
Journal Article
Optimal generation rescheduling with sensitivity-based transient stability constraints
2010
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Overview
A new generation rescheduling model is proposed for transient stability enhancement of power systems, which can optimally reallocate power generations for eliminating potential transient stability threat. The idea of angle norm has been introduced to develop a sensitivity-based transient stability constraints of the rescheduling model. The trajectory sensitivity mapping technique is studied to evaluate the sensitivity factor of the angle norm at maximum swing angle to the power input of generators. The augmented Lagrangian method is employed to solve the rescheduling problem in an iteration manner. Case studies on the IEEE 50-generator test power system are reported to verify the effectiveness of the proposed generation rescheduling method.
Publisher
Institution of Engineering and Technology,The Institution of Engineering & Technology
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