The radar multiplier method: Generalized unit commitment by the radar multiplier method,Used

The radar multiplier method: Generalized unit commitment by the radar multiplier method,Used

In Stock
SKU: DADAX3838318323
Brand: LAP Lambert Academic Publishing
$130.38 $186.26
Save $55.88
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

The objective of this book is to efficiently solve the Generalized Unit Commitment (GUC) problem by means of the radar multiplier method.The GUC problem generalizes the Unit Commitment (UC) problem by simultaneously solving the associated Optimal Power Flow (OPF) problem.There are many approaches to solve the UC and OPF problems separately, but approaches to solve them jointly, i.e to solve the GUC problem, are quite scarce. On the other hand, a new solution methodology for nonlinear integer programming, the radar multiplier method, is designed and tested in the GUC framework. Three independent matters are studied: First, the auxiliary problem principle method, used to treat the non separable augmented Lagrangian, is compared with the block coordinate descent method from both theoretical and practical points of view. Second, the radar subgradient method, a new Lagrange multiplier updating method, is proposed and computationally compared with the classical subgradient method.Third, we study the local character of the optimizers computed by the augmented Lagrangian relaxation method when solving the GUC problem. The author is grateful to professor F. J. Heredia for his support.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed