Unit commitment using adaptive dynamic programming

Author

Momoh, James A. ; Zhang, Yi

Author_Institution

Dept. of Electr. Eng., Howard Univ., Washington, DC

fYear

2005

fDate

6-10 Nov. 2005

Abstract

This paper solves a unit commitment (UC) problem of the interconnected power system. The UC provides an approach to decrease the cost and improve reliability of the network. The UC is a dynamic process, and the generation plan is always changing according to different load and network topology. The problem is solved by ADP which solves the dynamic problem with a two-stage neural network method. One stage is to search the optimal solution and the other stage is to evaluate the solution and obtain the objective function. Finally the UC of one sample power system is solved by ADP method

Keywords

dynamic programming; neural nets; power generation planning; power system interconnection; adaptive dynamic programming; dynamic process; generation plan; interconnected power system; load topology; network reliability improvement; network topology; neural network; optimal solution search; unit commitment; Costs; Dynamic programming; Lagrangian functions; Neural networks; Optimization methods; Power system dynamics; Power system interconnection; Power system reliability; Power systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on

Conference_Location

Arlington, VA

Print_ISBN

1-59975-174-7

Type

conf

DOI

10.1109/ISAP.2005.1599318

Filename

1599318