A simulated annealing algorithm for fuzzy unit commitment problem

Author

Mantawy, A.H. ; Abdel-Magid, Youssef L. ; Abido, M.A.

Author_Institution

Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

1

fYear

1999

fDate

11-16 Apr 1999

Firstpage

142

Abstract

This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. The uncertainties in the load demand and the spinning reserve constraints are formulated in a fuzzy logic frame. The simulated annealing is used to solve the combinatorial part of the unit commitment problem, while the nonlinear part of the problem is solved via a quadratic programming routine. A simple cooling schedule has been implemented to apply the simulated annealing test in the algorithm. Numerical results show the superiority of the solutions obtained compared to the classical methods and the simulated annealing method as individual

Keywords

combinatorial mathematics; fuzzy logic; load (electric); power generation scheduling; simulated annealing; combinatorial problem; fuzzy logic methods; fuzzy unit commitment; load demand uncertainties; nonlinear problem; simulated annealing algorithm; spinning reserve constraints; Cooling; Costs; Economic forecasting; Fuzzy logic; Power generation; Power generation economics; Simulated annealing; Spinning; Testing; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference, 1999 IEEE

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-5515-6

Type

conf

DOI

10.1109/TDC.1999.755330

Filename

755330