Improving Lagrangian relaxation: an application to the scheduling of pressurized water reactor outages

Author

Fourcade, Fabrice ; Eve, Thierry ; Socroun, Thierry

Author_Institution

R&D Div., Electr. de France, Clamart, France

Volume

12

Issue

2

fYear

1997

fDate

5/1/1997 12:00:00 AM

Firstpage

919

Lastpage

925

Abstract

This paper presents an improvement of Lagrangian relaxation techniques that are now widely used for optimizing the operational planning of power systems. It is a precise algorithm for maximizing the concave and nondifferentiable dual function: a proximal point algorithm. This algorithm is applied to an important operational planning problem: the scheduling of pressurized water reactor nuclear power plant outages. Compared to the more classical Uzawa algorithm, numerical examples show that the proximal algorithm significantly improves both the solutions and the indicators of their quality

Keywords

maintenance engineering; nuclear power stations; power system planning; scheduling; Lagrangian relaxation; PWR nuclear power plant outages scheduling; concave nondifferentiable dual function; power systems operational planning; proximal point algorithm; Ear; Energy management; Inductors; Lagrangian functions; Large-scale systems; Power generation; Power system management; Power system planning; Research and development; Scheduling algorithm;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.589770

Filename

589770