Direct load control using fuzzy dynamic programming

Author

Yang, H.-T. ; Huang, K.-Y.

Author_Institution

Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan

Volume

146

Issue

3

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

294

Lastpage

300

Abstract

The paper develops a fuzzy dynamic programming (FDP) approach to solving the direct load control (DLC) problem of large air conditioner loads (ACLs). In the formulation, the cycling capacities of the ACLs and the system load demands are all regarded as fuzzy variables. The scheduling of the DLC and the unit commitment (UC) is integrated into an FDP structure to reduce the system peak loads as well as the system operation costs. The solution approach has been tested on the data for the Taiwan Power (Taipower) 38-unit system with 15 ACL groups. In the tests, the Monte-Carlo simulation technique is employed to assess the robustness of the solution obtained from the proposed FDP approach for various load uncertainties. The results are presented and compared to those without consideration of the load uncertainties

Keywords

Monte Carlo methods; air conditioning; control system analysis; control system synthesis; dynamic programming; fuzzy control; load regulation; optimal control; power consumption; power system control; Monte-Carlo simulation; air conditioner loads; cycling capacities; direct load control; fuzzy dynamic programming; fuzzy variables; load demands; load uncertainties; power systems; robustness; scheduling; unit commitment;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings-

Publisher

iet

ISSN

1350-2360

Type

jour

DOI

10.1049/ip-gtd:19990317

Filename

790575