Fuzzy dynamic programming for robust direct load control

Author

Huang, ICY ; Yang, H.-T. ; Liao, C.C. ; Ching-Lien Huang

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

2

fYear

1998

fDate

3-5 Mar 1998

Firstpage

564

Abstract

This paper develops a fuzzy dynamic programming (FDP) approach to solving the direct load control (DLC) problem of power system air conditioner loads (ACLs). The interrupted 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 the FDP structure to reduce the system peak load as well as the total operating costs, The solution approach has been practically tested on the Taiwan power 38-unit system with 15 ACLs 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 given 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 system control; robust control; Monte-Carlo simulation technique; Taiwan; control design; control simulation; fuzzy dynamic programming; fuzzy variables; load uncertainties; peak load; power system air conditioner loads; robust direct load control; total operating costs; unit commitment; Costs; Dynamic programming; Fuzzy control; Fuzzy systems; Load flow control; Power system control; Power system dynamics; Power systems; Robust control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Management and Power Delivery, 1998. Proceedings of EMPD '98. 1998 International Conference on

Print_ISBN

0-7803-4495-2

Type

conf

DOI

10.1109/EMPD.1998.702747

Filename

702747