Title :
Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach
Author :
Yousef, Hassan A. ; AL-Kharusi, Khalfan ; Albadi, M.H. ; Hosseinzadeh, Nasser
Author_Institution :
Dept. of Electr. & Comput. Eng., Sultan Qaboos Univ., Muscat, Oman
Abstract :
In this paper, a new load frequency control (LFC) for multi-area power systems is developed based on the direct-indirect adaptive fuzzy control technique. LFCs for each area are designed based on availability of frequency deviation of each area and tie-line power deviation between areas. The fuzzy logic system approximation capabilities are exploited to develop suitable adaptive control law and parameter update algorithms for unknown interconnected LFC areas. An H∞ tracking performance criterion is introduced to minimize the approximation errors and the external disturbance effects. The proposed controller guarantees stability of the overall closed-loop system. Simulation results for a real three-area power system prove the effectiveness of the proposed LFC and show its superiority over a classical PID controller and a type-2 fuzzy controller.
Keywords :
H∞ control; adaptive control; frequency control; fuzzy control; load regulation; H∞ tracking performance criterion; PID controller; adaptive fuzzy logic approach; approximation error minimization; closed-loop system; direct-indirect adaptive fuzzy control technique; load frequency control; multiarea power system; three-area power system; tie-line power deviation; type-2 fuzzy controller; unknown interconnected LFC areas; Adaptive systems; Approximation methods; Frequency control; Fuzzy logic; Power system stability; Turbines; Vectors; Adaptive control; GDB; GRC; adaptive fuzzy control; fuzzy approximation; load frequency control (LFC); multi-area;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2297432