Title :
Application of self-tuning FPIC to AGC for Load Frequency Control in wind farm interconnected large power system
Author :
Sheikh, M.R.I. ; Mondol, N.
Author_Institution :
EEE Dept., Rajshahi Univ. of Eng. & Technol., Rajshahi, Bangladesh
Abstract :
In this paper, the influence of a Superconducting Magnetic Energy Storage (SMES) unit on the performance of the Automatic Generation Control (AGC) is investigated. In which, the self-tuning Fuzzy PI Controller (FPIC) associated with the Automatic Generation Control (AGC) is proposed for the improvement of Load Frequency Control (LFC) in wind farm integrated large power system consisting of thermal and hydro power plants. The effects of the self-tuning FPIC in AGC on SMES control is compared with that of optimized fixed gain PI controlled AGC. The computer simulation of the two-area interconnected power system shows that the self-tuning fuzzy PI control scheme of AGC is very effective for SMES control to damp out of the oscillations caused by load disturbances in one or both of the areas and it is also seen that the proposed controlled AGC including SMES performs more effective primary frequency control compared to optimized fixed gain PI controlled AGC including SMES.
Keywords :
adaptive control; frequency control; load regulation; power generation control; power system interconnection; self-adjusting systems; wind power plants; AGC; LFC; SMES control unit; automatic generation control; computer simulation; hydro power plants; load frequency control; oscillations; self-tuning FPIC; self-tuning fuzzy PI controller; superconducting magnetic energy storage unit; thermal power plants; two-area interconnected power system; wind farm interconnected large power system; Engines; Fuzzy logic; Generators; Magnetic separation; Niobium; Superconducting magnetic energy storage; Automatic generation control; area control error (ACE); load frequency control; multi-area power system; superconducting magnetic energy storage (SMES) unit;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
DOI :
10.1109/ICIEV.2012.6317408