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Load frequency control of a multi‐area system incorporating distributed generation resources, gate controlled series capacitor along with high‐voltage direct current link using hybrid ALO‐pattern search optimised fractional order controller
Author(s) -
Raju More,
Saikia Lalit Chandra,
Sinha Nidul
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2018.5010
Subject(s) - pid controller , control theory (sociology) , controller (irrigation) , automatic frequency control , capacitor , engineering , voltage , computer science , control engineering , temperature control , electrical engineering , agronomy , control (management) , artificial intelligence , biology
The power output from the wind turbine in distributed generation (DG) resources is intermittent in nature, which adversely affects the system frequency in an interconnected system. Hence, it is important to study the system dynamic performance when DG resources are connected to the existing power system. This study presents the load frequency control of the three‐area thermal–thermal–hydro system with DG resources in area 1. Proportional integral fractional derivative (PID μ ) controller is proposed as a secondary controller. System dynamics are compared among integral, proportional integral (PI), PI derivative (PID), fractional order PID (PI λ D µ ) and PID μ controllers whose parameters are optimised simultaneously using nature inspired ant lion optimiser (ALO) technique. The analysis shows the competitive performance of PI λ D µ and PID μ controllers. Furthermore, the PID μ controller parameters are optimised using hybrid ALO‐pattern search technique, which outperforms the ALO optimised PID μ controller. A flexible AC transmission system device called gate controlled series capacitor performs better than an interline power flow controller. The studies show that the gate controlled series capacitor placed in all lines is its optimal location. The system dynamics are improved considerably with the incorporation of high voltage direct current link, the transient droop of the hydro governor. The PID µ controller effectively handles the parametric variations, random load and wind power profiles.

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