Affiliations: Department of Electrical Engineering, Shadegan Branch, Islamic Azad University, Shadegan, Iran
Correspondence:
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Corresponding author. Ali Darvish Falehi, Department of Electrical Engineering, Shadegan Branch,Islamic Azad University, Shadegan, Iran. E-mail: [email protected].
Abstract: The prominent responsibility of Automatic Generation Control (AGC) is controlling the interchange power flow deviations toward suppression of both the frequency and tie-line power deviation during the disturbance occurrence in the interconnected multi-area power system. To appropriately deliver an electric power with high quality, AGC system needs to be equipped with an efficient and intelligent controller. In this regard, Fractional Order Fuzzy-PID (FOFPID) is proposed for AGC system to enhance the dynamic stability of multi-area interconnected power system. Due to multi-objective nature and importance of the design problem, the parameters of FOFPID controller have been optimally tuned by two multi-objective optimization algorithms i.e., Multi-Objective Dragonfly Algorithm (MODA) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). The damping performance of self-defined FOFPID-AGC has been thoroughly evaluated under different disturbance conditions namely short circuit, load variation and excitation voltage change in the Four-Machine Kundur and Ten-Machine New England. To precisely extract the FOFPID’s parameters, concomitant optimization scheme has been scheduled with consideration of all these disturbances. At last, the damping performance of FOFPID-AGC has been mainly approved by MODA and NSGA-II, and its damping capability has been accordingly validated compared to two defined controllers.
Keywords: FOFPID-AGC, MODA, NSGA-II, dynamic stability, concomitant optimization scheme, multi-area interconnected power system
