Design of a quasi‐oppositional FBI based fuzzy PIDF (1 + PI) controller for frequency regulation with renewable energy sources and energy storage elements

Abstract

AbstractIntegration of renewable energy sources (RESs) in modern power system has put a great challenge on researchers and system engineers to satisfactorily operate the power system when it is subjected to various disturbances. Automatic generation control (AGC) plays a very essential role in modern power system to control the tie‐line power flows and system frequencies. This paper illustrates about optimal design and implementation of various controllers for AGC of a two‐area non‐reheat thermal power system with some supplementary generation from dish stirling solar thermal system and wind‐turbine system. In addition to the generating sources, some energy storage systems like capacitive energy storage and redox flow battery are integrated to improve the dynamic stability of the system. Various controllers like fuzzy logic based PID controller, PID controller with filter (PIDF) and fuzzy PIDF (1 + PI) controller are used as supplementary controllers of the AGC system. The proposed controllers are optimally designed by FBI algorithm and QO‐FBI algorithm. A step load of 1% (0.01 pu) is applied in area‐1 to analyze the performances of the proposed controllers. Investigation of the study includes undershoot, overshoot and settling time of frequency and tie‐line power deviations. The percentage improvement of QO‐FBI based FPIDF (1 + PI) controller with respect to ICA based FPIDF (1 + PI) controller is examined. It is noticed that, AGC system equipped with QO‐FBI based FPIDF (1 + PI) controller outperforms ICA‐FPIDF (1 + PI) controller in all aspects. The superiority of the QO‐FBI based FPIDF (1 + PI) controller is validated under parametric variation in system parameters. Sensitivity analysis is also carried out by varying the inputs to the intermittent renewable sources. Comparative performance analysis reveals that QO‐FBI based FPIDF (1 + PI) controller performs better in comparison with other proposed controllers and a recently proposed ICA based FPIDF (1 + PI) controller.