Adaptive differential evolution and pattern search tuned fractional order fuzzy PID for frequency control of power systems
Prangya Mohanty, Rabindra Kumar Sahu, Dillip Kumar Sahoo, Sidhartha Panda
Abstract
In the fast-growing dimension and difficulty of the electricity network, frequency regulation (FR) is considered to be the major significant choice for presenting superior quality electric power supply to the customers. Load-frequency control (LFC) scheme involves greatly vital, capable and intelligent control method to carry a strong power under the erratic nature of consumers’ demand. Thus, in this study proposes a hybrid Adaptive Differential Evolution and Pattern Search (hADE-PS) tuned Fractional Order Fuzzy PID (FOFPID) structure for FR of power systems (PSs). Firstly, a three unequal area system is taken and results of hADE-PS tuned FOFPID is compared with Teaching Learning-Based Optimization (TLBO) and Firefly Algorithm (FA) based controllers for the identical test systems. Then, the robustness of FOFPID is examined under varied conditions. In the next step, a power system with thermal and solar power is considered. The results of hADE-PS tuned FOFPID are evaluated with Genetic Algorithm (GA), FA, Whale Optimization Algorithm (WOA) and modified WOA for the same test system. It is demonstrated that hADE-PS-based FOFPID controller is more effective compared to some lately proposed methods. To substantiate the practicability of the projected method, experimental justification utilizing OPAL-RT-based real-time simulation has been carried out.