Improved Sunflower Optimization Algorithm Tuned Adaptive Type-2 Fuzzy PID Controller for Frequency Regulation of Renewable Power Integrated Hybrid Distributed Power System

Shubhransu Sekhar Dash, Smrutiranjan Nayak, Sanjeeb Kumar Kar

Abstract


The indeterminate characteristic of renewable sources makes present power systems very complex and introduces the frequency fluctuations. This work proposes a maiden application of an Improved Sunflower Optimization Algorithm (ISFO) technique tunedAdaptive Type-2 Fuzzy PID (AT2FPID) controller for frequency control of hybrid distributed power systems integrated with renewable sources. Initially, PID controllers are considered and the dominance of ISFO over Sunflower Optimization Algorithm (SFO), Genetic Algorithm (GA) and Differential Evolution (DE) has been established. Performance comparison is carried out by assessing overshoots, undershoots and various integral errors due to Step Load Perturbations (SLPs) in each area. In the next stage, AT2FPID controller is considered and its supremacy to control the system frequency is demonstrated by comparing with Type-2 Fuzzy PID (T2FPID), Type-1 Fuzzy PID (T1FPID) and PID controllers for various cases.

Keywords


Sunflower Optimization Algorithm (SFO), Improved SFO (ISFO), Distributed Energy Sources, renewable sources, Frequency Control, Adaptive Type-2 Fuzzy PID (AT2FPID) Controller.

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DOI (PDF): https://doi.org/10.20508/ijrer.v11i4.12354.g8345

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