Artificial Intelligence and Communication Technologies
An Application of ANFIS-PID Controller for Multi Area Hybrid Power System
Authors: Balvender Singh and Shree Krishan Bishnoi
Publishing Date: 07-01-2023
ISBN: 978-81-955020-5-9
Abstract
In this work adaptive fuzzy- PID (ANFIS-PID) controller is presented for frequency and tie-line regulation of multi-area interconnected power systems (IPS). The proposed controller has the properties of both neural network and fuzzy logic. A novel four area power system comprises two reheat turbines (area1 and area2), one hydropower plant (area 3) with the hydraulic governor and one wind plant (area 4) with a pitch actuator. This hybrid interconnected power system model has been built in MATLAB/ Simulink version 2020(a) and the proposed controller is employed with the same design of ANFIS model in all areas. Further, the performance of power system model is presented with the suggested controller. The step load change is considered in each area. An HVDC lines are considered in each area to improve the performance of the proposed model. Further, a fair comparison is made for the conventional PID and Fuzzy-PID controllers. The designed controller performs best compared to the other compared controller for tie-line power and frequency regulation in all four areas of the IPS. The dynamic response of the proposed model improves with AC/DC line as compared to AC line. The sensitivity analysis with change in plant parameters, step load perturbation (SLP) and random load change is also being applied to check the robustness of the controller.
Keywords
ANFIS, Fuzzy, PID, HVDC, Four- Area.
Cite as
Balvender Singh and Shree Krishan Bishnoi, "An Application of ANFIS-PID Controller for Multi Area Hybrid Power System", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 613-627. https://doi.org/10.52458/978-81-955020-5-9-59