Nonlinear Control of Smart Grids Using PI Controller Modified with Radial Basis Functions
Mario Barnard* and Mohamed Zohdy
Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, USA
*Corresponding Author: Mario Barnard, Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, USA..
Received:
August 17, 2021; Published: November 12, 2021
Abstract
In this paper, a smart grid modeled with various types of nonlinear loads has been utilized in order to observe the impacts on the nonlinear loads from a disturbance and how to best mitigate the disturbance. We attempted to use multiple Radial Basis Functions to approximate the nonlinear loads and to observe the factors associated with them. A PI controller was implemented in order to control the nonlinear loads.
Keywords: Smart Grid; Nonlinear Loads; Control Strategy for Nonlinear Loads; Radial Basis Function; PI Controller
References
- Seyed Ali Arefifar., et al. “Comprehensive Operational Planning Framework for Self-Healing Control Actions in Smart Distribution Grids”. IEEE Transactions on Power Systems 4 (2013).
- Seyed Ali Arefifar., et al. “Energy Management in Multi-Microgrid Systems- Development and Assessment”. IEEE Transactions on Power Systems2 (2017).
- S. Department of Energy, Office of Electricity Delivery and Energy Reliability by the National Energy Technology Laboratory, September (2009).
- Xi Fang., et al. “Smart Grid- The New and Improved Power Grid: A Survey”. IEEE Communications Surveys and Tutorials4 (2012).
- Hamid Reza Baghaee., et al. “Nonlinear Load Sharing and Voltage Compensation of Microgrids Based on Harmonic Power-Flow Calculations Using Radial Basis Function Neural Networks”. IEEE Systems Journal PP 99 (2017).
- Garima Goswami and Pankaj Kumar Goswami. “Simulation of Power Quality Control of Non Linear Load Using Fuzzy Controller at MATLAB”. International Journal for Research in Science and Advanced Technologies2 (2013): 114-119.
- S Sumathi., et al. “Solar PV and Wind Energy Systems: An Introduction to Theory, Modeling with MATLAB/SIMULINK, and the Role of Soft Computing Techniques”. Chapter 2, Springer International Publishing, Switzerland (2015).
- Jaw-Kuen Shiau and Chien-Wei Ma. “Li-Ion Battery Charging with a Buck-Boost Power Converter for a Solar Powered Battery Management System”. Department of Aerospace Engineering, Tamkang University, Energies 6 (2013): 1669-1699.
- Priety and Vijay Kumar Garg. “To Perform MATALB Simulation of Battery Charging Using Solar Power With Maximum Power Point Tracking (MPPT)”. M. tech Student (EE), UIET, Kurukshetra University, Kurukshetra, Haryana, India, UIET, Kurukshetra University, Kurukshetra, Haryana, India, International Journal of Electrical Engineering5 (2014): 511-516.
- R Arun., et al. “Shunt active power filter using Hysteresis and PI Control for improving the power quality using MATLAB”. Green Engineering and Technologies (ICGET), 2015 Online International Conference, 27-27 Nov. (2015).
- M Barnard., et al. “Speech Enhancement and Recognition Using Kalman Filter Modified via Radial Basis Function". International Journal of Computer and Information Technology (IJCIT)2 (2020).
- M Barnard and M Zohdy. “Continuous Speech and Time-Frequency Transform Using the Kalman Filter". International Journal of Computer and Information Technology (IJCIT)2 (2020).
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