Affiliation:
1. Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN 38152, USA
Abstract
The major problem associated with the grid-connected solar photovoltaic (PV) system is the integration of the generated DC power into the AC grid and maintaining the stability of the system. With advancements in research on these PV inverters, artificial intelligence (AI)-based control models are replacing the existing linear methods. These smart PV systems are prone to a variety of attacks, ranging from physical attacks on the PV plants to data integrity attacks and communication-based attacks. This paper provides an overview of the cybersecurity issues with smart PV inverters, their impacts on the grids, and control methods that exist to detect and identify cyber-attacks on a smart PV grid system. An extensive bibliography is provided on grid-forming and grid-following inverters with a variety of control techniques like Proportional–Integral–Derivative (PID) control, fuzzy-based control, and their performances under different fault situations. Multi-level inverter design approaches with various intelligent control techniques to overcome switching failures and other system faults are reviewed. Moreover, some recommendations for future research on intelligent inverters for grid-connected PV systems are proposed. This work will benefit researchers, scientists, and engineers who are working in the field of intelligent inverters for the grid-connected PV system.
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference129 articles.
1. Computation of Power Extraction from Photovoltaic Arrays under Various Fault Conditions;Alammari;IEEE Access,2020
2. Evaluating MPPT Converter Topologies Using a Matlab PV Model;Walker;Aust. J. Electr. Electron. Eng.,2001
3. Hohm, D.P., and Ropp, M.E. (2000, January 15–22). Comparative Study of Maximum Power Point Tracking Algorithms Using an Experimental, Programmable, Maximum Power Point Tracking Test Bed. Proceedings of the Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference, Anchorage, AK, USA.
4. MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics;Patel;IEEE Trans. Energy Convers.,2008
5. A MATLAB-Simulink-Based PV Module Model and Its Application under Conditions of Nonuniform Irradiance;Ding;IEEE Trans. Energy Convers.,2012
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献