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Dynamic Stabilization of DC Microgrids Using ANN-Based Model Predictive Control by Alper Nabi Akpolat; Mohammad Reza Habibi; Hamid Reza Baghaee; Erkan Dursun; Ahmet Emin Kuzucuoglu; Yongheng Yang; Tomislav Dragicevic; Frede Blaabjerg is a Engineering article available to read on EtoBox.
What is Dynamic Stabilization of DC Microgrids Using ANN-Based Model Predictive Control about?
Over the past decade, the high penetration of renewable-based distributed generation (DG) units has witnessed a considerable rise in electrical networks. In this context, direct current (DC) microgrids based on DGs are being preferred due to having less complexity for the establishment and control. At the same time, they offer higher efficiency and reliability compared to their alternating current (AC) counterparts. This paper proposes a new model predictive control (MPC)-trained artificial neural network (ANN) control strategy being an ANN-MPC instead of conventional cascaded-proportional-integral (PI)-trained ANN control for dynamic damping of photovoltaic (PV)-battery-based grid-connected DC microgrids. Unlike traditional controllers, the proposed control approach more rapidly attains generation-load power balancing under variable climate input (meteorological sensor data) and output (load demand), hence achieving quick DC-bus voltage damping. The proposed ANN-MPC scheme is examined under different operating conditions, and the results are compared with the ANN-based conventional PI controller. The results show the proposed control strategy's efficacy to lessen the instability i
Who reads Dynamic Stabilization of DC Microgrids Using ANN-Based Model Predictive Control?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Alper Nabi Akpolat; Mohammad Reza Habibi; Hamid Reza Baghaee; Erkan Dursun; Ahmet Emin Kuzucuoglu; Yongheng Yang; Tomislav Dragicevic; Frede Blaabjerg
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Published
- 2022
- Language
- EN
- Field
- Engineering (Physical Sciences)