Bidirectional DC–DC converters play a crucial role in DC microgrid systems, and they have been used for many applications such as power flow management, battery storage systems, voltage regulation, and electric vehicle (EV) charging systems.
Novel energy management strategy is implemented in DC microgrid with Hybrid energy storage system. A bidirectional converter using artificial neural networks controller is developed. The performance of PV with battery/supercapacitor HESS is analyzed.
Is a multiport bidirectional converter suitable for dc microgrid energy interconnection?
The performance of the proposed multiport converter is verified using a prototype with 400-V high voltage, 24-V low voltage, and 600-W output power. For dc microgrid energy interconnection, this article proposes a multiport bidirectional converter, leveraging three shared half-bridges.
Can artificial neural network control a dc microgrid using a hybrid energy storage system?
This paper proposes a novel energy management strategy (EMS) based on Artificial Neural Network (ANN) for controlling a DC microgrid using a hybrid energy storage system (HESS). The HESS connects to the DC Microgrid using a bidirectional converter (BC), that enables energy exchange between the battery and supercapacitor (SC).
Can ESB and dc microgrid control a stable high-power bidirectional transmission?
Simulation results show that the proposed converter and its control system can realise stable high-power bidirectional transmission between the ESB and the DC microgrid, and achieve accurate tracking of the power reference value. Introduction
When the energy storage battery (ESB) is introduced into the DC microgrid, the DC microgrid can perform demand side management well. To achieve flexible charge and discharge controls of the ESB, th...
How is ESB connected to dc microgrid?
The ESB is connected to the DC microgrid through a bidirectional boost converter. The voltage of the DC microgrid is ±1.5 kV. The capacity of the ESB is 390 kWh, and the initial state of charge (SOC) is 50%. Fig 4 Open in figure viewerPowerPoint Structure of RTDS simulation platform