Model Predictive Control for Dual Active Bridge in Naval DC Microgrids Supplying Pulsed Power Loads Featuring Fast Transition and Online Transformer Current Minimization

Abstract

Pulsed-Power-Loads (PPLs) are becoming prevalent in medium-voltage naval DC micro-grids. To alleviate their effects on the system, energy storages are commonly installed. For optimal performance, their interface converters need to have fast dynamics and excellent disturbance rejection capability. Moreover, these converters often need to have voltage transformation and galvanic isolation capability since common energy storage technologies like batteries and super-caps are typically assembled with low voltage strings. In order to address these issues, a Moving-Discretized-Control-Set Model-Predictive-Control (MDCS-MPC) is proposed in this paper and applied on a Dual-Active-Bridge converter. Fixed switching frequency is maintained, enabling easy passive components design. The proposed MDCS-MPC has a reduced prediction horizon, which allows low computational burden. The operating principle of the MDCS-MPC is introduced in development of a cost function that provides stiff voltage regulation. Resonance damping and sampling noise resistance can also be achieved with the proposed cost function. An adaptive step is introduced to enable fast transition. Assessments on the performance of the proposed MDCS-MPC are conducted. Comparisons with other control methods are also provided. Experimental validations on a 300V/300V 20kHz 1kW Dual-Active-Bridge converter are carried out to verify the theoretical claims.

A Novel Sliding-Discrete-Control-Set Modulated Model Predictive Control for Modular Multilevel Converter

“…However, there is no cost function involved in this deadbeat based predictive control method, which limits its application in the multi-target control situation. Recently, the MPC method with the adaptive search step is applied in DC microgrids aiming to solve the dynamic response issues brought by the pulse loads [23], [24]. By applying the adaptive search step in the MPC algorithm, the evaluated control sets can be reduced accordingly.…”

“…In this paper, ζ is selected as udc/2; Eup and Elow are selected as 0.1udc and 0.005udc. A similar parameter design principle for the selection of Δ v (k) select optimal v oj (k+1) predict i j (k+1) and calculate J(k+1) adaptive search step can be found in [23], and this is not discussed here.…”

Modeling and Predictive Control of Shipboard Hybrid DC Power Systems

“…Model predictive control (MPC) is an advanced optimization based control technique, and significant research has been recently conducted to be applied in marine applications. A lot of MPC applications in the marine systems deal with power fluctuation smoothing with hybrid energy storage systems [7], DC-DC converter control for pulsed power load [8], [9], power and energy management [10], harmonic mitigation [11] and thrust control [12]. Not only in the marine application as a high-level control, but MPC has been also applied for the AFE rectifiers in order to regulate the DC voltage [13], [14].…”

Self-Healing Predictive Control of Battery System in Naval Power System With Pulsed Power Loads

“…Energy storage systems (ESS) such as battery banks and super-capacitors are typically used in NSPS for mitigating the voltage and frequency fluctuations due to PPLs [5][6][7]. Dual active bridge (DAB) converter is known as a proper power electronics interface for ESS in response to fast transient loads such as PPLs [8]. Due to periodic sudden changes of PPLs which requires frequent charging and discharging of ESSs, a high efficiency power conversion unit, such as DAB converter, is recommended [9].…”