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

Abstract

This paper presents a model predictive self-healing control (MPSC) scheme for battery system interfaced dual active bridge (DAB) converter in navy ship power system (NSPS) with pulsed power loads (PPLs). The voltage and frequency of NSPS are vulnerable to PPLs energization. A properly controlled battery system with fast dynamic response can mitigate this vulnerability. Model predictive control (MPC) is a potential solution for the battery system interfaced DAB converter to achieve fast dynamic response and mitigate disturbances imposed to the NSPS by PPLs. However, conventional MPC framework suffers from current prediction error due to the pulsating AC-link inductor's voltage profile in DAB converter. This paper proposes a self-healing control loop that utilizes the feasible range of power transfer in conjunction with the AC-link inductor's voltage profile. The proposed method can validate and autonomously correct the predicted current and phase shift in DAB converter interfaced a battery system. The proposed control scheme on DAB converter prevents voltage and frequency collapse in a hybrid AC/DC NSPS particularly during the PPL energization. The system stability is studied based on Lyapunov stability analysis. The theoretical concepts are validated by several case studies implemented on a hardware-in-the-loop (HIL) testbed of a NSPS. The case studies demonstrate voltage and frequency regulation of the NSPS with fast dynamic response during PPLs energization. The proposed MPSC performance is compared with proportionalintegral (PI) based control for DAB in NSPS with PPLs.

Optimal output‐constrained control of medium‐voltage DC shipboard power systems for pulsed power load accommodation

“…V 12 is negative definite, the transformed system ( 17) is asymptotically stable [31]. According to Equations (13)(14)(15), the asymptotic stability of e 1 is also guaranteed. All signals in the closed-loop ESS can be proven to be bounded with standard linear analysis methods [32].…”

“…Hence, s 2 , ĩLoad , and ξ 2j are all bounded [31]. Furthermore, based on Equations (13)(14)(15), one can verify that all signals in the closed-loop generation system are bounded [32]. Moreover, the developed control law Equation (44) guarantees that…”

“…To address the PPL accommodation issue in an MVDC SPS, ESSs are usually equipped to fulfil the PPL energy demand [15]. The structure of the considered MVDC SPS is depicted in Figure 1, which includes a generation system consisting of multiple DGs, a supercapacitor ESS for PPL accommodation, and regular loads.…”

“…Thus, ξ 2 can also be made arbitrarily small from its definition in Equation ( 35), and the first fact holds. Additionally, with the help of Equations (13)(14)(15) and the initial condition e j t 0 ð Þ < e j t 0 ð Þ < e j t 0 ð Þ, j = 1, 2, one can conclude that e j will stay within the predefined time-varying bounds at all times. Thus, the second fact holds.…”

A Composite DC–DC Converter Based on the Versatile Buck–Boost Topology for Electric Vehicle Applications

“…The main goal of this work is to study whether all the abovementioned features of the versatile buck–boost converter can be extended to a composite converter architecture, enhancing the advantages of this system. The presented study includes thermal simulation, experimental validation, and hardware-in-the-loop (HIL) real-time simulation, which has proven to be a handy tool in many applications [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ]. Based on this state-of-the-art review, the main contributions of this paper are: It is the first time that the versatile buck–boost converter is used in an EV composite architecture.…”