This article presents a model predictive self-healing control (MPSC) scheme for battery system interfaced dual active bridge (DAB) converter in navy ship power (NSPS) with pulsed loads (PPLs). The voltage and frequency of NSPS are vulnerable to PPLs energization. A properly controlled fast dynamic response can mitigate this vulnerability. Model (MPC) is potential solution the DAB achieve disturbances imposed by PPLs. However, conventional MPC framework suffers from current prediction error...

This article presents an autonomous model predictive controlled smart photovoltaic (PV) inverter with proactive grid fault-ride through capability. The proposed control features decoupled active and reactive power. It can seamlessly switch between the anticipated modes of operation based on condition or operator command. autonomously adjusts its power set-points according to condition, it operates in maximum point tracking (MPPT) low voltage ride (LVRT) normal faulty modes, respectively....

This paper presents a decoupled active and reactive power control scheme for grid-tied quasi-impedance source cascaded multilevel inverter (qZS-CMI). For photovoltaic (PV) applications, the proposed is based on an enhanced finite-set model predictive (MPC) to harvest desired from PV modules with ability provide ancillary services grid. The has two modes of operation: normal grid mode low voltage ride through (LVRT) mode. In mode, controller commands qZS-CMI operate at global maximum point...

This article presents a hierarchical finite-set model predictive control (MPC) scheme to enable autonomous operation and self-balancing cascaded multilevel inverter. The proposed approach is an alternative MPC based on generic cost function, which in some applications ill fit or challenging design. controller has framework eliminate the overall function optimization associated weight factor design stage of objectives. formulation allows for multiobjective with cost-tolerance framework....

Power grids with increasing number of distributed energy resources (DERs) equipped fleet smart devices are exposed to malicious attacks. These actions can ultimately cause a large-scale blackout if these subversive activities not prevented, detected, or promptly addressed. being threatened by category cyber-physical attacks, which target both the physical and cyber layers system. This paper proposes an autonomous detection corrective control framework consisting two algorithms identify...

This article proposes an optimal current control technique with switching event minimization for grid-interactive cascaded multilevel inverters (CMI) interfaced battery energy storage sources. The proposed scheme enables power-balancing functionality of cells, realizing smart operation CMI. Model predictive (MPC) is known as a potential approach multiobjective schemes in single-loop manner power electronics interfaces. However, MPC are suffering from high computational burden that magnified...

This paper presents a control scheme for single-phase grid-following inverters that does not rely on the phase-locked-loop (PLL) algorithm synchronizing injected current with grid. The absence of PLL avoids unstable low damping modes are possibly originated from PLL's nonlinear nature. Thereby, assuring robustness, especially, in weak grid conditions. Furthermore, proposed PLL-less achieves tracking commanded active and reactive power (PQ) set-point references single loop scheme. Hence,...

This paper presents an observer based predictive control scheme for grid-interactive inverters with intrusion detection capability. The proposed framework is robust to potential cyber-physical attacks due intentional electromagnetic interference (EMI) on the vulnerable Hall-effect current sensors of inverter. operation smart at grid-edge highly dependent reliable and accurate measurement in their feedback scheme. security highlights two layers; first layer detects by EMI attack sensor...

This article presents an effective resonance suppression control for grid-interactive inverters with LCL filter in weak grid conditions.The mechanism is based on adaptive model predictive (AMPC).The large parasitic impedance and low short-circuit ratio (SCR) of challenges the operation inverters.Specifically, may get excited, resulting collapse inverter operation.The proposed AMPC scheme autonomously alter controller objectives suppressing resonance.The alters feedback currents...

Model predictive controlled (MPC) power electronics converters (PECs) features numerous benefits including fast transient response, multi-objective control in single-loop, and inclusion of constraints nonlinearities a simple manner. However, the approach requires accurate knowledge model parameters system. Potential parameter mismatches with actual values will result performance deterioration MPC. Various agents like aging harsh environmental conditions would yield changes circuit impedance....

This paper presents a decoupled active and reactive power predictive control for quasi-Z-source (qZS) single-phase grid connected photovoltaic (PV) microinverter with low voltage ride through (LVRT) capability. The algorithm structure is based on model (MPC) framework to facilitate switching between modes of operation: maximum point tracking (MPPT) LVRT modes. proposed controller extracts the from PV panels during normal condition. system capable injecting requirements by codes commanded...

This paper proposes a hierarchical optimal active and reactive power control while minimizing the switching events for three-phase grid-tied cascaded multilevel inverters (CMI) battery energy storage applications. Model predictive (MPC) is known as potential approach multi-objective schemes in single-loop manner electronics interfaces. However, MPC are suffering from high computational burden. Furthermore, one of main challenges designing tuning cost function weight factors schemes. The...

Short-term load forecasting plays a major role in the operation of electric power systems to ensure instantaneous balance between electricity generation and demand. The accuracy forecast generated by neural network (NN) has several factors, including but not limited to, algorithm used train network, how much what kind data are network's training set, many hidden layers NN, size layer(s). We investigate best combination these factors decrease mean absolute percent error (MAPE) give possible....

This work presents a modified model predictive control (MPC) with open-circuit fault-detection and fault-tolerance capabilities for grid-connected multilevel inverters. The proposed self-healing (SMPC) approximates the error in inverter output voltage, executes diagnostic algorithm if this exceeds pre-defined tolerance. determines switch an failure duration less than one fundamental period. After is detected, controller will reduce set of permissible actions, allowing to retain healthy...

This paper presents an effective resonance suppression control when grid interactive inverter with LCL filter experience weak conditions. The mechanism is based on finite-set model predictive (FS- MPC) adaptive cost function to alter the controller objectives seamlessly. large parasitic impedance and low short circuit ratio (SCR) of challenges operation grid- connected inverters. Specifically, may get excited, resulting in collapse operation. To address this issue, active damping approach...

This paper presents a hierarchical finite-set model predictive control (MPC) scheme for grid-tied cascaded multilevel inverters (CMI) with independent active and reactive power injection capabilities. The proposed controller has framework to eliminate the computationally burdensome cost function optimization associated weight factors of objectives. formulation approach allows multi-objective an error-tolerance framework. achieves switching loss minimization while extracting evenly from...

This paper presents a decoupled power control scheme for grid-tied single-phase quasi-impedance-source cascaded multilevel inverter (qZS-CMI) photovoltaic (PV) applications. The proposed the qZSI-CMI is based on finite-set model predictive (MPC) to harvest desired active from PV modules with ability provide ancillary services grid. has two modes of operation: normal grid mode and low voltage ride through (LVRT) mode. In mode, controller commands qZS-CMI operate at global maximum point (MPP)....

This paper presents a decoupled active and reactive power control for the differential buck converter. does not require phase locked loop (PLL) synchronization. Also, it achieves in simple single structure. The converter has capability to compensate double line frequency ripple without relying on additional hardware. Particularly, Common Mode (CM) operation is used absorption. Whereas, Differential (DM) as an exchanging port between grid at point of common coupling (PCC). motivation behind...