Dual-Input Photovoltaic System Based on Parallel Z-Source Inverters

Shahparasti, Mahdi; Savaghebi, Mehdi; Adabi, Ebrahim; Ebel, Thomas

doi:10.3390/designs4040051

Cited by 4 publications

(3 citation statements)

References 44 publications

(54 reference statements)

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“…In the black start by BESS, the control scheme of the inverter plays an important role in forming medium voltage distribution networks (MV-DN) voltage, and BESS is forced to act like an AC voltage source [4], [5]. In the case of MV-DN, the voltage must be kept sinusoidal with limited voltage total harmonic distortion (THD), acceptable voltage deviation, balanced and fast transient voltage recovery under unpredictable load changes [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Inrush Current Management During Medium Voltage Microgrid Black Start With Battery Energy Storage System

et al. 2022

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This paper addresses the black start of medium voltage distribution networks (MV-DNs) by a battery energy storage system (BESS). The BESS consists of a two-level voltage source inverter interfacing MV-DN which has limited overcurrent capability. On the other hand, MV-DN normally includes several step-up and step-down transformers that are drawing sympathetic inrush current in energizing stage. Therefore, the major difficulty to perform black start by BESS during MV-DN island operation lies in the fact that the inverter has to simultaneous control the network voltage and its output current. This paper presents two control approaches for a BESS in order to control the inrush current during MV-DN black start. The proposed control schemes consist of droop, voltage and current loops in the stationary reference frame. The droop loop is used to generate the voltage reference. An intermediate voltage and inner current loops are designed for output voltage regulation, current reference generation as well as current tracking, respectively. New reference modifiers are included into droop and voltage loops to limit inrush current. The proposed control schemes are experimentally tested for energizing Ingå MV-DN in Finland by 1 MVA BESS, and their performance is compared in terms of inrush current value and voltage quality. The obtained results prove that both methods are able to feed the load with a fixed voltage in the steady-state as well as to limit the transformer inrush current considering the inverter overcurrent limit.

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Section: Introductionmentioning

confidence: 99%

Inrush Current Management During Medium Voltage Microgrid Black Start With Battery Energy Storage System

et al. 2022

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“…When the irradiance fluctuates between 100, 250, 500, 800, and 1000 W/m 2 , the current, voltage, and irradiation levels of the PV are seen to immediately increase [27]. As a result, the PV array's overall net power increases.…”

Section: Effectiveness Of a Conventional Mppt Controller With Distinc...mentioning

confidence: 99%

Performance Explorations of a PMS Motor Drive Using an ANN-Based MPPT Controller for Solar-Battery Powered Electric Vehicles

Teja

Sultana

Salkuti

2023

Designs

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Solar energy can function as a supplementary power supply for other renewable energy sources. On average, Vellore region experiences approximately six hours of daily sunshine throughout the year. Solar photovoltaic (PV) modules are necessary to monitor and fulfill the energy requirements of a given day. An artificial neural network (ANN) based maximum power point tracking (MPPT) controller is utilised to regulate the solar photovoltaic (PV) array and enhance its output. The utilisation of this controller can enhance the efficiency of the module even in severe circumstances, where reduced current and torque ripples will be observed on the opposite end. The motorised vehicle has the capability to function at its highest torque level in different load scenarios as a result. The proposed method is expected to provide advantages in various electric vehicle (EV) applications that require consistent velocity and optimal torque to satisfy the load conditions. The study employs a solar battery that is linked to an SVPWM inverter and subsequently a DC-DC boost converter to supply power to the load. An Artificial Neural Network (ANN) based Maximum Power Point Tracking (MPPT) control system is proposed for a solar battery powered Electric Vehicle (EV) and the system’s performance is evaluated by collecting and analysing data under adjustable load conditions to obtain constant parameters such as speed and torque. The MATLAB® Simulink® model was utilised for this purpose.

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“…• Improved reliability due to short circuit immunity In total, the impedance source converters are more reliable than VSI and SC topologies since they are not vulnerable to short-circuit in the DC link. Several impedance networks (IN) such as Z-Source [12], [13], T-Source, Quasi T-Source [14], [15], Y-Source, Quasi Y-Source [16], [17], and A-Source [18] networks have been introduced in the literature and reviewed in [11], [15]. Studying the configurations demonstrates that the magnetically coupled INs (MCIN) such as Y-source, coupled Trans Z-source, Z-source [19], and A-source are appropriate candidates to improve the boost factor.…”

Section: Introductionmentioning

confidence: 99%

A Three-Level Single Stage A-Source Inverter With the Ability to Generate Active Voltage Vector During Shoot-Through State

et al. 2022

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Single-stage boosting capability of impedance network (IN) inverters makes this family of inverters an attractive choice for DC/AC applications with low input DC voltage. A specific time of shootthrough (ST) state is required to achieve the required voltage gain. Conventionally ST state and zero output voltage vector should be applied simultaneously. This constraint limits the modulation index and increases the voltage stress of the semiconductor devices, particularly for applications requiring a high boosting factor. In this paper, as the boosting stage for a three-level inverter, a new modified configuration of A-source IN with two series outputs is proposed and connected to a 10-switches three-level inverter. Besides generating two outputs by a single IN, the proposed DC/AC inverter is able to apply an active voltage vector during the ST state. This capability improves the DC/AC voltage gain, increases the modulation index, and decreases the required ST time. The operation principles are described, and the steady-state relations are derived. It is compared with other magnetically coupled INs in terms of boost factor and voltage stress of switches. Considering the 10-switches three-level inverter as the front-end inverter, an adopted maximum boost strategy using the space vector modulation is developed targeting minimum ST time. Finally, a laboratory prototype of the converter is developed, and several tests are carried out. The results validate the given theories and simulations.

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Dual-Input Photovoltaic System Based on Parallel Z-Source Inverters

Cited by 4 publications

References 44 publications

Inrush Current Management During Medium Voltage Microgrid Black Start With Battery Energy Storage System

Inrush Current Management During Medium Voltage Microgrid Black Start With Battery Energy Storage System

Performance Explorations of a PMS Motor Drive Using an ANN-Based MPPT Controller for Solar-Battery Powered Electric Vehicles

A Three-Level Single Stage A-Source Inverter With the Ability to Generate Active Voltage Vector During Shoot-Through State

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