Control of Parallel Inverters for High Power Quality and Sharing Accuracy in Single-Phase AC Microgrids

Panjaitan, Seno Darmawan; Kurnianto, Rudi; Sanjaya, Bomo Wibowo; Turner, Matthew C.

doi:10.1109/control.2018.8516761

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…Approaches [24] and [118] are not applicable for online uninterruptible power supply (UPS) due to incorrect current distribution. According to the limitations mentioned in [119], to improve harmonic power-sharing, a decentralized controller with virtual resistive output impedance has been used in both linear and non-linear load conditions.…”

Section: Virtual Impedance Loopmentioning

confidence: 99%

Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review

et al. 2022

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Microgrids (MG) are small-scale electric grids with local voltage control and power management systems to facilitate the high penetration and grid integration of renewable energy resources (RES). The distributed generation units (DGs), including RESs, are connected to (micro) grids through power electronics-based inverters. Therefore, new paradigms are required for voltage and frequency regulation by inverter-interfaced DGs (IIDGs). Notably, employing effective voltage and frequency regulation methods for establishing power-sharing among parallel inverters in MGs is the most critical issue. This paper provides a comprehensive study, comparison, and classification of control methods including communication-based, decentralized, and construction and compensation control techniques. The development of inverter-dominated MGs has caused limitations in employing classical control techniques due to their defective performance in handling non-linear models of IIDGs. To this end, this article reviews and illustrates advanced controllers that can deal with the challenges that are created due to the uncertain and arbitrary impedance characteristics of IIDGs in dynamics/transients.

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Section: Virtual Impedance Loopmentioning

confidence: 99%

Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review

et al. 2022

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“…A Particle Swarm Optimization (PSO) based ANN strategy was recommended by the authors of [17]. A multi-input and multi-output boost controller structure that can connect 'n' sources with 'm' loads was introduced in this study.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Controller Based on Artificial Neural Network and INC Based MPPT for Grid Integrated Solar PV System

Kumar,

Chaudhary,

Shah

2023

IJRCS

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Solar photovoltaic (PV) systems have become an integral part of today's advanced energy infrastructure due to its low kinetic energy, its abundance availability, and its freedom from human interference. Solar PV systems have the potential to greatly reduce our reliance on fossil fuels, but their intermittent nature means they cannot provide a constant source of electricity. The system's security should be well thought out, and it should be able to withstand a lot of abuse. The current energy system faces a significant difficulty in ensuring continuous supply. In this study, a three-phase, two-stage photovoltaic system that is managed by artificial neural networks (ANN). A DC-DC boost converter with maximum power point tracking (MPPT) based on the incremental conductance (INC) method is incorporated in the first stage. In the next step, an ANN-based controller optimizes the performance of a three-phase switching PWM inverter that is connected to the grid by controlling currents along the d-q axis. Comprehensive simulations were carried out using MATLAB or Simulink to evaluate the system's performance under various illumination and temperature conditions. Results show that the suggested approach outperforms the baseline in a number of areas. Better dynamic reactions, accurate tracking of reference currents within permissible bounds, and quick settling periods after startup are all displayed by it. These findings show that our method has the potential to greatly improve the efficiency and dependability of solar PV systems. The results of this study have implications for renewable energy in general and present a viable path toward enhancing the resilience and sustainability of energy infrastructure.

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“…The bus voltages and the system frequency are mostly influenced by the main grid due to the relatively small capacity of DGs. In these conditions, each DG unit should generate the predefined values of active and reactive powers 4,5 …”

Section: Introductionmentioning

confidence: 99%

A robust control strategy for a single‐phase grid‐connected multibus microgrid based on adaptive sliding mode control and dynamic phasor concept

Eshghi

Soltani

Rezaei

et al. 2021

Int Trans Electr Energ Syst

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Summary Due to the increasing development of distribution networks, the need to use clean energy resources, and the existence of different single‐phase and three‐phase consumers, the maximum use of both single‐phase and three‐phase distributed generation (DG) units has become crucial. However, the presence of DG units in microgrids (MGs) requires efficient control strategies, for power control and voltage regulation, to achieve a rapid and proper dynamic response with respect to external disturbances and uncertainties. In this paper, in order to improve the dynamic and steady‐state performance of an unbalanced multibus microgrid including inverter‐based single‐phase DGs, a robust control strategy is proposed for controlling the active and reactive power of DGs. The proposed control scheme is composed of a current controller based on an adaptive sliding mode control method in a virtual synchronous dq reference frame, to control the single‐phase inverter output current, and a PI controller to regulate the voltage magnitude of the generation buses connected to DGs. In the proposed control structure, each single‐phase inverter is controlled as a virtual balanced three‐phase inverter, based on the dynamic phasor concept that makes decoupled control of the active and reactive powers of single‐phase inverters possible. In order to evaluate the validity and effectiveness of the presented control structure, a multibus single‐phase MG containing several inverter‐based single‐phase DG units has been simulated in MATLAB software environment, and the performance of the proposed control scheme has been investigated for various scenarios of parametric uncertainties and external disturbances.

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Control of Parallel Inverters for High Power Quality and Sharing Accuracy in Single-Phase AC Microgrids

Cited by 6 publications

References 23 publications

Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review

Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review

Intelligent Controller Based on Artificial Neural Network and INC Based MPPT for Grid Integrated Solar PV System

A robust control strategy for a single‐phase grid‐connected multibus microgrid based on adaptive sliding mode control and dynamic phasor concept

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