Active power control to mitigate voltage and frequency deviations for the smart grid using smart PV inverters

Howlader, Abdul Motin; Sadoyama, Staci; Roose, Leon R.; Chen, Yan

doi:10.1016/j.apenergy.2019.114000

Cited by 84 publications

(25 citation statements)

References 28 publications

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“…Meanwhile, other devices such as dump load and supercapacitors might hike the cost of installation and maintenance. Therefore, the power electronics revolution makes the grid-tie inverter a promising tool to control voltage, reactive power, grid frequency, and active power with no additional cost [20,21]. The study [22] validated the ability of the conventional inverter to control active and reactive power independently under different methodologies.…”

Section: A Related Workmentioning

confidence: 75%

“…Unlike conventional inverter, the smart inverter is another revolutionary technology that simultaneously enables active and reactive power control and other conventional inverter functionalities [20]. Literature [26] developed a custom model of the smart inverter to increase PV hosting capacity and proposed a new power flow calculation algorithm to involve smart inverter inputs.…”

Section: A Related Workmentioning

confidence: 99%

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A Novel Cooperative Control Strategy to Mitigate PV Power Fluctuation and Increase its Penetration

Alsharif

2021

IEEE Access

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This paper proposes a novel optimization-based power sharing control strategy to moderate PV power intermittency and increase its penetration. Such a control strategy aims to minimize the total PV power sensitivity to the light change by re-distributing the demand power among available PV units such that the demanding power met with minimal variation. PV plant is coupled with the grid utility, and it should maintain a specific amount of power determined by the grid operator. However, due to the PV power sensitivity to the light, the delivered power at the coupling point fluctuates and leads to undesirable responses such as grid frequency excursion, stability problems, and unoptimized power generation. To address such issues, we formulate an optimization problem to reduce the total PV power sensitivity by selecting the optimal reference voltage for each PV panel. We define the power sensitivity as the rate of power change to light fluctuation to be the objective function of the proposed optimization problem, and the selected reference voltages for all PV panels are the decision variables. Compared to other conventional power-sharing techniques such as the same utilization level, droop control, and lookup table, MATLAB simulation results verify the contribution of the proposed algorithm's performance superiority in PV power sensitivity reduction, grid stability assurance, and power generation enhancement. Moreover, when there is insufficient PV power to meet the grid operator's demand, the proposed algorithm automatically sets the entire PV plant to work at its MPP without switching circuits.

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Section: A Related Workmentioning

confidence: 75%

Section: A Related Workmentioning

confidence: 99%

A Novel Cooperative Control Strategy to Mitigate PV Power Fluctuation and Increase its Penetration

Alsharif

2021

IEEE Access

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“…Howlader et al [17] Frequency-watt and volt-watt control techniques Less power loss Error stability is high Xie et al [18] Grid-tied PV method Tracking efficiency is high High expensive…”

Section: Conflict Of Interestmentioning

confidence: 99%

Novel Hybrid Optimization Maximum Power Point Tracking and Normalized Intelligent Control Techniques for Smart Grid Linked Solar Photovoltaic System

2021

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Introduction of photovoltaic (PV) systems in grid causes some complex power quality problems such as harmonics, voltage fluctuation, and load imbalance that can affect the grid coordinated PV system performance. Therefore, herein, a novel normalized reasoning‐based fuzzy neural adaptive (NRFNA) control technique is proposed for the double‐stage grid coupled solar PV system. In addition, the utmost power in a double‐stage PV system is tracked at dissimilar environmental states by the proposed novel hybrid krill herd spider monkey (HKHSM)‐based maximum power point tracking (MPPT) algorithm. The current computation control method preserves the grid current in unity power factor as sinusoidal for the system at point common coupling (PCC). The simulation of this proposed work is done on MATLAB/Simulink. Subsequently, the performance of the developed replica results is validated under dissimilar conditions of power quality. Furthermore, the proposed HKHSM‐based MPPT along with a normalized reasoning herd spider monkey (NRHSM) control technique in a grid coordinated solar PV system has achieved 1.70% load current harmonics and 3.7% grid current harmonics. Consequently, the simulation outcomes are compared with the various conventional methods for proving the significance of the proposed system.

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“…Some applications that require reliable measurements against wide frequency deviations are-in the use of renewable energy sources, during the start-up and shut-down of generators in power systems, during a possible collapse of the power system, protection and control, among other. In addition, some others applications can be highlighted such as the deployments of variable renewable energy sources, for instance photovoltaic (PV) systems, the power intermittency of PV systems causes major problems such as voltage fluctuations and frequency deviations in an electric power grid, that result in poor power quality for consumers [40]. On the other hand, the wide frequency deviation could occur due to either erroneous measurements or transient phenomena due to the interconnector trip to detect islanding system reclosure [41,42].…”

Section: Applications Related To Wide Frequency Deviationsmentioning

confidence: 99%

Improved Performance of M-Class PMUs Based on a Magnitude Compensation Model for Wide Frequency Deviations

et al. 2020

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Phasor measurement units (PMUs) are important elements in power systems to monitor and know the real network condition. In order to regulate the performance of PMUs, the IEEE Std. C37.118.1 stablishes two classes—P and M, where the phasor estimation is carried out using a quadrature oscillator and a low-pass (LP) filter for modulation and demodulation, respectively. The LP filter plays the most important role since it determines the accuracy, response time and rejection capability of both harmonics and aliased signals. In this regard and by considering that the M-class filters are used for more accurate measurements, the IEEE Std. presents different M-class filters for different reporting rates (when a result is given). However, they can degrade their performance under frequency deviations if the LP frequency response is not properly considered. In this work, a unified model for magnitude compensation under frequency deviations for all the M-class filters is proposed, providing the necessary values of compensation to improve their performance. The model considers the magnitude response of the M-class filters for different reporting rates, a normalized frequency range based on frequency dilation and a fitted two-variable function. The effectiveness of the proposal is verified using both static and dynamic conditions for frequency deviations. Besides that, a real-time simulator to generate test signals is also used to validate the proposed methodology.

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Active power control to mitigate voltage and frequency deviations for the smart grid using smart PV inverters

Cited by 84 publications

References 28 publications

A Novel Cooperative Control Strategy to Mitigate PV Power Fluctuation and Increase its Penetration

A Novel Cooperative Control Strategy to Mitigate PV Power Fluctuation and Increase its Penetration

Novel Hybrid Optimization Maximum Power Point Tracking and Normalized Intelligent Control Techniques for Smart Grid Linked Solar Photovoltaic System

Improved Performance of M-Class PMUs Based on a Magnitude Compensation Model for Wide Frequency Deviations

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