Adaptive Power Point Tracking Control of PV System for Primary Frequency Regulation of AC Microgrid With High PV Integration

Li, Zhongwen; Zeng, Cheng; Si, Jikai; Zhang, Shuyuan; Dong, Lianghui; Li, Shuhui; Gao, Yixiang

doi:10.1109/tpwrs.2021.3049616

Cited by 42 publications

(14 citation statements)

References 44 publications

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“…PV cell works as a current source to convert solar energy into direct current through the photovoltaic effect (Mokhtar et al, 2020;Li et al, 2021), whose power generation characteristics can be explained as…”

Section: Modelling Of Pv Cellmentioning

confidence: 99%

Optimal PID Tuning of PLL for PV Inverter Based on Aquila Optimizer

et al. 2022

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Phase-locked loop (PLL) is a fundamental and crucial component of a photovoltaic (PV) connected inverter, which plays a significant role in high-quality grid connection by fast and precise phase detection and lock. Several novel critical structure improvements and proportional-integral (PI) parameter optimization techniques of PLL were proposed to reduce shock current and promote the quality of grid connection at present. However, the present techniques ignored the differential element of PLL and did not acquire ideal results. Thus, this paper adopts Aquila optimizer algorithm to regulate the proportional-integral-differential (PID) parameters of PLL for smoothing power fluctuation and improving grid connection quality. Three regulation strategies (i.e., PLL regulation, global regulation, and step regulation) are carefully designed to systematically and comprehensively evaluate the performance of the proposed method based on a simulation model in MATLAB/Simulink, namely, “250-kW Grid-Connected PV Array”. Simulation results indicate that PLL regulation strategy can effectively decrease power fluctuation and overshoot with a short response time, low complexity, and time cost. Particularly, the Error(P) and the maximum deviation of output power under optimal parameters obtained by PLL strategy are decreased by 418 W and 12.5 kW compared with those under initial parameters, respectively.

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Section: Modelling Of Pv Cellmentioning

confidence: 99%

Optimal PID Tuning of PLL for PV Inverter Based on Aquila Optimizer

et al. 2022

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“…For PV sources participating in frequency/voltage regulation or support without energy storage, there are usually two kinds of technical solutions: the power reserve control (PRC) [10][11][12][13][14] and the active power control (APC). 5,[15][16][17][18][19][20][21] Both of them make the PV source operate below the maximum power point (MPP) to achieve the adjustment flexibility. The PRC reserves a certain proportion of PV generation (e.g., generates 80% of its maximum available power while 20% is reserved) thus to maintain an adjustment margin for frequency/voltage regulation and inertial/damping imitation.…”

Section: Introductionmentioning

confidence: 99%

“…For PV sources participating in frequency/voltage regulation or support without energy storage, there are usually two kinds of technical solutions: the power reserve control (PRC) 10–14 and the active power control (APC) 5,15–21 . Both of them make the PV source operate below the maximum power point (MPP) to achieve the adjustment flexibility.…”

Section: Introductionmentioning

confidence: 99%

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Active power control strategy based on characteristic curve fitting for photovoltaic sources

Cai¹,

Yang²,

Wang³

et al. 2023

Engineering Reports

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With the explosive growth of photovoltaic (PV) penetration, there is an increasingly urgent expectation for PV sources to provide a full range of ancillary services to the utility. The most critical issue for a PV source to support the power system is the flexible power regulating capability, whereas the PV sources generally operates in the maximum power point tracking (MPPT) mode to maximize the solar harvest. This paper proposes an active power control strategy for PV sources based on a characteristic curve fitting method. With the proposed control strategy, PV sources can operate in the MPPT mode or adaptively switch to the power dispatch mode to flexibly regulate its output power to track the power reference. The characteristic curve fitting method does not require an irradiation sensor, but it has a more stable performance under rapid and continuous change in irradiation with simple calculation and error control since its extremely high similarity with the P–U characteristics of the PV source. Simulation is performed based on a detailed PV dynamic model to validate the proposed control strategy.

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“…New and renewable energy resources have been increasingly used worldwide owing to energy policies aimed at achieving carbon neutrality (Cauz et al, 2020;Li et al, 2021). From a numerical perspective, the accumulated capacity of global wind power increased by a factor of 36.7 (from 16.9 to 621.6 GW) between 2000 and 2019.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Optimal Power Flow-Based Spectral Clustering Method Considering Variable Renewable Energy Sources

et al. 2022

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Power system clustering is an effective method for realizing voltage control and preventing failure propagation. Various approaches are used for power system clustering. Graph-theory-based spectral clustering methods are widely used because they follow a simple approach with a short calculation time. However, spectral clustering methods can only be applied in system environments for which the power generation amount and load are known. Moreover, it is often impossible to sufficiently reflect the influence of volatile power sources (e.g., renewable energy sources) in the clustering. To this end, this study proposes a probabilistic spectral clustering algorithm applicable to a power system, including a photovoltaic (PV) model (for volatile energy sources) and a classification method (for neutral buses). The algorithm applies a clustering method that reflects the random outputs of PV sources, and the neutral buses can be reclassified via clustering to obtain optimal clustering results. The algorithm is verified through an IEEE 118-bus test system, including PV sources.

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Adaptive Power Point Tracking Control of PV System for Primary Frequency Regulation of AC Microgrid With High PV Integration

Cited by 42 publications

References 44 publications

Optimal PID Tuning of PLL for PV Inverter Based on Aquila Optimizer

Optimal PID Tuning of PLL for PV Inverter Based on Aquila Optimizer

Active power control strategy based on characteristic curve fitting for photovoltaic sources

Probabilistic Optimal Power Flow-Based Spectral Clustering Method Considering Variable Renewable Energy Sources

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