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An Improved Photovoltaic Power Reserve Control With Rapid Real-Time Available Power Estimation and Drift Avoidance | IEEE Journals & Magazine | IEEE Xplore

An Improved Photovoltaic Power Reserve Control With Rapid Real-Time Available Power Estimation and Drift Avoidance


Abstract:

The main challenges in designing the power reserve control (PRC) lie in the rapid estimation of the maximum available power (P_\mathrm{avi}) in real time and effective ...Show More

Abstract:

The main challenges in designing the power reserve control (PRC) lie in the rapid estimation of the maximum available power (P_\mathrm{avi}) in real time and effective drift avoidance under the condition of fast-changing irradiation. Conventional PRC strategies utilize direct measurement or curve-fitting-based estimation to determine the P_\mathrm{avi}, which shows obvious limitations, such as extra hardware, implementation complexity, and slow estimation speed. Meanwhile, the drifted reserved power (\Delta P) may deteriorate the dynamic response performance, bring high dc-link overvoltage risk, and affect the system operation stability due to the voltage-step-\Delta P regulation mechanism in conventional PRC methods. To address these issues, an improved PRC strategy with a fast \Delta P transient mechanism is proposed with the rapid estimation of P_\mathrm{avi} through just one pair of photovoltaic (PV) voltage and current sampling. Thus, the proposed algorithm is cost-effective, easy to implement, and compatible with existing PV systems since no additional hardware components are required. Moreover, the proposed PRC breaks through the inherent limitation of the voltage-step-\Delta P mechanism, which can ensure the \Delta P drift mitigation even under fast-changing weather conditions. Main experimental comparisons with other advanced PRC strategies were conducted to verify the advantages of the proposed algorithm in terms of rapid real-time available power estimation and drift avoidance.
Published in: IEEE Transactions on Industrial Electronics ( Volume: 70, Issue: 11, November 2023)
Page(s): 11287 - 11298
Date of Publication: 28 December 2022

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