Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88781
Title: A general algorithm for flexible active power control of photovoltaic systems
Authors: Dehghani Tafti, Hossein
Sangwongwanich, Ariya
Yang, Yongheng
Konstantinou, Georgios
Pou, Josep
Blaabjerg, Frede
Keywords: Maximum Power Point Trackers
Heuristic Algorithms
Issue Date: 2018
Source: Dehghani Tafti, H., Sangwongwanich, A., Yang, Y., Konstantinou, G., Pou, J., & Blaabjerg, F. (2018). A general algorithm for flexible active power control of photovoltaic systems. 2018 IEEE Applied Power Electronics Conference and Exposition (APEC), San Antonio, TX, USA, USA.
Abstract: The maximum power point tracking (MPPT) is generally implemented in grid-connected photovoltaic (PV) power plants to maximize the energy yield. However, as the penetration level increases, challenging issues such as overloading and overvoltage arise in PV applications. Accordingly, a constant power generation (CPG) operation, in which the PV output power is limited to a specific value, has been imposed by some grid regulators to alleviate the integration challenges. In that case, the combined operation of MPPT and CPG is required, which increases the complexity of the controller design. To generalize the two control objectives, a flexible active power control algorithm that combines both MPPT and CPG operating modes is proposed. The proposed algorithm can optimize the performance in both modes (i.e., MPPT and CPG). By adjusting the voltage-step between two consecutive operating points, fast dynamics and low-power oscillations can be obtained. The performance of the proposed strategy is evaluated through simulations and experiments under different irradiance and power reference profiles.
URI: https://hdl.handle.net/10356/88781
http://hdl.handle.net/10220/44715
DOI: 10.1109/APEC.2018.8341156
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/APEC.2018.8341156].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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