A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities
This paper presents a fast power-setpoint tracking algorithm to enable utility-scale photovoltaic (PV) systems to provide high quality grid services such as power reserves and fast frequency response. The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT...
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| Veröffentlicht in: | IEEE transactions on sustainable energy 2022-01, Vol.13 (1), p.479-490 |
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| creator | Paduani, Victor Daldegan Yu, Hui Xu, Bei Lu, Ning |
| description | This paper presents a fast power-setpoint tracking algorithm to enable utility-scale photovoltaic (PV) systems to provide high quality grid services such as power reserves and fast frequency response. The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT) control to improve the performance of both algorithms, achieving fast and accurate PV power-setpoint tracking even under rapid solar irradiance changes. The MPPE is developed using a real-time, nonlinear curve-fitting approach based on the Levenberg-Marquardt algorithm. A modified adaptive FPPT based on the Perturb and Observe technique is developed for the power-setpoint tracking. By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations. Furthermore, to limit the maximum output power ripple, a new design is introduced for the steady-state voltage step size of the adaptive FPPT. The proposed algorithm is implemented on a testbed consisting of a 500 kVA three-phase, single-stage, utility-scale PV system on the OPAL-RT eMEGASIM platform. Results show that the proposed method outperforms the state-of-the-art. |
| doi_str_mv | 10.1109/TSTE.2021.3117688 |
| format | Article |
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The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT) control to improve the performance of both algorithms, achieving fast and accurate PV power-setpoint tracking even under rapid solar irradiance changes. The MPPE is developed using a real-time, nonlinear curve-fitting approach based on the Levenberg-Marquardt algorithm. A modified adaptive FPPT based on the Perturb and Observe technique is developed for the power-setpoint tracking. By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations. Furthermore, to limit the maximum output power ripple, a new design is introduced for the steady-state voltage step size of the adaptive FPPT. The proposed algorithm is implemented on a testbed consisting of a 500 kVA three-phase, single-stage, utility-scale PV system on the OPAL-RT eMEGASIM platform. Results show that the proposed method outperforms the state-of-the-art.</description><identifier>ISSN: 1949-3029</identifier><identifier>EISSN: 1949-3037</identifier><identifier>DOI: 10.1109/TSTE.2021.3117688</identifier><identifier>CODEN: ITSEAJ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Adaptive algorithms ; Algorithms ; Current measurement ; Curve fitting ; Energy & Fuels ; Engineering ; fast frequency response ; FPPT ; Frequency dependence ; Frequency response ; Inverter control ; Irradiance ; Mathematical models ; Maximum power tracking ; MPPE ; Photovoltaic cells ; Photovoltaics ; power curtailment ; power regulation ; power reserves ; PV system ; Real-time systems ; Reserves ; Science & Technology - Other Topics ; Steady-state ; Temperature measurement ; Tracking control ; Voltage measurement</subject><ispartof>IEEE transactions on sustainable energy, 2022-01, Vol.13 (1), p.479-490</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT) control to improve the performance of both algorithms, achieving fast and accurate PV power-setpoint tracking even under rapid solar irradiance changes. The MPPE is developed using a real-time, nonlinear curve-fitting approach based on the Levenberg-Marquardt algorithm. A modified adaptive FPPT based on the Perturb and Observe technique is developed for the power-setpoint tracking. By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations. Furthermore, to limit the maximum output power ripple, a new design is introduced for the steady-state voltage step size of the adaptive FPPT. The proposed algorithm is implemented on a testbed consisting of a 500 kVA three-phase, single-stage, utility-scale PV system on the OPAL-RT eMEGASIM platform. Results show that the proposed method outperforms the state-of-the-art.</description><subject>Adaptive algorithms</subject><subject>Algorithms</subject><subject>Current measurement</subject><subject>Curve fitting</subject><subject>Energy & Fuels</subject><subject>Engineering</subject><subject>fast frequency response</subject><subject>FPPT</subject><subject>Frequency dependence</subject><subject>Frequency response</subject><subject>Inverter control</subject><subject>Irradiance</subject><subject>Mathematical models</subject><subject>Maximum power tracking</subject><subject>MPPE</subject><subject>Photovoltaic cells</subject><subject>Photovoltaics</subject><subject>power curtailment</subject><subject>power regulation</subject><subject>power reserves</subject><subject>PV system</subject><subject>Real-time systems</subject><subject>Reserves</subject><subject>Science & Technology - Other Topics</subject><subject>Steady-state</subject><subject>Temperature measurement</subject><subject>Tracking control</subject><subject>Voltage measurement</subject><issn>1949-3029</issn><issn>1949-3037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kVFLwzAUhYsoKOoPEF-CPncmTZc2j2M4FQaK2_QxpMntjG5JTTJlP8D_bUrF-3Iv3O8cDpwsuyB4RAjmN8vF8nZU4IKMKCEVq-uD7ITwkucU0-rw_y74cXYewjtOQyllFJ9kPxO0sqY1oNGT-wafLyB2ztiIll6qD2PXaLJZO2_i2xa1zqNVNBsT9_lCyQ2gpxe02IcI24BeEzJ4oGcI4L8gIGk1mskQ0czD5w6s2ve_ztkAaCo72fReBsJZdtTKTYDzv32arWa3y-l9Pn-8e5hO5rlKaWMuy4YSYE1TY6IrzWoNrZQt5UQrzYBUBdGYataUrRqrqtYMj8uStrKpCwxJfJpdDb4uRCOCMhHUm3LWgoqC8BqPOU3Q9QB13qXQIYp3t_M25RIFI0XJOMdVoshAKe9C8NCKzput9HtBsOhbEX0rom9F_LWSNJeDxgDAP8_HDCdD-guj-4n1</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Paduani, Victor Daldegan</creator><creator>Yu, Hui</creator><creator>Xu, Bei</creator><creator>Lu, Ning</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| identifier | ISSN: 1949-3029 |
| ispartof | IEEE transactions on sustainable energy, 2022-01, Vol.13 (1), p.479-490 |
| issn | 1949-3029 1949-3037 |
| language | eng |
| recordid | cdi_osti_scitechconnect_1980593 |
| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive algorithms Algorithms Current measurement Curve fitting Energy & Fuels Engineering fast frequency response FPPT Frequency dependence Frequency response Inverter control Irradiance Mathematical models Maximum power tracking MPPE Photovoltaic cells Photovoltaics power curtailment power regulation power reserves PV system Real-time systems Reserves Science & Technology - Other Topics Steady-state Temperature measurement Tracking control Voltage measurement |
| title | A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities |
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