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Modified Ripple Correlation Control for Predictable Photovoltaic Off-Maximum Power Point Tracking

Event Type
Seminar/Symposium
Sponsor
Grainger CEME
Location
4070 ECEB
Date
Mar 12, 2018   1:00 - 1:50 pm  
Speaker
Jason Galtieri
Views
20

Slides

Video

 

Abstract

The ability to operate photovoltaic (PV) panels predictably at setpoints away from their maximum power point (MPP) opens a wide range of possibilities for PV control and support. However, off-MPP setpoints fail to satisfy many of the constraints conventional maximum power point trackers (MPPT) require to function correctly. In this talk, an off-MPPT strategy is presented which quickly finds the MPP current and voltage using ripple correlation control (RCC). The MPP data is then used to drive the controller to an attainable operating point. Several algorithms are presented for off-MPP operation including a current-mode controller and schemes, which modify the RCC to reach a new steady state. RCC utilizes the switching inherent in power converters to track the MPP and convergence time is dependent on the switching frequency. However, panel parasitics have typically limited switching frequency below 30 kHz. We present a capacitively-compensated RCC model to overcome this limitation and allow increased switching frequency.

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