An Improved Maximum Power Point Tracking Algorithm for dealing with Partial shading Problems
碩士 === 國立臺灣科技大學 === 電機工程系 === 102 === This thesis proposes a hybrid method that combines perturb-and -observe (P&;O) method and particle swarm optimization (PSO) method. The method can abbreviate convergent time when it is compared with only PSO method. P&;O method is easy to be implemented....
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/89548480400607836862 |
| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 102 === This thesis proposes a hybrid method that combines perturb-and -observe (P&;O) method and particle swarm optimization (PSO) method. The method can abbreviate convergent time when it is compared with only PSO method. P&;O method is easy to be implemented. It has great performance under non-shading scenario but may converge to local maximum power point (MPP) when partial shading occurs at the
photovoltaic (PV) module. PSO method does a good job at finding global maximum power point in the partial shading case; however it may fail when the irradiance change fast due to its slow-convergent time. We can keep advantages of those methods and eliminate their drawbacks by combining two methods.
Three different cases were simulated by a PV emulator to verify the MPPT tracking performance of the proposed method in partial-shading and non-shading conditions. An interleaved boost converter is used to achieve the hybrid method with output DC bus and resistive load. Digital signal processor (DSP) TMS320F28035 is the controller that implements both the hybrid method and original PSO method. The simulated and experimental results demonstrate the validity of the proposed method.
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