An adaptive incremental conductance MPPT based on BELBIC controller in photovoltaic systems
作者： Saeed Azimi , Behzad Mirzaeian dehkordi , Mehdi Niroomand
DOI: 10.1109/IRANIANCEE.2012.6292378
关键词:
摘要: Many conventional incremental conductance (INC) methods are used for maximum power point tracking (MPPT) of photovoltaic (PV) arrays. In these the step size determines speed MPPT. Fast can be achieved with bigger increments but system might not operate exactly at MPP and may oscillate about it instead; so there is a tradeoff between time needed to reach oscillation error. The main purpose this paper present an adaptive in INC improve solar array performance. Conventional proportional integral (PI) controller applied PV output voltage terminals; however, brain emotional learning based intelligent (BELBIC) as INC. This decrease error, will considerable increase accuracy. At end, effectiveness proposed method verified by simulation results different operating conditions comparing them method.
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