Abstract
The main aspiration of this paper is to improve the efficiency of Solar Photovoltaic (SPV) power system with a new Hybrid controller for standalone/isolated Solar PV applications is proposed. This controller uses the merits of both Adapted Neuro-Fuzzy Inference System (ANFIS) and Perturbation & Observation (P&O) control techniques to concede rapid recovery at dynamic change of environment conditions such as solar irradiation and temperature. The ANFIS strategy itself has the merits over Fuzzy Logic and ANN methods. Conversely, P&O has its simplicity in implementation. Hence a case study for rapid recovery with the proposed controller and conventional P&O control strategy is carried out in this work. A SPV Module is associated to a load resistance with an interface of DC-DC step-up converter. A pattern of solar irradiation comprises of different static, dynamic, slow but sure increase with positive and negative slope are applied to the system and the response is observed. The proposed method is having the benefits of both P&O and ANFIS respectively to get better results on rapid change over conditions. The performance comparison of various MPPT algorithm of existing methods. The outcome demonstrates that the proposed hybrid-controller converges so rapid than the conventional P&O controller at dynamic situations and obeys at static and gradually varying environment conditions.
Highlights
IntroductionRenewable electricity from Solar Photovoltaic (SPV) is the most ecological type of electricity to use
Renewable electricity from Solar Photovoltaic (SPV) is the most ecological type of electricity to use.The energy from the sun can be used for many purposes like evaporation of water main to rain, advent of rivers and photosynthesizing plants
This controller uses the merits of both Adapted Neuro-Fuzzy Inference System (ANFIS) and Perturbation & Observation (P&O) control techniques to concede rapid recovery at dynamic change of environment conditions such as solar irradiation and temperature
Summary
Renewable electricity from Solar Photovoltaic (SPV) is the most ecological type of electricity to use. The energy from the sun can be used for many purposes like evaporation of water main to rain, advent of rivers and photosynthesizing plants. Sooner or later negligible small fraction of power can be used for conversion of electricity to electric strength. Radio, TV, refrigeration, water pumping, water desalinization, water purification, PV for schools are the applications of isolated or stand-alone PV system and it was carried for single panel only. The large rating of plant based testing is necessary [1,2]. A Solar PV system converts sun energy in the structure of irradiation and temperature into electrical energy. Even though Solar PV system has its own drawbacks of high installation cost, low efficiency rate
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