رديابي حداكثر نقطه بهينه توان سلول خورشيدي در شرايط سايه جزيي با الگوريتم ژنتيك-ذرات و روش P O

Maximum Power Point Tracking of Photovoltaic Cells in Partial Shading Condition by GAPSO and P O method

انرژي هاي تجديد پذير با توجه به سازگاري با مسايل زيست محيطي و هزينه هاي پايين توليد آنها در مقايسه با محدوديت هاي سوخت هاي فسيلي بسيار قابل توجه هستند. انرژي بادي و انرژي خورشيدي از منابع تجديد پذيري هستند كه بسيار جديدا مورد توجه قرار گرفته و براي رديابي حداكثر توان توليدي آنها روش هاي مختلفي ارايه شده است. در اين مقاله به بررسي سلول هاي خورشيدي پرداخته شده است. سلول هاي خورشيدي با توجه به مقدار تابش خورشيد توان متفاوتي توليد ميكنند و براي دستيابي به حداكثر توان توليدي آنها نياز به كنترل كننده است. تاكنون روش هاي بسيار مطلوب براي MPPT يا رديابي حداكثر توان توليدي PV ارايه شده است كه همه در شرايط تابش 1000W/m3 طراحي و بررسي شده اند. روش PO يكي از اين روشهاست كه علاوه بر سادگي و سهولت در اجرا و برنامه ريزي، دقت بالايي هم در رديابي توان دارد. در اين مقاله پيشنهاد مي گردد كه PSO با الگوريتم GA تركيب شود و سپس از الگوريتم PO براي افزايش حداكثري دقت جستجو استفاده گردد. نتايج شبيه سازي نشان مي دهد كه استفاده از الگوريتم تركيبي PSO_GA برخي نواقص PSO را جبران مي نمايد

Renewable energies are remarkable due to adaptation to environmental issues and their low costs of generation compared to fossil fuel limitations. Wind energy and Photovoltaic energy are among renewable sources that have been very recently considered, and various methods have been presented to track their maximum generation power. Photovoltaic cells have been examined in this study. Photovoltaic cells generate different power due to the amount of Photovoltaic radiation, and controller is needed to achieve their maximum power of generation. Up to now, very desirable methods have been presented for MPPT or tracking of maximum PV generation power, that all of them have been designed and examined in 1000W / m3 radiation conditions. The PO method is one of these methods, which, in addition to simplicity and ease of implementation and planning, has a high degree of accuracy in power tracking. It is proposed in this thesis, that PSO to be combined with the GA algorithm and then PO algorithm is used to maximize the search precision. Simulation results show that using the PSO_GA hybrid algorithm compensates for some of the PSO deficiencies. For example, causes to decrease the oscillation of power and reaches to near the maximum power point in much less repetition. But it has not had optimal and ideal accuracy, and a slight fault has been observed in the PSO_GA output. Therefore, the search is continued by PO algorithm in order to reach near the MPP by fine- accurate searching after the PSO_GA algorithm reaches around the maximum power point . The optimization results show that this kind of optimization is very favorable and has much better results