Doğrusal Yükleri Besleyen Şebeke Bağlantılı PV/Akü Sisteminin Tasarımı ve Tam/Kısmi Gölgelenme Durumlarında Performans Analizi
Yenilenebilir enerji kaynaklarının kullanımı son yıllarda hızla artmaktadır. Bu durum sonucunda PV paneller ile günlük hayatta birçok uygulamada karşılaşılmaktadır. PV sistemlerin performansı çevre ve hava durumu gibi etmenlerden büyük oranda etkilenmektedir. Buna örnek olarak bulutlar, tozlanma, kar gibi nedenlerle meydana gelen gölgelenme veya kısmi gölgelenme durumlarının PV sistemlerin maksimum güç noktalarında çalışmasına neden olması gösterilebilir. Bu çalışmada bu durumun sonuçlarını incelemek üzere şebeke bağlantılı ve doğrusal yükleri besleyen bir PV/Akü sisteminin modellemesi yapılmıştır. Önerilen sistemin PSCAD ile benzetim çalışmaları yapılmış ve farklı gölgelenme senaryoları için performansı incelenmiştir. Benzetim çalışmaları sonucunda PV sistemin maksimum güç noktası izlemesi (MPPT) için kullanılan hata & gözlem (P&O) algoritmasının PV sistemin yerel maksimum noktalarında takılıp düşük verimle çalıştığı gözlenmiştir.
Modeling and Performance Analysis of Grid Tied Photovoltaic Panel/Battery System Feeding Linear Loads on Complete/Partial Shading Conditions
The use of renewable energy sources has been increasing rapidly in recent years. As a result of this situation, PV panels are encountered in many applications in daily life. The performance of PV systems is greatly influenced by factors such as the environment and the weather. Examples include shading or partial shading conditions due to clouding, dusting and snow that cause PV systems not to operate at maximum power points. In this study, in order to analyze the results of these conditions modelling of a grid connected PV/Battery system feeding linear loads was performed. The proposed system simulated via PSCAD and the performance analysis of the system under different shading scenarios was conducted. As a result of simulation studies, it is observed that perturb and observe (P&O) algorithm used for maximum power point tracking was stuck at local maximum power points and the PV system operated at low efficiency.
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- Mohapatra, A., Nayak, B., Das, P., Mohanty,
K.B., 2017. A Review on MPPT Techniques of
PV System Under Partial Shading Condition
Renewable and Sustainable Energy Reviews,
80, 854-86
- Ishaque, K., Salam, Z., 2013. A Review of
Maximum Power Point Tracking Techniques of
PV System for Uniform Insolation and Partial
Shading Condition, Renewable and Sustainable
Energy Reviews, 19, 475-488.
- Guichi, A., Talha, A., Berkouk, E.M., Mekhilef,
S., Gassab, S., 2018. A New Method for
Intermediate Power Point Tracking for PV
Generator Under Partially Shaded Conditions in
Hybrid System, Solar Energy, 170, 974-987.
- Goud, J.S., Kalpana, R., Singh, B., 2018. A
Hybrid Global Maximum Power Point Tracking
Technique With Fast Convergence Speed for
Partial-Shaded PV Systems, IEEE Transactions
on Industry Applications, 54, 5367-5376.
- Farzaneh, J., Keypour, R., Khanesar, M.A.,
2018. A New Maximum Power Point Tracking
Based on Modified Firefly Algorithm for PV
System Under Partial Shading Conditions,
Technology and Economics of Smart Grids and
Sustainable Energy, Vol. 3.
- Tang, R., 2017. Large-scale Photovoltaic
System on Green Ship and its MPPT
Controlling, Solar Energy, 157, 614-628.
- Ramyar, A., Iman-Eini, H., Farhangi, S., 2017.
Global Maximum Power Point Tracking
Method for Photovoltaic Arrays under Partial
Shading Conditions, IEEE Transactions on
Industrial Electronics, 64, 2855-2864.
- Belhaouas, N., Cheikh, M.S.A., Agathoklis, P.,
Oularbi, M.R., Amrouche, B., Sedraoui, K., et
al., 2017. PV Array Power Output
Maximization Under Partial Shading Using
New Shifted PV Array Arrangements, Applied
Energy, 187, 326-337.
- Wang, Y., Li, Y., Ruan, X., 2016. High-
Accuracy and Fast-Speed MPPT Methods for
PV String under Partially Shaded Conditions,
IEEE Transactions on Industrial Electronics, 63,
235-245.
- Pati, A.K., Sahoo, N.C., 2016. A New Approach
in Maximum Power Point Tracking for a
Photovoltaic Array With Power Management
System Using Fibonacci Search Algorithm
Under Partial Shading Conditions, Energy
Systems, 7, 145-172.
- Ghasemi, M. A., Mohammadian Foroushani, H.,
Parniani, M., 2016. Partial Shading Detection
and Smooth Maximum Power Point Tracking of
PV Arrays Under PSC, IEEE Transactions on
Power Electronics, 31,
6281-6292
- Sabillon, C., Franco, J.F., Rider, M.J., Romero,
R., 2018. Joint Optimal Operation of
Photovoltaic Units and Electric Vehicles in
Residential Networks With Storage Systems: A
Dynamic Scheduling Method, International
Journal of Electrical Power & Energy Systems,
103, 136-145.
- Sani Hassan, A., Cipcigan, L., Jenkins, N.,
2017. Optimal Battery Storage Operation for PV
Systems with Tariff Incentives, Applied Energy,
203, 422-441.
- Numbi, B.P., Malinga, S.J., 2017. Optimal
Energy Cost and Economic Analysis of a
Residential Grid-interactive Solar PV System-
case of eThekwini Municipality in South Africa,
Applied Energy, 186, 28-45.
- Kumar, N., Hussain, I., Singh, B., Panigrahi,
B.K., 2017. Single Sensor-Based MPPT of
Partially Shaded PV System for Battery Charging by Using Cauchy and Gaussian Sine
Cosine Optimization, IEEE Transactions on
Energy Conversion, 32, 983-992.
- Karimi, Y., Oraee, H., Golsorkhi, M.S.,
Guerrero, J.M., 2017. Decentralized Method for
Load Sharing and Power Management in a
PV/Battery Hybrid Source Islanded Microgrid,
IEEE Transactions on Power Electronics, 32,
3525-3535.
- Badawy M.O., Sozer Y., 2017. Power Flow
Management of a Grid Tied PV-Battery System
for Electric Vehicles Charging, IEEE
Transactions on Industry Applications, 53,
1347-1357.
- Mao, M., Zhou, L., Yang, Z., Zhang, Q., Zheng,
C., Xie, B., Wan, Y., 2019. A Hybrid Intelligent
GMPPT Algorithm for Partial Shading PV
System. Control Engineering Practice, 83,
108-115.
- Liu, S.Y., Dougal, R.A., 2002. Dynamic
Multiphysics Model for Solar Array, Ieee
Transactions on Energy Conversion, 17,
285-294,
- Tremblay, O., Dessaint, L.A., Dekkiche, A.I.,
2007. A Generic Battery Model for the Dynamic
Simulation of Hybrid Electric Vehicles, 2007
Ieee Vehicle Power and Propulsion Conference,
1-2, 284-289.