Case Study |
Impact of Extreme Weather Parameters on Optimum Sizing of Solar Photovoltaic-Battery Energy Storage Systems: A Case Study
Author(s): Gauri Karve*, Mangesh Thakre, and Geetanjali Vaidya
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 12, Issue 4
Publisher : FOREX Publication
Published : 15 December 2024
e-ISSN : 2347-470X
Page(s) : 1357-1563
Abstract
The performance of an off-grid solar Photovoltaic (PV) system with Battery Energy Storage (BES) depends on the system's location. Incorporating climatic variables such as solar irradiance, ambient and cell temperatures into the modelling of PV systems helps predict the system's appropriate behaviour. The paper discusses the impact of variations in seasonal irradiance, temperature, and system location on the optimum sizing of a standalone solar PV-BES system for minimum total annual cost using Improved Particle Swarm Optimization. Three locations: Pune (Maharashtra), Ladakh (Jammu and Kashmir), India, and Rafsanjan (Iran) with extreme weather conditions (winter and summer) are identified to analyze the effect for optimum sizing of PV-battery energy systems. In addition, the optimum system sizing is analyzed for lead acid and lithium-ion batteries for both seasons. The results indicate that the system's size and cost are significantly affected due to changes in location, temperature, and seasonal irradiance. Assuming the same load demand in both seasons, the number of lithium-ion batteries required is less than that of lead acid batteries, proving their cost-effectiveness. The study gives a comprehensive techno-economic analysis of the PV-BES system considering climatic variations at three locations for two battery chemistries.
Keywords: Extreme weather parameters
, Optimum sizing
, Solar photovoltaic
, Battery energy storage
, Total annual cost
.
Gauri Karve*, Department of Electrical Engineering, PVG’s COET & GKPIOM, Pune, Maharashtra, India; Email: gmk_elect@pvgcoet.ac.in
Mangesh Thakre, Department of Electrical Engineering, PVG’s COET & GKPIOM, Pune, Maharashtra, India
Geetanjali Vaidya, SAS Powertech Pvt Ltd, Baner, Pune, Maharashtra, India; Email: geetvaidya@gmail.com
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[1] Ma, T. and M. Javed, Integrated sizing of hybrid PV-wind-battery system for remote island considering the saturation of each renewable energy resource. Energy Conversion and Management, 2019. 182: p. 178-190.
-
[2] Byamukama, M., et al., New techniques for sizing solar photovoltaic panels for environment monitoring sensor nodes. Journal of Sensors, 2019. 2019(1): p. 9835138.
-
[3] Bhattacharya, T., A.K. Chakraborty, and K. Pal, Effects of Ambient Temperature and Wind Speed on Performance of Monocrystalline Solar Photovoltaic Module in Tripura, India. Journal of Solar Energy, 2014. 2014(1): p. 817078.
-
[4] Shams, H., J. Yu, and A.W. Shamas, Modeling and simulation of PV system with three phase inverter along PV, IV curves using MATLAB/Simulink. International Journal of Smart Grid-ijSmartGrid, 2023. 7(4): p. 208-217.
-
[5] Karafil, A., H. Ozbay, and M. Kesler, Temperature and Solar Radiation Effects on Photovoltaic Panel Power. Journal of New Results in Science, 2016. 5: p. 48-58.
-
[6] Mandadapu, U., V. Vedanayakam, and K. Thyagarajan, Effect of temperature and irradiance on the electrical performance of a pv module. International Journal of Advanced Research, 2017. 5(7): p. 2018-2027.
-
[7] Rani, S., S. Giridhar, and S. Prasad, Effect of temperature and irradiance on solar module performance. IOSR Journal of Electrical and Electronics Engineering, 2018. 13(2): p. 36-40.
-
[8] Skoplaki, E. and J.A. Palyvos, On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations. Solar Energy, 2009. 83(5): p. 614-624.
-
[9] Maleki, A. and A. Askarzadeh, Comparative study of artificial intelligence techniques for sizing of a hydrogen-based stand-alone photovoltaic/wind hybrid system. International Journal of Hydrogen Energy, 2014. 39(19): p. 9973-9984.
-
[10] Dubey, S., J.N. Sarvaiya, and B. Seshadri, Temperature Dependent Photovoltaic (PV) Efficiency and Its Effect on PV Production in the World – A Review. Energy Procedia, 2013. 33: p. 311-321.
-
[11] Farayola, A., Y. Sun, and A. Ali, ANN-PSO Optimization of PV Systems Under Different Weather Conditions, in 7th International Conference on Renewable Energy Research and ApplicationsAt: . 2018: Paris, France. p. 1363-1368.
-
[12] Zhang, N., N.-C. Yang, and J.-H. Liu, Optimal Sizing of PV/Wind/Battery Hybrid Microgrids Considering Lifetime of Battery Banks. Energies, 2021. 14: p. 6655.
-
[13] Bandyopadhyay, S., et al., Techno-economical Model based Optimal Sizing of PV-Battery Systems for Microgrids. IEEE Transactions on Sustainable Energy, 2019. 11: p. 1657-1668.
-
[14] Maleki, A., M. Ameri, and F. Keynia, Scrutiny of multifarious particle swarm optimization for finding the optimal size of a PV/wind/battery hybrid system. Renewable Energy, 2015. 80: p. 552-563.
-
[15] Bhuiyan, M.M. and M. Asgar, Sizing of a stand-alone photovoltaic power system at Dhaka. Renewable Energy, 2003. 28: p. 929-938.
-
[16] Traoré, A., H. Elgothamy, and M. Zohdy, Optimal Sizing of Solar/Wind Hybrid Off-Grid Microgrids Using an Enhanced Genetic Algorithm. Journal of Power and Energy Engineering, 2018. 6: p. 64-77.
-
[17] Maleki, A., Optimization based on modified swarm intelligence techniques for a stand-alone hybrid photovoltaic/diesel/battery system. Sustainable Energy Technologies and Assessments, 2022. 51: p. 101856.
-
[18] Dai, Q., J. Liu, and Q. Wei, Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm. Sustainability, 2019. 11(7): p. 1973.
-
[19] Kaabeche, A., S. Diaf, and R. Ibtiouen, Firefly-inspired algorithm for optimal sizing of renewable hybrid system considering reliability criteria. Solar Energy, 2017. 155: p. 727-738.
-
[20] Liu, J., et al., Impact of climate on photovoltaic battery energy storage system optimization. Renewable Energy, 2022. 191: p. 625-638.
-
[21] Bošnjaković, M., et al., Effects of Extreme Weather Conditions on PV Systems. Sustainability, 2023. 15(22): p. 16044.
-
[22] Karve, G., K. Kurundkar, and G. Vaidya, Implementation of Analytical Method and Improved Particle Swarm Optimization Method for Optimal Sizing of a Standalone PV/Wind and Battery Energy Storage Hybrid System, in IEEE 5th International Conference for Convergence in Technology (I2CT). 2019, IEEE: Pune. p. 1-5.
-
[23] (NREL), N.R.E.L. SOLAR RESOURCE DATA. [cited 2024; Available from: https://pvwatts.nrel.gov/pvwatts.php.
-
[24] Xu, Q., Modified particle swarm optimization algorithm and its application in neural network. Journal of Physics: Conference Series, 2020. 1682: p. 012015.
-
[25] El Boujdaini, L., et al., Sizing of a stand-alone PV–wind–battery–diesel hybrid energy system and optimal combination using a particle swarm optimization algorithm. Electrical Engineering, 2022. 104(5): p. 3339-3359.
-
[26] Djidimbélé, R., et al., Optimal sizing of hybrid Systems for Power loss Reduction and Voltage improvement using PSO algorithm: Case study of Guissia Rural Grid. Energy Reports, 2022. 8.