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Considering the recent drop (up to 86%) in photovoltaic (PV) module prices from 2010 to 2017, many countries have shown interest in investing in PV plants to meet their energy demand. In this study, a detailed design methodology is presented to achieve high benefits with low installation, maintenance and operation costs of PV plants. This procedure includes in detail the semi-hourly average time meteorological data from the location to maximise the accuracy and detailed characteristics of different PV modules and inverters. The minimum levelised cost of energy (LCOE) and maximum annual energy are the objective functions in this proposed procedure, whereas the design variables are the number of series and parallel PV modules, the number of PV module lines per row, tilt angle and orientation, inter-row space, PV module type, and inverter structure. The design problem was solved using a recent hybrid algorithm, namely, the grey wolf optimiser-sine cosine algorithm. The high performance for LCOE-based design optimisation in economic terms with lower installation, maintenance and operation costs than that resulting from the use of maximum annual energy objective function by 12%. Moreover, sensitivity analysis showed that the PV plant performance can be improved by decreasing the PV module annual reduction coefficient.
Tekai Eddine Khalil Zidane; Mohd Rafi Adzman; Mohammad Faridun Naim Tajuddin; Samila Mat Zali; Ali Durusu; Saad Mekhilef. Optimal Design of Photovoltaic Power Plant Using Hybrid Optimisation: A Case of South Algeria. Energies 2020, 13, 2776 .
AMA StyleTekai Eddine Khalil Zidane, Mohd Rafi Adzman, Mohammad Faridun Naim Tajuddin, Samila Mat Zali, Ali Durusu, Saad Mekhilef. Optimal Design of Photovoltaic Power Plant Using Hybrid Optimisation: A Case of South Algeria. Energies. 2020; 13 (11):2776.
Chicago/Turabian StyleTekai Eddine Khalil Zidane; Mohd Rafi Adzman; Mohammad Faridun Naim Tajuddin; Samila Mat Zali; Ali Durusu; Saad Mekhilef. 2020. "Optimal Design of Photovoltaic Power Plant Using Hybrid Optimisation: A Case of South Algeria." Energies 13, no. 11: 2776.
At present, photovoltaic (PV) power plants are growing rapidly to respond to the high demand for energy. In this case, improving the levelized cost of electricity (LCOE) and produced energy for PV power plants is a complicated design tradeoff that involves several parameters, such as meteorological data variation, nonlinear operation of the PV plant components, inverter types, and PV module efficiency. Hence, this study intended to present the application of recent meta-heuristic techniques, namely, salp swarm algorithm (SSA), whale optimization algorithm (WOA), and grey wolf optimization (GWO), for two different cases. The technology of crystalline silicon (c-Si) and thin-film cadmium telluride (CdTe) PV modules is adopted for economic considerations and to determine the suitable PV module for the PV power plant. The optimization process is considered to minimize the LCOE and suggest the optimal sizing of PV modules and inverters on the basis of several candidates and their arrangement within the available area with optimal PV module tilt angle and orientation, as well as the optimal distribution of PV modules among the inverters. The new approaches have been compared with particle swarm optimization (PSO) algorithm. The proposed technique (GWO) shows significant results compared with other methods (PSO) in solving the optimal design of the PV power plant. The PV plant LCOE using thin-film (CdTe) has the lowest value compared to crystalline silicon (c-Si). The PV module efficiency and technology affect the overall dimension of the PV power plant.
Tekai Eddine Khalil Zidane; Mohd Rafi Bin Adzman; Mohammad Faridun Naim Tajuddin; Samila Mat Zali; Ali Durusu. Optimal configuration of photovoltaic power plant using grey wolf optimizer: A comparative analysis considering CdTe and c-Si PV modules. Solar Energy 2019, 188, 247 -257.
AMA StyleTekai Eddine Khalil Zidane, Mohd Rafi Bin Adzman, Mohammad Faridun Naim Tajuddin, Samila Mat Zali, Ali Durusu. Optimal configuration of photovoltaic power plant using grey wolf optimizer: A comparative analysis considering CdTe and c-Si PV modules. Solar Energy. 2019; 188 ():247-257.
Chicago/Turabian StyleTekai Eddine Khalil Zidane; Mohd Rafi Bin Adzman; Mohammad Faridun Naim Tajuddin; Samila Mat Zali; Ali Durusu. 2019. "Optimal configuration of photovoltaic power plant using grey wolf optimizer: A comparative analysis considering CdTe and c-Si PV modules." Solar Energy 188, no. : 247-257.