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Extraction of uncertain parameters of single-diode model of a photovoltaic panel using simulated annealing optimization
摘要： In this article, our goal is to improve the estimation of the parameters of solar photovoltaic models, we propose a method based on Simulated Annealing (SA) Optimization, the proposed algorithm takes into account the uncertainties of measurements. This algorithm consists of three steps such as the extraction of the parameters in a conventional manner, then the determination of the uncertainties of each parameter, finally the determination of the instantaneous parameters taking into account the results of the first two steps. For the validation of the proposed theoretical developments, the algorithm is applied to four different PV parameter estimation problems. The results obtained are compared with well-established algorithms to confirm its effectiveness. These comparisons have shown that the proposed method exhibits largely effective performances than existing methods in the literature.
关键词： Uncertainties measurements,Photovoltaic model,Simulated annealing optimization,Parameter estimation
更新于2025-09-23 15:19:57
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Optimization strategy for high efficiency 20?kW-class direct coupled photovoltaic-electrolyzer system based on experiment data
摘要： For the first time worldwide, the PEM electrolyzer directly coupled with the up-to-20 kW PV panels to produce hydrogen is reported as a demonstration of a high solar-to-hydrogen (STH) efficiency CO2-free hydrogen-production system. With the direct-coupling configuration, the power loss on an interlink DC/DC converter and its cost are avoided as known. Since the maximum power point (MPP) of PV unit is fluctuated by the fluctuating irradiance, this MPP is tracked by changing the number of the electrolyzer cell controlled by the MPPT algorithm, which allows changing the PV operating voltage. In our system, the averaged PV efficiency is 17.2%, and the electrolysis efficiency is 86.5% in a whole-day test. Thus, the STH efficiency is 14.9%. The hydrogen generation capacity of 18.6 Nm3 (5.01 kg CO2 reduction) is demonstrated in that whole-day test. Besides, the method to make the simulation model of the system from on-site data is shown. As a result, neither the preliminary test nor off-site test is needed. Therefore, this method can be used to check the condition of the entire system and each component in long-term operation which has never been found in the literature. The simulated model can also be used to investigate the PV-electrolyzer system.
关键词： Direct coupling,MPPT,Water electrolyzer model,Photovoltaic model,Hydrogen producing
更新于2025-09-16 10:30:52
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[IEEE 2019 International Conference on System Science and Engineering (ICSSE) - Dong Hoi, Vietnam (2019.7.20-2019.7.21)] 2019 International Conference on System Science and Engineering (ICSSE) - A Method to Estimate the Yield of Photovoltaic Power Plant Solely in MATLAB/Simulink
摘要： The Yield of photovoltaic power plant grid-connected depends upon seasonable variation of solar radiation, system loss, soiling loss, and loss of inverter. This paper presents a method to estimate the yield of photovoltaic power plant solely in MATLAB/Simulink. The yield of photovoltaic power plant grid-connected has been developed based on the photovoltaic model, loss model. In this case, the 1MW solar power plant connected in the grid in three locations in Vietnam have been simulated with the weather season variable and compared with PVGIS software. From the result, the total yield of photovoltaic power plant connected into the grid is range 1180.16 to 1247.42 MWh/Year with the losses system is 28% including losses of system and irradiance losses. Furthermore, the gap between this systems compared with PVGIS software is range -1.47 to 4.64 MWh/Month.
关键词： Yield model,Losses model,Photovoltaic model
更新于2025-09-11 14:15:04
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Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization
摘要： Photovoltaic (PV) models’ parameter extraction with the tested current-voltage values is vital for the optimization, control, and evaluation of the PV systems. To reliably and accurately extract their parameters, this paper presents one improved moths-flames optimization (IMFO) method. In the IMFO, a double flames generation (DFG) strategy is proposed to generate two different types of target flames for guiding the flying of moths. Furthermore, two different update strategies are developed for updating the positions of moths. To greatly balance the exploitation and exploration, we adopt a probability to rationally select one of the two update strategies for each moth at each iteration. The proposed IMFO is used to distinguish the parameter of three test PV models including single diode model (SDM), double diode model (DDM), and PV module model (PMM). The results indicate that, compared with other well-established methods, the proposed IMFO can obtain an extremely promising performance.
关键词： moth-flame optimization,photovoltaic model,parameter extraction,double flames generation (DFG) strategy
更新于2025-09-11 14:15:04