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A Dual-Discrete Model Predictive Control-based MPPT for PV systems
摘要： This paper presents a method that overcomes the problem of the confusion during fast irradiance change in the classical MPPTs as well as in model predictive control (MPC)-based MPPTs available in the literature. The previously introduced MPC-based MPPTs take into account the model of the converter only, which make them prone to the drift during fast environmental conditions. Therefore, the model of the PV array is also considered in the proposed algorithm, which allows it to be prompt during rapid environmental condition changes. It takes into account multiple previous samples of power, and based on that is able to take the correct tracking decision when the predicted and measured power differ (in case of drift issue). After the tracking decision is taken, it will be sent to a second part of the algorithm as a reference. The second part is used for following the reference provided by the first part, where the pulses are sent directly to the converter, without a modulator or a linear controller. The proposed technique is validated experimentally by using a buck converter, fed by a PV simulator. The tracking efficiency is evaluated according to EN50530 standard in static and dynamic conditions. The experimental results show that the proposed MPC-MPPT is a quick and accurate tracker under very fast changing irradiance, while maintaining high tracking efficiency even under very low irradiance.
关键词： Buck converter,dc-dc power conversion,Photovoltaic systems,Double cost function,Maximum power point tracking,Drift,EN50530 standard,MPC
更新于2025-09-23 15:22:29
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Real-Time MPPT Optimization of PV Systems by Means of DCD-RLS Based Identification
摘要： Maximum power point tracking (MPPT) algorithms continuously change duty cycle of a power converter to extract maximum power from photovoltaic (PV) panels. In all of MPPT methods, two parameters, i.e. perturbation period (Tp) and amplitude (ΔD) have a great effect on speed and accuracy of MPPT. Optimum value of the perturbation period is equal to the system settling time which is the system model-dependent parameter. Since the system model varies according to the change of irradiance level and temperature, the value of Tp has to be determined online. In this paper, the parametric identification method is adopted to identify the online value of Tp. The proposed method is based on the dichotomous coordinate descent-recursive least squares (DCD-RLS) algorithm and uses an infinite impulse response (IIR) adaptive filter as the system model. Computation of this algorithm is based on an efficient, fixed-point, and iterative approach with no explicit division operations; these features are highly suitable for online applications. As a result, the proposed method compared to previous works leads to more accurate and faster identification of the system settling time. In order to test and validate the proposed method, it has been simulated and implemented to be further validated with experimental data.
关键词： Photovoltaic Systems,Perturbation Period,Recursive Least Squares (RLS),Dichotomous Coordinate Descent (DCD),Maximum Power Point Tracking (MPPT),System Identification
更新于2025-09-23 15:21:21
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[IEEE 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Gramado, Brazil (2019.9.15-2019.9.18)] 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Power Flow Analysis on Networks with High Integration of Distributed Photovoltaic Generation
摘要： This article proposes the use of a controlled current source as a photovoltaic generator, due the fact that recent work shows that this choice provides faster processing speed and agile implementation to obtain the power ?ow. This phasorial analysis will be tested using, with some considerations, the 13-Node Test Feeder topology and its input data. Initially, no distributed generation will be considered connected to the feeder and, for a second analysis, photovoltaic distributed generation will be inserted in the system to perform the power ?ow calculation with the proposed model. The reference simulator will be the Knowledge’s Virtual Academy (KVA), because it is a free-access software with a high-level solver to perform the numerical calculation. While the proposed methodology will be implemented in the sotfware Matlab. This study compares and analyze the voltage magnitude, mainly, and angle values obtained for both methods, the KVA result and the proposed method, for the scenarios with and without distributed generation.
关键词： Photovoltaic systems,Electric power systems,Computational system,Power ?ow
更新于2025-09-23 15:21:01
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Dynamic life cycle economic and environmental assessment of residential solar photovoltaic systems
摘要： With the increasing implementation of solar photovoltaic (PV) systems, comprehensive methods and tools are required to dynamically assess their economic and environmental costs and benefits under varied spatial and temporal contexts. This study integrated system dynamics modeling with life cycle assessment and life cycle cost assessment to evaluate the cumulative energy demand, carbon footprint, water footprint, and life cycle cost of residential grid-connected (GC) and standalone (SA) solar PV systems. The system dynamics model was specifically used for simulating the hourly solar energy generation, use, and storage during the use phase of the solar PVs. The modeling framework was then applied to a residential prototype house in Boston, MA to investigate various PV panel and battery sizing scenarios. When the SA design is under consideration, the maximum life cycle economic saving can be achieved with 20 panels with no battery in the prototype house, which increases the life cycle economic savings by 511.6% as compared to a baseline system sized based upon the engineering rule-of-thumb (40 panels and 40 batteries), yet decreases the demand met by 55.7%. However, the optimized environmental performance was achieved with significantly larger panel (up to 300 units) and battery (up to 320 units) sizes. These optimized configurations increase the life cycle environmental savings of the baseline system by up to 64.6%, but significantly decrease the life cycle economic saving by up to 6868.4%. There is a clear environmental and economic tradeoff when sizing the SA systems. When the GC system design is under consideration, both the economic and environmental benefits are the highest when no battery is installed, and the benefits increase with the increase of panel size. However, when policy constraints such as limitations/caps of grid sell are in place, tradeoffs would present as whether or not to install batteries for excess energy storage.
关键词： Grid-connected and standalone PV systems,Life cycle costing,System dynamics modeling,Battery storage,Solar photovoltaic systems,Life cycle assessment
更新于2025-09-23 15:21:01
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Energy Payback Time of a Rooftop Photovoltaic System in Greece
摘要： Life Cycle Analysis (LCA) is an important tool to quantitatively assess energy consumption and environmental impact of any product. Current research related to energy consumption in buildings moves towards Nearly Zero Energy Building (NZEB). In such a building, an important issue concerns the energy production by renewable sources, including on-site production. The most feasible way to achieve renewable energy utilization in a building level in Greece is by using rooftop Photovoltaic (PV) systems, also promoted in the last decade by the national legislation concerning energy conservation measures. Apart from cost-related issues and payback times, Embodied Energy (EE) and Embodied CO2 (ECO2) emissions have also to be considered against the anticipated corresponding savings. Using a particular PV system as a case study, its basic constitutive materials are determined and their masses are calculated. Embodied energy values are estimated by using embodied energy coefficients available in the international literature. Considering a specific geographic location in Greece for the building on which the PV is installed, the annual energy generated by the system is estimated based on its performance data and curves. The Energy and CO2 Payback Times (EPBT and CO2PBT) are estimated and assessed, as well as future work is suggested.
关键词： Photovoltaic systems,CO2 Payback Time,Embodied CO2,Energy Payback Time,Life Cycle Analysis,Nearly Zero Energy Building,Embodied Energy
更新于2025-09-23 15:21:01
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Adaptive Voltage Regulation for Solar Power Inverters on Distribution Systems
摘要： By means of time-series power flow, this paper compares the performance of several reactive power control modes allowed in the new IEEE 1547. It is shown that voltage-reactive power mode (sometimes called volt-var) should be considered for a universal default setting, with no deadband, the highest allowed gain of 22 for Category B inverters, and a gain of 12.5 for Category A inverters. The reference voltage should adapt to the system voltage, with a 300s time constant.
关键词： Photovoltaic systems,smart grids,inverters,automatic voltage control,distributed power generation
更新于2025-09-23 15:21:01
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Estimating Solar Insolation and Power Generation of Photovoltaic Systems Using Previous Day Weather Data
摘要： Day-ahead predictions of solar insolation are useful for forecasting the energy production of photovoltaic (PV) systems attached to buildings, and accurate forecasts are essential for operational efficiency and trading markets. In this study, a multilayer feed-forward neural network-based model that predicts the next day’s solar insolation by taking into consideration the weather conditions of the present day was proposed. The proposed insolation model was employed to estimate the energy production of a real PV system located in South Korea. Validation research was performed by comparing the model’s estimated energy production with the measured energy production data collected during the PV system operation. The accuracy indices for the optimal model, which included the root mean squared error, mean bias error, and mean absolute error, were 1.43 kWh/m2/day, ? 0.09 kWh/m2/day, and 1.15 kWh/m2/day, respectively. These values indicate that the proposed model is capable of producing reasonable insolation predictions; however, additional work is needed to achieve accurate estimates for energy trading.
关键词： neural network,energy production,photovoltaic systems,solar insolation,forecasting
更新于2025-09-23 15:21:01
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Mitigation of the Variability of a PV Fleet via Geographical Dispersion and Energy Storage Systems on the Reunion Island Non-Interconnected Grid
摘要： In this paper, the geographical dispersion of PV installations and Energy Storage System (ESS) are studied to smooth PV production on Reunion Island. Despite the small area of the Island, the results show that with dispersion at the total grid scale, the variability driven by weather conditions (unpredictable variability) is almost removed. Then a centralized EES management at grid scale and a few large EES units could mitigate the variability even further with a relative low cost.
关键词： Photovoltaic systems,grid integration,ramps mitigation,geographical dispersion
更新于2025-09-23 15:21:01
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[IEEE 2019 7th International Renewable and Sustainable Energy Conference (IRSEC) - Agadir, Morocco (2019.11.27-2019.11.30)] 2019 7th International Renewable and Sustainable Energy Conference (IRSEC) - Optimization of the Energy Lack and Surplus in a Stand-Alone Photovoltaic System
摘要： Renewable energies represent a big interest for different researchers at level. However, the intermittent character of these energies and the storage difficulties of such systems still hinder the emergence of this sector. Consequently, our research aims first to define and analyze different parameters that can contribute in the design of an optimal storage system appropriated to a stand-alone installation. The modeling of whole energy autonomous system important and obviously characteristics particularly the energy Lack and Surplus were analyzed for a specified system in Morocco. Therefore, our study focused on a virtual stand-alone system located in rural area in Errachidia. This system was then designed, the battery was sized, and the lack and surplus were calculated for one year. The goal of this article is consequently to study the optimization of the Lack and Surplus without over or under sizing.
关键词： Storage,Optimization,Lack,Solar energy,Photovoltaic systems,Surplus
更新于2025-09-23 15:21:01
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[IEEE 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) - Shenyang, China (2019.11.22-2019.11.24)] 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) - Influence of Grid-connected Photovoltaic Systems on Power Quality
摘要： This paper reviews the power quality indicators and evaluation methods specified in the IEEE. Based on the experiments, the power quality problems caused by the switching of small-scale single-phase photovoltaic (PV) systems and large-scale three-phase PV power plants are analyzed. Meanwhile, under the state of PV systems input and cut-out, the influence of load switching of different properties on power quality is analyzed. Experiments show that the switching of PV systems will lead to voltage sags and impulsive transients, as well as current waveform distortion. However, the input of PV systems has a good restraint effect on voltage sags and impulsive transients caused by loads switching.
关键词： impulsive transients,voltage sags,photovoltaic systems,unbalanced,harmonic distortion,power quality
更新于2025-09-23 15:21:01