Power Reserves Control for PV Systems With Real-Time MPP Estimation via Curve Fitting

Batzelis, Efstratios; Kampitsis, Georgios; Papathanassiou, Stavros A.

doi:10.1109/tste.2017.2674693

Cited by 152 publications

(120 citation statements)

References 27 publications

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“…For each PV generator, the initial power set-point can be generated as p set_0 = β · p mpp , where p mpp is the estimated maximum power (MPP) of the individual PV generator. In order to estimate the MPP while operating at a reduced power level, the concept of curve fitting, presented in the literature [24], is adopted here, where the fundamental equation of the single-diode PV model is fitted to a set of past measurements, such as the voltage and the power of the PV system around the current operating point. The model parameters are thus estimated and the MPP is determined.…”

Section: Primary Power Adjustmentmentioning

confidence: 99%

“…The major challenges in the implementation of these methods include (1) power set-point tracking in fast dynamics and (2) monitoring the variable maximum power to keep track of the maintained reserves [24]. In the literature [25], MPPT-like control algorithms are proposed that involve the perturbation of the operating point in discrete voltage steps, thus exhibiting a mediocre dynamic response.…”

Section: Introductionmentioning

confidence: 99%

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Virtual Inertia-Based Control Strategy of Two-Stage Photovoltaic Inverters for Frequency Support in Islanded Micro-Grid

Huang

Wang

et al. 2018

Electronics

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For an islanded micro-grid with a high penetration of photovoltaic (PV) power generators, the low inertia reserve and the maximum peak power tracking control may increase the difficulty of maintaining the system's supply-demand balance, and cause frequency instability, especially when the available generation is excessive. This will require changes in the way the PV inverter is controlled. In this paper, a virtual inertia frequency control (VIFC) strategy is proposed to let the two-stage PV inverters emulate inertia and support the system frequency with a timely response (e.g., inertia response), and the required power for inertia emulation is obtained from both the DC-link capacitor and the PV reserved energy. As the rate of the system frequency change can be reduced with the inertia increase, the proposed method can mitigate the frequency contingency event before the superior-level coordination control is enabled for the frequency restoration. The simulation results demonstrate the effectiveness of the proposed method.

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Section: Primary Power Adjustmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Virtual Inertia-Based Control Strategy of Two-Stage Photovoltaic Inverters for Frequency Support in Islanded Micro-Grid

Huang

Wang

et al. 2018

Electronics

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“…In order to translate the five reference parameters to the actual irradiance G and temperature T, the translation equations proposed in [1] are used, as manipulated in [7] and [30]: …”

Section: Translation Of the Five Parameters To Any Conditionsmentioning

confidence: 99%

Simple PV Performance Equations Theoretically Well Founded on the Single-Diode Model

Batzelis

2017

IEEE J. Photovoltaics

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-There are several photovoltaic (PV) performance models in the literature, but most of them either employ complex and tedious calculations or require additional measurements apart from datasheet information. In this paper, a new set of performance equations to evaluate the short circuit (SC) current, open circuit (OC) voltage and maximum power point (MPP) at any operating conditions is introduced. The proposed expressions are simple functions of the irradiance and temperature, while they are generally applicable to any crystalline PV module and require only datasheet information as input data. This is achieved by introducing new formulas to determine the irradiance and temperature coefficients that are not provided in the datasheet, thus avoiding empirical constants or additional measurements. The novelty of the performance equations is their solid theoretical background, as they are in excellent agreement with the singlediode PV model, combined with simple and easy application. The proposed PV model is validated and compared to other methods found in the literature through simulations in MATLAB and outdoor measurements on commercial PV modules. Index TermsIrradiance coefficients of Vmp (dimensionless). . The former approach adopts an electrical equivalent circuit and permits derivation of the entire I-V characteristic. It provides complete information on the system's operation, but generally requires several implementation steps such as: extraction of the model parameters, translation to actual operating conditions, derivation of the characteristic curve etc. On the other hand, the methods that adopt semi-empirical expressions are straightforward and more easy-to-use, evaluating simple explicit equations in a single step. However, they provide specific only information, such as the short circuit (SC) current, the open circuit (OC) voltage and the maximum power point (MPP), rather than the entire characteristic. The latter methods are the focus of this paper.There [12] provide all essential information required for a PV energy yield study: the SC current, the OC voltage and the MPP voltage and current, denoted hereafter as the three key operating points. If these are known for a particular PV system, then all other energy yield parameters are readily derived, such as the maximum power or fill factor (FF).However, the simplicity of the aforementioned models comes at the cost of reduced accuracy, as they either rely on empirical observations or consider questionable assumptions. Specifically, the equations proposed in [11]

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“…Such a model is mainly adopted to reproduce the electrical I-V curve of the PV source, and in general, it operates offline with respect to the system under investigation. The SDM is also useful in online applications such as model-based maximum power point tracking (MPPT) and monitoring/diagnosis operation [1][2][3][4]. The five parameters (I ph , I s , η, R s , R h ) appearing in (1), which is the equation underlying the SDM, are usually calculated by using datasheet information, or experimental data, or a combination of them.…”

Section: Introductionmentioning

confidence: 99%

Online Identification of Photovoltaic Source Parameters by Using a Genetic Algorithm

et al. 2017

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Abstract:In this paper, an efficient method for the online identification of the photovoltaic single-diode model parameters is proposed. The combination of a genetic algorithm with explicit equations allows obtaining precise results without the direct measurement of short circuit current and open circuit voltage that is typically used in offline identification methods. Since the proposed method requires only voltage and current values close to the maximum power point, it can be easily integrated into any photovoltaic system, and it operates online without compromising the power production. The proposed approach has been implemented and tested on an embedded system, and it exhibits a good performance for monitoring/diagnosis applications.

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Power Reserves Control for PV Systems With Real-Time MPP Estimation via Curve Fitting

Cited by 152 publications

References 27 publications

Virtual Inertia-Based Control Strategy of Two-Stage Photovoltaic Inverters for Frequency Support in Islanded Micro-Grid

Virtual Inertia-Based Control Strategy of Two-Stage Photovoltaic Inverters for Frequency Support in Islanded Micro-Grid

Simple PV Performance Equations Theoretically Well Founded on the Single-Diode Model

Online Identification of Photovoltaic Source Parameters by Using a Genetic Algorithm

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