Power quality surveys of photovoltaic power plants: characterisation and analysis of grid‐code requirements

Honrubia-Escribano, A.; García-Sánchez, Tania; Gómez‐Lázaro, Emilio; Muljadi, Eduard; Molina‐García, Ángel

doi:10.1049/iet-rpg.2014.0215

Cited by 62 publications

(29 citation statements)

References 40 publications

(61 reference statements)

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“…A voltage dip is described as a decrease in RMS voltage between 90% and 10% of the rated voltage, with a duration between 0.5 cycles and 1 min [60]. Voltage dips are commonly characterized by two parameters [41][42][43]: residual voltage, also known as dip magnitude and defined by the minimum RMS value measured, and dip duration, the time during which RMS values in any phase are within the voltage range previously defined. In order to characterize the model accuracy for the simulation of voltage dips, three adjacent windows are defined according to IEC 61400-27 [34,61]: a pre-fault, a fault and a post-fault window.…”

Section: Need For the Validation Of Generic Wind Turbine Modelsmentioning

confidence: 99%

Validation of Generic Models for Variable Speed Operation Wind Turbines Following the Recent Guidelines Issued by IEC 61400-27

et al. 2016

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Considerable efforts are currently being made by several international working groups focused on the development of generic, also known as simplified or standard, wind turbine models for power system stability studies. In this sense, the first edition of International Electrotechnical Commission (IEC) 61400-27-1, which defines generic dynamic simulation models for wind turbines, was published in February 2015. Nevertheless, the correlations of the IEC generic models with respect to specific wind turbine manufacturer models are required by the wind power industry to validate the accuracy and corresponding usability of these standard models. The present work conducts the validation of the two topologies of variable speed wind turbines that present not only the largest market share, but also the most technological advances. Specifically, the doubly-fed induction machine and the full-scale converter (FSC) topology are modeled based on the IEC 61400-27-1 guidelines. The models are simulated for a wide range of voltage dips with different characteristics and wind turbine operating conditions. The simulated response of the IEC generic model is compared to the corresponding simplified model of a wind turbine manufacturer, showing a good correlation in most cases. Validation error sources are analyzed in detail, as well. In addition, this paper reviews in detail the previous work done in this field. Results suggest that wind turbine manufacturers are able to adjust the IEC generic models to represent the behavior of their specific wind turbines for power system stability analysis.

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Section: Need For the Validation Of Generic Wind Turbine Modelsmentioning

confidence: 99%

Validation of Generic Models for Variable Speed Operation Wind Turbines Following the Recent Guidelines Issued by IEC 61400-27

et al. 2016

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“…The growing environmental concerns and the necessity of energy are the driving force in the developing countries. Moreover, researchers have demonstrated the effectiveness of solar PV system when integrated to the grid for its utility in the urban areas …”

Section: Introductionmentioning

confidence: 99%

Implementation of grid interfaced photovoltaic system with active power filter capabilities

Singh

Hussain

Singh

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper deals with a sixth‐order generalized integrator for single phase grid interlinked solar photovoltaic generation system (PVGS). The objective of the proposed algorithm is to control the power transfer between the photovoltaic (PV) and grid and the load at unity power factor and load current harmonics compensation. The proposed PVGS works in 3 modes: (1) PV‐voltage source converter (VSC), (2) VSC as an active power filter (ie, solar power is zero), and (3) PV‐VSC without the load. The VSC is to inject the available active power from PV array to load and the grid, with auxiliary services such as harmonics compensation with high utilization factor. The sixth‐order generalized integrator structure provides fast response than a single second‐order generalized integrator with same harmonics attenuation. The effectiveness of the control algorithm of PVGS under different modes and environmental conditions is validated by using the simulation and experimental results.

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“…With the wide access of distributed generators (DGs) to the power system, many renewable power sources with random output characteristics, such as distributed solar energy and wind power, have a negative impact on the PQ of the power system [2]. Then, it is necessary to carry out in-depth monitoring and analysis of the PQ in all points accessed by DGs [3]. Therefore, the massive PQ data collected from a large number of monitors represents a higher real-time requirement for any PQ signal classification system [4].…”

Section: Introductionmentioning

confidence: 99%

Feature Selection of Power Quality Disturbance Signals with an Entropy-Importance-Based Random Forest

Huang

Cai

et al. 2016

Entropy

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Power quality signal feature selection is an effective method to improve the accuracy and efficiency of power quality (PQ) disturbance classification. In this paper, an entropy-importance (EnI)-based random forest (RF) model for PQ feature selection and disturbance classification is proposed. Firstly, 35 kinds of signal features extracted from S-transform (ST) with random noise are used as the original input feature vector of RF classifier to recognize 15 kinds of PQ signals with six kinds of complex disturbance. During the RF training process, the classification ability of different features is quantified by EnI. Secondly, without considering the features with zero EnI, the optimal perturbation feature subset is obtained by applying the sequential forward search (SFS) method which considers the classification accuracy and feature dimension. Then, the reconstructed RF classifier is applied to identify disturbances. According to the simulation results, the classification accuracy is higher than that of other classifiers, and the feature selection effect of the new approach is better than SFS and sequential backward search (SBS) without EnI. With the same feature subset, the new method can maintain a classification accuracy above 99.7% under the condition of 30 dB or above, and the accuracy under 20 dB is 96.8%.

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Power quality surveys of photovoltaic power plants: characterisation and analysis of grid‐code requirements

Cited by 62 publications

References 40 publications

Validation of Generic Models for Variable Speed Operation Wind Turbines Following the Recent Guidelines Issued by IEC 61400-27

Validation of Generic Models for Variable Speed Operation Wind Turbines Following the Recent Guidelines Issued by IEC 61400-27

Implementation of grid interfaced photovoltaic system with active power filter capabilities

Feature Selection of Power Quality Disturbance Signals with an Entropy-Importance-Based Random Forest

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