Study of voltage stability in a distribution network by integrating distributed energy resources into a virtual power plant

Paternina, Jose Luis; Contreras, Leonardo; Trujillo, Edwin Rivas

doi:10.12988/ces.2017.711174

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The range of VPP functioning is wide. Thus, there is a possibility of indicating different research trends that concerns VPP, e.g., network voltage control by renewable energy sources integrated [15][16][17][18], power flow control and analysis [19][20][21][22], playing a role on the energy market [23][24][25][26], energy management in a VPP [27][28][29][30], optimal active and reactive power scheduling [31][32][33][34], and ESS sizing, localization, and management in VPP [35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements

et al. 2021

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One of the recent trends that concern renewable energy sources and energy storage systems is the concept of virtual power plants (VPP). The majority of research now focuses on analyzing case studies of VPP in different issues. This article presents the investigation that is based on a real VPP. That VPP operates in Poland and consists of hydropower plants (HPP), as well as energy storage systems (ESS). For specific analysis, cluster analysis, as a representative technique of data mining, was selected for power quality (PQ) issues. The used data represents 26 weeks of PQ multipoint synchronic measurements for 5 related to VPP points. The investigation discusses different input databases for cluster analysis. Moreover, as an extension to using classical PQ parameters as an input, the application of the global index was proposed. This enables the reduction of the size of the input database with maintaining the data features for cluster analysis. Moreover, the problem of the optimal number of cluster selection is discussed. Finally, the assessment of clustering results was performed to assess the VPP impact on PQ level.

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Section: Introductionmentioning

confidence: 99%

A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements

et al. 2021

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“…The cables and lines in rural microgrids have small cross sectional areas with high R/X ratios. DERs can provide voltage support in distribution networks through active or reactive power management [3]. In low voltage networks, due to dominant resistive character of the lines, active power flow has more dominant impact on voltage, compared to reactive power flow.…”

Section: Introductionmentioning

confidence: 99%

Management of Inverter-based Distributed Energy Resources for Providing Voltage Regulation Support in Islanded Operation of Low Voltage Networks

Zehir

Bargiyanik

Özdemir

et al. 2018

2018 53rd International Universities Power Engineering Conference (UPEC)

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Growing number of inverter-based distributed energy resources (DERs) and sensitive loads increase the need for coordinated power management activities in islanded operation of microgrids. Especially low voltage networks have low inertia and high R/X ratio, causing instability due to fluctuations in distributed generation (DG) and local voltage problems in islanded operation. This study investigates management of DERs that operate in current mode for providing voltage regulation support to master unit(s) in islanded operation of microgrids. A special focus was set on local voltage issues in low voltage (LV) network feeders. Field experiments in a large test facility highlighted management accuracy and corrective impact potential of DERs connected to different parts of a feeder.

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Combined Correlation and Cluster Analysis for Long-Term Power Quality Data from Virtual Power Plant

Jasiński

2021

Electronics

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Analysis of the connection between different units that operate in the same area assures always interesting results. During this investigation, the concerned area was a virtual power plant (VPP) that operates in Poland. The main distributed resources included in the VPP are a 1.25 MW hydropower plant and an associated 0.5 MW energy storage system. The mentioned VPP was a source of synchronic, long-term, multipoint power quality (PQ) data. Then, for five related measurement points, the conclusion about the relation in point of PQ was performed using correlation analysis, the global index approach, and cluster analysis. Global indicators were applied in place of PQ parameters to reduce the amount of analyzed data and to check the correlation between phase values. For such a big dataset, the occurrence of outliers is certain, and outliers may affect the correlation results. Thus, to find and exclude them, cluster analysis (k-means algorithm, Chebyshev distance) was applied. Finally, the correlation between PQ global indicators of different measurement points was performed. It assured general information about VPP units’ relation in point of PQ. Under the investigation, both Pearson’s and Spearman’s rank correlation coefficients were considered.

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Study of voltage stability in a distribution network by integrating distributed energy resources into a virtual power plant

Cited by 4 publications

References 7 publications

A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements

A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements

Management of Inverter-based Distributed Energy Resources for Providing Voltage Regulation Support in Islanded Operation of Low Voltage Networks

Combined Correlation and Cluster Analysis for Long-Term Power Quality Data from Virtual Power Plant

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