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An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators

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  • Mirosław Kornatka

    (Department of Electrical Engineering, Czestochowa University of Technology, 42-200 Czestochowa, Poland)

  • Anna Gawlak

    (Department of Electrical Engineering, Czestochowa University of Technology, 42-200 Czestochowa, Poland)

Abstract

Efficiency in the operation of distribution networks is one of the commonly recognised goals of the Smart Grid aspect. Novel approaches are needed to assess the level of energy loss and reliability in electricity distribution. Transmission of electricity in the power system is invariably accompanied by certain physical phenomena and random events causing losses. Identifying areas where excessive energy losses or excessive grid failure occur is a key element for energy companies in resource management. The study presented in the article is based on data obtained from distribution system operators concerning 41 distribution regions in Poland for a period of 5 years. The first part of the article presents an analysis of the distribution of values for the introduced energy density and energy losses in the lines of medium- and low-voltage networks and in transformers supplying the low-voltage network. The second part of the article presents the assessment of the network reliability of the same distribution regions based on analysis of the distributions of System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) values for planned and unplanned outages. Data analysis is performed by non-parametric methods by means of kernel estimators.

Suggested Citation

  • Mirosław Kornatka & Anna Gawlak, 2021. "An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators," Energies, MDPI, vol. 14(21), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6984-:d:663862
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    1. Sachin Kumar & Kumari Sarita & Akanksha Singh S Vardhan & Rajvikram Madurai Elavarasan & R. K. Saket & Narottam Das, 2020. "Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique," Energies, MDPI, vol. 13(21), pages 1-30, October.
    2. Mahyar Ghorbanzadeh & Mohammadreza Koloushani & Mehmet Baran Ulak & Eren Erman Ozguven & Reza Arghandeh Jouneghani, 2020. "Statistical and Spatial Analysis of Hurricane-induced Roadway Closures and Power Outages," Energies, MDPI, vol. 13(5), pages 1-18, March.
    3. Francesc Girbau-Llistuella & Francisco Díaz-González & Andreas Sumper & Ramon Gallart-Fernández & Daniel Heredero-Peris, 2018. "Smart Grid Architecture for Rural Distribution Networks: Application to a Spanish Pilot Network," Energies, MDPI, vol. 11(4), pages 1-35, April.
    4. Lixing Chen & Xueliang Huang & Hong Zhang, 2020. "Modeling the Charging Behaviors for Electric Vehicles Based on Ternary Symmetric Kernel Density Estimation," Energies, MDPI, vol. 13(7), pages 1-17, March.
    5. Jinxin Wang & Chi Zhang & Xiuzhen Ma & Zhongwei Wang & Yuandong Xu & Robert Cattley, 2020. "A Multivariate Statistics-Based Approach for Detecting Diesel Engine Faults with Weak Signatures," Energies, MDPI, vol. 13(4), pages 1-14, February.
    6. Zhidi Lin & Dongliang Duan & Qi Yang & Xuemin Hong & Xiang Cheng & Liuqing Yang & Shuguang Cui, 2020. "Data-Driven Fault Localization in Distribution Systems with Distributed Energy Resources," Energies, MDPI, vol. 13(1), pages 1-16, January.
    7. Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    8. Mohamed Lotfi & Mohammad Javadi & Gerardo J. Osório & Cláudio Monteiro & João P. S. Catalão, 2020. "A Novel Ensemble Algorithm for Solar Power Forecasting Based on Kernel Density Estimation," Energies, MDPI, vol. 13(1), pages 1-19, January.
    9. Lei Zhang & Lun Xie & Qinkai Han & Zhiliang Wang & Chen Huang, 2020. "Probability Density Forecasting of Wind Speed Based on Quantile Regression and Kernel Density Estimation," Energies, MDPI, vol. 13(22), pages 1-24, November.
    10. Pombo, A. Vieira & Murta-Pina, João & Pires, V. Fernão, 2015. "Multiobjective planning of distribution networks incorporating switches and protective devices using a memetic optimization," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 101-108.
    11. Giuseppe Barone & Giovanni Brusco & Alessandro Burgio & Daniele Menniti & Anna Pinnarelli & Michele Motta & Nicola Sorrentino & Pasquale Vizza, 2018. "A Real-Life Application of a Smart User Network," Energies, MDPI, vol. 11(12), pages 1-23, December.
    12. Saleh, J.H. & Marais, K., 2006. "Highlights from the early (and pre-) history of reliability engineering," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 249-256.
    13. Hongmei Li & Hantao Cui & Chunjie Li, 2019. "Distribution Network Power Loss Analysis Considering Uncertainties in Distributed Generations," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    14. Shouxiang Wang & Pengfei Dong & Yingjie Tian, 2017. "A Novel Method of Statistical Line Loss Estimation for Distribution Feeders Based on Feeder Cluster and Modified XGBoost," Energies, MDPI, vol. 10(12), pages 1-17, December.
    15. Duong, Tarn, 2007. "ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i07).
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