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Advanced Metering Infrastructure and Graphics Processing Unit Technologies in Electric Distribution Networks

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Book cover Electric Distribution Network Management and Control

Part of the book series: Power Systems ((POWSYS))

Abstract

The advanced metering infrastructure (AMI) has been recognized as a key communication mechanism in the modern distribution grid. As a result, integrating AMI with distribution management system (DMS) has become the focal point of distribution utilities during the past several years with the objective of enabling new applications and enhancing existing ones. In addition, with influx of massive real-time and near real-time measurements, speed up electric distribution network applications using graphic processing unit (GPU) technologies becomes attractive. Hence, the purpose of this chapter is two-fold: First it reviews a unified integration solution that enables DMS systems to flexibly adapt to various AMI systems with different communication protocols and meter data models. The feasibility and effectiveness of the integration solution are demonstrated through practical test scenarios. Second, it discusses GPU technologies and explores their applications in terms of state estimation and power flow computations. It concludes that GPU has significant potentials in improving the performance of distribution network applications. However, to unleash its power, the applications in distribution network need to be re-architected toward a GPU friendly architecture.

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Author information

Authors and Affiliations

  1. LY Grid Innovation, Menasha, WI, USA

    Zhao Li

  2. Department of Electrical and Computer Engineering, University of Wisconsin at Platteville, Platteville, USA

    Fang Yang

Authors
  1. Zhao Li
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  2. Fang Yang
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Corresponding author

Correspondence to Zhao Li .

Editor information

Editors and Affiliations

  1. School of Engineering and Information Technology, Murdoch University, Perth, Western Autralia, Australia

    Ali Arefi

  2. School of Engineering and Information Technology, Murdoch University, Perth, Western Autralia, Australia

    Farhad Shahnia

  3. Faculty of Science and Engineering, Queensland University of Technology, Brisbane, Queensland, Australia

    Gerard Ledwich

Appendix

Appendix

Referring to Table 12.6, system networks used for experimentation include a 3-bus system, IEEE 14 bus system [34] and PSSE2 system from [25]. These are described in this appendix (Fig. 12.13).

Fig. 12.13
figure 13

Three bus system network

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The 3-bus system is shown in where the solid circles denote the flow and injection measurements used for state estimation. Similarly, Fig. 12.14 shows the measurement placement for IEEE 14-bus system. Measurements are obtained from the load flow solution with noise added.

Fig. 12.14
figure 14

IEEE 14-bus system and measurement placement

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The 14 bus system is duplicated several times to obtain larger systems. The sparsity pattern of the measurement Jacobian matrices in Table 12.6 (rows 3, 4 and 5) is shown in Fig. 12.15.

Fig. 12.15
figure 15

Sparsity pattern of the test matrices: 14-bus with diagonal extension (left) 14-bus with diagonal extension and inter-area tie lines (middle), PSSE2 system (right)

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Li, Z., Yang, F. (2018). Advanced Metering Infrastructure and Graphics Processing Unit Technologies in Electric Distribution Networks. In: Arefi, A., Shahnia, F., Ledwich, G. (eds) Electric Distribution Network Management and Control. Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-10-7001-3_12

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  • DOI: https://doi.org/10.1007/978-981-10-7001-3_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7000-6

  • Online ISBN: 978-981-10-7001-3

  • eBook Packages: EnergyEnergy (R0)

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