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Microgrid State Estimation Using the IoT with 5G Technology

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Internet of Things (IoT) in 5G Mobile Technologies

Part of the book series: Modeling and Optimization in Science and Technologies ((MOST,volume 8))

Abstract

The internet of things (IoT) has been a prevalent research topic in recent years in both academia and industry. The main idea of this framework is the integration of physical objects into a global information network. The vision of the IoT is to integrate and connect anything at any time and any place. For this reason, it is being applied in various areas such as power system monitoring, environment monitoring, network control system, smart health care, military, smart cities management and industry revolution. To achieve the goals, the fifth generation (5G) technology will be the potential infrastructure that will assist the visions of the IoT. Starting with the visions and requirements of the IoT with 5G networks, this chapter proposes a distributed approach for microgrid state estimation. After modelling the microgrid, it is linearized around the operating point, so that the proposed distributed state estimation using the IoT with 5G networks can be applied. Moreover, we propose a wireless sensor network based communication network to sense, transmit and estimate the microgrid states. At the end, the simulation results show that the proposed method is able to estimate the system state properly using the IoT with 5G networks.

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, NSW, 2007, Australia

    Md Masud Rana, Li Li & Steven Su

Authors
  1. Md Masud Rana
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  2. Li Li
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  3. Steven Su
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Corresponding author

Correspondence to Md Masud Rana .

Editor information

Editors and Affiliations

  1. Dept of Comp Sci, University of Nicosia, Nicosia, Cyprus

    Constandinos X. Mavromoustakis

  2. Crete, Technological Educational Institute, Crete, Greece

    George Mastorakis

  3. National Institute of Telecommunica, Warsaw, Poland

    Jordi Mongay Batalla

Appendix

Appendix

The terms used in (7) are given by [59]:

$$\begin{aligned} \mathbf f _1 =&\frac{1}{{X'_s}^2 + X_{tl} X'_s L_{R_{tl}}} \begin{bmatrix} 0&X'_s + X_{tl} L_{R_{tl}}\\ - X'_s&X_2 L_{X_{tl}} \end{bmatrix}. \end{aligned}$$
(19)
$$\begin{aligned} \mathbf f _2 =&\frac{sec \delta _{20}}{{X'_s}^2 + X_{tl} X'_s L_{R_{tl}}} \begin{bmatrix} 0 \\ X'_s \end{bmatrix}. \end{aligned}$$
(20)
$$\begin{aligned} \mathbf f _3 =&\begin{bmatrix} -\frac{X_s + X_{tl} L_{R_{tl}} }{T'_0(X'_s + X_{tl} L_{R_{tl}})}&1- \omega _{go} + \frac{(X_s - X'_s)X_{tl} L_{X_{tl}}}{T'_0 X'_s(X'_s + X_{tl}L_{R_{tl}})} \\ \omega _{go} -1&-\frac{X_s}{T'_0 X'_s} \end{bmatrix}. \end{aligned}$$
(21)
$$\begin{aligned} \mathbf f _4 =&\frac{(X'_s-X_s) sec \delta _{20}}{{T'_0(X'_s + X_{tl} L_{R_{tl}})}} \begin{bmatrix} 0 \\ 1 \end{bmatrix}.\end{aligned}$$
(22)
$$\begin{aligned} \mathbf f _5 =&\begin{bmatrix} -u'_{qo} \\ u'_{do} \end{bmatrix}. \end{aligned}$$
(23)
$$\begin{aligned} \mathbf f _6 =&-[u'_{do} ~ ~ u'_{qo} ] \mathbf f _1 - [i^{tl}_{ds0} ~ ~ ~ ~ i^{tl}_{qso} ] \mathbf f _3. \end{aligned}$$
(24)
$$\begin{aligned} \mathbf f _7 =&-[u'_{do} ~ ~ u'_{qo} ] \mathbf f _2 - [i^{tl}_{dso} ~ ~ ~ ~ i^{tl}_{qs0} ] \mathbf f _4. \end{aligned}$$
(25)
$$\begin{aligned} \mathbf f _8 =&- [i^{tl}_{dso} ~ ~ ~ ~ i^{tl}_{qso} ] \mathbf f _5. \end{aligned}$$
(26)
$$\begin{aligned} L_{R_{tl}}&= 1+ \frac{R_{tl}}{X_{tl}} tan \delta _{20}. \end{aligned}$$
(27)
$$\begin{aligned} L_{X_{tl}}&= \frac{R_{tl}}{X_{tl}} - tan \delta _{20}. \end{aligned}$$
(28)

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Rana, M.M., Li, L., Su, S. (2016). Microgrid State Estimation Using the IoT with 5G Technology. In: Mavromoustakis, C., Mastorakis, G., Batalla, J. (eds) Internet of Things (IoT) in 5G Mobile Technologies. Modeling and Optimization in Science and Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-30913-2_9

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  • DOI: https://doi.org/10.1007/978-3-319-30913-2_9

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