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Title: Model predictive control for voltage restoration in microgrids using temporal logic specifications

Abstract

Power system operation will encounter numerous voltage variabilities as the proliferation of renewable energy continues. Real-time monitoring and communication technologies can potentially improve voltage stability by enabling the rapid detection of voltage deviations and the implementation of corrective actions. These corrective actions will only be effective in restoring stability if they are chosen in a timely and scalable manner. This paper considers the problem of power systems’ load voltage control in order to simultaneously address both magnitude and time voltage specifications. In order to comply with grid codes and avoid unnecessary relay protection actions, a model predictive control (MPC)-based control strategy employing temporal logic specifications (TLSs) is proposed. The TLSs strategy is introduced as a formalism to control the voltage variation at a critical load bus against operational bounds over time. The control objective is to schedule optimal control input signals from the available supportive energy storage systems, which provide reactive power injections, leading to satisfying the specified finite-time restoration described by the TLSs with minimal control efforts. The simulation results display that the TLSs strategy for power systems’ voltage control synthesis is extremely significant.

Authors:
 [1]; ORCiD logo [2];  [1];  [1];  [3]; ORCiD logo [2]
  1. Univ. of Tennessee, Knoxville, TN (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE; National Science Foundation (NSF)
OSTI Identifier:
1616817
Grant/Contract Number:  
AC05-00OR22725; EEC-1041877; 1711432; 1509114
Resource Type:
Accepted Manuscript
Journal Name:
IET Energy Systems Integration
Additional Journal Information:
Journal Volume: 2; Journal Issue: 3; Journal ID: ISSN 2516-8401
Publisher:
The Institution of Engineering and Technology
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Taousser, Fatima Z., Olama, Mohammed M., Djouadi, Seddik, Tomsovic, Kevin, Zhang, Yichen, and Xue, Yaosuo. Model predictive control for voltage restoration in microgrids using temporal logic specifications. United States: N. p., 2020. Web. doi:10.1049/iet-esi.2019.0135.
Taousser, Fatima Z., Olama, Mohammed M., Djouadi, Seddik, Tomsovic, Kevin, Zhang, Yichen, & Xue, Yaosuo. Model predictive control for voltage restoration in microgrids using temporal logic specifications. United States. https://doi.org/10.1049/iet-esi.2019.0135
Taousser, Fatima Z., Olama, Mohammed M., Djouadi, Seddik, Tomsovic, Kevin, Zhang, Yichen, and Xue, Yaosuo. Mon . "Model predictive control for voltage restoration in microgrids using temporal logic specifications". United States. https://doi.org/10.1049/iet-esi.2019.0135. https://www.osti.gov/servlets/purl/1616817.
@article{osti_1616817,
title = {Model predictive control for voltage restoration in microgrids using temporal logic specifications},
author = {Taousser, Fatima Z. and Olama, Mohammed M. and Djouadi, Seddik and Tomsovic, Kevin and Zhang, Yichen and Xue, Yaosuo},
abstractNote = {Power system operation will encounter numerous voltage variabilities as the proliferation of renewable energy continues. Real-time monitoring and communication technologies can potentially improve voltage stability by enabling the rapid detection of voltage deviations and the implementation of corrective actions. These corrective actions will only be effective in restoring stability if they are chosen in a timely and scalable manner. This paper considers the problem of power systems’ load voltage control in order to simultaneously address both magnitude and time voltage specifications. In order to comply with grid codes and avoid unnecessary relay protection actions, a model predictive control (MPC)-based control strategy employing temporal logic specifications (TLSs) is proposed. The TLSs strategy is introduced as a formalism to control the voltage variation at a critical load bus against operational bounds over time. The control objective is to schedule optimal control input signals from the available supportive energy storage systems, which provide reactive power injections, leading to satisfying the specified finite-time restoration described by the TLSs with minimal control efforts. The simulation results display that the TLSs strategy for power systems’ voltage control synthesis is extremely significant.},
doi = {10.1049/iet-esi.2019.0135},
journal = {IET Energy Systems Integration},
number = 3,
volume = 2,
place = {United States},
year = {Mon Apr 20 00:00:00 EDT 2020},
month = {Mon Apr 20 00:00:00 EDT 2020}
}

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