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:
-
- Univ. of Tennessee, Knoxville, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- 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}
}
Works referenced in this record:
Distributed Finite-Time Voltage and Frequency Restoration in Islanded AC Microgrids
journal, October 2016
- Zuo, Shan; Davoudi, Ali; Song, Yongduan
- IEEE Transactions on Industrial Electronics, Vol. 63, Issue 10
Energy Storage Controller Synthesis for Power Systems With Temporal Logic Specifications
journal, March 2019
- Xu, Zhe; Julius, Agung; Chow, Joe H.
- IEEE Systems Journal, Vol. 13, Issue 1
Set Theory-Based Safety Supervisory Control for Wind Turbines to Ensure Adequate Frequency Response
journal, January 2019
- Zhang, Yichen; Raoufat, M. Ehsan; Tomsovic, Kevin
- IEEE Transactions on Power Systems, Vol. 34, Issue 1
Distributed Cooperative Secondary Control of Microgrids Using Feedback Linearization
journal, August 2013
- Bidram, Ali; Davoudi, Ali; Lewis, Frank L.
- IEEE Transactions on Power Systems, Vol. 28, Issue 3
Micro Wind Power Generator With Battery Energy Storage for Critical Load
journal, March 2012
- Mohod, S. W.; Aware, M. V.
- IEEE Systems Journal, Vol. 6, Issue 1
Distributed MPC-Based Secondary Voltage Control Scheme for Autonomous Droop-Controlled Microgrids
journal, April 2017
- Lou, Guannan; Gu, Wei; Xu, Yinliang
- IEEE Transactions on Sustainable Energy, Vol. 8, Issue 2
Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging
journal, November 2015
- Simpson-Porco, John W.; Shafiee, Qobad; Dorfler, Florian
- IEEE Transactions on Industrial Electronics, Vol. 62, Issue 11
A Feedback Linearization Control Scheme for the Integration of Wind Energy Conversion Systems Into Distribution Grids
journal, March 2012
- Delfino, Federico; Pampararo, Fabio; Procopio, Renato
- IEEE Systems Journal, Vol. 6, Issue 1
Robust Testing of Cascading Failure Mitigations Based on Power Dispatch and Quick-Start Storage
journal, December 2018
- Xu, Zhe; Julius, A. Agung; Chow, Joe H.
- IEEE Systems Journal, Vol. 12, Issue 4
Temporal-Logic-Based Reactive Mission and Motion Planning
journal, December 2009
- Kress-Gazit, H.; Fainekos, G. E.; Pappas, G. J.
- IEEE Transactions on Robotics, Vol. 25, Issue 6
Distributed Secondary Voltage and Frequency Restoration Control of Droop-Controlled Inverter-Based Microgrids
journal, July 2015
- Guo, Fanghong; Wen, Changyun; Mao, Jianfeng
- IEEE Transactions on Industrial Electronics, Vol. 62, Issue 7
Distributed, Bounded and Finite-Time Convergence Secondary Frequency Control in an Autonomous Microgrid
journal, May 2019
- Deng, Zicong; Xu, Yinliang; Sun, Hongbin
- IEEE Transactions on Smart Grid, Vol. 10, Issue 3
Secondary control of microgrids based on distributed cooperative control of multi-agent systems
journal, August 2013
- Lewis, Frank L.; Qu, Zhihua; Davoudi, Ali
- IET Generation, Transmission & Distribution, Vol. 7, Issue 8
Hybrid Controller for Wind Turbine Generators to Ensure Adequate Frequency Response in Power Networks
journal, September 2017
- Zhang, Yichen; Tomsovic, Kevin; Djouadi, Seddik M.
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 7, Issue 3
Receding Horizon Temporal Logic Planning
journal, November 2012
- Wongpiromsarn, Tichakorn; Topcu, Ufuk; Murray, Richard M.
- IEEE Transactions on Automatic Control, Vol. 57, Issue 11