Abstract
Electric power networks are large and highly nonlinear dynamical systems that present unique challenges to control design. Though there is a large number of dynamic models for power system stability and control, many models are only useful with right assumptions and wrong for other tasks. Moreover, the dynamic behavior of the grid is increasingly complex under the banner of smart grids. These lead to the difficulty of developing appropriate dynamic modeling, and thus an efficient control strategy. To avoid such modeling challenges, this work presents a novel dynamic voltage control strategy based on a model-free control (MFC) approach, requiring no modeling procedure. In particular, it focuses on fault-induced delayed voltage recovery (FIDVR) events, which require complex and accurate dynamic load models to replicate such events. This work utilizes MFC as an online controller to achieve the desired voltage stability under the FIDVR event. The proposed MFC strategy allows simple implementation and low computational cost for efficient mitigation of FIDVR. For benchmarking, a reasonably accurate dynamic performance model is explored. Simulation results with the IEEE 57 bus test network demonstrate the enhanced dynamic voltage profile for load buses having induction motors with the support of reactive power resources.
Original language | English |
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Article number | 9149925 |
Pages (from-to) | 67-78 |
Number of pages | 12 |
Journal | IEEE Transactions on Smart Grid |
Volume | 12 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2021 |
Funding
Manuscript received December 23, 2019; revised April 27, 2020 and July 1, 2020; accepted July 20, 2020. Date of publication July 27, 2020; date of current version December 21, 2020. This work was supported by UT-Battelle, LLC under Contract DE-AC05-00OR22725, with the U.S. Department of Energy. Paper no. TSG-01916-2019. (Corresponding author: Byungkwon Park.) The authors are with the Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831 USA (e-mail: [email protected]; [email protected]).
Funders | Funder number |
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U.S. Department of Energy | TSG-01916-2019 |
UT-Battelle | DE-AC05-00OR22725 |
Keywords
- Fault-induced delayed voltage recovery
- intelligent PID controller
- model-free control
- motor stalling
- voltage stability