A real-time analytical steady-state calculation in power system restoration: Managing uncertainty

• Introduces a robust real-time smart restoration method for power system recovery. • Proposes a non-iterative analytical approach to determine the optimal load/reactor value that maintains voltage within permissible limits. • Minimizes restoration time and load uncertainty by calculating the least required load values. • Provides remedial solutions without shedding energized loads or disconnecting reactors when optimal load/reactor values are unavailable. The comprehensive strategy for steady-state overvoltages caused by the energization of lightly loaded transmission lines is an essential part of power system restoration plans. In this context, dispatchers must address three key questions: (1) the required load along the restoration path, (2) the suggested reaction in the event of uncertainty or a lack of the required load, and (3) the potential impact of this loading on the voltages along the restored network. The primary purpose of this paper is to propose an analytical tool that equips dispatchers with a non-iterative, robust, and rapid solution to these questions. The main idea involves substituting restored transmission lines with an equivalent no-load line. Subsequently, the necessary optimized load amount is computed by putting together the equivalent no-load model of the restored network along with the actual length of any new line that will be energized. In this method, considerations for reactor/load uncertainty are included as well. Finally, the overall voltage assessment is conducted by applying the proposed formulation to the energized paths. The efficacy of the proposed model is substantiated by load flow results from DIgSILENT, demonstrating the method's capability to provide comprehensive loading solutions with high accuracy. This paper introduces a robust procedure as a novel advancement in the journey toward smarter transmission networks.

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Publication Details

Journal
Results in Engineering
Published
2025-03-28
DOI
https://doi.org/10.1016/j.rineng.2025.104721
Citations
1
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.73
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article

A real-time analytical steady-state calculation in power system restoration: Managing uncertainty

S. Mohammad Shahrtash, Shahram Jadid, Mahtab Khalilifar, Noureyeh Zahiroddin
1 citations
Results in Engineering
Power System Optimization and Stability
0.73
article

A real-time analytical steady-state calculation in power system restoration: Managing uncertainty

S. Mohammad Shahrtash, Shahram Jadid, Mahtab Khalilifar, Noureyeh Zahiroddin
article en
1 citations

Abstract

• Introduces a robust real-time smart restoration method for power system recovery. • Proposes a non-iterative analytical approach to determine the optimal load/reactor value that maintains voltage within permissible limits. • Minimizes restoration time and load uncertainty by calculating the least required load values. • Provides remedial solutions without shedding energized loads or disconnecting reactors when optimal load/reactor values are unavailable. The comprehensive strategy for steady-state overvoltages caused by the energization of lightly loaded transmission lines is an essential part of power system restoration plans. In this context, dispatchers must address three key questions: (1) the required load along the restoration path, (2) the suggested reaction in the event of uncertainty or a lack of the required load, and (3) the potential impact of this loading on the voltages along the restored network. The primary purpose of this paper is to propose an analytical tool that equips dispatchers with a non-iterative, robust, and rapid solution to these questions. The main idea involves substituting restored transmission lines with an equivalent no-load line. Subsequently, the necessary optimized load amount is computed by putting together the equivalent no-load model of the restored network along with the actual length of any new line that will be energized. In this method, considerations for reactor/load uncertainty are included as well. Finally, the overall voltage assessment is conducted by applying the proposed formulation to the energized paths. The efficacy of the proposed model is substantiated by load flow results from DIgSILENT, demonstrating the method's capability to provide comprehensive loading solutions with high accuracy. This paper introduces a robust procedure as a novel advancement in the journey toward smarter transmission networks.

Results in EngineeringVol. 26
Iran University of Science and Technology (IR)
Climate action
Openalex Percentile: Top 30%
Power System Optimization and Stability
0.73
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