A novel collapse prediction index for voltage stability analysis and contingency ranking in power systems

Salah Mokred; Yifei Wang; Tiancong Chen

doi:10.1186/s41601-023-00279-w

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A novel collapse prediction index for voltage stability analysis and contingency ranking in power systems

Original Research | 更新时间：2026-09-30

- A novel collapse prediction index for voltage stability analysis and contingency ranking in power systems
- Protection and Control of Modern Power Systems Vol. 8, Issue 1, Pages: 1-27(2023)
- 作者机构：
  
  1. Electrical Engineering Department, Southeast University,Nanjing,China
  2. Electromechanical Engineering School, Zhongyuan Institute of Science and Technology,Zhengzhou,China
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-023-00279-w
  CLC：
- Published：01 January 2023
- 稿件说明：
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Salah Mokred, Yifei Wang, Tiancong Chen. A novel collapse prediction index for voltage stability analysis and contingency ranking in power systems[J]. Protection and Control of Modern Power Systems, 2023, 8(1): 1-27.
DOI：

Salah Mokred, Yifei Wang, Tiancong Chen. A novel collapse prediction index for voltage stability analysis and contingency ranking in power systems[J]. Protection and Control of Modern Power Systems, 2023, 8(1): 1-27. DOI： 10.1186/s41601-023-00279-w.

摘要

Voltage instability is a serious phenomenon that can occur in a power system because of critical or stressed conditions. To prevent voltage collapse caused by such instability

accurate voltage collapse prediction is necessary for power system planning and operation. This paper proposes a novel collapse prediction index (NCPI) to assess the voltage stability conditions of the power system and the critical conditions of lines. The effectiveness and applicability of the proposed index are investigated on the IEEE 30-bus and IEEE 118-bus systems and compared with the well-known existing indices (L

FVSI

LQP

NLSI

and VSLI) under several power system operations to validate its practicability and versatility. The study also presents the sensitivity assumptions of existing indices and analyzes their impact on voltage collapse prediction. The application results under intensive case studies prove that the proposed index NCPI adapts to several operating power conditions. The results show the superiority of the proposed index in accurately estimating the maximum load-ability and predicting the critical lines

weak buses

and weak areas in medium and large networks during various power load o

perations and contingencies. A line interruption or generation unit outage in a power system can also lead to voltage collapse

and this is a contingency in the power system. Line and generation unit outage contingencies are examined to identify the lines and generators that significantly impact system stability in the event of an outage. The contingencies are also ranked to identify the most severe outages that significantly cause voltage collapse because of the outage of line or generator.

Abstract

Voltage instability is a serious phenomenon that can occur in a power system because of critical or stressed conditions. To prevent voltage collapse caused by such instability

FVSI

LQP

NLSI

weak buses

and weak areas in medium and large networks during various power load operations and contingencies. A line interruption or generation unit outage in a power system can also lead to voltage collapse

关键词

Keywords

references

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