A general index for voltage stability assessment of power system

Sadeghi, Seyed Eshagh; Foroud, Asghar Akbari

doi:10.1002/2050-7038.13155

Cited by 7 publications

(2 citation statements)

References 54 publications

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“…However, TVSI suffers from voltage oscillation, while TVI is case-dependent. The voltage recovery index has been improved in [15] for short-term voltage assessment. This method used the probability density function as well as the self-impedance of the load buses for the short-term voltage stability assessment.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid

Alshareef,

Shah,

Mithulananthan

et al. 2024

IEEE Access

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Short-term voltage stability (STVS) of power grids could be jeopardized due to the nonlinear dynamic characteristics of loads such as induction motors (IMs) and the retirement of synchronous generators. Moreover, the appearance of inverter-based generators (IBGs) in the system would make the grids more susceptible to voltage instability. Hence, there is an indispensable need to identify adequate mitigation measures to deal with these enduring challenges. This paper proposes a driven-data trajectory approach to locate the dynamic VAr support (DVS) to maintain STVS in power grids with high penetration of IBGs. The proposed data-driven trajectory approach ranks the best locations for DVS by comparing grid responses of different possible DVS sites with respect to the desired reference response. The developed approach covers the full signature of grid dynamics in generation and load sides. For illustration, this approach is applied to the Reliability and Voltage Stability (RVS) test system designed for STVS analysis. Several scenarios are tested, including various IM penetrations and IBG integration, control and load compositions, to demonstrate the viability and robustness of the proposed approach. Moreover, the STVS performance of the system with the proposed algorithm is verified through the motor stalling scan. The comprehensive assessment shows that the system exhibits the best STVS performance with DVS placement using the proposed method.INDEX TERMS Alignment factor, data-driven trajectory, dynamic signature, Euclidean inner product, load dynamics, motor stalling, PV generator, short-term voltage stability.

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Section: Introductionmentioning

confidence: 99%

A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid

Alshareef,

Shah,

Mithulananthan

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…This is because they can be used online or offline to assist system operators in determining how close the system is to a potential voltage instability situation [32]. The dimension measurement from the basecase operating point to the critical level (voltage collapse point) is used by the static voltage stability indices [33][34][35][36][37][38][39][40], while [38] delineates and classifies almost 40 voltage stability indices over the past 3 decades. From different viewpoints, the critical boundary index CBI proposed in [39] relies on active and reactive power variations.…”

Section: Introductionmentioning

confidence: 99%

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

Mokred

Wang

Chen

2023

Prot Control Mod Power Syst

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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 (Lmn, 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 operations 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.

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Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method

Zhang,

Zhao,

Chen

et al. 2024

Discov Appl Sci

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The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract

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A general index for voltage stability assessment of power system

Cited by 7 publications

References 54 publications

A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid

A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid

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

Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method

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