Online vulnerability assessment of Zone-3 distance relays against static load Encroachment: A novel approach based on fault chain theory

Bolandi, Tohid Ghanizadeh; Talavat, Vahid; Morsali, Javad

doi:10.1016/j.ijepes.2023.109183

Cited by 2 publications

(3 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, many experts have proposed a variety of LE identification methods based on wide-area information, accurately distinguishing the short-circuit fault of the transmission line within the protection range or the LE caused by the removal of the faulty line outside the protection range and effectively prevent the cascading trip accident caused by the unexpected action of the conventional backup protection. The authors of reference [7] use the fault chain theory to simulate the process of successive line outages that occur step by step and lead to LE. The authors of reference [8] propose an intelligent distance relay sensing methodology for the differentiation of LE from fault conditions by analyzing the apparent impedance behavior during a fault and LE.…”

Section: Introductionmentioning

confidence: 99%

“…( 6) Initialize Paths to be empty and write v t as the first field information of the initial record to Paths; then, the field information of Paths becomes [v t , Null, 0, 0, 0]. (7) Find alternative paths by backtracking from v t to v s ; the paths are denoted as P l , and repeat the following steps until no node satisfies the condition.…”

mentioning

confidence: 99%

“…Compare the length of this path with the size of Z min : if Z(P l ) < Z min , then make Z min = Z(P l ); if Z(P l ) > εZ min , then P l is an invalid path; if Z(P l ) ≤ εZ min , then P l is temporarily considered to be a valid path and the information related to this node is stored in Pathsback. (7). Finally, Pathsback records the current K valid path information.…”

mentioning

confidence: 99%

See 2 more Smart Citations

A Wide-Area Measurement System-Based Load Encroachment Identification Method Applicable to Power Systems with High Wind Power Penetration

et al. 2023

View full text Add to dashboard Cite

One of the main factors in triggering cascading outages is the unexpected tripping of backup protection caused by load encroachment (LE). Hence, LE should be identified quickly to avoid unexpected tripping. This paper proposes a fast LE identification method based on the wide-area measurement system (WAMS), applicable to transmission grids with high wind power penetration. Firstly, based on the improved shortest path algorithm, the method searches for critical lines greatly affected by the LE to determine the collected range of wide-area information. Then, by analyzing the hidden dangers of the existing calculation method for the active power estimation value (APEV) in the power system with wind farms, a fast calculation method of the APEV based on the WAMS is proposed to ensure that the existing LE identification criterion is still applicable in the high-penetration system of wind power. Finally, based on the PSASP platform, the wind farm model is integrated into the IEEE 39-bus New England system for simulation. The simulation results show that the method proposed in this paper can quickly search for the critical line set (CLS) and accurately identify the LE under high wind power penetration, effectively avoiding the unexpected tripping of backup protection and preventing cascading outages.

show abstract

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

A Wide-Area Measurement System-Based Load Encroachment Identification Method Applicable to Power Systems with High Wind Power Penetration

et al. 2023

View full text Add to dashboard Cite

show abstract

Power Outage Fault Judgment Method Based on Power Outage Big Data

Zhang

2023

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

INTRODUCTION: With the deepening of the application of big data technology, the power sector attaches great importance to power outage judgment. However, many factors affect the judgment result of power outage, and the analysis process is very complicated, which can not achieve the corresponding accuracy. OBJECTIVES: Aiming at the problem that it is impossible to accurately judge the result in judging power failure, a deep mining model of big data is proposed. METHODS: Firstly, the research data set is established using power outage big data technology to ensure the results meet the requirements. Then, the power failure judgment data are classified using big data theory, and different judgment methods are selected. Using big data theory, the accuracy of power failure judgment is verified. RESULTS: The deep mining model of big data can improve the accuracy of power failure judgment and shorten the judgment time of power failure under big data, and the overall result is better than the statistical method of power failure. CONCLUSION: The deep mining model based on power outage big data proposed can accurately judge the power outage fault and shorten the analysis time.

show abstract

Online vulnerability assessment of Zone-3 distance relays against static load Encroachment: A novel approach based on fault chain theory

Cited by 2 publications

References 39 publications

A Wide-Area Measurement System-Based Load Encroachment Identification Method Applicable to Power Systems with High Wind Power Penetration

A Wide-Area Measurement System-Based Load Encroachment Identification Method Applicable to Power Systems with High Wind Power Penetration

Power Outage Fault Judgment Method Based on Power Outage Big Data

Contact Info

Product

Resources

About