A flexible framework of line power flow estimation for high-order contingency analysis

Chen, Guo; Dai, Yuanyu; Xu, Zhao; Dong, Zhaoyang; Xue, Yusheng

doi:10.1016/j.ijepes.2015.01.036

Cited by 11 publications

(3 citation statements)

References 27 publications

(49 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The matrix of Line Outage Distribution Factors (LODFs), can be directly derived from the PTDFs and it quantifies the ratio of change in line active flows conditional to the removal of transmission lines one-at-a-time. Specifically, each one of its elements d k l quantify the impact of removing a transmission line k on the active flow in the line l, see [33]- [34]- [35] for further details. Thus, provided a pre-outage active flow in the line l (f l ), it is possible to compute directly the post-contingency flow after failure of the line k (f k l ) as follows [11]:…”

Section: Line Outage Distribution Factors (Lodfs)mentioning

confidence: 99%

A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids

Rocchetta

Patelli

2020

Reliability Engineering & System Safety

View full text Add to dashboard Cite

In the past decades, risk assessment frameworks have been developed as a viable alternative to Security-Constrained Dispatch for power grids. Risk-based dispatch can increase power grid profitability and help better understanding of prominent hazards, however, relevant sources of uncertainty are often neglected to meet efficiency requirements. In this work, a research effort towards the development of advanced risk assessment frameworks for power grids is presented. A surrogate model strategy is proposed and speeds up the post-contingency consequence evaluation by analytical sensitivity indices (Line-Outage Distribution Factor). The risk surrogate model is embedded within a generalized uncertainty quantification framework to evaluate: (1) The amount of epistemic uncertainty affecting the risk index and attributable to imprecision in the parameters of the model; (2) The effect aleatory uncertainty in environmental-operational variables. The surrogate model is tested on the 24 nodes IEEE Reliability Test System. Computational time and accuracy of the results are compared to a high-fidelity AC power flow risk model. Strengths and weaknesses of the proposed framework highlighted.

show abstract

Section: Line Outage Distribution Factors (Lodfs)mentioning

confidence: 99%

A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids

Rocchetta

Patelli

2020

Reliability Engineering & System Safety

View full text Add to dashboard Cite

show abstract

“…However, their integration makes it attainable. Currently, this has been utilized to active PF analysis in cascading outages [27]- [29], leaving the reactive PF analysis unsolved yet.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Assessment of Active and Reactive Power Flow with Satisfying Accuracy for N - k1 - k2 Cascading Outages

Xue

Liu

2021

Journal of Modern Power Systems and Clean Energy

Self Cite

View full text Add to dashboard Cite

Addressed to the Nk 1k 2 cascading outages, it is computationally burdensome for the reliable calculation of active and reactive power flows. This paper builds a comprehensive framework with three algorithms, including the distribution factor (DF), the Newton-Raphson (NR), and the first iteration of NR algorithm (termed as 1J). Classifiers are designed to determine whether the NR algorithm should be employed for accuracy. Classifier features are extracted upon the analytical error of 1J. As reactive power is partially considered in the 1J but neglected in the DF algorithm, the deviation between the solutions is taken as one crucial feature. The support vector machine (SVM) is then utilized for classifier training. As the deep integration of the causal inference and the statistical paradigm, this framework calculates active and reactive power flows rapidly, reliably, and robustly. The effectiveness and robustness are fully validated in three typical IEEE systems. Index Terms--Active power flow, algorithm coordination, causal algorithm, integration of research paradigms, Nk 1k 2 cascading outage, reactive power flow.

show abstract

“…This method reaches notable acceleration in PF calculations, yet with poor accuracy when high order contingencies are involved. Reference [22] considers the high order property, but the accuracy gain from AC model is not fully taken as the non-simultaneousness property is ignored. Anyhow, the above methods are of insufficient robustness resulting from the empirical designation of the PF model.…”

Section: Introductionmentioning

confidence: 99%

Cascading Outage Analyses by Integrating Distribution Factor Method With AC Power Flow

Liu

Xue

2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

Cascading failure may incur catastrophic consequences. The high order and nonsimultaneousness properties are the leading causes for the massive power flow (PF) calculations of the online static security assessment (SSA). Current PF models fail to satisfy the requirements for accuracy, speed, and robustness. This paper proposes a novel method where line outage distribution factor (LODF) model and AC model are coordinated by a binary classifier. The classifier determines the feasibility of LODF model in a specific case by evaluating its potential error. Cases are preferred to be analyzed by LODF model, while the ones with large potential errors will be analyzed by AC model. Case studies of three IEEE systems and the Texas 2000-bus system are given to verify the effectiveness, flexibility, and robustness of the proposed method. INDEX TERMS Cascading outages, classifier, feature, power flow calculation.

show abstract

A flexible framework of line power flow estimation for high-order contingency analysis

Cited by 11 publications

References 27 publications

A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids

A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids

Intelligent Assessment of Active and Reactive Power Flow with Satisfying Accuracy for N - k1 - k2 Cascading Outages

Cascading Outage Analyses by Integrating Distribution Factor Method With AC Power Flow

Contact Info

Product

Resources

About