A Systematic Approach for Dynamic Security Assessment and the Corresponding Preventive Control Scheme Based on Decision Trees

Liu, Chengxi; Sun, Kai; Rather, Zakir Hussain; Chen, Zhe; Bak, Claus Leth; Thøgersen, Paul; Lund, Per

doi:10.1109/tpwrs.2013.2283064

Cited by 174 publications

(56 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Load shedding, considered as corrective action, is verified in various literatures [134][135][136][137][138]. Other various mathematical modelling and optimisation techniques include: PSO [139], decision trees [140][141][142][143][144][145], model predictive control [146], ant colony system [147][148][149], GA and ANN [150], differential evolution [151,152], and various other optimisation techniques [153,154].…”

Section: System Operationmentioning

confidence: 99%

Time‐horizons in the planning and operation of transmission networks: an overview

Khuntia

Tuinema

Rueda

et al. 2016

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

In the planning and operation of power systems, actions are taken in different processes and time-horizons. The purpose of these actions is to secure a high reliability level. Although the three main processes (grid development, asset management, and system operation) are described in literature, there has been no explicit study on the time-horizons (long-term, mid-term, and short-term) and actual time-scale (decades, years, months, etc.) that these processes focus on. This study aims at making a review of the various activities performed by transmission system operators while reviewing the concept of each time-horizon and methodologies developed in literature. As decisions taken in different time-horizons can influence each other, the interactions and overlapping are discussed.

show abstract

Section: System Operationmentioning

confidence: 99%

Time‐horizons in the planning and operation of transmission networks: an overview

Khuntia

Tuinema

Rueda

et al. 2016

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

show abstract

“…Authors propose a new method which significantly outperforms extant DT algorithms. Liu et al (2014) propose a DT-based systematic approach for cooperative online power system dynamic security assessment and preventive control. The DT approach adopts a new methodology that trains two contingency-oriented DTs on a daily basis by the databases generated from power system simulations.…”

Section: Dt Algorithmmentioning

confidence: 99%

Automated validation of structured large databases: an illustration of material code bulk validation

Patankar

Dulluri

2016

IJBDI

View full text Add to dashboard Cite

Abstract:The accumulation of data and henceforth the storage is growing at an exponential phase owing to the decrease in the memory costs and increasingly complex business processes. With the increased data, typically there would be an increase in the complexity of validating the data. Often, the complexity and effort in validation of large scale databases grows nonlinearly with the increase in database size (Lee et al., 1999). In this paper, we discuss a novel methodology for bulk validation of large scale structured databases. The approach we propose is generic and has been tested in a real time environment. We present an illustration of validation on a material codes validation problem faced by a Fortune 100 enterprise. The demonstration would highlight the heterogeneity, and scale-scope of data validation related problems and henceforth tackling these problems effectively via application of machine learning techniques on Big Data.

show abstract

“…For example, researchers in [11] utilize dynamic simulations to train a DT for monitoring a specific contingency in the French network. In a similar vein, authors in [12] propose a DT-based approach for online DSA and preventive control. Two DTs are generated on a daily basis; one for detecting security issues on the basis of observable variables and one for providing online decision support for suitable preventive measures.…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids

Konstantelos

Jamgotchian²,

Tindemans

et al. 2017

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

Abstract-This paper presents a computational platform for dynamic security assessment (DSA) of large electricity grids, developed as part of the iTesla project. It leverages High Performance Computing (HPC) to analyze large power systems, with many scenarios and possible contingencies, thus paving the way for pan-European operational stability analysis. The results of the DSA are summarized by decision trees of 11 stability indicators. The platform's workflow and parallel implementation architecture is described in detail, including the way commercial tools are integrated into a plug-in architecture. A case study of the French grid is presented, with over 8000 scenarios and 1980 contingencies. Performance data of the case study (using 10,000 parallel cores) is analyzed, including task timings and data flows. Finally, the generated decision trees are compared with test data to quantify the functional performance of the DSA platform.Index Terms-High performance computing, Monte Carlo methods, power system simulation, power system stability.

show abstract

A Systematic Approach for Dynamic Security Assessment and the Corresponding Preventive Control Scheme Based on Decision Trees

Cited by 174 publications

References 22 publications

Time‐horizons in the planning and operation of transmission networks: an overview

Time‐horizons in the planning and operation of transmission networks: an overview

Automated validation of structured large databases: an illustration of material code bulk validation

Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids

Contact Info

Product

Resources

About