A data-driven approach for online dynamic security assessment with spatial-temporal dynamic visualization using random bits forest

Liu, Songkai; Liu, Lihuang; Yang, Nan; Mao, Dan; Zhang, Lei; Cheng, Jinmin; Xue, Tianliang; Liu, Lian; Yan, Guanghui; Li, Qiu; Chen, Xi; Zhang, Menglin; Shi, Ruoyuan

doi:10.1016/j.ijepes.2020.106316

Cited by 22 publications

(10 citation statements)

References 23 publications

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“…(1) Evaluation Indices To measure the OSA accuracy of the proposed integrated scheme, two statistical indices are used in this paper: the residuals squared error (R 2 ) and the root mean squared error (RMSE) [27,28].…”

Section: Oscillatory Stability Assessment (Osa) Performance Testmentioning

confidence: 99%

A Data-Driven Approach for Online Inter-Area Oscillatory Stability Assessment of Power Systems Based on Random Bits Forest Considering Feature Redundancy

et al. 2021

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To utilize the rapidly refreshed operating data of power systems fully and effectively, an integrated scheme for inter-area oscillatory stability assessment (OSA) is proposed in this paper using a compositive feature selection unit and random bits forest (RBF) algorithm. This scheme consists of offline, update, and online stages, and it can provide fast and accurate estimation of the oscillatory stability margin (OSM) by using the real-time system operating data. In this scheme, a compositive feature selection unit is specially designed to realize efficient feature selection, which can significantly reduce the data dimensionality, effectively alleviate feature redundancy, and provide accurate correlation information to system operators. Then, the feature set consisting of the selected pivotal features is used for the RBF training to build the mapping relationships between the OSM and the system operating variables. Moreover, to enhance the robustness of the scheme in the face of variable operating conditions, an update stage is developed. The effectiveness of the integrated scheme is verified on the IEEE 39-bus system and a larger 1648-bus system. Tests of estimation accuracy, data processing speed, and the impact of missing data and noise data on this scheme are implemented. Comparisons with other methods reveal the superiority of the integrated scheme. In addition, the robustness of the scheme to variations in system topology, distribution among generators and loads, and peak and minimum load is studied.

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Section: Oscillatory Stability Assessment (Osa) Performance Testmentioning

confidence: 99%

A Data-Driven Approach for Online Inter-Area Oscillatory Stability Assessment of Power Systems Based on Random Bits Forest Considering Feature Redundancy

et al. 2021

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“…As an IT organization, it is an open conduction plot that simply embraces server virtualization technologies. Liu et al (2021), explain why virtualization of servers has three distinct problems: breakdown of IT services; probable increases in security risks, and more complexity in the administration of change. On the other hand, modern virtualization technologies allow effective utilization of underutilized hardware and software by distributing them on the same virtual computer amongst virtual computers.…”

Section: Impacts Of Virtualizationmentioning

confidence: 99%

Effectiveness of Virtualization in the Process of Running a Virtual Instance of a Computer System in a Layer Abstracted from the Actual Hardware

Chhajer¹,

Satapathy²

2021

IOTCCR

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Under this research paper many different kinds of viewpoints concept of Virtualizations, the use of visualization for security reasons, and the Importance of IoT in the virtualization process. Moreover, this paper will signify that Different virtual environments are offered through a virtualized IT firm, which has to be accepted and operated if technology evolves quickly. This research paper will highlight many different types of strong and sustainable viewpoints about the visualization process and its impacts. It can be a supportive way for the next researcher to understand the scope of this research paper in a proper manner. In order to conduct a proper understanding of the effect of virtualization in running a virtual instance of a computer system from actual hardware will be the main aim of this paper. On the other hand, virtualization may also be described as a technique that can theoretically divide a server's physical resources and use it as several, separated computers known as virtual machines.

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“…In recent studies, different approaches have been suggested to update the assessment model. Most conventional methods re-train ML algorithms with a new dataset to keep security assessment updated [11,13]. The training process is quite time-consuming, and re-training the whole model may bring computational limitations to online applications.…”

Section: Introductionmentioning

confidence: 99%

Novel continuous learning scheme for online static security assessment based on the weather‐dependent security index

Mollaiee

Ameli

Azad

2022

IET Generation Trans & Dist

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Due to the expansion of the decarbonization in modern power systems, particularly the high integration of renewable energy resources, more and more uncertainties and variabilities are brought to electricity systems. These uncertainties change the system operating conditions and face the power system with unknown issues. The secure operation of modern power systems requires developing security assessment techniques that effectively mitigate the variation of the operating conditions. This paper proposes a novel continuous learning scheme for online static security assessment (SSA) that enables the periodic renovation of the assessment model. The scheme consists of a Mondrian forest (MF)‐based training model and database generation approach conducting characteristics of operating conditions. The employed security index is a new weather‐depended performance index whose ambient temperature can affect line ratings. After the new training set is generated in the update procedure, the MF algorithm is updated using this data. Eventually, the SSA model is enriched with current circumstances in the power system. The proposed scheme is examined using real‐world data mapped to the New England 39‐bus and 118‐bus standard test systems. The effectiveness and superior performance of the proposed method are demonstrated using various criteria and measures.

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A data-driven approach for online dynamic security assessment with spatial-temporal dynamic visualization using random bits forest

Cited by 22 publications

References 23 publications

A Data-Driven Approach for Online Inter-Area Oscillatory Stability Assessment of Power Systems Based on Random Bits Forest Considering Feature Redundancy

A Data-Driven Approach for Online Inter-Area Oscillatory Stability Assessment of Power Systems Based on Random Bits Forest Considering Feature Redundancy

Effectiveness of Virtualization in the Process of Running a Virtual Instance of a Computer System in a Layer Abstracted from the Actual Hardware

Novel continuous learning scheme for online static security assessment based on the weather‐dependent security index

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