A hybrid artificial neural network (ANN) and Ward equivalent approach for on-line power system voltage security assessment

Fu, Ying; Chung, T.S.

doi:10.1016/s0378-7796(99)00060-7

Cited by 9 publications

(6 citation statements)

References 12 publications

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“…An extended Ward equivalent method has been used for power system contingency analysis and static security assessment in the work of Srivani et al [8]. Fu et al [9] have proposed a hybrid method based on artificial neural network (ANN) and Ward-type equivalency for fast and online voltage security assessment of power systems. The proposed approach possesses good properties of Ward equivalent method, and can update the parameters of the equivalent model for representing real-time topology change of the external system.…”

Section: Literature Reviewmentioning

confidence: 99%

A Recursive Least-Squares Approach with Memorizing Factor for Deriving Dynamic Equivalents of Power Systems

Karami

2021

Adv. technol. innov.

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In this research, a two-stage identification-based approach is proposed to obtain a two-machine equivalent (TME) system of an interconnected power system for transient stability studies. To estimate the parameters of the equivalent system, a three-phase fault is applied near and/or at the bus of a local machine in the original multimachine system. The electrical parameters of the equivalent system are calculated in the first stage by equating the active and reactive powers of the local machine in both the original and the predefined equivalent systems. The mechanical parameters are estimated in the second stage by using a recursive least-squares estimation (RLSE) technique with a factor called “memorizing factor”. The approach is demonstrated on New England 10-machine 39-bus system, and its accuracy and efficiency are verified by computer simulation in MATLAB software. The results obtained from the TME system agree well with those obtained from the original multimachine system.

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Section: Literature Reviewmentioning

confidence: 99%

A Recursive Least-Squares Approach with Memorizing Factor for Deriving Dynamic Equivalents of Power Systems

Karami

2021

Adv. technol. innov.

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“…But the load on the system changes every instant and hence the power injections at the boundary buses will also change from time to time. There are pattern recognition techniques to match the boundary power injections, such that it reflects the topology changes of the internal system [10]. Neural Network Techniques are useful when the information about the external system is inadequate.…”

Section: Network Equivalentsmentioning

confidence: 99%

Network partitioning using harmony search and equivalencing for distributed computing

Ezhilarasi

2012

Journal of Parallel and Distributed Computing

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“…In recent years, new methods such as fuzzy decision trees [12], Bayes' classifiers [13], Monte Carlo methods [14] probability methods [15], artificial neural networks (ANN) [16] [17] and perturbation methods [18] are used for the assessment of probabilistic security, equipment liability, voltage security of power transmission system, and construction project safety management. Few of them are related to the assessment of management work during TPPs production.…”

Section: Literature Reviewmentioning

confidence: 99%

Case-based safety assessment of thermal power plants: A framework

Liang

Bichindaritz

et al. 2011

2011 International Conference on Business Management and Electronic Information

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Security assessment of Thermal Power Plants (TPPs) is one of the important means to guarantee the safety of production in thermal power production enterprises. Essentially, the evaluation of power plant systems relies to a large extent on the knowledge and length of experience of the experts. Therefore in this domain Case-Based Reasoning (CBR) is introduced for the security assessment of TPPs since this methodology models expertise through experience management. Taking the management system of TPPs as breakthrough point, this paper presents a case-based approach for the security assessment decision support of TPPs (SATPP). First, this paper reviews commonly used approaches for TPPs security assessment and the current general evaluation process of TPPs security assessment. Then a framework for the Management System Security Assessment of Thermal Power Plants (MSSATPP) is constructed and an Intelligent Decision Support System for MSSATPP (IDSS-MSSATPP is functionally designed. MSSATPP involves several key technologies and methods suchas knowledge representation and case matching. Keywords-thermal power plants; intelligent decision support;safety assessment; case-based reasoning; service system ___________________________________ 978-1-61284-109-0/11/$26.00 ©2011 IEEE As shown in Fig.3, for the sake of providing better support for experts, model based and method based components are also designed in IDSS-MSSATPP. Moreover, the security domain knowledge base of TPPs production is also contained. With these functions, the reasoning ability of IDSS-MSSATPP will get significantly increased. Not only can it be used to for knowledge acquisition, further, it is able to be used for case reuse and the maintenance of the case base.

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A hybrid artificial neural network (ANN) and Ward equivalent approach for on-line power system voltage security assessment

Cited by 9 publications

References 12 publications

A Recursive Least-Squares Approach with Memorizing Factor for Deriving Dynamic Equivalents of Power Systems

A Recursive Least-Squares Approach with Memorizing Factor for Deriving Dynamic Equivalents of Power Systems

Network partitioning using harmony search and equivalencing for distributed computing

Case-based safety assessment of thermal power plants: A framework

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