Dynamic equivalence by an optimal strategy

Ramirez, Juan M.; Hernández, Blanca V.; Correa, Rosa E.

doi:10.1016/j.epsr.2011.09.023

Cited by 17 publications

(5 citation statements)

References 23 publications

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“…Chakrabortty et al [24] have described an algorithm for constructing simplified interarea models of large power networks, using dynamic measurements available from phasor measurement units (PMUs). Ramirez et al [25] have proposed a robust dynamic reduction approach to reduce the computational burden and time of transient stability studies. Rueda et al [26] have introduced an identification approach of the dynamic equivalent parameters, from measured operational dynamic responses associated to different disturbances.…”

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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“…Generally, a single case is not adequate to completely solve the estimation problem. In most situations, the equivalent is identified based on a specific disturbance and may not be valid for those disturbances with a different impact on the system [37]. Thus, to avoid the identification of the equivalent based on a specific disturbance, a set of events can be registered.…”

Section: Problem Formulation Based On Measurementsmentioning

confidence: 99%

A novel measurement-based procedure for dynamic equivalents of electric power systems for stability studies using improved sine cosine algorithm

Benmiloud

Arif

2019

Journal of Electrical Engineering

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Dynamic equivalent (DE) is an important process of multi-area interconnected power systems. It allows to perform stability assessment of a specific area (area of interest) at minimum cost. This study is intended to investigate the dynamic equivalent of two relatively large power systems. The fourth-order model of synchronous generators with a simplified excitation system is used as equivalent to the group of generators in the external system. To improve the accuracy of the estimated model, the identification is carried in two stages. First, using the global search Sine Cosine Algorithm (SCA) to find a starting set values, then this set is used as starting point for the fine-tuning made through the Pattern Search (PS) algorithm. To increase the reliability of the model’s parameters, two disturbances are used to avoid the identification based on a specific event. The developed program is applied on two standard power systems, namely, the New England (NE) system and the Northeast Power Coordinating Council (NPCC) system. Simulation results confirm the ability of the optimized model to preserve the main dynamic properties of the original system with accuracy.

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“…For the 129-bus Italian 400 kV transmission system, the bintprog determines 40 PMUs. Another realistic power system is the Mexican power system consisting of 190 buses and 46 generators [30]. In order to be fully observable, the branch and bound through bintprog finds 59 PMUs devices.…”

Section: Case Studymentioning

confidence: 99%

Application of Synchronized Phasor Measurements Units in Power Systems

Theodorakatos¹

2017

THE IJES

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The last decades, electric power industry is undergoing multiple changes due to the process of deregulation, providing efficient power generation, technological innovations, and eventually lower retail prices. In this environment, dynamic phenomena in power systems have made ever more urgent the development of reliable tools for their monitoring and control. An effective tool for the close monitoring of their operation conditions is the state estimator. The traditional estimators are based on real time measurements obtained through SCADA (Supervisory Control and Data Acquisition) system. These measurements are commonly provided by the remote terminal units (RTUs) installed at the high voltage substations. The phase angle of bus voltages can not be easily measured due to technical difficulties associated with the synchronization of measurements at RTUs. Global Positioning System (GPS) alleviated these difficulties and led to the development of Phasor Measurement Units (PMUs). This weakness was eliminated with the arrival of GPS, which led to the development of Phasor Measurement Units. A PMU unit, equipped with a GPS receiver, provides high accuracy voltage and current phasor measurements with respect to a common reference phase angle. In the first part of the paper, an overview of the PMU technology and a review about the optimal allocation of PMUs in power network are presented. The most important issues regarding design and operation of PMUs are discussed and an analysis of their commercial penetration in the electric energy markets is made. The second part of the paper presents a wide range of applications related with the choice of the strategic PMU placement as well as an algorithm for finding the optimal number of PMUs needed for full observability.

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Dynamic equivalence by an optimal strategy

Cited by 17 publications

References 23 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

A novel measurement-based procedure for dynamic equivalents of electric power systems for stability studies using improved sine cosine algorithm

Application of Synchronized Phasor Measurements Units in Power Systems

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