Partitioned linear state estimation

Chatterjee, Paroma; Pal, Anamitra; Thorp, James S.; Ree, Jaime De La

doi:10.1109/isgt.2015.7131883

Cited by 8 publications

(2 citation statements)

References 7 publications

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“…In [9], authors proposed a linear state estimation model using Phasor Measurement Unit (PMU). In order to address the interfacing issue between neighboring areas for linear state estimation, authors presented partitioned linear state estimation as an extended concept of linear state estimation [10].…”

Section: Introductionmentioning

confidence: 99%

Decentralized state estimation and remedial control action for minimum wind curtailment using distributed computing platform

Liu

Srivastava

Askerman

et al. 2016

2016 IEEE Industry Applications Society Annual Meeting

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Intermittency of wind energy pose a great challenge for power system operation and control. Wind curtailment might be necessary at certain operating condition to keep the line flow within limit. Remedial Action Scheme (RAS) offers quick control action mechanism to keep reliability and security of the power system operation with high wind energy integration. In this paper, a new RAS is developed to maximize the wind energy integration without compromising the security and reliability of the power system based on a specific utility requirements. A new Distributed Linear State Estimation (DLSE) is also developed to provide the fast and accurate input data for the proposed RAS. A distributed computational architecture is designed to guarantee the robustness of cyber system to support RAS and DLSE implementation. The proposed RAS and DLSE is validated using modified IEEE-U8 Bus system. Simulation results demonstrate the satisfactory performance of the DLSE and effectiveness of RAS.

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Section: Introductionmentioning

confidence: 99%

Decentralized state estimation and remedial control action for minimum wind curtailment using distributed computing platform

Liu

Srivastava

Askerman

et al. 2016

2016 IEEE Industry Applications Society Annual Meeting

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show abstract

“…Its disadvantage is that it cannot take advantage of the majority of measurements in wide area measurement systems. A linear state estimation algorithm using the node voltage phasors and branch current phasors is proposed in [25,26]. The algorithm has a fast computation speed due to the linear measurement equations and the constant Jacobian matrix [27,28].…”

Section: Introductionmentioning

confidence: 99%

A Mixed WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology

Jin

Shen

2018

Energies

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Abstract:To address the issue that the phasor measurement units (PMUs) of wide area measurement system (WAMS) are not sufficient for static state estimation in most existing power systems, this paper proposes a mixed power system weighted least squares (WLS) state estimation method integrating a wide-area measurement system and supervisory control and data acquisition (SCADA) technology. The hybrid calculation model is established by incorporating phasor measurements (including the node voltage phasors and branch current phasors) and the results of the traditional state estimator in a post-processing estimator. The performance assessment is discussed through setting up mathematical models of the distribution network. Based on PMU placement optimization and bias analysis, the effectiveness of the proposed method was proved to be accurate and reliable by simulations of different cases. Furthermore, emulating calculation shows this method greatly improves the accuracy and stability of the state estimation solution, compared with the traditional WLS state estimation.

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Challenges and trade-offs of a cloud hosted phasor measurement unit-based linear state estimator

Chakati

Pore

Pal

et al. 2017

2017 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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Partitioned linear state estimation

Cited by 8 publications

References 7 publications

Decentralized state estimation and remedial control action for minimum wind curtailment using distributed computing platform

Decentralized state estimation and remedial control action for minimum wind curtailment using distributed computing platform

A Mixed WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology

Challenges and trade-offs of a cloud hosted phasor measurement unit-based linear state estimator

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