State Estimation in Power Systems Part II: Implementation and Applications

Larson, Robert E.; Tinney, W.F.; Hajdú, László; Piercy, D. S.

doi:10.1109/tpas.1970.292712

Cited by 66 publications

(16 citation statements)

References 9 publications

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“…• Power flow analysis and state estimation to determine system state subject to transmission line thermal limits and bus voltage upper/lower limits [46], [64]. • Optimal power flow analysis to determine cost of energy subject to the cost of generation, the transmission line thermal limits, the bus voltage upper/lower limits [10].…”

Section: Making the Case For Blind Processingmentioning

confidence: 99%

Blind processing: Securing data against system administrators

Güneş

Evrenosoğlu

2010

2010 IEEE/IFIP Network Operations and Management Symposium Workshops

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Multi-owner systems such as power grid need information from all parties to operate efficiently. However, in general, information sharing is limited by market and other constraints. In addition, the emerging problem of demand side management in distribution systems as a part of "smarter grid" efforts, secure communication and execution between the utilities and the customers is required to ensure the privacy. In this paper, we propose blind processing, a novel communication and execution approach for entities that compete with each other but need to cooperate for the overall good of the system. Our goal is to allow information exchange between system components with protection mechanisms against everyone including system administrators. Shielding information will prevent gaining access to the sensitive data while providing a complete picture of the whole system in computations. Such a security mechanism can be provided by employing the functionality of Trusted Computing, a security technology that utilizes hardware and software modules to improve the trustworthiness of a system. Sensing and Control SubsystemsOffline communication Operation Center A Operation Center B Communication and Control LinesOperation Operation Center C Operation Center D

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Section: Making the Case For Blind Processingmentioning

confidence: 99%

Blind processing: Securing data against system administrators

Güneş

Evrenosoğlu

2010

2010 IEEE/IFIP Network Operations and Management Symposium Workshops

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“…The dependence on the iteration index is implicitly assumed for Dx, J and Dz, where the current state vector is updated at each iteration until a stopping criterion is reached. Further details of the WLS formulation are available in [9][10][11][12][13][14][15].…”

Section: Weighted Least Squaresmentioning

confidence: 99%

Uncertainty modelling in power system state estimation

Al-Othman

Irving

2005

IEE Proc., Gener. Transm. Distrib.

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A method for uncertainty analysis in power system state estimation is proposed. The two-step method uses static weighted least-squares analysis to compute 'point' state estimates. Linear programming is then employed to obtain the upper and lower bounds of the uncertainty interval. It is shown that the method can provide useful additional information for both metered and nonmetered elements of the system. The effects of network parameter errors are also studied. For illustrative purposed, the proposed method is tested using the six-bus and IEEE 30-bus standard systems. Results show that the proposed method is an accurate and reliable tool for estimating the uncertainty bounds in power system state estimation.

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“…The general concepts of state estimation in power system including formulation and implementation have been discussed by the authors in [6,7]. The effect of massive data loss from a control center in a large scale power system and the type of measurements that can be included to provide a better state estimator solution was analyzed [10].…”

Section: Introductionmentioning

confidence: 99%

A Review of Power System State Estimation by Weighted Least Square Technique

2015

IJAERD

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--The control centers of utilities receive abundant raw measurements from power system networks. The measurements may be destroyed or lost while being transmitted to the control centers due to defects in sensors or loss of communication during a natural disaster. In such cases the raw data has to be processed before being used for analysis by various Energy Management System (EMS) applications. State estimation is a computer program that helps to process the raw measurements and determine the power system states from them. Vector consisting of bus voltage magnitudes and their respective bus phase angles are states of an electric power system. In recent years, a wide range of state estimation methods has emerged, and this paper provides an overview of the commonly used state estimation method. It outlines Weighted Least Square Technique and the steps involved in the estimation.

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State Estimation in Power Systems Part II: Implementation and Applications

Cited by 66 publications

References 9 publications

Blind processing: Securing data against system administrators

Blind processing: Securing data against system administrators

Uncertainty modelling in power system state estimation

A Review of Power System State Estimation by Weighted Least Square Technique

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