Optimal Restoration/Maintenance Switching Sequence of Unbalanced Three-Phase Distribution Systems

López, Juan Camilo; Franco, John F.; Rider, Marcos J.; Romero, Rubén

doi:10.1109/tsg.2017.2703152

Cited by 80 publications

(59 citation statements)

References 30 publications

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“…Operational limits regarding the capability curve of DG units are considered in (7) and (8), while nodal voltage and branch magnitude limits are considered in (14) and (13), respectively. Finally, (15) states the binary nature of variable µ g .…”

Section: Minlp Optimal Power Flowmentioning

confidence: 99%

A Novel Linear Optimal Power Flow Model for Three-Phase Electrical Distribution Systems

Giraldo¹,

Vergara²,

López³

et al. 2020

Preprint

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This paper presents a new linear optimal power flow model for three-phase unbalanced electrical distribution systems considering binary variables. The proposed formulation is a mixed-integer linear programming problem, aiming at minimizing the operational costs of the network while guaranteeing operational constraints. Two new linearizations for branch current and nodal voltage magnitudes are introduced. The proposed branch current magnitude linearization provides a discretization of the Euclidean norm through a set of intersecting planes; while the bus voltage magnitude approximation uses a linear combination of the L1 and the L norm. Results were obtained for an unbalanced distribution system, in order to assess the accuracy of the linear formulation when compared to a nonlinear power flow with fixed power injections, showing errors of less than 4% for currents and 0.005% for voltages.

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Section: Minlp Optimal Power Flowmentioning

confidence: 99%

A Novel Linear Optimal Power Flow Model for Three-Phase Electrical Distribution Systems

Giraldo¹,

Vergara²,

López³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this paper, the optimization model in [25] is used to represent and deploy the restoration plan of the centralized self-healing scheme in unbalanced three-phase EDS. The model in [25] considers the operation of remotely-controlled switches for transferring de-energized sections of the system to other feeders and for isolating the fault. Also, if available, dispatchable distributed generation (DG) units can be rescheduled to improve the impact of the restoration plan.…”

Section: A Oop Problem: Self-haling Schemementioning

confidence: 99%

Parsimonious Short-Term Load Forecasting for Optimal Operation Planning of Electrical Distribution Systems

López

Rider

2019

IEEE Trans. Power Syst.

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“…This partly reflects the stochasticity of customer demand. Regarding system restoration issue, optimal approaches have been proposed for restoring different groups of customers after extreme events in the literature [6]- [8]. Our proposed method can provide the marginal PDF of demand increase for a group of customers by convolving the marginal PDFs of demand increase of individual customers [31], which is useful for the utilities to perform restoration risk evaluation.…”

Section: ) Clpu Ratio Estimation and Regression Analysismentioning

confidence: 99%

A Data-Driven Framework for Assessing Cold Load Pick-Up Demand in Service Restoration

Dehghanpour

Wang

et al. 2019

IEEE Trans. Power Syst.

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Cold load pick-up (CLPU) has been a critical concern to utilities. Researchers and industry practitioners have underlined the impact of CLPU on distribution system design and service restoration. The recent large-scale deployment of smart meters has provided the industry with a huge amount of data that is highly granular, both temporally and spatially. In this paper, a data-driven framework is proposed for assessing CLPU demand of residential customers using smart meter data. The proposed framework consists of two interconnected layers: 1) At the feeder level, a nonlinear auto-regression model is applied to estimate the diversified demand during the system restoration and calculate the CLPU demand ratio. 2) At the customer level, Gaussian Mixture Models (GMM) and probabilistic reasoning are used to quantify the CLPU demand increase. The proposed methodology has been verified using real smart meter data and outage cases.Index Terms-Cold load pick-up, distribution systems, service restoration, least squares support vector machine, Gaussian Mixture Model.

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Optimal Restoration/Maintenance Switching Sequence of Unbalanced Three-Phase Distribution Systems

Cited by 80 publications

References 30 publications

A Novel Linear Optimal Power Flow Model for Three-Phase Electrical Distribution Systems

A Novel Linear Optimal Power Flow Model for Three-Phase Electrical Distribution Systems

Parsimonious Short-Term Load Forecasting for Optimal Operation Planning of Electrical Distribution Systems

A Data-Driven Framework for Assessing Cold Load Pick-Up Demand in Service Restoration

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