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Journal name: IEEE Transactions on Smart GridĪbstract:The possibility of leveraging the data provided by smart meters to understand the load characteristics is studied in this paper.

Title:A framework for volt-VAR optimization in distribution systemsĪuthors: H.

Restoration simulation contingency planning pss sincal download#

Further applications of load composition data are also discussed.ĭownload Link: click here to download the paper and additional material From a system operator perspective, load composition in near-real-time provides the loads’ voltage dependence that are needed, for example, in Volt-VAR Optimization (VVO) in distribution systems. The distributed computation that can be achieved by performing simple calculations at each smart meter, without the need for sending intensive data to a central processor, is beneficial.

The proposed method can be implemented at the smart meters level. A list of all the on-line devices is always stored and can be accessed at any time. Each load measurement is transformed into a photo and an efficient face recognition algorithm is applied to the set of photos. Similar to human faces, every load has a distinct signature. Eigenloads are basically the eigenvectors describing the load signatures space. This library consists of a set of measurements projected onto the eigenloads space.

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In this paper, loads’ current and voltage waveforms are processed offline to form a comprehensive library.

Load decomposition can be done at the smart meters level, providing a better understanding of the load behavior at near-real-time. Journal name: IEEE Transactions on Power SystemsĪbstract:The deployment of the advanced metering infrastructure (AMI) in distribution systems provides an excellent opportunity for load monitoring applications. Title:Load decomposition at smart meters level using eigenloads approach List of publications related to I2Sim and Power Systemįor the most up to date publications please refer to Dr.