• Login
• Admin

Ganjavi, Amin, Christopher, Edward, Johnson, Christopher Mark and Clare, Jon C. (2017) A new analysis for finding the optimum power rating of low voltage distribution power electronics based on statistics and probabilities. In: EPE 2017 ECCE Europe, 11-14 Sept 2017, Warsaw, Poland.

Full text not available from this repository.

Abstract

The continuing trend toward heavier load and high penetration of Distribution Generation (DG) units in low voltage rural distribution feeders requires power electronic-based solution alternatives for voltage regulation purposes. The design of power electronics in terms of size and cost used for feeder voltage regulation is proportional to their KVA ratings. An iterative optimisation algorithm known as Expectation Maximization (EM) is used to identify a powerful probability model known as Gaussian Mixture Model (GMM). This leads to find an optimum KVA rating based on probabilities.

Item Type:	Conference or Workshop Item (Paper)
RIS ID:	https://nottingham-repository.worktribe.com/output/881816
Keywords:	Estimation technique, Power management, Regulation, Simulation
Schools/Departments:	University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Related URLs:	URL URL Type http://www.epe2017.com/ Organisation
Depositing User:	Burns, Rebecca
Date Deposited:	23 Aug 2017 12:42
Last Modified:	04 May 2020 19:05
URI:	https://eprints.nottingham.ac.uk/id/eprint/44836

Actions (Archive Staff Only)

Edit View