Power flow control for power and voltage management in future smart energy communities

The Community Power Flow Control (CPFC) Algorithm has been proposed as a technique for managing electrical power and energy within small communities. The CPFC manages the resources in the community (DSM, energy storage, RES) in order to control the community’s instantaneous power flow according to a...

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Main Authors: Fazeli, A, Sumner, M., Christopher, Edward, Johnson, Christopher Mark
Format: Conference or Workshop Item
Published: 2014
Online Access:https://eprints.nottingham.ac.uk/43406/
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author Fazeli, A
Sumner, M.
Christopher, Edward
Johnson, Christopher Mark
author_facet Fazeli, A
Sumner, M.
Christopher, Edward
Johnson, Christopher Mark
author_sort Fazeli, A
building Nottingham Research Data Repository
collection Online Access
description The Community Power Flow Control (CPFC) Algorithm has been proposed as a technique for managing electrical power and energy within small communities. The CPFC manages the resources in the community (DSM, energy storage, RES) in order to control the community’s instantaneous power flow according to a target set by a higher-level management system. This paper investigates the capability of the CPFC to manage local distribution voltage levels. The power flow data for a community has been used together with transformer and cable impedance models to demonstrate the variation of the distribution voltage in a community with significant penetration of PV and EV. The CPFC is shown to manage the voltage levels along a feeder within the statutory limits, even when there is significant export.
first_indexed 2025-11-14T19:51:50Z
format Conference or Workshop Item
id nottingham-43406
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:51:50Z
publishDate 2014
recordtype eprints
repository_type Digital Repository
spelling nottingham-434062020-05-04T16:53:29Z https://eprints.nottingham.ac.uk/43406/ Power flow control for power and voltage management in future smart energy communities Fazeli, A Sumner, M. Christopher, Edward Johnson, Christopher Mark The Community Power Flow Control (CPFC) Algorithm has been proposed as a technique for managing electrical power and energy within small communities. The CPFC manages the resources in the community (DSM, energy storage, RES) in order to control the community’s instantaneous power flow according to a target set by a higher-level management system. This paper investigates the capability of the CPFC to manage local distribution voltage levels. The power flow data for a community has been used together with transformer and cable impedance models to demonstrate the variation of the distribution voltage in a community with significant penetration of PV and EV. The CPFC is shown to manage the voltage levels along a feeder within the statutory limits, even when there is significant export. 2014-09-24 Conference or Workshop Item PeerReviewed Fazeli, A, Sumner, M., Christopher, Edward and Johnson, Christopher Mark (2014) Power flow control for power and voltage management in future smart energy communities. In: 3rd Renewable Power Generation Conference (RPG 2014), 24-25 September 2014, Naples, Italy. http://ieeexplore.ieee.org/document/6993243/
spellingShingle Fazeli, A
Sumner, M.
Christopher, Edward
Johnson, Christopher Mark
Power flow control for power and voltage management in future smart energy communities
title Power flow control for power and voltage management in future smart energy communities
title_full Power flow control for power and voltage management in future smart energy communities
title_fullStr Power flow control for power and voltage management in future smart energy communities
title_full_unstemmed Power flow control for power and voltage management in future smart energy communities
title_short Power flow control for power and voltage management in future smart energy communities
title_sort power flow control for power and voltage management in future smart energy communities
url https://eprints.nottingham.ac.uk/43406/
https://eprints.nottingham.ac.uk/43406/