A Fazeli
Power flow control for power and voltage management in future smart energy communities
Fazeli, A; Sumner, M.; Christopher, Edward; Johnson, Christopher Mark
Authors
Professor MARK SUMNER MARK.SUMNER@NOTTINGHAM.AC.UK
PROFESSOR OF ELECTRICAL ENERGY SYSTEMS
Edward Christopher
Professor MARK JOHNSON MARK.JOHNSON@NOTTINGHAM.AC.UK
PROFESSOR OF ADVANCED POWER CONVERSION
Abstract
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.
Citation
Fazeli, A., Sumner, M., Christopher, E., & Johnson, C. M. Power flow control for power and voltage management in future smart energy communities. Presented at 3rd Renewable Power Generation Conference (RPG 2014)
Conference Name | 3rd Renewable Power Generation Conference (RPG 2014) |
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End Date | Sep 25, 2014 |
Acceptance Date | May 9, 2014 |
Online Publication Date | Dec 22, 2014 |
Publication Date | Sep 24, 2014 |
Deposit Date | Jun 29, 2017 |
Publicly Available Date | Jun 29, 2017 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/735397 |
Publisher URL | http://ieeexplore.ieee.org/document/6993243/ |
Contract Date | Jun 29, 2017 |
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