Distribution power flow management utilising an online constraint programming method

Michael James Dolan; Euan Davidson; Graham Ault; Keith Bell; Stephen McArthur

doi:10.1109/TSG.2012.2234148

Distribution power flow management utilising an online constraint programming method

Michael James Dolan, Euan Davidson, Graham Ault, Keith Bell, Stephen McArthur

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

This paper presents a novel active power flow management (PFM) method for managing multiple distributed generator (DG) units connected to medium voltage distribution networks. The method uses the artificial intelligence technique of constraint programming to autonomously manage DG real power outputs and offers flexible and network agnostic characteristics. The method is assessed using multiple scenarios on two real case study networks to examine simulated closed-loop control actions under certain thermal excursions. The test cases are explored with algorithms implemented, in software, on commercially available substation computing hardware to identify computation timescales and investigate algorithm robustness when presented with measurement error. The archival value of this paper is in the specification and evaluation of a novel application of the constraint programming technique for online control of DG in thermally constrained distribution networks.

Original language	English
Pages (from-to)	798 - 805
Number of pages	8
Journal	IEEE Transactions on Smart Grid
Volume	4
Issue number	2
Early online date	8 Mar 2013
DOIs	https://doi.org/10.1109/TSG.2012.2234148
Publication status	Published - Jun 2013

Keywords

power flow management
distribution
substations
online optimal power flow technique
voltage control
generators
integrated circuit interconnections
load flow
real time systems
software

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10.1109/TSG.2012.2234148

Aura-NMS: Autonomous Regional Active Network Management System
McArthur, S. (Principal Investigator), Ault, G. (Co-investigator), McDonald, J. (Co-investigator) & Moore, P. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/06 → 30/06/10
Project: Research

Cite this

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title = "Distribution power flow management utilising an online constraint programming method",

abstract = "This paper presents a novel active power flow management (PFM) method for managing multiple distributed generator (DG) units connected to medium voltage distribution networks. The method uses the artificial intelligence technique of constraint programming to autonomously manage DG real power outputs and offers flexible and network agnostic characteristics. The method is assessed using multiple scenarios on two real case study networks to examine simulated closed-loop control actions under certain thermal excursions. The test cases are explored with algorithms implemented, in software, on commercially available substation computing hardware to identify computation timescales and investigate algorithm robustness when presented with measurement error. The archival value of this paper is in the specification and evaluation of a novel application of the constraint programming technique for online control of DG in thermally constrained distribution networks.",

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AU - Dolan, Michael James

AU - Davidson, Euan

AU - Ault, Graham

AU - Bell, Keith

AU - McArthur, Stephen

PY - 2013/6

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AB - This paper presents a novel active power flow management (PFM) method for managing multiple distributed generator (DG) units connected to medium voltage distribution networks. The method uses the artificial intelligence technique of constraint programming to autonomously manage DG real power outputs and offers flexible and network agnostic characteristics. The method is assessed using multiple scenarios on two real case study networks to examine simulated closed-loop control actions under certain thermal excursions. The test cases are explored with algorithms implemented, in software, on commercially available substation computing hardware to identify computation timescales and investigate algorithm robustness when presented with measurement error. The archival value of this paper is in the specification and evaluation of a novel application of the constraint programming technique for online control of DG in thermally constrained distribution networks.

KW - power flow management

KW - distribution

KW - substations

KW - online optimal power flow technique

KW - voltage control

KW - generators

KW - integrated circuit interconnections

KW - load flow

KW - real time systems

KW - software

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DO - 10.1109/TSG.2012.2234148

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EP - 805

JO - IEEE Transactions on Smart Grid

JF - IEEE Transactions on Smart Grid

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ER -

Distribution power flow management utilising an online constraint programming method

Abstract

Keywords

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Projects

Aura-NMS: Autonomous Regional Active Network Management System

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