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Title: Investigation of economic indicators of distribution network operation and development
Author: Cao, Ding-Mel
ISNI:       0000 0001 3519 1183
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2008
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This work investigates the economic indicators of distribution network (DN) operation and development. The overall cost of various voltage control methods which allow increased distributed generation (DG) connection was evaluated. It was found voltage regulators and area based control by OLTCs consistently provide the greatest cost benefits. Reactive power compensation has not been widely applied in the UK DNs. The value of its wide application on accommodating demand growth and facilitating DG penetration was found to vary depending on customers' parameters and voltage control scenarios. The value on active losses reduction is much larger in rural networks than in urban networks and the reduction in reactive import from the transmission grid is similar for both. The impact of DG in mainland Europe, namely Finnish DNs was evaluated and the results were compared with the UK cases. It was found that DG impacts on investment and operating costs strongly depends on the operation schemes, network structures and customer parameters. The impact of several potential network design strategies on losses has previously not been clear. The preliminary studies which quantified their impacts on the DN losses found that removing the 33kV network brings more benefit on losses reduction in urban networks than in rural networks and the impact of shortening 11 kV circuits and extending 33kV circuits on overall losses was small. The impact of implementing various DN charging methodologies on long term network investment and losses was previously unclear. This research developed a DN charging model to evaluate the impact on network investment cost and losses due to customers' responses. It was found that more benefit will be obtained on reducing cost and facilitating DG installation, when charging approaches provide locational, temporal and reactive power charge signals to customers.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available