Network voltage controller for distributed generation

• Type: Article in International Scientific Journal
• Date: 2004

Authors

Hird, CM (Author) Other; Helder Leite (Author) Other; Jenkins, N (Author) Other; Li, H (Author) Other

Journal

Title: IEE Proceedings: Generation, Transmission and Distribution

Vol. 151

Pages: 150-156

ISSN: 1350-2360

Publisher: Institute of Electrical Engineers

Indexing

ISI Web of Knowledge - 55 Citations

Scopus - 67 Citations

Other information

Authenticus ID: P-00K-5GG

DOI: 10.1049/ip-gtd:20040083

Abstract (EN): Present distribution network voltage design practice limits the distributed generation capacity that can be connected to 11 kV networks. It has been shown previously that adoption of a more active approach to network voltage control can significantly increase distributed generation capacity. One way to do this is to control the target voltage of automatic voltage control relays at primary substations. A basic design for a controller to do this has been created, comprising three algorithms. A statistical state estimation algorithm estimates the voltage magnitude at each network node supplied by the primary substation, using real-time measurements, network data and load data. The estimate accuracy depends on the number and placement of real-time measurements. Studies using an 11 kV feeder model showed that an acceptable accuracy could be obtained with one or two measurements. The state estimator uses pseudo measurements for unmeasured loads. A load model was constructed using load profiles to calculate the pseudo measurements. The calculated pseudo measurements were inaccurate, but it was found that acceptable state estimate accuracy could be obtained with inaccurate pseudo measurements. A control algorithm alters the AVC relay target voltage, based on the maximum and minimum node voltage magnitude estimates. A simulation on a four-feeder network showed that the algorithm enabled the generator power export to be more than doubled.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7