Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A decentralized voltage control strategy of soft open points in active distribution networks

Ji, Haoran, Yu, Hao, Song, Guanyu, Li, Peng, Wang, Chengshan and Wu, Jianzhong 2019. A decentralized voltage control strategy of soft open points in active distribution networks. Energy Procedia 159 , 412–417. 10.1016/j.egypro.2018.12.067

[img] PDF - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (742kB)

Abstract

With the integration of high shares of distributed generators (DGs), it is increasingly difficult to cope with the risk of voltage violations and puts forward a higher requirement for the operational flexibility in active distribution networks (ADNs). Soft open point (SOP) is a novel power electronic device which can realize accurate power flow control and continuous voltage regulation. Currently, the centralized control strategy is mainly used to operate SOPs. However, the heavy burden of communication and complex global optimization processing will hinder its fast response to the frequent voltage fluctuations. This paper proposes a decentralized voltage control strategy of SOPs in ADNs. Based on the results of network partition, the alternating direction method of multipliers (ADMM) algorithm is applied to realize the decentralized optimization of the transmission power of SOPs among connected areas. The near-global optimal solution can be obtained without the huge calculation burden. The potential benefits of SOPs are fully explored to reduce power losses and improve the voltage profile of ADNs. Finally, the effectiveness of the decentralized voltage control strategy of SOPs is validated on the PG&E 69-node distribution system.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 1876-6102
Date of First Compliant Deposit: 5 July 2019
Last Modified: 05 Jul 2019 14:00
URI: http://orca.cf.ac.uk/id/eprint/123807

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics