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

Local voltage control strategy of active distribution network with PV reactive power optimization

Zhao, Jinli, Li, Yuwei, Li, Peng, Wang, Chengshan, Ji, Haoran, Ge, Lukun and Song, Yi 2017. Local voltage control strategy of active distribution network with PV reactive power optimization. Presented at: 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, 16-20 July 2017. 2017 IEEE Power & Energy Society General Meeting. IEEE, 10.1109/PESGM.2017.8274386

Full text not available from this repository.

Abstract

The increasing penetration of photovoltaics (PVs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The centralized control limited by the computational and communicational burdens is difficult to meet the requirement of fast voltage and reactive power control. Local voltage control based on the real-time measurements has a fast response to the frequent PV fluctuations. In this paper, a local voltage control strategy of ADNs is proposed, in which the local Q-V control curve is defined as piecewise linear functions. PV inverters equipped with Q-V control curve react to the local voltage measurement to adjust reactive power compensation. A parameters optimization model of local control curve is also built to improve the system voltage profile. By applying the linearization, the original nonconvex mixed-integer nonlinear programming (MINLP) model is converted into an effectively solved mixed-integer linear programming (MILP) model. Case studies on the IEEE 69-node system are conducted to verify the effectiveness of the proposed control strategy.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: IEEE
ISBN: 9781538622131
Last Modified: 19 Oct 2019 03:15
URI: https://orca.cardiff.ac.uk/id/eprint/120412

Citation Data

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item