A centralized-based method to determine the local voltage control strategies of distributed generator operation in active distribution networks

Journal Article · Mon Oct 01 04:00:00 EDT 2018 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2018.07.065· OSTI ID:1465655

Ji, Haoran; Wang, Chengshan; Li, Peng; Zhao, Jinli; Song, Guanyu; Ding, Fei; Wu, Jianzhong

The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The var capacity provided by DG inverters is a potential solution for voltage regulation. The conventional centralized control strategies limited by computation and communication burdens are difficult to meet the requirement of rapid voltage control. However, the local control strategies based on real-time measurements have a fast response to the frequent fluctuations of DG outputs. The performance of these local controllers depends on the tuning of the control parameters. This paper proposes a centralized-based method to determine the local voltage control strategies for DGs. A centralized parameter tuning model of control curves is built, in which and curves of DG inverters are mathematically formulated based on piecewise linearization. The original mixed-integer nonlinear programming (MINLP) model is converted into an effectively solved mixed-integer second-order cone programming (MISOCP) model using convex relaxation. The potential benefits of DG inverters are explored to regulate both reactive and curtailed active power, based on local voltage measurements. Case studies on a modified PG&E 69-node distribution system are carried out to verify the effectiveness of the proposed method. Results show that power losses of ADNs are significantly reduced and voltage profiles are also improved.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1465655
• Report Number(s): NREL/JA-5D00-72222
• Journal Information: Applied Energy, Journal Name: Applied Energy Journal Issue: C Vol. 228; ISSN 0306-2619
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
active power curtailment
distributed generator (DG)
local voltage control
mixed-integer second-order cone programming (MISOCP)
reactive power optimization