Distributionally Robust Decentralized Volt-Var Control with Network Reconfiguration

This paper presents a decentralized volt-var control (VVC) and network reconfiguration strategy to address the challenges arising from the growing integration of distributed energy resources, particularly photovoltaic (PV) generation units, in active distribution networks. To reconcile control measu...

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Bibliographic Details
Published inarXiv.org
Main Authors Byeon, Geunyeong, Kim, Kibaek
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 04.09.2023
Subjects
Algorithms
Control centres
Decisions
Energy sources
Optimization
Photovoltaic cells
Reconfiguration
Robust control
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Summary:This paper presents a decentralized volt-var control (VVC) and network reconfiguration strategy to address the challenges arising from the growing integration of distributed energy resources, particularly photovoltaic (PV) generation units, in active distribution networks. To reconcile control measures with different time resolutions and empower local control centers to handle intermittency locally, the proposed approach leverages a two-stage distributionally robust optimization; decisions on slow-responding control measures and set points that link neighboring subnetworks are made in advance while considering all plausible distributions of uncertain PV outputs. We present a decomposition algorithm with an acceleration scheme for solving the proposed model. Numerical experiments on the IEEE 123 bus distribution system are given to demonstrate its outstanding out-of-sample performance and computational efficiency, which suggests that the proposed method can effectively localize uncertainty via risk-informed proactive timely decisions.
ISSN:2331-8422