Centralized Volt–Var Optimization Strategy Considering Malicious Attack on Distributed Energy Resources Control
Author(s) -
Ankur Majumdar,
Yashodhan P. Agalgaonkar,
Bikash C. Pal,
Ralph Gottschalg
Publication year - 2017
Publication title -
ieee transactions on sustainable energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.771
H-Index - 120
eISSN - 1949-3037
pISSN - 1949-3029
DOI - 10.1109/tste.2017.2706965
Subject(s) - power, energy and industry applications , geoscience , computing and processing
The adoption of information and communication technology based centralized volt-var control (VVC) leads to an optimal operation of a distribution feeder. However, it also poses a challenge that an adversary can tamper with the metered data and, thus, can render the VVC action ineffective. Distribution system state estimation (DSSE) acts as a backbone of centralized VVC. Distributed energy resources (DER) injection measurements constitute leverage measurements from a DSSE point of view. This paper proposes two solutions as a volt-var optimization DSSE malicious attack mitigating strategy when the DER injection measurements are compromised. The first solution is based on local voltage regulation controller set-points. The other solution effectively employs historical data or forecast information. The concept is based on a cumulant-based probabilistic optimal power flow with the objective of minimizing the expectation of total power losses. The effectiveness of the approach is performed on the 95-bus U.K. generic distribution system and validated against Monte Carlo simulations.
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