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Distributed DC optimal power flow (DC-OPF) is vulnerable to malicious cyber attacks due to the absence of a control center. In our previous work, we demonstrated a data integrity attack can manipulate the power dispatch result of distributed DC-OPF by compromising the distributed controller on a bus and modifying the information being sent to the neighboring buses. This vulnerability, in turn, could...
The internet of things (IoT) is an attractive networking paradigm with machine-to-machine communication. Several distributed approaches have been proposed to solve the DC optimal power flow (DC-OPF) problem in the IoT environment. The nature of distributed computation provides scalability, robustness and privacy protection, while it also poses more vulnerabilities to unexpected cyber faults and adversaries...
A variety of distributed energy management algorithms are being developed for DC optimal power flow (DCOPF) application owing to their flexibility and scalability in the presence of high distributed Energy Resources (DERs) penetration. However, these algorithms are vulnerable to malicious cyber attacks due to the absence of control centers. In this paper, we study and analyze the economic impact of...
Economically dispatching the generation is essential to the efficient operations of a power system. As an approximation to the nonconvex AC optimal power flow (ACOPF) problem, the convex DC optimal power flow (DCOPF) problem is used in many studies. In this paper, the DCOPF with transmission line losses (DCOPFL) is formulated to better approximate the ACOPF problem. A Cooperative Distributed Optimal...
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