An Interior-Point Solver for Optimal Power Flow Problem Considering
Distributed FACTS Devices
Abstract
In this paper, we propose an AC optimal power flow (ACOPF) model
considering distributed flexible AC transmission system (D-FACTS)
devices, in which the reactance of D-FACTS equipped lines are introduced
as decision variables. This is motivated by increasing interests in
using D-FACTS devices to address system operational and cyber-security
concerns. First, D-FACTS devices can be incorporated in real-time
operations for economic benefits such as managing power congestions and
reducing system losses. Second, D-FACTS devices can be utilized by
moving target defense (MTD), an emerging concept against cyber-attacks,
to prevent attackers from knowing true system configurations. Therefore,
system operators can use the proposed ACOPF model to achieve economic
benefits and provide the setpoints of D-FACTS devices for MTD at the
same time. In addition, we rigorously derive the gradient and Hessian
matrices of the objective function and constraints, which are further
used to build an interior-point solver of the proposed ACOPF. Numerical
results on the IEEE 118-bus transmission system show the validity of the
proposed ACOPF model as well as the efficacy of the interior-point
solver in minimizing system losses and generation costs.