Abstract
With the fast expansion of the power grid and increasing complexity due
to modern equipment, power flow models with non-convexity and long
computing time are not suitable for network calculation and optimization
problems. Therefore, this paper proposes a linearized branch flow model
(LBF) considering line shunts (LBFS). The strength of LBF lies in its
linear mathematical structure, and hence the convex nature, which is
primarily achieved by regarding the apparent power flow as the branch
current magnitude. Moreover, the calculation accuracy in nodal voltage
magnitude is significantly improved by appropriately modeling line shunt
admittances and network equipment like transformers, shunt capacitors
and distributed generators (DG). We show the application scope of LBFS
by controlling the network voltages through a two-stage stochastic
optimization Volt/VAr control (VVC) problem considering DG output
uncertainty. Since LBFS results in a linear VVC program, the global
solution is guaranteed. Simulations show that VVC framework can
optimally dispatch the discrete control devices, viz. substation
transformers and shunt capacitors, and also optimize the decision rules
for real time reactive power control of DGs. Besides, the computing
efficiency is significantly improved compared to traditional VVC
methods.