Abstract:
power plants (SPVPPs) replacing conventional synchronous generators
(SGs). SPVPPs lack any rotating parts resulting in no natural rotational
inertia contribution to the grid. Reduced inertia makes the power system
more dynamic, making it susceptible to frequency instability caused by
minor disturbances. This problem is majorly addressed by limiting the
penetration of SPVPPs to ensure a minimum level of critical inertia is
maintained or by providing additional virtual inertia from an energy storage
system. However, the SPVPPs can be configured to operate below maximum
power point tracking (MPPT) (deloaded mode) to provide a reserve capacity
that can rapidly be deployed as fast frequency response (FFR) in case of a
frequency event. This paper presents a strategy to optimize the FFR capacity
of a deloaded SPVPP using particle swarm optimization (PSO) algorithm.
DIgSILENT PowerFactory was used to model the deloaded SPVPP and run
time domain simulations. PSO algorithm was implemented using a Python
script in PowerFactory. The proposed strategy was applied on a modified
IEEE 39 bus test system. The results show that optimal deloading of SPVPP
can help to successfully arrest frequency decline, reduce power curtailment
while adhering to the prescribed constraints.
This is an open access article under the CC BY-SA license.
