Abstract:
The fast-paced and meaningful penetration of distributed energy resources (DERs), such
as variable renewable energy sources (RESs), concurrently with the widespread occurrence of
natural disasters and man-made threats, has raised several challenges for the modern bulk power
systems (BPSs) status quo. Although the DERs are demanding new solutions to ensure adequate
stability and security levels, these resources enable significant opportunities to improve
multiple BPS perspectives. In this view, seeking to capitalize on these novel features, while
aware of the significant changes to BPS outlook, this thesis is focused on developing new
methods able to capitalize on modern monitoring infrastructures, DERs and control areas
opportunities toward the improvement of BPS operation and stability.
Specifically, the thesis focuses on: 1) First, a novel method for the improvement of the
static security region (SSR) is proposed based on a new network partitioning algorithm. The
proposed algorithm focuses on modern BPS with high penetration of variable RES generation.
It divides the BPS into coherence areas according to its criticality mapping, and consequently,
areas are adaptively associated with SSRs generators groups. To this end, each bus is assigned
a criticality index from the potential energy function, whereas this calculation is based on the
data of the wide-area measurement system (WAMS) using phasor measurement unit (PMU);
2) Second, a novel area-based sensitivity index for voltage stability support is proposed,
exploring both the network-wide sensitivity and the local characteristics of voltage collapse.
The developed index focuses on the determination of the most effective buses for voltage
support and their respective capability of increasing the system’s load margin. For this, a novel
area-based outlook is developed taking advantage of the new possibilities enabled by BPS
distributed controllable resources, such as flexible resources (FRs).