Monitoring Long Term Voltage Instability due to Distribution & Transmission Interaction using Unbalanced {\mu}PMU & PMU Measurements
Amarsagar Reddy Ramapuram Matavalam, Ankit Singhal, Venkataramana, Ajjarapu

TL;DR
This paper introduces unbalanced 3-phase voltage stability indicators and a transmission-distribution distinguishing index using {1}PMU measurements, enabling online, model-free identification of long-term voltage instability sources.
Contribution
It proposes novel unbalanced 31-based indices and a convex optimization method for real-time voltage stability assessment and source identification.
Findings
Validated indices through numerical simulations on IEEE test systems.
Demonstrated the effectiveness of {1}PMU measurements in identifying instability regions.
Showed the indices' capability to distinguish between transmission and distribution causes.
Abstract
This paper extends the idea of the Thevenin equivalent into unbalanced 3{\phi} circuits and proposes a 3{\phi} long-term voltage stability indicator (VSI), that can identify critical loads in a system. Furthermore, in order to identify whether the voltage stability limit is due to the transmission network or a distribution network, a transmission-distribution distinguishing index (TDDI) is proposed. The novelty in the proposed indices is that they can account for the unbalance in the lines and loads, enabling them to use unbalanced phasor measurements naturally. This is supported by mathematical derivations and numerical results. A convex optimization formulation to estimate the 3{\phi} Thevenin equivalent using PMU & {\mu}PMU measurements is proposed, making it possible to calculate VSI and TDDI in an online model-free manner. Numerical simulations performed using co-simulation between…
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