Voltage instability is gaining importance because of unusual growth in power system. Reactive power limit of power system is one of the reasons for voltage instability. Preventing Voltage Collapsesare one of the challenging tasks present worldwide.This paper presents static methods like Modal Analysis, Two Bus Thevenin Equivalent and Continuation Power Flow methods to predict the voltage collap...

Paper describes start-up of Croatian Academic Research Wide Area Monitoring System (CARWAMS), which is intended to support involvement of small R&D teams into fast developing synchronized measurement technology (SMT). Low voltage synchrophasors are collected by platform called WAMSTER, including handheld Phasor Measurement Units (PMUs) and GPRS data transfer to a dedicated served. Measurements ...

The phenomenal growth of power system network both in terms of geographical sprawl as well as technological advancements, it requires tools for dealing with the system, wide disturbances that often cause widespread catastrophic blackouts in power system networks. When a major disturbance occurs, protection and control measures play the most important role to prevent further degradation of the s...

In this paper we propose two algorithms to identify the equivalent topology of reduced-order models of power systems using measurements of phase angles and frequencies available from Phasor Measurement Units (PMUs). We first show that the topology identification problem can be posed as a parameter estimation problem. Thereafter, we extract the slow oscillatory component of the PMU measurements ...

The Eastern Interconnection Phasor Projects (EIPP) is a Department of Energy (DOE) and Consortium for Electric Reliability Technology Solutions (CERTS) initiative to deliver immediate value of phasor technology to the Eastern Interconnection (EI) participants. With the current EI phasor network comprising of approximately 25 Phasor Measurement Units (PMU) and 5 Phasor Data Concentrators (PDC) i...

ue to the expansion of power systems there is a challenge of real time monitoring and control by placing important parameters at various points for efficient functioning of the power system. There can be drastic changes during hourly load fluctuations, component outages, or network switching. In such conditions, the inclusion of predicted values could degrade the power system state estimation h...

State estimation is an important tool for power system supervision and control and the related applications. Based on the redundant measurements taken in the network, state estimation provides the most likely state of the power system. Conventional measurements were collected by the SCADA system and the measurement chain did not allow measurement synchronization. A disadvantage is that due to t...

With the increasing penetration of converter-based renewable resources, different types dynamics have been introduced to power system. Due complexity and high order modern system, mathematical model-based inertia estimation method becomes more difficult. This paper proposes two novel machine learning assisted methods based on long-recurrent convolutional neural (LRCN) network graph (GCN) respec...