Abb Schweiz Ag

Abb Inc.

Ning Kang

Mirrasoul Mousavi

Xiaoming Feng

Gergely Gombos

The present application relates generally to Volt-VAR optimization for power distribution systems having advanced metering infrastructure (AMI). Distributed energy resources (DER) such as photovoltaic arrays are becoming prevalent in distribution systems. These DER systems inject power into the distribution system which can cause unfavorable changes, such as a rise in voltage across the feeder lines of the distribution system. Existing control proposals suffer from a number of shortcomings, drawbacks and disadvantages. In some instances, traditional controllers for distribution systems with DER systems may require information related to the arrangement of the distribution system which is unknown and cannot be provided by the advanced metering infrastructure. There remains a significant need for the apparatuses, methods, systems and techniques disclosed herein.

AMI based volt-VAR optimization using online model learning

Systems and methods for identifying faulted segment(s) in a multiphase power network may include receiving a current measurement that was measured during a fault, obtaining a set of equivalent sequence impedances for the segments, building a set of sequence bus impedance matrices, selecting a segment, calculating coefficients for the segment based on the set of equivalent sequence impedances for the segment and the sequence bus impedance matrices, calculating an estimated per unit fault distance for the segment based at least partially on the current measurement and the coefficients, identifying the segment as a potentially faulted segment if the estimated fault distance for the segment is between about zero and about one, and repeating for each of the segments the calculating coefficients, calculating an estimated per unit fault distance, and identifying as a potentially faulted segment if the estimated fault distance for the segment is between about zero and about one.

Systems and methods for identifying faulted segments in multiphase power networks

A highly accurate fault location method for series-compensated double-circuit transmission lines having series compensation devices and metal oxide varistors (SC&MOV) at first and second terminal ends is provided. Synchronized or unsynchronized current phasors and local voltage phasors are used as input to the fault location method. The voltages and currents at the fault point are formulated as a function of the unknown fault location. Boundary conditions for the particular IED-determined fault type are used to derive the fault location formulas.

Fault location method for series-compensated double-circuit transmission lines

Apparatuses, method and systems featuring model predictive voltage and VAR controls with coordination with and optional optimization of autonomous reactive power control such as autonomous distributed energy resource and/or autonomous switched capacitor banks One embodiment includes an electronic control system structured to construct a linearized model of the power distribution system including a plurality of predetermined nodes, operate a model predictive controller to identify optimized control commands using an objective function defined over a plurality of future scenarios over a look ahead time horizon and a plurality of constraints, and transmit the identified control commands to control operation of at least the voltage regulators and the switched capacitor banks.

Hierarchical robust model predictive voltage and VAR control with coordination and optimization of autonomous DER voltage control

A decision support system is provided for utility operations to assist with crew dispatch and restoration activities following the occurrence of a disturbance in a multiphase power distribution network, by providing a real-time visualization of possible location(s). The system covers faults that occur on fuse-protected laterals. The system uses real-time data from intelligent electronics devices coupled with other data sources such as static feeder maps to provide a complete picture of the disturbance event, guiding the utility crew to the most probable location(s). This information is provided in real-time, reducing restoration time and avoiding more costly and laborious fault location finding practices.

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Morrisville, NC, United States of America

Ning Kang