Systems and methods for voltage stability monitoring in power systems are disclosed herein. In one embodiment, a method includes receiving data representing a set of system parameters of a power system having one or more power buses under a load condition. The method also includes estimating one or more sets of the system parameters under one or more additional load conditions based on the received data and topology information of the power system. The method further includes determining a voltage stability index for the power system based on both the received set of system parameters and the estimated one or more sets of the system parameters.

A power distribution system is dynamically and adaptively configured in real-time to improve energy efficiency, reliability and power quality, particularly if the system includes renewable sources and storages. An optimal multi-objective scheduling and partitioning method is provided to partition the system into self-sufficient sections (SSS) through optimally combination of adjacent basic switching sections (BSS). The SSSs enable system operating at a lower cost, with less power losses, more energy efficiency, improved power quality, and sufficient transient security. The method uses two storage based transient security indices, storage compensation power margin (SCPM) and storage compensation energy margin (SCEM) evaluate the transient stability margin of distribution system. A minimal stability margin is used to ensure that the system remains stable when subject to large unexpected load deviations.

We describe a modular adjustable power factor renewable energy inverter system. The system comprises a plurality of inverter modules having a switched capacitor across its ac power output, a power measurement system coupled to a communication interface, and a power factor controller to control switching of the capacitor. A system controller receives power data from each inverter module, sums the net level of ac power from each inverter, determines a number of said capacitors to switch based on the sum, and sends control data to an appropriate number of the inverter modules to switch the determined number of capacitors into/out of said parallel connection across their respective ac power outputs.

Apparatus and methods of processing large-scale data regarding an electrical power grid are described. According to one aspect, a method of processing large-scale data regarding an electrical power grid includes accessing a large-scale data set comprising information regarding an electrical power grid; processing data of the large-scale data set to identify a filter which is configured to remove erroneous data from the large-scale data set; using the filter, removing erroneous data from the large-scale data set; and after the removing, processing data of the large-scale data set to identify an event detector which is configured to identify events of interest in the large-scale data set.

Example implementations described herein are directed to detection of anomalous events and locations on the transmission power system using phasor management unit (PMU) data, which provides information to grid operators for online decision support. From the high-resolution time synchronized PMU data, the transient abnormal events can be monitored and locations can be disclosed to operators for remedy actions. Utilization of PMU information for such decision support compliments operation practices relying on supervisory control and data acquisition (SCADA) measurements at much lower data resolution. Accurate identification of event locations can further advise grid operators the root cause of disturbances and illuminate possible cascading failures. Implementations of the proposed technology may improve the resilience and reliability of the transmission power systems.

An example device includes a processor configured to receive a plurality of voltage measurements corresponding to nodes in a distribution network, and determine, for each respective node: a value of a first coefficient, based on a previous value of the first coefficient, a minimum voltage value for the node, and a voltage measurement that corresponds to the node, and a value of a second coefficient based on a previous value of the second coefficient, a maximum voltage value for the node, and the voltage measurement. The processor of the example device is also configured to cause an inverter-interfaced energy resource connected to the distribution network to modify its output power based on the value of the first coefficient for each node and the value of the second coefficient for each node.

A system includes a Synchrophasor Data Management System (SDMS), in which the SDMS includes a Synchrophasor Processor System (SPS). The SPS includes a Phasor Data Concentrator (PDC) configured to receive a first plurality of inputs from a first Phasor Measurement Unit (PMU), transform at least one of the first plurality of inputs into a first time aligned output by time aligning the at least one of the first plurality of inputs. The SPS further includes a virtual PMU configured to aggregate the first time aligned output into a PMU dataset, in which the SPS is configured to transmit the PMU dataset to a second PMU, an external PDC, a super PDC, or a combination thereof.

One embodiment describes a non-transitory tangible computer-readable medium storing a plurality of instructions executable by a processor of an electronic device in a wide area monitoring system. The instructions include instructions to receive a synchro-command from the wide area monitoring system via a network interface, in which the synchro-command is time synchronized with a global clock by a time stamp encoded on the synchro-command; accept or reject the synchro-command with an input handler based at least in part on a sender ID and a receiver ID encoded on the synchro-command; schedule execution of a control command encoded on the synchro-command with a synchro-command manager based at least in part on a scheduler time encoded on the synchro-command; and execute the control command encoded on the synchro-command with the processor based at least in part on an application ID encoded on the synchro-command.

Described are methods, devices and systems for communicating data measurements from a sampling device to a remote master device in a distributed power measurement system using high-speed isochronous data links. The sampling device receives a time-stamp packet from the master device over the isochronous data link, the time-stamp packet containing a sequence number of the time-stamp packet, and the sampling device starts a counter clocked by a local clock signal to determine an offset time since receipt of the time-stamp packet. The sampling device obtains power system data and generates and transmits framed output data to the remote master device over the isochronous data link. The framed output data includes the sequence number, the offset time, and a data payload that includes the power system data.

A sensory assembly system and method for monitoring power lines. The system comprises a plurality of sensory assemblies each connected to a phase of a power line, each comprising a sensory transceiver that broadcasts a signal comprising a digital representation of a voltage wave and a current wave on a single phase of a power line, and a common assembly comprising a common transceiver for receiving said signal, and a microprocessor for analyzing said signal, and a precision timing device for directing said common transceiver to send signals to each of said sensory assemblies synchronizing sensory assembly readings on a phase of a power line. The microprocessor analyzing timed signals synchronized for a plurality of phases by determining the net real time sum of the current of the plurality of phases to determine ground or neutral current and for determining instantaneous current and voltage between the plurality of phases.