Systems and apparatuses include a circuit structured to: identify a first source object, a second source object, and a load bus object; determine locations of the first source object, the second source object, and the load bus object on a one-line topology; receive operational parameters of the first source object, the second source object, and the load bus object; define, using the one-line topology, a first route including objects electrically connected between the first source object and the load bus object; define, using the one-line topology, a second route including all objects electrically connected between the second source object and the load bus object; and control operation of the first route and the second route.

Systems and apparatuses include a non-transitory computer readable media having computer-executable instructions embodied therein that, when executed by a circuit of a power system, causes the power system to perform functions to activate and deactivate routes. The functions include determining a plurality of source objects, each including source functions and being assigned a position on a one-line topology; determining one or more switch objects, each including switch functions and being assigned a position on the one-line topology; determining one or more bus objects, each including bus functions and being assigned a position on the one-line topology; determining one or more load objects, each including load functions and being assigned a position on the one-line topology; and allocating each object to one of a plurality of controllers, each of the controllers structured to cooperatively perform the source functions, the switch functions, the bus functions, and the load functions to provide operation of the system.

Apparatus and associated methods relate to automatically load matching, in time, energy physically generated and transmitted to a consumption location across at least one tracking and processing infrastructure. In an illustrative example, a load pool (LP) may be created based on energy consumed at a physical location at one or more selected time periods. A generation pool (GP) may, for example, be created based on energy generated and physically available for consumption at the physical location during the time periods. Associations may be created, for example, between measurements in the GP of energy generated and transmitted and measurements in the LP of energy consumed. The associations may be created as a function of predetermined privileges associated with the consumption location and generation locations and/or physical transmission links corresponding to the GP during the time periods. Various embodiments may advantageously determine environmental impact based on location and time-based load matching.

A power distribution arrangement for distributing AC power to loads requiring AC power is disclosed. The power distribution arrangement comprises a power distribution substation comprising transformers, switches, buses, and feeders, a DC transmission line, and at least one control unit. The control unit may control operation of the switches to selectively connect or disconnect one or more feeders to or from at least one transformer via one or more buses and to selectively connect or disconnect the DC transmission line to or from one or more feeders via at least one bus, whereby AC power is distributed to the loads via the feeders. The control unit may control operation of the switches based on: loading in and a power transfer rating of respective feeders and transformers, and any power transfer via the DC transmission line from the other power distribution substation to the at least one bus.

Systems and methods for determining a location of an event in an electric power delivery system using a machine learning engine are provided. The machine learning engine may be trained based on a topology of the electric power delivery system, where the topology may be a layout of line sections and corresponding sensors of the electric power delivery system. Based on the topology, one or more training matrices that indicate possible event locations may be generated. In turn, the machine learning engine may be trained using the training matrices and logistic regression models to determine locations of events that occur during operation of the electric power delivery system.

An example system includes an aggregator configured to receive a service collaboration request and iteratively determine, based on minimum and maximum power values for DERs under its management, an optimized operation schedule. The aggregator may also be configured to iteratively determine, based on the optimized operation schedule, an estimated flexibility range for devices under its management and output an indication thereof. The system may also include a power management unit (PMU) configured to iteratively receive the indication and determine, based on a network model that includes the estimated flexibility range, a reconfiguration plan and an overall optimized operation schedule for the network. The PMU may also be configured to iteratively cause reconfiguration of the network based on the plan. The PMU and aggregator may also be configured to iteratively, at a fast timescale, cause energy resources under their management to modify operation based on the overall optimized operation schedule.

Disclosed herein are systems and methods to perform hybridized transmission switching of an electric power system to avoid exceeding line ratings and minimize load shedding.

A power supply apparatus is coupled to an AC power source, a critical load, and a general load. The power supply apparatus includes a UPS, a generator system, a power conversion system, and a controller. The power conversion system includes a first power conversion path and a second power conversion path. The first power conversion path is connected to the critical load and an output side, and the second power conversion path is connected to the general load and an input side. The first power conversion path and the second power conversion path are jointly connected to a DC bus. When the controller determines that the AC power source is abnormal, the controller controls disconnecting the AC power source, and activates the UPS to supply power to the critical load so as to enable the first power conversion path and disable the second power conversion path.

The present invention discloses a method and device for formulating a coordinated action strategy of SSTS and DVR for voltage sag mitigation. The influence of voltage sag on a whole industrial process of a sensitive user is analyzed, and the sensitive loads of SSTS and DVR which satisfy a governance need are grouped; a practical governance scenario of installing a plurality of DVR is considered to install a minimum-capacity DVR to realize a target of a minimum interruption probability of the whole industrial process of the user; an optimal coordinated governance solution of SSTS and DVR based on sensitive load grouping is proposed; a classification result is obtained for duration time at a time when a voltage sag event occurs through a decision tree constructed based on historical data.

An assembly or adapter configured to provide a supply-side interconnect of electrical power to a distribution board. The adapter may be incorporated internal or external to the distribution board, by occupying the space of one or more circuit breakers, inserting an adapter into a meter termination socket, or the like. The adapter includes terminals provided to route the conductors from the utility to a breakout panel (or subpanel) for adding power devices as a supply side interconnect, and back to a regular route that may go through the meter and/or the main circuit breaker, and on to the loads. A switching component may provide an inline configuration that configures the conductors for backup function, and a parallel configuration that is a parallel interconnecting route when utility service is available.