Tools and techniques are described to automate commissioning of physical spaces. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. Controllers also have access to databases of the physical space such that they can check that sensors in the space record the correct information for device activity, and sensors can cross-check each other for consistency. Once a physical space is commissioned, incentives can be sought based on commissioning results.

A method for determining a physical model of an energy installation from a plurality of components linked together according to one or more constraints to form a tree, called tree of constraints, each component including one or more output ports, each output port being associated with a physical quantity of which the value depends on one or more variables internal to the component and/or on one or more variables external to the component, each external variable being communicated to the component through an input port. A second aspect relates to a method for controlling an electrical installation including a first phase of determining a physical model of the installation using the described method; and a second control phase during which each set point is determined as a function of a simulation carried out using the physical model obtained during the phase of determining a physical model of the energy installation.

A method for determining a converter Thevenin equivalent model for a converter system, includes: receiving measurement values of a coupling point voltage and a coupling point current measured at a point of common coupling between a grid emulator system and the converter system, wherein the grid emulator system supplies the converter system with a supply voltage; and determining a converter Thevenin impedance and a converter Thevenin voltage source of the converter Thevenin equivalent model by inputting the measurement values of the coupling point voltage and of the coupling point current into a coupled system model, which includes equations modelling the converter system and the grid emulator system and from which the converter Thevenin impedance and a converter Thevenin voltage source are calculated.

A computer implemented method of defining a deployment specification for one or more infrastructure components as part of a transmission network for a utility service in a defined geographic region, the region having associated environmental characteristics identifying environmental features of the region, and the region including a plurality of locations each having associated location characteristics. The method including identifying features of the location, the method comprising: for each location and for one or more types of infrastructure component components, each type having associated infrastructure characteristics identifying features of an infrastructure component of the type, executing a classifier based on each of one or more of the infrastructure characteristics, the location characteristics, and the environmental characteristics to forecast a measure of susceptibility of infrastructure deployed at the location to one or more operational impediments of the infrastructure in use, the classifier being executed based on each of one or more of the infrastructure characteristics, the location characteristics for the location and the environmental characteristics; and selecting one or more locations in the region based on the forecast susceptibilities to trigger deployment of infrastructure components at the selected locations.

Tools and techniques are described to automate line testing when wiring devices (such as equipment and sensors) to controllers. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. After testing, a reporting device rapidly shows the results of the line testing.

An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes a system configured to perform automated and coordinated governance of a set of energy entities that are operationally coupled within an energy grid and a set of distributed edge energy resources. At least one of the distributed edge energy resources is operationally independent of the energy grid.

A method for generating a model of an electric power network comprises receiving a description of an electric power network, the electric power network including a plurality of interconnected nodes; selecting a plurality of electric power network branches of focus from the description of the electric power network; generating a plurality of electric power network operating conditions of interest; updating the electric power network branches of focus to include data regarding critical operating conditions of interest; clustering nodes of the electric power network to form a plurality of super nodes; generating a reduced electric power network topology that includes the super nodes; generating a plurality of reduced electric power network electrical parameters; and outputting an electric power network model that includes the reduced electric power network topology and the reduced electric power network electrical parameters.

A Multi-Phase Simulation Environment (“MPSE”) is provided which simulates the conductor current and voltage or electric field of multiple phases of an electrical power distribution network to one or more sensing or measuring devices and includes independent control of wireless network connectivity for each sensing or measuring device, independent control of GPS RF to each device, and interface to a back-end analytics and management system.

A method for modeling a network topology of a subarea of a low-voltage network, wherein the network topology of the subarea of the low-voltage network is dynamically changeable by switching on, over and/or off components and/or by adding or removing components, where the network topology is modeled as a graph with nodes and edges, states valid for all edges of the graph at an initialization time are determined and assigned to the edges as the respective first state instance, with each subsequent change to the network topology, the respective current states valid for the respective edge from a time of the change to the network topology are determined for the edges of the graph, and each edge of the graph is assigned the respective state determined and currently valid from the time of the respective change to the network topology as a respective further state instance together with a timestamp.

The purpose of the present disclosure is to make it possible to determine owners of cables from a positional relationship between the cables in an off-site equipment model acquired through a mobile mapping system (MMS). The present disclosure acquires cable models serving as solid models of cables extracted from three-dimensional point group data (S11), identifies a positional relationship of the cables from the cable models and determines owners of the cables from the positional relationship in accordance with a determination table defining a vertical relationship of the cables (S22), links information of the owners determined to the solid models, and creates a line diagram by using the cable models to which the information of the owners is linked.