A downhole power supply and method for supplying downhole power are disclosed. In some embodiments a downhole power supply includes a source power supply including a supply cable coupled to an electric energy source. The downhole power supply further includes at least one downhole distribution network to which the supply cable is configured to couple the electric energy source. The at least one downhole distribution network includes, multiple load supplies providing regulated power levels to multiple downhole loads and a network controller configured to individually connect and disconnect each of the load supplies in response to a failure within the downhole distribution network.

An autonomous real-time remedial action scheme (RAS) control system may receive electrical measurements of a power system. The RAS control system may determine active power and reactive power of each bus in the power system based on the received electrical measurements. The RAS control system may dynamically determine whether to shed one or more loads, generators, or both in the power system by optimizing an objective function to maintain maximum critical load and maximum critical generation in the electrical system based on the active and reactive power of each bus in the power system and the generation of each generator in the power system. The RAS control system may send a command to trip at least one breaker to cause the at least one breaker to shed the one or more loads, generators, or both. The RAS control system may send a command to runback one or more generators.

Systems and methods may coordinate and execute bidirectional energy transfer events between electrified vehicles and other devices or structures. Weather related data and/or grid related data may be leveraged for predicting the likelihood of power outage conditions of a grid power source. When power outage conditions are likely, a charging storage limit of a traction battery pack of the electrified vehicle may be automatically increased. The increased charging storage limit temporarily increases the energy storage capacity of the traction battery pack in anticipation of expected power outage conditions, thereby better preparing the traction battery pack for use as a backup power source during the power outage conditions.

A method and system are provided for anomaly detection in energy systems. Non-contact sensing of an energy system based on electric and magnetic fields uses non-contact electric- and magnetic-field sensors to produce electric- and magnetic-field signals. The electric and magnetic field signals are filtered to remove noise. Features are extracted and normalized from the magnetic and electric field signals to characterize parameters of each signal. Density-based spatial clustering of extracted features is performed using a selected minimum number of points required to form a cluster and a parameter indicating the distance within which data are considered to fall within the cluster. An anomaly is determined from data point(s) that do not fall within the cluster formed by data points in normal operation. The density-based spatial clustering of extracted features may be performed using a Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm. Features may be extracted using Fourier analysis.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for predicting connections in electric grid models are disclosed. A method includes obtaining geospatial data representing a geographic area that includes an electrical distribution system; and generating, from the geospatial data, asset data that represents characteristics of electrical distribution system assets. The asset data includes: load data representing electrical loads of the electrical distribution system; and node data representing nodes of the electrical distribution system. The method includes processing the asset data using a connection model that is configured to predict electrical connections between assets of the electrical distribution system; and obtaining, from the connection model; output data indicating predicted electrical connections between assets of the electrical distribution system. The geospatial data includes at least one of overhead imagery or street level imagery of the geographic area.

In one aspect, a method to determine a capacity of a microgrid includes applying a current test load to the microgrid and measuring a current through an energy storage device, the current indicating a charging status of the energy storage device based on a current load being applied to the microgrid through activated power outlets being served by the microgrid and the current test load, the energy storage device being integrated with the microgrid. The method also includes, responsive to a determination that the measured current based on the current load being applied to the microgrid and the current test load indicates that the energy storage device is discharging, determining the capacity of the microgrid, wherein the capacity is the current load being applied to the microgrid through activated power outlets and a test load applied to the microgrid immediately preceding the current test load.

The present disclosure describes systems and techniques that enhance effectiveness and efficiency of a contingency analysis tool that is used for studying the magnitude and likelihood of extreme contingencies and potential cascading events across a power system. The described systems and techniques include deploying the contingency analysis tool in a high-performance computing (HPC) environment and incorporating visual situational awareness approaches to allow power system engineers to quickly and efficiently evaluate multiple power system simulation models. Furthermore, the described systems and techniques include the power system contingency-analysis tool calculating and coordinating protection element settings, as well as assessing controls of the power system using small-signal nomograms, allowing power system engineers to more effectively comprehend, evaluate, and analyze causes and effects of cascading events against a topology of a power system.

Systems and methods for boosting resiliency of a power distribution network (PDN) are provided. A distributed energy resource (DER) hosting process can be used to boost network resiliency through the use of locally installed DER systems that can be operated, dispatched, and/or controlled as individual power plants. A unique critical infrastructure (CI) ranking scheme can be used to prioritize CIs to be optimally located close to the DER while increasing the DER hosting capacity of the network.

A system for monitoring and analyzing electrical operating parameters of a load (10) in a electric network (20), said system comprising a smart socket (110) arranged to be placed in series between the load (10) and the electric network (20), said smart socket (110) comprising a voltage detection module arranged to measure a voltage value in the electric network (20), as an electric potential difference between the ends of the load (10), a current detection module in the electric network (20) arranged to measure a current value adsorbed by the load (10), when the load (10) is connected to the electric network (20), a control unit connected to the voltage detection module and to the current detection module. In particular, the control unit is arranged to carry out a periodic acquisition of the voltage value in said electric network (20), obtaining a voltage trend over time and a periodic acquisition of the current value adsorbed by the load (10), obtaining a current trend over time. In particular, the control unit comprises a neural network arranged to carry out a training comprising the steps of definition of a number n of events E.sub.i′ association, to each event E.sub.i′ of a number m.sub.i of patterns p.sub.ij of predetermined current and/or voltage trends, extrapolation of characteristic parameters c.sub.ik distinguishing the pattern p.sub.ij associated with the classified event E.sub.i′. The neural network is then arranged to carry out an analysis of the acquired voltage and/or current trend by the definition and the classification of possible anomalous patterns with respect to predetermined voltage and/or current trends.

A method and a device for improving current transmission reliability are provided. The method includes: selecting effective points; performing technical measurement; generating a threshold: generating a critical abnormal alarm time threshold t.sub.1, generating a critical defect alarm time threshold t.sub.2, and generating a non-critical abnormal electric leakage threshold t.sub.3; and generating a necessary remaining life number Δt.sub.21, wherein Δt.sub.21=t.sub.2−t.sub.1. By judging whether a current carrying capacity passing through an electric transmission line portion at a certain time exceeds an allowable current carrying capacity, the alarm time threshold t.sub.1 is far lower than 20%, an alarm is capable of being given for an abnormal situation in time, and a necessary remaining life of an electric device or system can be predicted by randomly measuring an input current I.sub.in i, an output current I.sub.out i, and errors of input and output currents, so that cross liability is avoided.