A device includes an input converter, an output converter, and a controller. The input converter is electrically coupled to an electrical meter and an energy production array. The output converter is electrically coupled to the energy production array and a load. The controller is communicatively coupled to the input converter, the output converter, the energy production array, and the load. The input converter and the output converter are positioned between the electrical meter and the load.

A computer-implemented method for providing an estimated utility expenditure to a user may include: obtaining, via one or more processors, historical transactional data of one or more customers other than the user from one or more transactional entities, wherein the historical transactional data includes: at least one address of a given customer of the one or more customers; and a historical utility expenditure associated with the at least one address; generating, via the one or more processors, a heatmap based on the historical transactional data of the one or more customers via one or more algorithms, wherein the heatmap is indicative of at least the estimated utility expenditure associated with the at least one address during a predetermined period; and causing a display of a user device associated with the user to demonstrate the heatmap.

A power grid monitoring system for determining a cause of a lateral trouble ticket. The power grid monitoring system can determine a cause of a lateral trouble ticket in response to receiving the lateral trouble ticket. The power grid monitoring system associates a set of smart meters with a first, penultimate and last transformer downstream from a given lateral. The power grid monitoring system pings each smart meter in the set of smart meters to indicate a state of the first, penultimate and last transformers of the given lateral. Accordingly, the power monitoring system determines a cause of a lateral trouble ticket associated with the given lateral based on results of the pings to the set of smart meters associated with the first, last and penultimate transformers. The power grid monitoring system can further augment the lateral trouble ticket with information characterizing the cause of the lateral trouble ticket.

Systems and methods for financial settlement of transactions within an electric power grid network are disclosed. A multiplicity of active grid elements are constructed and configured for electric connection and network-based communication over a blockchain-based platform. The multiplicity of active grid elements are operable to make peer-to-peer transactions based on their participation within the electric power grid by generating and executing a digital contract. The multiplicity of active grid elements generate messages autonomously and/or automatically within a predetermined time interval. The messages comprise energy related data and settlement related data. The energy related data of the multiplicity of active grid elements are based on measurement and verification. The energy related data and the settlement related data are validated and recorded on a distributed ledger with a time stamp and a geodetic reference.

A method/system is provided for estimating distribution system conditions in a low-voltage network having local nodes, the local nodes including distributed energy resources. The method includes: acquiring periodic measurements of periodic node voltages and/or branch currents from nodes, the measurements acquired with fixed time intervals; acquiring event-driven measurements of event-driven data based on node voltages and/or branch currents from the energy resources and/or other event-driven data sources, the measurements acquired when a power operating point and/or other measured quantity changes exceed a predefined threshold; in a primary process, executing a distribution system state estimation based on a data set including the periodic measurements; in a secondary process, estimating impacts on the node voltages and/or branch currents in local nodes based on the event-driven measurements; wherein the estimated impacts on node voltages and/or branch currents in local nodes from the secondary process update the data set in the primary process.

Provided are energy device control systems for distributed grid subsystem that control a first power demand of a plurality of appliances. The control system comprises a graphical user interface configured to accept a user input indicative of a first demand and dynamic allocation flexibility associated with the a respective energy device; a communication interface configured to aggregate dynamic allocation values from a plurality of system nodes including at least the user input indicative of a first demand and the dynamic allocation flexibility; and at least one processor programmed to: generate a learning model for evaluating dynamic future allocation with future energy execution prediction, wherein the dynamic future allocation includes at least energy operational information based on a categorization of energy usage at a plurality of respective energy devices; and trigger energy generation on the energy grid at respective generator nodes according to the learning model and dynamic projections.

The invention is directed towards a modular energy storage system for receiving power from a source, storing energy within a storage module, and delivering power to a load. The system includes a master unit containing the storage module for storing energy, and an inverter for receiving AC power and converting to DC power for storage. The system may also include at least one slave unit containing additional storage modules to increase energy storage capacity.

Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.

Systems, methods and apparatus for electric power grid management and communications are disclosed. At least one active grid element is constructed and configured in network-based communication with a server via at least one coordinator. The at least one active grid element communicates Internet Protocol (IP)-based messages with the server via the at least one coordinator in real time or less than 15 minutes interval. The at least one active grid element participates actively in an electric power grid. The at least one active grid element has an energy consumption pattern or an energy supply pattern. The IP-based messages comprise at least one IP packet including a content, a priority, a security, and a transport route. The content comprises an amount of power available for the electric power grid or an amount of curtailment power available at an attachment point of the at least one grid element.

Described herein are methods and systems for estimating an originating location of a power quality event in an electrical grid. Each of a plurality of sensor devices connected to the electrical grid detects an input signal generated by electrical activity on the electrical grid, generates an output signal based upon the detected input signal, and transmits power quality data to a computing device via a communications network, where the power quality data is based upon the output signal. The computing device is configured to analyze the power quality data from at least a subset of the sensor devices to determine a power quality event occurring in the electrical grid, estimate an originating location of the power quality event based upon the power quality data, and transmit a notification to one or more remote computing devices based upon the estimated originating location of the power quality event.