According to an embodiment, management server includes estimator, scheduler, acquisition unit, monitoring unit, receiver and setting unit. Estimator calculates estimated value of energy demand in building with electric appliance. Scheduler creates schedule of appliance based on estimated value. Acquisition unit acquires actual value of energy demand. Monitoring unit monitors error between estimated value and actual value. Receiver receives DR signal containing information which prompts suppression of energy consumption in a designated period. Setting unit sets threshold. Estimator recalculates estimated value if error is equal or more than threshold. Scheduler reforms schedule based on the recalculated estimated value.

A storage system configured for use with an energy management system is provided and includes a single-phase AC coupled battery or a three-phase AC coupled battery, a plurality of microinverters that are configured to connect to one or more battery cells that form a local grid, a controller configured to detect when to charge or discharge the single-phase AC coupled battery or the three-phase AC coupled battery so that energy can be stored therein when energy is abundant and used when energy is scarce, an estimator tool for storage system sizing and photovoltaic sizing, and at least one of a configurable single-phase AC coupled battery and three-phase AC coupled battery profiles to optimize at least one of self-consumption or time-of-use or troubleshooting capabilities to identify and fix issues with the energy management system.

A system includes a central analysis station and a display. The central analysis station may be configured to receive a unique identifier and performance data from each of a plurality of solar panels. The central analysis station may detect a problem in at least one of the plurality of solar panels based on the performance data. A display may be configured to display a status of the at least one of the plurality of solar panels based on the detected problem.

A load control system for controlling the amount of power delivered from an AC power source to a plurality of electrical load includes a plurality of independent units responsive to a broadcast controller. Each independent unit includes at least one commander and at least one energy controller for controlling at least one of the electrical loads in response to a control signal received from the commander. The independent units are configured and operate independent of each other. The broadcast controller transmits wireless signals to the energy controllers of the independent units. The energy controllers do not respond to control signals received from the commanders of other independent units, but the energy controllers of both independent units respond to the wireless signals transmitted by broadcast controller. The energy controller may operate in different operating modes in response to the wireless signals transmitted by the broadcast controller.

Devices and methods for monitoring and determining alternating current (AC) power system parameters are provided. In some implementations, the device can include a processor; and at least one non-transitory computer-readable medium storing computer-executable instructions for implementing a number of components. The components include a monitor configured to: sense an AC line voltage signal and an AC current voltage signal; filter the AC line voltage signal; calculate average AC line voltage and current values based, at least, on a DC voltage and current values corresponding to the AC line voltage and current signals, respectively; determine fundamental AC line voltage and current signals based, at least, on zero crossings of the respective average AC line voltage value and the average AC line current value; and determine one or more AC power system parameters based, at least, on the fundamental AC line voltage signal and the fundamental AC line current signal.

An example battery charging system utilizes demand response management to reduce energy consumption during times of high demand. The system includes a plurality of battery chargers and a charge controller in communication with the plurality of battery chargers. The charge controller may be configured to receive, from each of the plurality of battery chargers, a respective state of charge of a battery coupled to the battery charger, receive data indicative of a demand on a power source that provides power to the plurality of battery chargers, calculate a charge reduction quantity for one or more of the battery chargers according to the demand data, the states of charge of the batteries, and/or the prioritizations of batteries to meet operational needs, and transmit the charge reduction quantities to the one or more battery chargers.

A wireless control device includes a power source, one or more sensors, one or more switches, a wireless transceiver circuit, an antenna connected to the wireless transceiver circuit, and a processor communicably coupled to the power source, the one or more sensors, the one or more switches, and the wireless transceiver circuit. The processor receives a data from the one or more sensors or the one or more switches, determines a pre-defined action associated with the data that identifies one or more external devices and one or more tasks, and transmits one or more control signals via the wireless transceiver circuit and the antenna that instruct the identified external device(s) to perform the identified task(s).

A smart grid for improving the management of a power utility grid is provided. The smart grid as presently disclosed includes using sensors in various portions of the power utility grid, using communications and computing technology to upgrade an electric power grid so that it can operate more efficiently and reliably and support additional services to consumers. The smart grid may include distributed intelligence in the power utility grid (separate from the control center intelligence) including devices that generate data in different sections of the grid, analyze the generated data, and automatically modify the operation of a section of the power grid. Further, the intelligent devices in the power utility grid may cooperate together to analyze and/or control the state of the power grid. Finally, the distributed intelligence may further include distributed storage.

A method and system for regulating power consumption on an electric power grid is disclosed. Blockchain miners are used as a load bank that can be modulated quickly to accommodate spikes or dips in power generated from wind and solar power producers. The cryptocurrency generated by the blockchain miners allows electric grid owners to recoup the costs of higher overall power production, and accommodates fluctuations that are characteristic of wind and solar power generation devices because the fluctuations from wind and solar devices can be matched by modulating the computational speed of the blockchain miners in equal amounts, thus matching the overall demand and production of the power on the electric grid.

A monitoring system for remotely monitoring a state of pole-mounted equipment in a power distribution or transmission grid is provided. The pole-mounted equipment includes an indicator device configured to present state information indicative of a state of the pole-mounted equipment. The monitoring system includes a status monitoring device movable via a drive or propulsion system. The status monitoring device is configured to obtain the state information from the indicator device when located within a communication range of the indicator device.