An energy system includes an electric device that consumes electric power, a plurality of storage batteries that supplies stored electric power to the electric device, each of the storage batteries being chargeable and dischargeable under the control of an external device, and an information processor that divides the plurality of storage batteries into families which includes the storage batteries having similar charging and discharging characteristics, and that controls the timings to charge and discharge the storage batteries in the family.

A direct current power system. The direct current power system includes a direct current bus system, a solar power system, an energy storage system and a wind power system. The solar power system is configured to supply a first direct current power. The energy storage system has an input electrically coupled to the solar power system and is configured to supply a second direct current power at 380 volts to the direct current bus system. The wind power system includes is electrically coupled to the energy storage system and is configured to supply a third direct current power.

An architecture with at least one PV linear installation with a DC network and in interconnecting this subassembly, at at least two distinct interconnection points, with a preferably existing AC electricity network. Each interconnection point to a node of the AC network is a voltage source converter VSC that is able to inject from 0 to 100% of the maximum power P of the PV linear installations.

A system and method for controlling power flow in a hybrid power system includes a controller in communication with the hybrid power system. The controller is also in communication with at least one knowledge system to receive information related to power generation or power consumption within the hybrid power system. The controller generates a control command for each of the power converters in the hybrid power system and maintains a log of power flow to and from each device in the hybrid power system. The controller is also in communication with a provider of the utility grid and may generate the control commands for each of the power converters in response to commands provided from the provider of the utility grid.

Various embodiments provide methods and systems for the deployment of distributed energy systems. In an embodiment, a method, performed by a microgrid controller of a microgrid, includes receiving information indicating that a failure has occurred in at least one external grid connected to the microgrid. In response to receiving the information, the method further includes transmitting operational parameters to one or more energy resources to regulate power injected into the microgrid when the microgrid is importing power from the at least one external grid.

The system and method for a green integrated electric power plant mounted on rooftops, includes platform on which installed low body and upper body with gap. There are no rotatable parts for generating electric power except the propeller of generator which is affected by three air flows. The generator with propeller placed inside of upper body vertically. Low body has inside tube and spirals. Also low body has a few windows. Each window supplied by tangential plate for creating confined vortex. Thus one wind flow acting through low body directly on propeller, second air flow move warm air flow from source of warm air such as laundry or boiler room of building through conduit, inner tube and multiple Venturi tubes also act as a propeller. Third wind air flow moves perpendicular to vertical axes of generator and goes through gap between low body and upper body directly on propeller.

There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.

The present disclosure generally relates to systems and techniques for power generation. In some aspects, the techniques described herein relate to a method for power generation, including: receiving a forecast of weather impacting renewable energy generation configured to provide power to a load; distributing energy between a plurality of energy storage equipment based on the forecast of the weather, the plurality of energy storage equipment including different types of storage equipment; selecting one of the plurality of energy storage equipment based on the forecast of the weather; and controlling distribution of power from the selected one of the plurality of energy storage equipment to the load.

A battery unit includes a power storage unit for supplying power to an external device, a communication unit for performing communication with the external device, and a processor for performing a control process on the external device on the basis of a power storage status of the power storage unit or information obtained from the external device. For example, when the state of charge (SOC) of the power storage unit has lowered, the processor limits the operation of a household electric appliance with a low priority level in the control process.

A mission-critical microgrid comprising a renewable energy generator, a microgrid control and distribution unit, electric vehicle supply equipment, an energy storage system, and critical infrastructure electric service equipment. The renewable energy generator generates and provides direct current (DC) power that is then controlled and distributed by the microgrid control and distribution unit. The electric vehicle supply equipment receives DC power from the energy storage system through the microgrid control and distribution unit to be utilized to charge a mission-critical electric vehicle fleet. The mission-critical electric vehicle fleet supplies DC power through the electric vehicle supply equipment to the energy storage system through the microgrid control and distribution unit. The energy storage system receives, and stores DC power generated by the renewable energy generator through the microgrid control and distribution unit. The critical infrastructure electric service equipment receives alternating current (AC) power through the microgrid control and distribution unit that is inverted from the DC power created by the renewable energy generator and stored by the energy storage system, wherein the AC power is used to power a critical infrastructure.