Devices and methods of allocating distributed energy resources (DERs) to loads connected to a microgrid based on the cost of the DERs are provided. The devices and methods may determine one or more microgrid measurements. The devices and methods may determine one or more real-time electricity prices associated with utility generation sources. The devices and methods may determine one or more forecasts. The devices and methods may determine a cost associated with one or more renewable energy sources within the microgrid. The devices and methods may determine an allocation of the renewable sources to one or more loads in the microgrid.

The present device and method provide continuous power supply to consumers at a minimal cost. The present device combines electrical power from a plurality of direct and alternating current sources while working together with or separately from an external electrical power grid. Inside of the device, generation sources are connected via DC/DC and AC/DC converters to a DC bus, to which batteries are also connected via a charge control system. DC current is converted into AC current through reversible AC/DC converters according to the number of grid phases and an AC bus is connected to said converters, allowing for energy from an external grid to also be used for charging the batteries. The method of control is based on a cyclical program for selecting energy sources, said program being executed by a control unit and having dynamic parameter correction that takes into account present and projected energy production and consumption.

A cyber-secure local electrical power market for a power grid with a utility operator transmitting power where a group of participating nodes within the distribution network operate together through respective computers on a blockchain architecture. The participating nodes have controllable resources with controllers in operative communication within the blockchain architecture, such as controllable generators and controllable loads. Decentralized market software operates on computers within the blockchain architecture and shares blockchain datasets that include financial information associated with the controllable resources and operating states of the grid. One or more of the computers in the blockchain architecture calculates Locational Marginal Pricing (LMP) across the participating nodes according to the set of financial information and determines a set of energy service orders corresponding to LMP for the controllable resources to change their operating states. The computers also preferably calculate an energy balance with the transmission system in determining the energy service orders.

A grid power configuration may provide a reliable, efficient, inexpensive and environmentally conscious power source to a site, for example, a remote site such as a well services environment. Grid power may be provided for one or more operations at the site by coupling a main breaker to a switchgear unit coupled to one or more loads. The switchgear unit may be coupled to the main breaker via a main power distribution unit and may also be coupled to one or more loads. At least one of a grid power unit and a switchgear unit may be coupled to the main breaker via the main power distribution unit and may also be coupled to one or more additional loads. A control center may be communicatively coupled to the main breaker or any one or more other components to control one or more operations of the grid power configuration.

The present device and method provide continuous power supply to consumers at a minimal cost. The present device combines electrical power from a plurality of direct and alternating current sources while working together with or separately from an external electrical power grid. Inside of the device, generation sources are connected via DC/DC and AC/DC converters to a DC bus, to which batteries are also connected via a charge control system. DC current is converted into AC current through reversible AC/DC converters according to the number of grid phases and an AC bus is connected to said converters, allowing for energy from an external grid to also be used for charging the batteries. The method of control is based on a cyclical program for selecting energy sources, said program being executed by a control unit and having dynamic parameter correction that takes into account present and projected energy production and consumption.

Methods and apparatus for asset management are provided. The apparatus, for example, a processor to receive an input including intervention information for a first plurality of assets in a first circuit and for a second plurality of assets in a second circuit in a network; create a first plurality of bundling strategies for interventions to be performed for the first plurality of assets in the first circuit and create a second plurality of bundling strategies for interventions to be performed for the second plurality of assets in the second circuit; calculate for a created first plurality of bundling strategies and a created second plurality of bundling strategies at least one of an outage duration and cost associated with the interventions; and create a schedule for performing interventions for the first plurality of assets in the first circuit and the second plurality of assets in the second circuit.

A system for monitoring and optimizing fuel consumption by a genset at an oil rig is described. Gensets require large amounts of fuel to initiate and to maintain in a standby, idling position. The system accesses data in a drill plan to determine the present and future power requirements and initiates gensets if needed; otherwise gensets can be shut down. Excess power can be stored in a power storage unit such as a capacitor, battery, or a liquid air energy storage unit.

The present inventive concepts comprise a connected, intelligent transfer switch system that permits remote metering, monitoring and control of energy sources connected to a device both by hardwired and wireless connection, and the method for operating this system is disclosed. The inventive concepts represent a significant improvement upon existing transfer switch systems by incorporating advanced monitoring and control capabilities of all energy resources connected to a building, such as fossil-fuel powered generators, battery storage systems, solar photovoltaic arrays, wind turbines, utility grid connections, controllable loads, or other technologies which generate, store or consume energy. The inventive concepts further provide means for flexible and intelligent operation of these resources through a dedicated network communication connection which enables advanced operational decision-making to determine optimal switching actions and real-time interaction through user-facing digital interfaces.

Systems, methods, techniques, and apparatuses of a medium voltage alternating current (MVAC) network are disclosed. One exemplary embodiment is a direct current (DC) interconnection system for an MVAC distribution network including an AC/AC power converter including a first AC terminal and a second AC terminal; a plurality of switching devices structured to selectively couple a first AC terminal to a plurality of feeder line points in the MVAC network; and a control system structured to receive a set of measurements, calculate a headroom value for each feeder line point using the set of measurements, select a first feeder line point using the calculated headroom values, operate the plurality of switching devices so as to couple the first AC terminal to the first feeder line point, and operate the AC/AC power converter so as to transmit MVAC power from the first AC terminal to the first feeder line point.

A method and apparatus for tertiary control with over-current protection. In one embodiment, the method comprises calculating at least one unconstrained optimal net intertie target for an area of a power network; calculating, for each resource within the area, optimal scheduled current to achieve the at least one unconstrained optimal net intertie target; calculating, using the optimal scheduled currents and a plurality of stress coefficients, net scheduled current for each power line segment within the area; comparing the net scheduled currents to corresponding stress thresholds to identify any stress violations; reducing, when the comparing step identifies one or more stress violations, the optimal scheduled current for one or more resources contributing to the one or more stress violations; and calculating, when the comparing step identifies the one or more stress violations, updated optimal scheduled current for one or more resources not contributing to the one or more stress violations.