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.

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.

Systems and methods for identifying optimal siting locations for an energy storage system. Siting locations are identified based on a value index derived from pricing data associated with a plurality of nodes on an electrical grid. An index is derived for each selected node of the plurality of nodes to produce a siting recommendation.

Systems and methods for identifying optimal siting locations for an energy storage system. Siting locations are identified based on a value index derived from pricing data associated with a plurality of nodes on an electrical grid. An index is derived for each selected node of the plurality of nodes to produce a siting recommendation.

A software-defined control (SDC)-enabled microgrid system includes a physical plane having multiple distributed energy resources (DERs), the DERs being operatively coupled together via a bus, and a control plane. The control plane includes at least one virtual controller running on a hardware server in the control plane, a system analysis module in communication with the physical plane, and an SDC manager coupled with the virtual controller and the system analysis module. The virtual controller includes multiple software-defined functional modules configured to control prescribed parameters of the microgrid. The system analysis module is configured to generate system analytics information as a function of operational information associated with one or more DERs in the physical plane. The SDC manager is configured to generate one or more virtual controllers for controlling an operation of at least a subset of the DERs in the physical plane as a function of the system analytics information.

A software-defined control (SDC)-enabled microgrid system includes a physical plane having multiple distributed energy resources (DERs), the DERs being operatively coupled together via a bus, and a control plane. The control plane includes at least one virtual controller running on a hardware server in the control plane, a system analysis module in communication with the physical plane, and an SDC manager coupled with the virtual controller and the system analysis module. The virtual controller includes multiple software-defined functional modules configured to control prescribed parameters of the microgrid. The system analysis module is configured to generate system analytics information as a function of operational information associated with one or more DERs in the physical plane. The SDC manager is configured to generate one or more virtual controllers for controlling an operation of at least a subset of the DERs in the physical plane as a function of the system analytics information.

A method of managing power for recharging electric vehicles efficiently stores, delivers, and distributes energy. The method includes a plurality of user accounts managed by at least one remote server. The system includes a plurality of mobile computerized recharging stations, wherein each mobile computerized recharging station tracks a location and a current amount of available power within a power storage system. The method begins by prompting each user account to search for at least one best-match station. A search request is relayed for the best-match station from a corresponding user PC device to the remote server. The current location is compared to the station location for each mobile computerized recharging station. The minimum threshold of available power is compared to the current amount of available power for each proximal station. The sufficiently-powered station is displayed as the best-match station through the user PC device.

A method and system of controlling the time dependent transfer of electrical power between a first electrical network and a second electrical network is disclosed. The first electrical network is operable to provide instantaneous electrical power to the second electrical network located at a location, the second electrical network includes electrical generating capacity at the location based on stored energy accessible at the location. The method and system involves receiving at the second electrical network pricing information from the first electrical network, the pricing information associated with the future supply of electrical power by the first electrical network to the second electrical network and then modifying substantially in real time the transfer of electrical power between the first and second electrical networks in accordance with the pricing information and the electricity demand characteristics of the location.

A method and system of controlling the time dependent transfer of electrical power between a first electrical network and a second electrical network is disclosed. The first electrical network is operable to provide instantaneous electrical power to the second electrical network located at a location, the second electrical network includes electrical generating capacity at the location based on stored energy accessible at the location. The method and system involves receiving at the second electrical network pricing information from the first electrical network, the pricing information associated with the future supply of electrical power by the first electrical network to the second electrical network and then modifying substantially in real time the transfer of electrical power between the first and second electrical networks in accordance with the pricing information and the electricity demand characteristics of the location.

An energy storage assembly includes an energy storage unit. A supervisor is operable to determine a power reference set point based upon a cost function. A storage unit controller is configured to control the energy storage unit to provide electric energy to at least one load based upon a power reference input that is based upon the power reference set point and at least one dynamically changing power profile from the at least one load.