Systems and methods for distributing power in a power-to-the-edge system architecture are provided. In one embodiment, a system comprises an intelligent power switch configured to couple to a power supply, wherein the intelligent power switch outputs a first differential voltage output; and a plurality of intelligent remote nodes each comprising a management microcontroller (MCU) and a DC-to-DC converter. The intelligent remote nodes each receive the differential voltage output, and are communicatively coupled to a data network. The intelligent power switch comprises a processor executing an intelligent start-up control and switching function and an electrical fault detection function. The intelligent power switch outputs the differential voltage at a first voltage level while the electrical fault detection function monitors the differential voltage output. Based on results of monitoring at the first voltage level, the intelligent power switch switches the output to a second voltage level higher than the first voltage level.

Technologies for performing non-intrusive fine-grained power monitoring of a datacenter are provided. Hardware component state information for servers in the datacenter is collected, along with aggregate power consumption measurements for the datacenter. The servers are grouped into multiple virtual homogenous server clusters (VHCs) based on characteristics of the servers. A power model is constructed comprising multiple power mapping functions associated with the multiple VHCs. Component state information of a particular server can then be analyzed, along with a corresponding aggregate power consumption measurement, using the constructed power model to determine an approximate power consumption of the particular server. The approximate power consumption of the server can then be displayed and/or provided to one or more power management applications.

Embodiments of the present disclosure provide a method and apparatus of controlling a network node. The method comprises: providing a virtual PDU by using a computing device; and causing the virtual PDU to control power supply of the network node coupled to the virtual PDU according to a type of the network node. By means of the embodiments of the present disclosure, not only physical nodes can be controlled, but also virtual nodes can be controlled.

Disclosed herein are representative embodiments of methods, apparatus, and systems for facilitating operation and control of a resource distribution system (such as a power grid). Among the disclosed embodiments is a distributed hierarchical control architecture (DHCA) that enables smart grid assets to effectively contribute to grid operations in a controllable manner, while helping to ensure system stability and equitably rewarding their contribution. Embodiments of the disclosed architecture can help unify the dispatch of these resources to provide both market-based and balancing services.

A method, apparatus, system and computer program is provided for controlling an electric power system, including implementation of a voltage control and conservation (VCC) system used to optimally control the independent voltage and capacitor banks using a linear optimization methodology to minimize the losses in the EEDCS and the EUS. An energy validation process system (EVP) is provided which is used to document the savings of the VCC and an EPP is used to optimize improvements to the EEDCS for continuously improving the energy losses in the EEDS. The EVP system measures the improvement in the EEDS a result of operating the VCC system in the “ON” state determining the level of energy conservation achieved by the VCC system. In addition the VCC system monitors pattern recognition events and compares them to the report-by-exception data to detect HVL events. If one is detected the VCC optimizes the capacity of the EEDS to respond to the HVL events by centering the piecewise linear solution maximizing the ability of the EDDS to absorb the HVL event.

A network unit may be operatively attached to power lines of an interconnected power system and/or a device such as a power module that may further include a communication interface. The network unit may be operable to superimpose a first signal representative of a sensed parameter of the power system onto the power lines, thereby to transmit the first signal to other power modules in the interconnected power system or to a power device in interconnected power system. The network unit may receive a second signal of the parameter superimposed onto the power lines from another network unit.

A distributed control system including a plurality of controllers, each controller of the plurality of controllers being in communication with the remaining controllers of the plurality of controllers, each controller being configured to control at least one device, each controller being further configured to: initiate a first timer, in response to a received signal, the first timer having a length that is unique with respect to the first timer lengths of the remaining controllers of the plurality of controllers; send a first notification signal, upon the expiration of the first timer, to the remaining controllers notifying the remaining controllers of an intent to send a command signal; send the command signal to the at least one device, wherein the controller is configured to cancel sending the notification signal and the command signal if the notification signal is first received from one of the remaining controllers of the plurality of controllers prior to the expiration of the first timer.

A method of estimating grid admittance is provided and includes receiving an input of a network topology of a distribution grid, categorizing nodes of the network topology of the distribution grid into node-cases, for each node-case, executing a network admittance estimation algorithm from available measurement information and determining a network admittance estimate for the distribution grid with the network topology from results of the network admittance estimation algorithm executed for each node-case.

Embodiments of the present invention include control methods employed in multiphase distributed energy storage systems that are located behind utility meters typically located at, but not limited to, medium and large commercial and industrial locations. These distributed energy storage systems can operate semi-autonomously, and can be configured to develop energy control solutions for an electric load location based on various data inputs and communicate these energy control solutions to the distributed energy storage systems. In some embodiments, one or more distributed energy storage systems may be used to absorb and/or deliver power to the electric grid in an effort to provide assistance to or correct for power transmission and distribution problems found on the electric grid outside of an electric load location. In some cases, two or more distributed energy storage systems are used to form a controlled and coordinated response to the problems seen on the electric grid.

This disclosure describes techniques that enable a supplemental voltage to be delivered to a Remote Radio Unit (RRU) to compensate for a voltage loss that occurs between a primary Direct Current (DC) power source and the RRU. A supplemental voltage controller is described that captures current environmental metadata associated with an operation of the RRU and calculates an RRU voltage at the RRU. In doing so, the supplemental voltage controller may generate a supplemental voltage control signal that supplements the RRU with a supplemental DC voltage.