The invention is a method for intelligent current limiting enabling chaining of electrical appliances. Different embodiments apply to alternating current (AC) appliances, direct current (DC) appliances, and a combination of each. In each embodiment, current limits control the number of appliances that can be connected in the chain. If current limits are exceeded, current-limiting devices cut power to one or more of the appliances. Each appliance in the system has conductors with the capacity to carry a current load at least as large as the overall current limit. Preferably, the appliances in the system are garage appliances that are mounted to an overhead track system in a garage, where electrical outlets are scarce.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

The present disclosure relates to systems and methods of simulating a power system using field data. For example, an embodiment may include a processor operatively coupled to a memory. The processor may receive a power system model representative of an actual power system. The processor may receive field data from the actual power system. The processor may initialize the power system model based on the field data to represent a state of the actual power system. The processor may simulate at least one scenario on the power system model. The processor may provide results of simulating the at least one scenario.

A supply-demand control device connected through a communication network to a charge-discharge control device to control charge and discharge of a power storage device connected to a power distribution line in a power distribution system managed by a community, the supply-demand control device including a load and power-generation-amount estimation unit to estimate a load and a power generation amount as a planned load and power generation amount; a first-evaluation-function calculation unit to calculate a value of a first evaluation function, which is a sum of a power purchase cost, a natural-discharge loss cost, a storage-battery life-span cost, a power-transmission loss cost, and a charge-discharge loss cost; a planned charge-discharge command calculation unit to calculate the charge-discharge command amount by which the first evaluation function is minimized; and a power-purchase plan output unit to create a power purchase plan based on the charge-discharge command.

The invention is a method for intelligent current limiting enabling chaining of electrical appliances. Different embodiments apply to alternating current (AC) appliances, direct current (DC) appliances, and a combination of each. In each embodiment, current limits control the number of appliances that can be connected in the chain. If current limits are exceeded, current-limiting devices cut power to one or more of the appliances. Each appliance in the system has conductors with the capacity to carry a current load at least as large as the overall current limit. Preferably, the appliances in the system are garage appliances that are mounted to an overhead track system in a garage, where electrical outlets are scarce.

A method and apparatus for determining a network topology of a hierarchical network, the apparatus including: a memory unit to store an outage state matrix representing an outage state of leaf nodes at the lowest hierarchical level of the hierarchical network; and a processing unit to decompose the stored state matrix into a first probability matrix indicating for each inner node of the hierarchical network the probability that the respective inner node forms the origin of an outage at the lowest hierarchical level of the hierarchical network and into a second probability matrix indicating for each leaf node at the lowest hierarchical level of the hierarchical network the probability that an inner node forms a hierarchical superordinate node of the respective leaf node at the lowest hierarchical level of the hierarchical network, wherein the decomposed second probability matrix is evaluated by the processing unit to determine the network topology.

Embodiments of the disclosure relate to a grid control system for at least one electrical grid. The system includes at least one peer-to-peer network having at least one peer-to-peer application. The peer-to-peer application has a detecting means executable by a part of the nodes of the peer-to-peer network and is configured to detect a first peer-to-peer module assigned to a controllable electrical device upon a connection of the controllable electrical device with the electrical grid. The first peer-to-peer module is configured to communicate with the peer-to-peer application, and the peer-to-peer application includes a registering means executable by at least a part of the nodes of the peer-to-peer network and is configured to store at least one identifier assigned to the detected controllable electrical device and at least one switching pattern of the detected controllable electrical device.

In a multi-terminal DC power transmission system, a common control device is connected to a plurality of individual protective devices via a first communication network. Each of the individual protective devices is configured, when detecting change in current or voltage in a corresponding protection zone, to output a fault signal to the common control device via the first communication network and open the corresponding DC circuit breaker such that the corresponding protection zone is disconnected from the multi-terminal DC power grid and deenergized. The common control device estimates a fault occurrence zone where a fault occurs among a plurality of protection zones, based on a plurality of received fault signals. The common control device requests an individual protective device corresponding to a deenergized protection zone of the protection zones excluding the fault occurrence zone to reclose the DC circuit breaker such that the deenergized protection zone is restored.

Methods, devices and systems for detecting an anomaly in a power network are described. A method for detecting an anomaly in a power network includes determining a baseline power usage in the power network, receiving data indicative of an active power usage in the power network, detecting an anomaly based on a difference between the baseline power usage and the active power usage, isolating a fault for an element in the power network, responsive to detecting the anomaly, and transmitting fault isolation information indicating the fault to a user device. Related devices and systems may perform operations of the method described herein.

An electric power system includes an energy management system configured to control a generated power output level of one or more electric generator resources, and a configuration of two or more high-voltage transmission lines, for efficient operation based, at least in part, on a topology error estimation using binary values corresponding to switch statuses. Increased accuracy of network topology estimates facilitates improved state estimation, which in turn enables production of more highly optimized control of electric generator resources and configuration of high-voltage transmission lines.