A method for flexible coordinated operation of an urban distribution network and a watershed network, including: constructing a watershed network dynamic operation model; constructing a river water storage model a lake water storage model based on the watershed network dynamic operation model; constructing a distribution network linear alternating-current (AC) power flow model and an operating power-flow rate operation model of the pump stations to obtain a coordinated operation model of the urban distribution network and the watershed network; constructing a watershed-electricity composite sensitivity matrix; quantifying a time-varying adjustable power domain of each pump station through a pump station flexibility assessment method based on the watershed-electricity composite sensitivity matrix; constructing a power flow optimization model of the urban distribution network and a hydraulic energy flow optimization model of the watershed network; and performing electricity-water energy flow interactive optimization involving a flexible resource of the pump stations.

Techniques and apparatus presented herein are directed to improvements in maintaining voltage and frequency stability of an electric power delivery system. To do so, model predictive control (MPC) may be used. Input data may be obtained for a sampling period and may include a current system state. The MPC may predict an initial trajectory of the input data, output data, and a state of the system for a prediction period. The MPC may linearize the output and state trajectories and determine an updated input trajectory based at least in part on the linearized output trajectory. The MPC may determine control inputs to the system which achieve the updated input trajectory for a control period. The MPC may transmit control signals based at least in part on the control inputs to equipment associated with the input data.

A method of testing a distribution center bus system having one or more of the following features: (a) opening a reserve bus breaker between a reserve bus UPS and a reserve bus, (b) initiating a self-test mode at the reserve bus UPS, (c) routing current through the reserve bus UPS, the reserve bus, a reserve bus static bypass circuit back to the reserve bus UPS, (d) testing the reserve bus to detect heat, determine any significant current loss, or identify other attributes suggesting failure, (e) identifying if a primary bus static transfer switch has tripped over to the reserve bus, and (f) terminating the self-test at the reserve bus UPS if the primary bus static transfer switch has tripped.

Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information relating to activities by the power consuming devices and/or the power supplying devices; and wherein the information is transformed by the system into settlement grade data corresponding to the activities of the power consuming devices and/or the power supplying devices.

A computer-implemented method for providing an estimated utility expenditure to a user may include: obtaining, via one or more processors, historical transactional data of one or more customers other than the user from one or more transactional entities, wherein the historical transactional data includes: at least one address of a given customer of the one or more customers; and a historical utility expenditure associated with the at least one address; generating, via the one or more processors, a heatmap based on the historical transactional data of the one or more customers via one or more algorithms, wherein the heatmap is indicative of at least the estimated utility expenditure associated with the at least one address during a predetermined period; and causing a display of a user device associated with the user to demonstrate the heatmap.

A method for feeding electrical power into an electrical supply network using an inverter-controlled infeed unit is provided. The infeed unit has an inverter arrangement with a plurality of inverters to generate an output power and feed same into the network. Each inverter has an associated isolating switch to galvanically isolate the respective inverter from the network. Each inverter has a circuit composed of switches to generate an output current using pulsed actuation. Each inverter generates a variable partial power, and the output power is a sum of all partial powers. Depending on the output power, one or more of the inverters are operated as active inverters that respectively generates a partial power. The other inverters are operated as passive inverters that do not generate a partial power. One or more of the passive inverters are operated as blocked inverters and remain galvanically connected to the network.

An example system includes an aggregator configured to receive a service collaboration request and iteratively determine, based on minimum and maximum power values for DERs under its management, an optimized operation schedule. The aggregator may also be configured to iteratively determine, based on the optimized operation schedule, an estimated flexibility range for devices under its management and output an indication thereof. The system may also include a power management unit (PMU) configured to iteratively receive the indication and determine, based on a network model that includes the estimated flexibility range, a reconfiguration plan and an overall optimized operation schedule for the network. The PMU may also be configured to iteratively cause reconfiguration of the network based on the plan. The PMU and aggregator may also be configured to iteratively, at a fast timescale, cause energy resources under their management to modify operation based on the overall optimized operation schedule.

A surplus power capacity calculation system includes: a measurement unit that measures a total value of electric power supplied from a power supply device to a plurality of ICT devices; and a monitoring device that calculates a surplus power capacity of the power supply device. The monitoring device includes: a calculation unit that acquires the total value and a processing amount of each of the plurality of ICT devices, estimates an increase in power consumption on the basis of the processing amount when each ICT device performs processing with a maximum processing amount, and subtracts a sum of the increase and the total value from a maximum power consumption amount of the power supply device to calculate the surplus power capacity.

A computer-implemented method for identifying a topology of a power distribution grid having a number of transformers includes acquiring measurement signals of one or more electrical quantities pertaining to nodes of the power distribution grid. A graph representation is generated using the measurement signals and grid topological information, wherein the measurement signals pertaining to respective nodes are used to derive node features and the grid topological information is used to encode edges representing certain and uncertain connections between the nodes. The graph representation is processed using a graph neural network to classify the nodes and output a mapping of each of the nodes to one of the transformers, whereby a status of the uncertain connections is determined.

An optimal dispatching method and system for a wind power generation and energy storage combined system are provided. Uncertainty of a wind turbine output is characterized based on spatio-temporal coupling of the wind turbine output and an interval uncertainty set. Compared with a traditional symmetric interval uncertainty set, the uncertainty set that considers spatio-temporal effects effectively excludes some extreme scenarios with a very small probability of occurrence and reduces conservativeness of a model. A two-stage robust optimal dispatching model for the wind power generation and energy storage combined system is constructed, and a linearization technology and a nested column-and-constraint generation (C&CG) strategy are used to efficiently solve the model.