Methods, systems, and computer programs are presented for estimating recovery of a distribution network after a disaster. One method includes an operation for generating a synthetic distribution network based on locations of substations in a geographical area. Further, the method includes operations for estimating damages to the synthetic distribution network based on disaster data, and for performing a simulation to estimate how the synthetic distribution network is repaired. The output of the simulation includes information on a lifeline recovery timeline for each building in the geographical area. Further, the method includes presenting, in a user interface, the recovery timeline for one or more buildings.

An apparatus and method for parameter comprehensive monitoring and troubleshooting of power transformation and distribution are disclosed. The apparatus includes a data acquisition unit, an on-site CPU, a main CPU, an operation and maintenance control center, a UPS and an energy storage breaking mechanism. Each on-site CPU compares the relevant state values of equipment line collected by a data acquisition unit with a threshold set by fiber Bragg grating sensor nodes and sums up to a main CPU. The main CPU stores and display the relevant state values through a display screen. The node represents each distribution point. A link represents a data transmission path. An attached table displays all state parameters. A working state of the distribution equipment is determined according to a color of the node and the link.

Systems, methods, and computer-readable media are disclosed for autonomous restoration of power systems after natural disasters. An operating mode of a circuit breaker that is in a power system grid and that is coupled to other circuit breakers in the power system grid via communication channels is determined. Based on determining that the operating mode is a normal operating mode, data to parameterize a plurality of power grid restoration scenarios is collected at the circuit breaker. Based on determining that the operating mode is an exception mode, measurement data that includes current and voltage data is received at the circuit breaker, and one of the power system grid restoration scenarios is initiated at the circuit breaker. The power system grid error restoration scenario is selected based at least in part on a status of the plurality of communication channels coupled to the circuit breaker and on the measurement data.

A communication-based permissive protection method for protecting an electrical power distribution network from a fault. The network includes a power source, an electrical line and a plurality of fault interrupters, where the fault interrupters are operable to prevent current flow in response to the fault. The method includes detecting the fault by each fault interrupter that is between the fault and the power source, and sending a drop of voltage message from each fault interrupter that doesn't detect the fault, but does detect a drop of voltage as a result of the fault to its immediate upstream fault interrupter. The method opens the fault interrupter that both detects the fault and receives a drop of voltage message from all of the fault interrupters immediately downstream of that fault interrupter.

A plurality of generators redundantly supply power to AC motors via a main DC bus system having a pair of buses, each of which is connected to each generator by an active front end (AFE) inverter containing an insulated-gate bipolar transistor. Isolated DC/AC inverters are connected to the pair of main buses in pairs, respectively. Each pair of the isolated DC/AC inverters is connected to one of the AC motors with a filter of capacitors and inductors between each inverter and the motor. The AFE inverters and isolated DC/AC inverters galvanically isolate the main buses and enable load sharing among the generators.

Methods and systems for identifying and correcting abnormal electrical activity about a structure are provided. An electricity monitoring device may monitor electrical activity including transmission of electricity via an electrical distribution board to devices about the structure. Electrical activity may be correlated with respective electrical devices to build an electrical profile indicative of the structure's electricity usage. Based on the electrical profile, abnormal electrical activity may be identified and corrective actions may be taken to mitigate or prevent structural damage.

An underwater data center is provided. A data center is positioned in a water environment, powered by one or more sustainable energies and including: an electronic device; a housing member that houses the electronic device and the data center under water; and a heat exchanger that is provided at the housing member and that is configured to discharge, into a water environment, heat discharged from the electronic device. The underwater data center is coupled to a sustainable energy source.

An underwater data center includes a data center positioned in a water environment, powered by one or more sustainable energy sources. One or more data center nodes is coupled to the data center or included in the data center. A controller is coupled to the one or more data center nodes. A housing member houses the data center node under water. A passive cooling system coupled to the data center. The passive cooling operates by at least one of convention or conduction without moving fluid in the housing. The underwater data center is coupled to a sustainable energy source that provides energy to the underwater data center. The controller is configured to redistribute excess power from the sustainable energy source to an alternate source responsive to determine that the power from the sustainable energy source is greater than an amount needed to power the system.

Protection distribution devices including switches, disposed on a distribution grid, are individually provided with slave stations. The slave stations are connected to each other via communication lines and connected to a high-order server. Each slave station includes a failure symptom cause estimation circuitry to estimate a symptom cause for failure on the distribution grid on the basis of waveform data measured by a measurement circuitry which performs signal processing on waveform data of current or voltage detected by the protection distribution device, and a data transmitter/receiver to transmit an estimation result for the symptom cause for failure on the distribution grid obtained by the failure symptom cause estimation circuitry, to the server. The failure symptom cause is autonomously estimated through mutual communication among the slave stations.

A computer system provides online state estimation (SE) and topology identification (TI) using advanced metering infrastructure (AMI) measurements in a distribution network. The computer system obtains input data including the AMI measurements, a network configuration, and line parameters; solves an SE and TI problem formulated from the input data and power equations of the distribution network; and periodically updates states and topology of the distribution network during power system operation. To solve the SE and TI problem, the computer system constructs a mixed-integer convex approximation programming (MICP) model to obtain an initial topology; generates neighboring spanning trees according to the MICP model and the initial topology; evaluates performance of each neighboring spanning tree with a matching index that is an indication of power flow performance; and chooses a tree topology of a neighboring spanning tree having a minimum matching index as a final network topology of the distribution network.