1185 results about "Smart grid" patented technology

A smart grid gateway which includes a onboard computer programmed to provide load measurement and control of at least one local resource or asset. At least one metrology module is configured to provide metering of the at least one local resource or asset. At least one LAN module is configured to communicate with the at least one local resource or asset. At least one WAN module is configured to communicate with a network operations center.

The Electric Power Converter has the qualifications for an uninterruptable power supply, battery management, energy conversion, micro-grid formation, Power Factor Correction including Total Harmonic Distortion correction in real time. Uninterruptable power supply's use is for always-on, real-time, all-time, reduced distortion with functions of load reduction and management during peak load events. The Electric Power Converter as well has the ability to provide maintenance for most types of batteries including charging and discharge regiments to increase the overall lifetime of a battery, the maintenance, incorporating restorative functions that can refurbish dead batteries or can further increase the overall efficiency and useful function of weaker/aged/defective batteries. Energy conversion capabilities allow for the conversion of AC or DC to AC or DC with high efficiency and ability to actively vary the frequency in accordance to the required parameters. The Electric Power Converter is able to establish and sustain a micro-grid with multiple and varying sources of power generation and load conditions. The Electric Power Converter is achieving dynamic, real-time, interactive Power Factor Correction (PFC) function with advanced voltage harmonic distortion correction with a high efficiency ratio. The Electric Power converter is designed to function with the emerging Smart Grid technologies and provide an overall higher level of operating efficiency and higher quality of electrical power.

A system for managing loads and detecting outages over electric power lines that comprises wireless temperature sensors which are attached to bare conductors of the electric power line(s), at line junctions or lines' splitting points, for sensing temperatures generated by the currents flow in the conductors. The system also includes a Current Measurement Units (CMU) for wirelessly reading the temperature sensed by the sensors, to allow cheap, rapid and easy RMS currents measurements on power lines at any voltage levels, by using temperature into current conversion formulas and tables.

A method to forecast the energy sources and energy sinks to facilitate continuous capacity planning, regulation and control of energy state of an entity under variable weather condition is established. Energy sources of specific focus are related to renewable energy forms from wind, solar and wave that are highly dependent on prevailing weather conditions.

A renewable energy resource management system manages a delivery of a power requirement from a multi-resource offshore renewable energy installation to an intelligent power distribution network. The installation includes multiple renewable energy resource components and is capable of variably and independently generating power from each to microgrids comprising the intelligent power distribution network so that the entire power requirement is satisfied from renewable energy resources. An electricity grid infrastructure is also disclosed in which power production is balanced with power consumption so that power storage requirements are minimized.

The invention provides a node positioning method of a wireless sensor network of a smart power grid. The method comprises following steps of setting multiple fixed nodes as beacon nodes; sending positioning information to multiple surrounding beacon nodes by a mobile node of a wireless sensor network; obtaining the distances between the mobile sensor network node and the multiple fixed nodes through an RSSI algorithm according to the relationship of sending field intensity and corrected receiving field intensity; solving the coordinate information of the mobile sensor network node by using a trilateration method; and correcting the solved coordinate information of the mobile sensor network node by using a maximum likelihood method. According to the node positioning method of the wireless sensor network of the smart power grid provided by the invention, the method is applied to underground power node communication by using a wire and wireless hybrid communication mode, and the node positioning precision in hybrid communication of the heterogeneous network of the smart power grid can be improved.

The invention relates to a line navigation amphibious power circuit comprehensive maintenance robot and a circuit maintenance method thereof. The line navigation amphibious power circuit comprehensive maintenance robot comprises a flight subsystem, an online subsystem and an operation subsystem, wherein when the robot is in a flight operation mode, the flight subsystem is used for executing far-distance or short-distance cruising of the power circuit; when the robot is in an online operation mode, the online subsystem is used for realizing the moving of the robot on the power circuit; and when the robot is in the online operation mode, the operation subsystem is used for maintaining the power circuit. According to the scheme, high stability, easy operability and controllability and flexibility of a multi-rotor unmanned aerial vehicle technique are utilized, and the specificity and intelligence of online robot technique are also utilized; and by organic combination of the two techniques, the limitation of each technique is overcome, and the superiority of the two techniques in comprehensive maintenance of strong and smart grid is exerted to a maximum extent.

A dynamic stochastic optimal power flow (DSOPF) control system is described for performing multi-objective optimal control capability in complex electrical power systems. The DSOPF system and method replaces the traditional adaptive critic designs (ACDs) and secondary voltage control, and provides a coordinated AC power flow control solution to the smart grid operation in an environment with high short-term uncertainty and variability. The DSOPF system and method is used to provide nonlinear optimal control, where the control objective is explicitly formulated to incorporate power system economy, stability and security considerations. The system and method dynamically drives a power system to its optimal operating point by continuously adjusting the steady-state set points sent by a traditional optimal power flow algorithm.

A self-organizing protection coordination system within a power network is provided. The self-organizing protection coordination system in the power network includes a plurality of distribution devices communicatively coupled to each other in a power network. The power network also includes a protection device coupled to each of the plurality of distribution devices configured to transmit power in the distribution network. The power network further includes a controller coupled to each of the plurality of distribution devices. The controller receives communication channel characteristics from a plurality of distribution devices in a distribution network at an interval of time. The controller also computes a delay in time for receiving the communication characteristics. The controller further determines a plurality of reliability indicators at each of the plurality of distribution devices. The controller adjusts tripping characteristics of the plurality of distribution devices to minimize the reliability indicators based on the computed delay.

Systems and methods are described for software-defined approaches to energy communication networks (ECNs). For example, electrical substations typically host many Intelligent Electronic Devices (IEDs) that monitor and/or control the state of the substations' electricity infrastructures. Critical data from the IEDs can be packaged and transmitted between multiple IEDs for proper system monitoring and control. Even modern networks that interconnect IEDs tend to manifest many limitations, ranging from setup complexity to security policies. Embodiments use novel software-defined networking techniques to address these and other limitations. In some embodiments, power system requirements (e.g., data and communications requirements of IEDs) are translated into a set of networking requirements (e.g., as central routing tables). One implementation uses a Ryu-based, software-defined network controller. Embodiments provide features, such as auto-configuration, security management, re-routing, and flexibility to handle rapid evolution of the smart grid.

Disclosed is an intelligent power grid management system. In a certain area, an area-level minisize intelligent power grid system is established, which uses the common power supply of regenerative resources such as photovoltaic generation and wind power generation and the traditional power grid as the main power supply, the micro-turbine generation as the supplementary power supply, and the storage battery energy storage as the adjusting device; and comprehensively connects the power supply system with the distribution system of the area, the power utilization system of each building user. And then the intelligent power grid system including a generation and energy storage side management system as well as a power utilization side management system is comprehensively managed by utilizing the network communication and the intelligent control as the nerve centre, thus effectively lifting the utilization rate of regenerative resources in the area, raising the reliability of the power supply network of the area, improving the intellectualization degree of the whole power grid of the area, effectively saving energy and improving the power utilization satisfaction of users.

This disclosure relates to systems, devices, protocols, and processes for retrieving, accessing, and presenting information of energy usage using a distributed storage process and distributed logical services to provide a user with real-time energy usage information and visualization.

This invention relates to an integrated management system of intelligent power grid; the integrated management system disclosed by this invention comprises a plurality of sensor terminals which are connected mutually through sensor network and are used for obtaining the equipment or environment information of a transmission link, a power transformation link, a distribution link and a power utilization link; pre-posed application servers which are connected mutually through a MIS (Management Information Service) bus and are used for interacting information with the sensor network and providing the application service of each link and across-links according to the equipment or environment information of the transmission link, the power transformation link, the distribution link and the power utilization link; and a management application platform capable of interacting with a plurality of pre-posed application servers and providing the integration task and data sharing of the application service of the transmission link, the power transformation link, the distribution link, the power utilization link and the across-links. According to the integrated management system disclosed by this invention, a data sharing and integration processing system of the transmission link, the power transformation link, the distribution link and the power utilization link is established based on the sensor network so as to realize to manage and monitor electric power resource; the redundancy of a working procedure is reduced; and working efficiency is increased.

The invention discloses a method for establishing virtual reality excavation dynamic smart load prediction models. The method includes the steps that the knowledge excavation technology is adopted so that a virtual reality analysis environment can be formed, the influence relation between fixed quantities is explored, and an input variable candidate set is determined; smart load prediction models of a support vector machine of a self-adaptive structure and an Elman neural network and the like are established, wherein input variables are determined by the support vector machine through the attribute screening technology and parameters are optimized by the support vector machine through a flora tendency differential evolutionary algorithm; a region load smart load prediction model based on data slice excavation is established; a load curve prediction model combined with dynamic electrovalence factors, user characteristics and the user response electric quantity is established, so that linked correcting prediction of loads, electrovalence and the response electric quantity is achieved. According to the method, the prediction models suitable for the actual condition of a smart power grid of China are established, the scale of construction of renewable energy sources is reasonably planned, more efficient power utilization of users is facilitated, and reasonable arrangement of power supply resources of power enterprises is facilitated.

The invention discloses a charging-discharging system for a V2G bilateral power conversion electric automobile and a control method thereof, which belong to the technical field of intelligent power grids. In the charging-discharging system, a single-phase or three-phase voltage PWM (Pulse Width Modulation) converter (VSC) is taken as a first-grade power conversion circuit, so that energy conversion between an alternating-current power grid and a first direct-current bus is realized; and a symmetric half-bridge LLC (Logical Link Control) resonant bilateral direct current-direct current (DC/DC) converter is taken as a second-grade power conversion circuit, so that energy conversion between a direct-current bus and a power battery pack is realized. The charging-discharging system has the beneficial effects that: the current of the converter power grid side of the first-grade power conversion circuit is approximate to sine wave, so that the harmonic content is small; and the converting efficiency, dynamic performance and power density of the second-grade power conversion circuit are increased, the volume and weight of a charging-discharging device of the electric automobile are reduced, and the safety, reliability and economic efficiency of the system are improved effectively.

A computer-implemented method for use in evaluating at least one threat to a complex system includes identifying one or more physical components of the complex system and modeling the one or more physical components with interactive software multi-agents. The multi-agents are programmed to monitor and control at least one function of the modeled physical components. One or more threats to a target of the complex system are identified. Each threat is defined as a cyber threat or physical threat and the target is defined as a cyber component or physical component. The method includes simulating an attack on the complex system by the identified threat and assessing an impact of the attack on the complex system.

A method and system of power factor optimization and total harmonic distortion are provided under the premise of efficient power management and distribution on an electrical grid. The method and system include a novel optimization technique based on a novel current profiling methodology enabling real-time power management with power factor correction as a function of the optimization. The optimization can be performed under dynamic current constraints. When deployed on an electrical grid, the method and system can provide a new technique for power management targeting an efficiency of the electrical grid. The method and system can thus provide for reduced costs of energy production and reduced carbon emissions into the atmosphere.

Provided is a Web of Things smart power grid operation and maintenance system. The Web of Things smart power grid operation and maintenance system comprises a front end integration monitoring device, a power supply device, a monitoring host machine and a monitoring center, the monitoring host machine is in charge of receiving collection data sent back by the front end monitoring device, and filtering, temporary storing and uploading the received data to a database server of the monitoring center, and meanwhile in charge of receiving, analyzing, and distributing commands issued by the monitoring center, the database server, a streaming media server and an application server of the monitoring center are all communicated with the monitoring host machine through a wireless network gateway, a Web of Things smart power grid operation and maintenance platform is operated on an application terminal, and the Web of Things smart power grid operation and maintenance platform comprises an electronic map, a monitoring alarm module, a device failure alarm module, an action with alarm module, a device management module and a statistic analysis module. The Web of Things smart power grid operation and maintenance system has the advantages of being small in size, light in weight, convenient to install, ultra-low in power consumption, and high in automation degree and intelligent degree.

A dynamic layer diagnostic device for smart power grid fault comprises a data collection and monitoring unit, a data processing unit, a data base unit, a communication unit and a man-machine interaction unit. A dynamic layer diagnostic method includes: when a smart power grid breaks down, calculating fault diagnosis starting conditions to conform a diagnosis strategy, wherein the fault diagnosis strategy comprises switch layer diagnosis, feeder layer diagnosis and transformer substation layer diagnosis; starting the switch layer diagnosis when changes of switch motion information are remarkable before and after the fault; starting the transformer substation diagnosis when changes of electricity amount information are remarkable before and after the fault; stopping the diagnosis when a fault element is the only one element during the diagnosis of the switch layer; otherwise, retrieving the switch historical action recording, and starting the transformer substation diagnosis when recording matched with the current switch action exists; and otherwise, starting the feeder layer diagnosis. The dynamic layer diagnostic method performs layering analysis on the fault, fully utilizes various fault information and improves fault diagnosis accuracy according to different characteristics of multisource information after the power grid fault and difficulty layer in obtaining and processing of various information.

The invention relates to a method and device for performing on-load scheduling on a single-phase load in the intelligent power grid field. A master controller is mounted at an input end of a three-phase wire, a secondary controller is mounted at each single-phase branch of the wire, and the master controller exchanges information with the secondary controllers through communication interfaces. When the wire power unbalanced degree is over limit, the master controller optimizes and formulates a control scheme to operate the secondary controllers to convert the single-phase load between the phases; in the conversion process, the load is free from instant power off, and the power grid is free from impact and interference; and therefore, the distribution circuit dynamically runs in a load balance state, the unbalanced consumption problem of the circuit is completely solved.

The invention relates to a visualization display system of an intelligent power network. The visualization display system comprises a data intelligent information integration platform and a visualization display platform. The data intelligent information integration platform comprises an analysis module, a draw-off module, a cleaning module, a conversion module and a loading module. The visualization display platform comprises a GIS module, a graphic chart module and a video monitoring module. The advantages are as follows: a power network information visualization aspect with richer, more visual and more vivid display requirements is provided for users, and the system can carry out display in an omni-directional, stereoscopic, multi-angle and multilayer mode and satisfies various demands for visualization application of power network services; and the application is wide, the display modes are diversified, multiple presenting modes such as a video, a GIS thematic graph, a graphic chart and the like are supported, and the system and method are suitable for different demand scenes.

The invention discloses an intelligent cubicle switchboard oriented to an intelligent power grid and an operating and controlling method thereof. The cubicle switchboard comprises an intelligent cubicle switchboard monitoring unit, a temperature and humidity detecting unit, an intelligent measuring and controlling unit, a mechanical characteristic on-line monitoring unit, an insulation on-line monitoring unit, a video monitoring unit, a cubicle switchboard inner environment control unit, a human-computer interface unit, a station level monitoring system, a system power supply unit, a network communication unit and a carrier communication unit. The method comprises the following steps of: monitoring and controlling primary equipment by using the intelligent cubicle switchboard monitoring unit; detecting and regulating the temperature and the humidity in the cubicle switchboard; displaying and adjusting parameters by using the human-computer interface unit; communicating with an intelligent device of the intelligent power grid; displaying video information of the primary equipment in the cubicle switchboard; and communicating the network communication unit with a higher lever monitoring system. The invention can realize intelligent control, mechanical characteristic on-line monitoring, insulation on-line monitoring, video monitoring and quick and reliable communication.

Provided are a charging and discharging system for a solar light power generator in a smart grid environment, a method of operating the same, and a duplex converter for charging and discharging electricity into/from a battery. The system includes: an electricity price monitoring part which collects electricity price information from an electric grid; an electricity charge amount monitoring part which collects electricity charge amount information of a battery; a charge and discharge determination part which determines whether electricity supplied from the electric grid is to be charged into the battery or whether electricity stored in the battery via the electric grid or the solar light power generator is to be discharged to the electric grid, based on the price information and the charge amount information; and a charging and discharging part including the battery, so that electricity is charged into or discharged from the battery based on the determination.

The invention provides a virtual synchronous generator virtual inertia and virtual damping coefficient adaptive control method, which relates to the technical field of smart grid and intelligent algorithms. Firstly, the inverter based on the virtual synchronous generator is modeled, and the correlation between the output frequency of the inverter and the virtual inertia J and the virtual damping coefficient D is obtained. Then the fitness function of the adaptive control method of virtual inertia J and virtual damping coefficient D based on the improved particle swarm optimization algorithm isdetermined. Finally, the improved particle swarm optimization algorithm is applied to the active power. In the frequency control part, the real-time adaptive control of virtual inertia J and virtualdamping coefficient D is realized in order to minimize the frequency deviation and stabilize the system. The invention provides a virtual synchronous generator virtual inertia and virtual damping coefficient real-time adaptive control method, which fully utilizes the characteristics of the virtual inertia and introduces the virtual damping coefficient, so that the inverter is more stable and the frequency offset is smaller.

The invention relates to a semi-liquid metal electrode energy storage battery, belonging to the field of an energy storage battery, and aiming at solving the problems that the all-liquid metal battery is narrow in battery material selection range and high in running temperature, and has potential safety problem. The semi-liquid metal electrode energy storage battery comprises a shell, a positive pole, electrolyte, a negative pole and a collector, wherein the positive pole is alloy made from one or more of Sn, Sb, Pb, Bi and Te; the negative pole is alloy made from one or more of Li, Na, Mg and Ca; and the electrolyte is a mixture of inorganic salt mixture and ceramic powder. When the semi-liquid metal electrode energy storage battery runs, the positive pole is in a semi-liquid state structure with alloy solid phase distributed in liquid phase, and the electrolyte is melted into semi-liquid state paste, so that the short circuit of the positive pole and the negative pole can be effectively prevented, the energy storage cost is lowered, the working temperature of the battery is reduced, the corrosion speed of the shell is slowed down, the service life of the battery is prolonged, the safety and the reliability of running can be improved, and the semi-liquid metal electrode energy storage battery is suitable for storing energy for new energy power generation grid-connection, frequency modulation and peak-load regulation of an electrical power system as well as smart power grid construction.

The invention discloses an intelligent power grid distributed self-supporting photovoltaic power supply system. The system comprises a central controller, a DC/DC (direct current to direct current) direct chopper circuit, a power dispensable circuit, a DC/AC (direct current to alternating current) bidirectional inverter circuit, an island detection circuit and an energy accumulator, wherein the central controller is used for collecting data in real time, and controlling the DC/DC direct current chopper circuit, the power dispensable circuit, the DC/AC bidirectional inverter circuit, the island detection circuit and the energy accumulator through analytic calculation, so that the seamless switching between synchronization network and off network can be realized, the synchronization mode operation when a public utility grid is normal can be guaranteed, the system can quickly perform the automatic off-line and off-network mode operation when power is down, the remote dispatching acceptability to a public power grid, the power interaction between the system and the power grid, the off-peak power consumption of load and economical operation of the system can be realized, the power supply quality can be improved, the safety and the reliability of loaded power consumption can be guaranteed, the spontaneous self-supply rate of the system can be improved, and the impact of intermittency and fluctuation of photovoltaic power output to the power grid can be reduced.

The invention provides a net load interaction multi-dimensional operation system based on smart power grids. The net load interaction multi-dimensional operation system based on the smart power grids comprises a scheduling master station, a user substation, a communication net mobile terminal and a public network on-line device. The scheduling master station is used for formulating a scheduling policy through energy efficiency analysis and simulation modeling, obtained scheduling policy information is sent to the user substation which is installed on a user side through a transport layer. The user substation carries out self energy management, receives and processes the scheduling policy and then sends the scheduling policy to the communication net mobile terminal. Due to the fact that the communication net mobile terminal controls the user substation, an energy optimizing strategy and inquiry and management of a load power utilization condition and an operation state are achieved. The public network on-line device is used for supplying data and policy information to the scheduling master station through the transport layer and supplying electricity consumption information and service to public network users. The system arranges various terminal devices arranged in a scheduling data network, an information inner network, a public network, a communication network and an electric grid in different networks, interconnection and collaborative operation are carried out on the system to achieve intelligent demand response and construction of a demand side optimizing operation system.

The invention provides a smart grid-oriented power quality monitoring system and a smart grid-oriented power quality monitoring method, which relate to the field of monitoring of power quality. The system comprises a distributed online/offline node detection module, a network communication module, a distributed database module and a comprehensive management module of the power quality monitoring system, wherein the distributed online/offline node detection module comprises a parallel analog-to-digital conversion module and a signal processing module so as to realize distributed detection of asmart grid. In the technical scheme provided by the invention, a plurality of analog-to-digital conversion chips are connected in parallel and an analog signal is sampled, so that high-accuracy sampling rate of signals is increased and the detection requirement on transient power quality signals is met; based on a programmable logic chip, online analysis and data compression are realized by a parallel signal processing algorithm; a distributed database is adopted, so that system reliability is enhanced and system upgrade is promoted; and a global positioning system (GPS) and a communication network module are adopted, so that a distributed network system is realized, and power quality monitoring of the smart gird is supported powerfully.

A smart-grid residential service (SRS) uses connected sensors for integrated service monitoring and control of home appliances via the Internet and an in-home PLC network. Such sensors collect power usage information and include an intelligent master device and any of a communication enabled switch, a ZigBee® enabled switch, and a power control switch, each of which operate over a power line communication (PLC) network. The master collects, compiles, and communicates collected data to the network. The SRS provides infrastructure, i.e. communication, IP-TV, climatic control, etc. monitoring and control, power monitoring and control of connection enabled home appliances, other utility usage monitoring, and security monitoring and control. The SRS also provides billing and collection information for the monitored utilities to utility companies.

Methods and arrangements for determining a network connectivity model. Meters are interfaced with, and periodic synchronous power-related measurements are collected from different meters. Measurement messages are sent to a predetermined location for being consolidated and processed, and a network connectivity model is thereupon determined.