2419 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.

A “Smart Grid Pricer” enables automated balancing of the supply and demand of energy supply and consumption, such as the generation and consumption of electricity between electricity providers and electricity consumers. The Smart Grid Pricer automatically computes and delivers real-time energy pricing information to consumers on behalf of energy retailers (e.g., electricity utilities) to help drive the balance of demand with supply. In various embodiments, real-time pricing is determined by using various probabilistic models to estimate overall consumer demand as a function of factors such as energy price, time of day, region, weather, etc. to compute a price that will result in an energy demand that is closely balanced to the available supply. On the consumer side, various components of the Smart Grid Pricer automatically respond to such pricing information to optimize energy consumption in accordance with a variety of automated and / or user defined rules and preferences.

The present invention discloses a system for transferring electrical power between a grid and at least one vehicle. The vehicle can be Battery Electric Vehicle (BEV), Plug-in Hybrid Electric Vehicle (PHEV) or Fuel Cell Vehicle (FCV). The type of vehicle will be recognized and controlled by the system to support demand response and supply side energy management. Vehicle recognition can be carried out by load signature analysis, power factor measurement or RFID techniques. In an embodiment of the invention, the grid is a Smart Grid. The present invention also discloses a method for facilitating electrical power transfer between the grid and the vehicle.

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 smart device is discussed, which is connected to a smart grid to perform a power saving function. According to an embodiment, the smart device includes a power information receiving unit configured to receive power information through the smart grid network; a power saving control unit configured to perform the power saving function for at least one apparatus based on the power information in a power saving mode; at least one mode switching unit configured to switch from the power saving mode to a manual mode according to a user command; and a manual mode operational time determining unit configured to determine a manual mode operational time for operating the at least one apparatus in the manual mode, the at least one mode switching unit further configured to switch from the manual mode back to the power saving mode, automatically, when the manual mode operational time expires.

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 computer-implemented platform server and method is provided for energy management operations in a Smart Grid environment. The platform server includes an application module configured to operate any of a plurality of Smart Grid Applications. A consumer-side module is configured for bi-directional communication with a plurality of consumer-side intelligent appliances. An Operations Technology (OT) module is configured for communication with an electrical grid Energy Management System (EMS). A translation module is coupled to, and configured to translate data received from, the application, consumer-side, and OT modules, so that the platform is configured to selectively receive, translate, and transmit data from and among any of said application, consumer-side, and OT modules, to facilitate automated energy management operations in a Smart Grid environment.

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 relates to a monitoring system and specifically relates to a plant-level comprehensive supervision platform. The plant-level comprehensive supervision platform comprises a front-end system, a transmission network and a master station system, wherein the front-end system is integrated with subsystems of video monitoring, environmental monitoring, security guard, fire alarm, one-card-through, entrance and exit control, maloperation prevention, gps positioning, intelligent lighting, intelligent control and the like in a thermal power plant; the transmission network functions as a bridge for connecting the front end and the platform; the master station system comprises a local monitoring center, a cloud computing system, an application platform and a whole network operation and maintenance platform. The comprehensive supervision platform is a large online monitoring system integrated with hardware, software and network; the platform software is taken as the core to realize centralized management on all zones; besides, centralized monitoring and uniformed management on the front-end system can be realized at a regulation and control center; in short, the plant-level comprehensive supervision platform escorts the smart grid.

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.

A distributed storage and parallel mining method for state monitoring data includes the steps: defining function service models of a remote substation state monitoring unit and a state monitoring communication front-end processor by means of Web service description language, and exchanging the state monitoring data of electric power equipment in an electric power wide area network environment by a simple object access protocol; storing large-scale state monitoring data redundancy in a distributed file system, creating an index table for a state monitoring data file, inserting the index table into a large-scale structural data table and querying the state monitoring data according to a query request; and generating basic data and multi-dimensional analytical data by extracting, converting and loading to built a data warehouse, and parallelly executing association rules, classification and clustered data mining algorithm by means of MapReduce task decomposition and result summary. The distributed storage and parallel mining method can be used for effectively realizing distributed data exchange, redundant storage and rapid parallel processing for state monitoring information of the mass electric power equipment in an intelligent power network environment.

An electric appliance and a control method thereof are disclosed. The electric appliance includes a communication device connected with a smart grid net to recognize electric power information including power-rate information for each time period, a sensing device configured to sense a predetermined operation mode and an operation state according to the operation mode, and a control device configured to implement power-saving operation based on the received electric power information and the state information sensed by the sensing device.

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.

The invention relates to a comprehensive measuring and controlling device of a high voltage pole tower, mainly comprising a power supply unit, an intelligent bird driving unit, a flashover and lightning stroke location detection unit, a pole tower inclination detection unit, a pole tower meteorological environment detection unit, a pole tower intrusion alarm unit, an transmission line icing parameter detection unit, a central controller, a wireless transceiving device and a thermostat, wherein the power supply unit comprises two parts which are a solar battery and a wind turbine, the wind turbine also fulfills the functions of wind speed and wind direction detection and is an important component part of the pole tower meteorological environment detection unit, the power supply unit stores collected electric quantity into a storage battery through a collection circuit and supplies the power to the device, and the wireless transceiving device sends information collected in situ to a distant monitor center through a GPRS (General Packet Radio Service) or a wireless local network. The invention can fulfill the functions of intelligent bird driving, flashover and lightning stroke location, pole tower inclination detection, meteorological environment detection, intrusion alarm, icing parameter detection and the like and has strong environment adaptability because the wind power and the solar power generation accord with the environment self-powered requirement, thereby enhancing the maintenance free performance of a system. The device is an important component part of an intelligent power grid, accords with the requirement of intelligent power grid establishment of a national power grid and has higher practical value and wide application prospect.

This invention describes a new digital cryptocurrency—named Eleutheria throughout this patent—that can be used within a virtual electricity trading platform to virtually transact real and digital currencies, smart contracts, financial derivatives, and electricity based on Distributed Electricity Generation (“DG”) plants using Distributed Energy Resources (“DERs”) and Energy Storage Systems (“ESS”) by utilizing new technologies including Internet of Things (IoT). Information and Communication Technology (ICT), Artificial Intelligence (AI), and Smart Grid. Eleutheria is composed of four basic and two derivative cryptocurrencies: (i) ψ1(k,t)-Cryptocurrency to transact “Currency Exchange” in a designated country and time; (ii) ψ2(k,t)-Cryptocurrency to transact “Smart Contracts” in a designated country and time; (iii) ψ3(k,t)-Cryptocurrency to transact “Financial Derivatives” in a designated country and time ; (iv) ψ4(k,t)-Cryptocurrency to transact “Electricity” in a designated country and time; (v) ψown(k,t)-Cryptocurrency to transact “Ownership of DG plants” in a designated country and time; (vi) ψeleutheria(k,t)-Cryptocurrency, Eleutheria represents a portfolio of cryptocurrencies, ψi and is expressed as ψeleutheria(k,t)=ψ0+Σβi(k,t)×χi(k,t)×ψi(k,t), where i=1, 2, 3, 4, and own (ownership). Then a risk premium fi(R:k,t) based on a risk assessment matrix of Eleutheria is incorporated to express a cryptocurrency as ψ1(k,t)=ψ0[1+fi(R:k,t)].

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 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.

The invention discloses a multi-objective optimization scheduling method for an electric vehicle charging station including a photovoltaic power generation system, and belongs to the technical field of smart power grids. Power purchase cost minimization and circulating electric quantity minimization of an energy storage system are used as objective functions, and a multi-objective optimization scheduling model of the electric vehicle charging station including the photovoltaic power generation system is built; the decision variable of the scheduling model and the constraint condition of the decision variable are determined; basic data are determined; solution is carried out through a multi-objective optimization algorithm to obtain a non-dominated solution leading surface, and then multiple Pareto optimal solutions are obtained; according to the low comprehensive cost of the main circulating electric quantity of the energy storage system and the power purchase cost, the charging station scheduling optimal scheme is selected at last. The multi-objective optimization scheduling method is suitable for the electric vehicle charging station including the photovoltaic power generation system of various cities with rich light sources; the scheduling scheme of the electric vehicle charging station including the photovoltaic power generation system is optimized; theoretical bases and technical supporting can be provided for the scheduling of the electric vehicle charging station including the photovoltaic power generation system; the operation economical efficiency of the charging station is improved.

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.