740 results about "Smart power" patented technology

A method is provided for use in a mobile communication terminal configured to support a plurality of applications, wherein each application is executed by performing one or more tasks. The method includes, in response to a scheduling request from an application, obtaining an indication of power supply condition at a requested run-time of at least one of the tasks. The method further includes obtaining a prediction of a rate of energy usage by the task at the requested run-time, estimating, from the predicted rate of energy usage, a total amount of energy needed to complete the task, and making a scheduling decision for the task. The scheduling decision comprises making a selection from a group of two or more alternative dispositions for the task. The selection is made according to a criterion that relates the run-time power-supply condition to the predicted rate of energy usage by the task and to the estimate of total energy needed to complete the task.

Systems and methods for providing smart power management to one or more external interfaces of an information handling system that is capable of acting as a host for charging and / or otherwise powering one or more external devices via external interface / s that have both data exchange and power transfer capability, such as USB or Firewire interfaces. A host-based power source may be provided that is capable of managing power when a host information handling system is in inactive, and a user-based methodology may be implemented to selectively provide power to one or more external interfaces of a host information handling system based on user need or desire for access to external interface power, even when the host information handling system is inactive.

The invention discloses a planning big data management and control system of a smart power distribution network and a method. The system comprises that a data layer constructs a global power network planning model; a basic data dictionary containing power network devices, graph standards and power network operation information is built; an application layer carries out statistic analysis and real time load actual measurement analysis to the power network devices and power network operation states in a set region; automatic filling of power network load data graphs, intelligent operation of planning data, intelligent verification of the planning data and intelligent statistics and summary of the planning data are realized; a service layer selects planning power network schemes; a display layer carries out centralized display, share and information issue to the planning and design achievement. According to the system and the method of the invention, through taking multi-source massive data such as basic geographic information, power network space and attribute thematic information and power network operation real time information as cores, planning and design data resources in the system are effectively integrated, a power network planning and design integrated information platform is built, and power network planning and design information-based foundation is tamped.

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.

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.

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.

A charge pump based voltage regulator with smart power regulation employs an architecture that requires that the charge pump current be a linear combination of the load current and a clamp current with a possible offset current. The smart power regulation is based on automatic load activity (or load current) detection using the clamp current. The clamp current and the filtered charge pump current are compared with one another; and the charge pump current is then adjusted accordingly by stepping the frequency of the clock driving the charge pump, optimizing the power consumption of the entire voltage regulator with varying load activity. The negative voltage regulation is independent of the integrated circuit positive supply voltage. In one embodiment, a derivative of the desired output voltage is compared with a reference voltage to generate a clamp current control signal. In another embodiment, the reference voltage is solely positive.

A device including a controllable semiconductor, sensor, and controller is provided. The controllable semiconductor is associated with a first operating parameter and a second operating parameter, wherein at least the first operating parameter is controllable. The sensor is in communication with the controllable semiconductor device and acquires data relating to the second operating parameter of the controllable semiconductor device. The controller is in communication with the controllable semiconductor device and the sensor, and the controller is configured to access device data associated with the controllable semiconductor, control the first operating parameter of the controllable semiconductor, and receive data from the first sensor relating to the second operating parameter. The controller determines a first predicted value dependent on the device data, compares the data relating to the second operating parameter with the first predicted value, and, if a first condition is detected based on this comparison, dynamically modifies the first operating parameter.

The invention relates to a handling method in the field of electrical power systems, and particularly relates to a graded handling method for faults of centralized operation and maintenance systems. A centralized operation and maintenance system monitors nationally dispatched, individually dispatched and provincially dispatched smart power grids to dispatch data of technical support system working condition type, power grid basic data type, safeguard system type and environment and ancillary equipment type. Aiming at large amounts of data monitored by provincial grid dispatching centers of all levels, for improving the efficiency of fault handling, an operation and maintenance center defines the response times required by removing faults of different levels through grading the faults, and starts handling plans for faults of corresponding levels, so that the real-time handling operation of faults of each level is realized in the operation and maintenance center, thereby reducing the operation and maintenance pressure of a provincial grid dispatching center of each level, and improving the reliability and security of system operation.

The invention relates to a comprehensive evaluation method of smart power grid construction based on principal component cluster analysis, which is technologically characterized by comprising the steps that at the step 1, a generally approved comprehensive evaluation index system of the smart power grid construction is established or selected; at the step 2, index data is processed by standardization; at the step 3, an index data correlation coefficient matrix is established, an eigenvalue and an eigenvector of the matrix are solved, and a principal component expression is generated; at the step 4, a principal component variance contribution rate and a cumulative variance contribution rate are calculated, and quantity of principal components is determined; at the step 5, a comprehensive principal component evaluation index function is established, and a comprehensive evaluation result of a development and construction level of a smart power grid is given; and at the step 6, a principal component factor load matrix is established, and the cluster analysis is carried out to comprehensive evaluation indexes of the smart power grid. The comprehensive evaluation method of the smart power grid construction based on the principal component cluster analysis provided by the invention combines principal component analysis and the cluster analysis in order to simplify and reconstruct the evaluation index system of the smart power grid construction and provides suggestions for the smart power grid construction is laggard areas.

A rechargeable multipurpose power management system has a power management system that can include a plurality of power management units. The power management units sources can be individually activated and deactivated (I think there might be a confusion between power sources and the system. Everything is within one box itself (the image that I sent you). Each unit is a power management system that can be connected to a variety of INPUT power sources. Several power management units can be combined together to create a stack of them but each one can operated individually as well). and each one is configured to be coupled to a variety of inputs. A rechargeable battery is coupled to the (One rechargeable battery is attached to only one power management units). A charging controller provides regulated charging to the battery. A plurality of convertors are (do we need to specify here what kind of converters, like DC-DC converters) coupled to the battery and provide output voltages that are accessible individually. A plurality of sensing circuits sense external signals and provide selective activation or deactivation of the system.

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 an encryption and decryption functions based field service terminal, which comprises a control processing unit, a main-station communication unit, an equipment communication unit, a power supply unit, an input and output unit, a safety unit and a smart card reading and writing unit. The control processing unit is respectively connected with the control processing unit, the main-station communication unit, the equipment communication unit, the power supply unit, the input and output unit, the safety unit and the smart card reading and writing unit. The safety unit is used for completing identity authentication and encryption and decryption of data information when the field service terminal is in communication with a main station and power energy meters, and the smart card reading and writing unit is used for field card writing and recharging of local charge-control smart power energy meters. The encryption and decryption function based field service terminal has the advantages that field service efficiency and quality are improved; the safety unit is added, so that transmission data of the field service terminal cannot be distorted, data confidentiality and integrity cannot be damaged and identities of users cannot be used falsely; and the requirement of power-utilization information acquiring system construction for power consumers can be met basically.

The invention discloses a smart power plant integrated monitoring and management system which comprises a smart management and control platform, a multi-energy flow IEMS network switch and a factory-level DCS; a smart management and control platform comprises a 10 Gigabit network switch, a server and a smart management and control platform administrator station; the server comprises a redundant real-time data server, a redundant non-real-time database server, a smart business decision-making application server, an energy trade transition application server and other software application servers; the server and the smart management and control platform administrator station are connected with the 10 Gigabit network switch; the factory-level DCS has two ways to upload externally; and the multi-energy flow IEMS network switch has two ways of upward interfaces. The system has the benefits that: a linkage application case after intelligent subsystems are accessed is planned, so that the design integrity of the smart power plant is stronger; combined with a DCS control system, the extension of automatic control range to the automatic control of the whole process operation is realized; and the smart power plant is endowed with the ability to integrate with the overall design of upper-level smart parks and smart cities.

The invention relates to a satellite time synchronization based electric power line fault location system and a method and belongs to the technical field of smart power grid distribution automation. The system comprises a collecting indicator, collecting controllers, a master station and bus voltage collecting devices, the collecting indicator, the collecting controllers and the bus voltage collecting device are all provided with temperature compensation clock chips, and the master station and the collecting devices of the master station are provided with respective satellite time synchronization modules or satellite time synchronization devices to guarantee that data collected by parts of the system contain accurate time information. By means of a method that the collecting indicator synchronically collects three-phase current of a line and transmits the three-phase current to the collecting controllers by means of wireless communication for math composition of line zero-sequence current, the technical problem of collection of the line zero-sequence current is solved; by means of a distribution and centralization combined line single phase ground fault judgment method which mainly relies on the collecting controllers supplemented by the main station and other devices, data communication flows among the parts of the system are reduced, and data communication between the main station and the collecting controllers is reduced; and by means of a method which combines mobile wireless radio multicast services and point-to-point communication, communication efficiencies and fault location efficiencies of the parts of the system are improved.

The invention discloses a smart power grid master station and substation depth anti-misoperation system implementation method. The method is characterized by including on the basis of a four stage depth anti-misoperation system comprising an adjusting master station layer, a substation control layer, a spacing layer detecting and controlling device and a process layer anti mistake locking unit, adopting a CGW communication gateway proxy mechanism, allowing a substation data communication gateway computer to serve as a transfer station to adjust the communication between an anti-misoperation server and a substation anti-misoperation server, and performing single equipment and sequential control anti misoperation control locking service and communication. The method has the advantages that the integration of master station and substation remote control anti-misoperation system is realized, the CGW communication gateway proxy mechanism is adopted by the motion system of the substation control layer, the station anti-misoperation information including substation five stage prevention net gate and temporary grounded wire state is submitted completely, and the anti-misoperation accuracy is improved; the smart high-level application relating to control operation is established on the basis of the anti-misoperation mechanism; the substation anti-misoperation server uniforms the only management equipment operation right and unlocks uniformly.

An article having a conductive body, a magnetic diverter, and a communication device is described. The magnetic diverter is positioned on an outer surface of the conductive body. The magnetic diverter covers a substantial portion of the outer surface of the conductive body. A communication device is positioned on the outer surface of the diverter or may be recessed therein. The communication device is capable of signal coupling with a reader.

The present invention discloses a smart power distribution system and a method to progressively dispatch the power using the same. The method is characterized in that it is based on data collection and data analysis to develop a dispatch scheme. The method steps are all automatic and self-adaptive. The method can be executed in an unattended manner to automatically correlate real time data vs. historical data, planning data vs. operation data. Based on a long cycle periodical variation and short-term random variations in load, and taking into account the temporary load power supply and maintenance needs, a multi-stage progressive multiple time scales optimal dispatching method is developed, including the distributed power, micro-grids, energy storage devices, electric vehicles charge-discharge facility and other elements of the Intelligent power distribution systems, to achieve coordinated operation of the network, power, load resources to ensure a continuous safe and reliable smart power distribution system operated at high quality and efficiency.

The invention relates to the technical field of smart power grids, in particular to a transformer substation configuration file control method and system. The transformer substation configuration file control method comprises the following steps of receiving a transformer substation configuration file; generating elements corresponding to a transformer substation device configured by the transformer substation configuration file; receiving the edition on the elements, and generating a warning condition of the element description; and transmitting the warning condition to an intelligent transformer station monitoring system, wherein the warning condition is used for outputting warning information when the intelligent transformer station monitoring system monitors in real time that power equipment of a transformer substation satisfies the warning condition. Due to the adoption of the transformer substation configuration file control method and system, an effective secondary data management tool can be provided for the operation and maintenance, the designed configuration information of the intelligent transformer substation can be effectively utilized, inconsistency for asynchronously operating a uniform file in multiple links can be avoided, convenience for managing the configuration file can be realized, and the working efficiency of operation and maintenance personnel can be increased.

The invention discloses an electric power transmission line and disaster geographic information system. The electric power transmission line and disaster geographic information system comprises an electronic map part which is used for generating a basic geographic information layer and comprises a satellite imagery layer, a disastrous meteorological environment map information part comprising lightning, pollution area, wind area, ice area, bird trouble geographic information layers, a data base part for building and maintaining electric power transmission line information, electric power transmission line tower information, management unit information and tower dynamic operation information and a line corridor information part. For different line management line corridor information, different power transmission corridor parameters are set dynamically according to terrain environment of lines, and therefore evaluation of influence of various disastrous meteorological environment parameters on a power grid is refined. The electric power transmission line and disaster geographic information system can effectively support planning, design and stable and deep construction work development of a smart power grid and improve comprehensive monitoring and management efficiency of operating conditions of power transmission and transformation equipment.

Novel tools and techniques that can allow utility customers, utility providers, and / or other parties to more effectively monitor utility usage at a customer premises utilizing utility monitoring devices, systems, and methods. A utility monitoring device might provide real time (or non-real time) data regarding utility usage for one or more different types of utilities, such as natural gas, electricity, and / or water, to name but a few examples. In some cases, a utility monitoring device can receive and / or process usage data directly from a utility meter (and / or might be incorporated within a utility meter). In other cases, such a device can receive and / or process data from smart appliances, smart power distribution devices, etc. Utility monitoring devices in accordance with various embodiments can send and / or receive using a variety of techniques and / or media, including without limitation via a broadband network, via a wireless network, and / or the like.

The invention discloses a photovoltaic power generation access power distribution network scheme design and analysis assessment auxiliary system which comprises a basic data acquisition module, a data processing module, a photovoltaic access power distribution network scheme design module, a photovoltaic access power distribution network scheme analysis assessment module, an optimization planning module provided with a photovoltaic active power distribution network, an analysis assessment module provided with a photovoltaic active power distribution network and a system built-in parameter and case library. The photovoltaic power generation access power distribution network scheme design and analysis assessment auxiliary system can meet the demands for photovoltaic access power distribution network scheme design and analysis assessment and the analysis assessment of the photovoltaic active power distribution network, is compatible with features of a national power distribution network information system and data and supports the timing sequence analysis demand. In addition, a convenient tool is provided for reasonable utilization of photovoltaic resources and effective absorption of photovoltaic power generation, and an analysis supporting tool is provided for development and transition from a traditional power distribution network to a future active smart power distribution network.

The invention discloses an implementation method of a smart power grid resource real-time operating state three-dimensional visualization display system. The implementation method comprises the following steps of adopting a 360-degree panorama model at the designated position to visually display real environment of field power grid resources, wherein the real environment can be displayed through dynamic flight of a three-dimensional mode; clicking a three-dimensional line and a device model to check standing book material information in a production management system when browsing a three-dimensional map; obtaining current real-time operating data of a power device and acquiring real-time data for displaying an operating state of a power transmission power grid and an operating state of a power distribution power grid. The implementation method uses remote sensing data, topographic data and the data of the 3D model as a core, fully meets the service management demand, achieves interactive bird's-eye view based on three dimensional terrain landscape, rotational flight displaying at any angle and in any orientation, stepless zooming and quick seamless browsing, achieve management, inquiry, analysis and other service of the power grid resources in the three-dimensional environment and provides a new management means for resource management of power enterprises.

A WLAN client receives a plurality of beacons that include timestamp values that indicate when the beacons were sent by an access point (AP). The WLAN client calculates a beacon drift value for each of the plurality of received beacons in response to the timestamp values and known physical layer characteristics associated with the WLAN client. The WLAN client selects one of the calculated beacon drift values that represents a minimum beacon drift, and uses this selected beacon drift value (i.e., golden reference target beacon transmission time (RTBTT) estimate) to control the wakeup timing of the WLAN client. The golden RTBTT estimate is updated if a subsequently received beacon exhibits a shorter beacon drift value. If the wakeup wait period of the WLAN client exceeds a predetermined threshold for each of a plurality of received beacons, the golden RTBTT is recalculated to account for the associated increased beacon drift.

The invention relates to the field of power systems, in particular to a monitoring method based on a centralized operation and maintenance system of a dispatching data network. The method can realize the centralized operation and maintenance work of national dispatching, regional dispatching and provincial smart power grid dispatching technology support systems for the first time locally in an operation and maintenance center through a mode of remote login by accessing the dispatching data network. The centralized operation and maintenance system is mainly in charge of collecting the system operation state of national dispatching, regional dispatching and provincial dispatching, the operation state of safety protection equipment and power grid operation state. Various types of monitored data are subjected to subtotal and comprehensive analysis to realize the unified monitoring and fault warning of the operation working states of provincial level and above smart power grid dispatching technology support systems , the operation state of safety protection equipment and power grid operation state, and professional monitoring software is developed to carry out unified management on the daily maintenance work of an operation and maintenance center.

The invention discloses a massive real-time data load simulation testing cloud platform for a smart power grid, and a testing method of the cloud platform. The cloud platform comprises a virtualization unit, a central controller module and agent modules, wherein the virtualization unit virtualizes a plurality of virtual machines; the central controller module is arranged in the virtual machine to form a central controller; the agent modules are stored in the central controller in forms of virtual machine mirror image documents, and activated to form agency servers after the central controller is applied to start the virtual machines; the central controller applies the cloud platform for enough virtual machines according to testing plans in different scales; and agency server simulation monitoring devices send massive monitoring data to the servers, and test the performance of the servers. According to the cloud platform and the testing method, powerful computing resources of cloud computing are depended on; the massive virtual machines are applied from the cloud platform; the massive data of the smart power grid is tested by the agency server simulation monitoring devices; and the cloud platform has the benefits of simple structure, low input cost, convenience in use, wide testing range and good testing effect.

The present invention discloses a low-voltage area KFCM-SVR reasonable line loss prediction method. The method comprises the following steps: 1) presorting data samples twice after data screening; 2) clustering six types of data by using fuzzy kernel clustering to obtain a plurality of small types; 3 ) establishing a regression fitting model by virtue of a least squares support vector machine (LS-SVR); 4 ) calculating a residual error confidence interval limit value; 5) classifying to-be-predicted data into each small types according to a Euclidean distance principle; 6) after classification, inputting the to-be-predicted data into each respective corresponding LS-SVR model, and calculating to obtain a prediction residual error; and 7) comparing the prediction residual error with the residual error confidence interval limit value to provide a conclusion. In the low-voltage area KFCM-SVR reasonable line loss prediction method disclosed by the present invention, an algorithm has certain reasonableness under a big data condition, and a computed result of the algorithm can provide relatively reliable guidance for area line loss management of an electric power department, and provide a new idea for reasonable utilization and mining of big data in the current smart power network.