293 results about "Load scheduling" patented technology

A method of scheduling a robotic device enables the device to run autonomously based on previously loaded scheduling information. The method consists of a communication device, such as a hand-held remote device, that can directly control the robotic device, or load scheduling information into the robotic device such that it will carry out a defined task at the desired time without the need for further external control. The communication device can also be configured to load a scheduling application program into an existing robotic device, such that the robotic device can receive and implement scheduling information from a user.

The present invention relates to a power system and provides a method for considering the network security constraints of in the operation of economic dispatch of power systems, which comprises the power flow constraint of branches, the static voltage stability constraint and the transient stability constraint, and provides an effective way for coordinating contradiction between the economy and security of power system operation. The security region based security-constrained economic dispatching method comprises the following steps: step 1, calculating the coefficients for the active power static security region, the cut-set voltage stability region and the dynamic security region respectively; step 2: building the models for security region based security-constrained economic dispatch; step 3: solving the unit on / off state optimal sub-problem through Social Evolutionary Programming; step 4: calculating the generation cost, the static voltage stability margin and the transient stability margin in the dispatching period; step 5: obtaining a feasible economic dispatching scheme, otherwise, return to step 3. The invention is mainly applied in load dispatching optimization.

The invention discloses a content distribution network load scheduling method and system. Among them, in the content distribution network load scheduling method, the content distribution network receives the content request sent by the user terminal; the global load balancing unit uses the network information provided by the application layer traffic optimization server to select the local load balancing unit according to the first selection strategy; the local load balancing unit The unit selects an edge cache device according to the second selection strategy; the content distribution network redirects the content request to the edge cache device, and distributes the content to the edge cache device; the edge cache device selects the edge cache device according to the content request The content is distributed to user terminals. Since the network information provided by the application-layer traffic optimization server more accurately reflects information such as network topology and network traffic, the global load balancing unit can direct user requests to the nearest node or area, which facilitates the content distribution network to better provide users with Nearby service.

Disclosed is a comprehensive coordination control method of a wind-solar direct current micro-grid. The wind-solar direct current micro-grid comprises wind driven generator and alternating current (AC) / direct current (DC) / DC converters, photovoltaic array and DC / DC converters, a circuit interrupter, AC / DC load and DC / AC and DC / DC converters, a DC bus, a supercapacitor energy storage system and bi-directional DC / DC module, a storage battery energy storage system and bi-directional DC / DC module, a bi-directional AC / DC converter, a coordination controller, a control network for connecting the coordination controller and the converters and a communication network for connecting the coordination controller and a large power grid power scheduling center, and an operational mode of the wind-solar direct current micro-grid is divided into two categories of a grid-connected mode and an island mode. Stable operation of the wind-solar direct current micro-grid under the grid-connected mode and the island mode is achieved by comprehensively using power scheduling, load scheduling and energy storage device scheduling.

The present invention provides a method, system and storage medium for load dispatch optimization for residential microgrid. The method includes collecting environmental data and time data of residential microgrid in preset future time period; obtaining power load data of residential microgrid in future time period by inputting environmental data and time data into pre-trained load forecasting model; obtaining photovoltaic output power data of residential microgrid in future time period by inputting environmental data and time data into pre-trained photovoltaic output power forecasting model; determining objective function and corresponding constraint condition of residential microgrid in future time period, where optimization objective of objective function is to minimize total cost of residential microgrid; obtaining load dispatch scheme of residential microgrid in future time period by solving objective function with particle swarm algorithm. The invention can provide load dispatch scheme suitable for current microgrid and reduce operating cost of residential microgrid.

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 provides a multi-satellite earth-observation task scheduling and planning method and device.The method comprises the steps that an observation task and satellite resource data are read; the observation task is partitioned according to the satellite resource data, and an observation meta-task set is obtained; task planning is conducted on the observation meta-task set through an evolutionary algorithm, and a planning result is obtained; the planning result is decoded, and an observation sequence is obtained; in this way, when multiple satellites observe the earth, the characteristics such as intelligence and concurrency of the evolutionary algorithm are fully utilized, and the task scheduling problem of multiple observation satellites which need to work cooperatively is solved; a dynamic task planning method based on the evolutionary algorithm is utilized, a reasonable load scheduling scheme is made for an in-orbit operation satellite group, resource allocation of a satellite system is optimized, and satellite system resources are utilized fully and reasonably.

The invention discloses an aggregation air conditioning load scheduling method based on temperature set value adjustment. The method comprises the following steps: (1) acquiring the temperature set value and outdoor temperature prediction value of each air conditioner aggregation group through a bilateral information channel; (2) adjusting and estimating the load increase / decrease scheme of each air conditioner aggregation group based on the temperature set values; (3) acquiring a load increase / decrease target issued by a superior scheduling department; (4) establishing an aggregation air conditioner scheduling decision model, and solving; (5) issuing an air conditioner control command through the bilateral information channel. By adopting the aggregation air conditioning load scheduling method, load increase / decrease service can be provided for electric power system scheduling on the premise of not influencing the user comfort by using air conditioning equipment of a user, so that the user turns from an electric energy user to a participant of an electric power system and participates in running of the electric power system; meanwhile, by using the method, technical guidance can be provided for the innovation of the scheduling mode of a power grid scheduling department.

An apparatus, system, and method efficiently manage reverse link communication in a communication system having geographically distributed base stations. A base station functioning to at least one mobile station as a non-serving active base station estimates an expected coupled load due to the at least one mobile based on a previous total coupled load. The base station determines a total available capacity based on the difference between the total capacity of the base station and the estimated expected coupled load. The base station allocates reverse link resources to other mobile stations served by the base station so as not to exceed the total available capacity. Since the allocation of reverse link channels resources are controlled directly by the base station, delays due to communications with a central controller are eliminated. As a result, adverse effects of load scheduling based on obsolete reverse channel information are minimized.

An apparatus, system, and method efficiently manage reverse link communication in a communication system having geographically distributed base stations. Coupled load information is exchanged between base stations allowing a base station to determine an appropriate allocation of reverse link channel resources to mobile stations served by the base station. Since the allocation of reverse link channels resources are controlled directly by the base station, delays due to communications with a central controller are eliminated. As a result, adverse effects of load scheduling based on obsolete reverse channel information are minimized.

The invention discloses a process scheduling method for heterogeneous multi-core system. The method is implemented in the way that all the processes share the same queue for ready processes. Each process has a flag to indicate that the process is running in the main core or assistant core. The operating system in the method uses client-management structure. The core of the operating system runs in the main process, other processes deal with a variety of applications that only can run on it. When applications request the operating system services, the request would be passed on to the procedure on the main operating system. The process scheduler uses a split load scheduling algorithm and the processor allocation algorithm to achieving a reasonable process scheduling.

The invention relates to an EV charging load temporal-spatial distribution prediction method based on real-time traffic and temperature, and belongs to the field of intelligent power grids. The method comprises the steps that S1, various electric vehicles are classified, and the space transferring and charging characteristics of the electric vehicles are analyzed; S2, an urban traffic network is subjected to abstract simulation by utilizing the trip chain theory and a graph theory method; S3, time-space shift models of the electric vehicles are built through Monte-Carlo simulation and a random shortest circuit method based on the Markovian decision; S4, a temperature and traffic energy consumption model is established according to actual test data of the electric vehicles. The method has universality, is suitable for regional distribution network analysis, can conveniently and effectively calculate the temporal-spatial distribution situation in an urban area and can predict charging load changes when the traffic condition and the temperature condition change, and prediction results provide a basis for research of charging station planning, load scheduling and the like.

The transfer and usage of a modulated carrier signal within a power signal on a power line communication system is described. The modulated signal comprises metadata which is transmitted at a different frequency than the transmitted power. The metadata, including such elements as energy costs, providers, renewable source status and originating location, may be used by consumers to make subsequent purchasing decisions. Additionally, the energy costs of any given computer node commonly distributed in a grid architecture may be collected by a workload dispatcher in order to make more accurate cost and energy source based dispatch decisions. The consumer may be able to communicate directly back to the power provider. The use of computer-readable medium and product containing instructions that are implemented on a computer is also covered. Finally, the invention may be deployed on behalf of the consumer by a third party service provider.

The invention discloses a power load short-term prediction method, model, device and system, and the method comprises the steps of receiving the load data, and complementing the missing data of the load data; receiving the influence factor data which comprises the air temperature data, the holiday data and the industry category data to which the power consumers belong, and quantifying the influence factors by adopting a quantification method corresponding to the load data; processing the historical load data by adopting the wavelet decomposition, carrying out the multi-scale decomposition to obtain four historical load reconstruction data sequences, and respectively carrying out correlation measurement on the four historical load reconstruction data sequences and the influence factor datato obtain a correlation characteristic data set of each reconstruction load characteristic and the influence factor; and carrying out preliminary prediction on the four sequences obtained according tothe load data by adopting a cubic exponential smoothing algorithm, further optimizing a preliminary prediction result, and finally obtaining a power short-term load prediction value as the power loadscheduling reference data.

The invention discloses an integrated energy system optimization scheduling method considering a carbon trading mechanism and a flexible load. The technical solution of the invention comprises a stepof modeling a coupling link of an integrated energy system based on an energy center model and outputting electric energy, heat energy and natural gas to supply load demand, wherein input energies areelectric energy and natural gas, a step of introducing the carbon trading mechanism into an integrated energy system scheduling model, comprehensively considering the carbon emissions of an entire energy supply chain, and establishing an over-discharge penalty mechanism, a step of applying the flexible load to the low-carbon economic operation of the integrated energy system, and a step of introducing a power system network constraint, a natural gas system network constraint and an energy center internal constraint on the above basis and establishing an integrated energy system low-carbon economic scheduling model with the goal of carbon trading cost, flexible load scheduling cost and system energy cost. According to the method, the consumption of renewable energy can be promoted, the system energy consumption and carbon emission are reduced, and the comprehensive benefits of the system are significantly improved.

The invention discloses a simulation cloud platform load scheduling system and method based on user feature prediction. The system comprises a cluster computing node resource collection module, a cluster computing node filtering module and a cluster load balancing scheduling module. The cluster computing node resource collection module is used for continuously summarizing each computing node in the cluster in real time; The cluster computing node filtering module is used for performing statistical analysis on the data collected in the cluster computing node resource collection module to realize historical data-based user feature prediction; And the cluster load balancing scheduling module selects the node with the maximum characteristic weight value as a user container host machine according to the current real-time resource use condition of each node acquired by the cluster computing node resource collection module to complete resource scheduling.

The invention discloses a dispatching method for power network load with extensive participation of air conditioner loads of large-scale institutional buildings. The dispatching method comprises the following steps: firstly, performing short-time load prediction on a regional network supply load and the air conditioner load of each institutional building in a region, and counting the industry type of each institutional building and the type of air-conditioning equipment in each institutional building; determining a regulation and control scene that the air conditioner loads of the institutional buildings participate in the dispatching of the regional network supply load, and selecting a combination mode and a control strategy that the air conditioner load of each institutional building participates in the dispatching of the power network load; calculating the controllable capacity of the air conditioner load, participating in the dispatching of the power network load, of each institutional building in the region, and determining a regulation and control target of the air conditioner loads of the large-scale institutional buildings in the region; calculating the optimal combined regulation and control capacity of the air conditioner loads, participating in the dispatching of the regional power network load, of all the institutional buildings in the region. The dispatching method disclosed by the invention is suitable for regulating and controlling network supply loads for regions with higher electricity consumption for the air conditioner loads of the institutional buildings in the national range in summer and contributes to the development of a Chinese power network load dispatching technology; a regional power network load curve can be improved.

The invention provides a load balancing method for content monitoring of mobile service and also provides a load balancing structure for obtaining a data stream in a centralized way and processing the data stream in parallel according to the characteristics of the data stream and the content monitoring. According to the differences between different services in terms of flow characteristics, the load balancing method combining a static load scheduling and a self-adaptive load scheduling is adopted to process data packages efficiently; and the method considers special situations including abnormality of processing nodes, concurrent sessions and the like at the same time and ensures a stable and efficient operation of concurrent processing nodes. The load balancing method for content monitoring of mobile service can meet the functional and performance requirements for load balancing in the application of the content monitoring of the mobile service.

The invention discloses a global network load balancing system, device and method, and relates to the technical field of cloud computing. The system employs load balancing devices which are disposed in a concentrated manner, data flow characteristics of all network devices and data links in the network are sensed by using the concentrated control capability provided by a network controller, the controller is driven to configure network transmission equipment under scheduling of a load balancing algorithm, and the global flow load in the network is balanced. According to the system, device and method, the load balancing devices are disposed in the concentrated manner, so that unified load scheduling is carried out on the data flows in the whole network, and it is not required to dispose an independent load balancing device for each server cluster; and at the same time, the concentrated control capability of the network controller is fully utilized, data flows are scheduling based on data link information of the whole network, and the load balancing effect is optimized.

The invention provides a dynamic feedback weighted integration load scheduling method of a cloud computing operating system. Based on a host machine automatic selection method of weighted integration load, the method conducts dynamic feedback scheduling, aimed at an internal memory, a central processing unit (CPU) and network comprehensive factors of a server, the method conducts scheduling for an alarming node an a manual operation optimizing node or automatically conducts scheduling for the system, and the system comprises a host machine selection method based on weighted integration load and the dynamic feedback weighted integration load scheduling method. The host machine selection method based on the weighted integration load refers to automatically selecting the host machine of a virtual machine according to an internal memory, a CPU, network load conditions and respective important degrees of a physical machine, the dynamic feedback weighted integration load scheduling method refers to utilizing the host machine based on the weighted integration load to choose a method and a tragedy and a method of automatically conducting scheduling according to dynamic changes of load in a scheduling area, a host machine selection method based on the weighted integration load is utilized to automatically conduct scheduling of resources according to the dynamic changes of the load of the scheduling area, so that full utilization, and high usability and stability of resources of the scheduling area are ensured.

The invention discloses an electric power demand side responding method with multiple time scales. First of all, through advanced measurement and an intelligent algorithm, parameters are detected and analyzed, wherein the parameters include a load group electricity utilization correlation degree, time-of-use electricity prices and a photovoltaic power generation output; and then based on the detected parameters, at the multiple time scales, for load groups including smart home appliances and electric car loads, prevention control strategies and emergency control strategies are established; real-time demand response measures and current electricity load scheduling measures are respectively established to achieve the local power consumption of photovoltaic power consumption. The electric power demand lateral responding method of the invention realizes peak regulation demands and consumption of a photovoltaic power of a power grid on the basis of a plurality of parameters.

The invention provides a method and apparatus for balancing a load of a server. A source port in a replay data packet processed by a real server is changed to a port of a load scheduling server by virtue of an open flow table, so that the problem that the port of the load scheduling server is inconsistent with the port of the real server can be simply solved. The replay data packet is directly transmitted to a client without the load scheduling server, so that the device load is reduced, and a large amount of data throughput can be carried out with high performance.

A power distribution management system is disclosed for optimal power distribution for a predetermined class of loads and other loads. The power distribution management system include a substation for distributing power supply to a load network, where the load network includes the predetermined class of loads and other loads and the substation includes a plurality of feeders. The power distribution management system includes an optimizer for generating an optimal load schedule for a control period for the predetermined class of loads. The power distribution management system also includes a communication interface for communicating between the plurality of individual loads and / or the optimizer.

The invention provides a load optimization scheduling method and system for a residential micro-grid, and a storage medium. The method comprises the following steps of acquiring environmental data andtime data of the residential micro-grid in a preset future time period; inputting the environmental data and the time data into a pre-trained load prediction model in order to obtain electrical loaddata of the residential micro-grid in the future time period; inputting the environmental data and the time data into a pre-trained photovoltaic output power prediction model in order to obtain photovoltaic output power data of the residential micro-grid in the future time period; determining an objective function of the residential micro-grid in the future time period and a corresponding constraint condition, wherein the optimization objective of the objective function is that the total cost of the residential micro-grid is minimum; and solving the objective function through a particle swarmalgorithm in order to obtain a load scheduling scheme of the residential micro-grid in the future time period. The invention provides the load scheduling scheme suitable for the current micro-grid, and the operating cost of the residential micro-grid is reduced.

The invention provides a self-adaptive I / O (Input / Output) scheduling method of a multi-control storage system. The self-adaptive I / O scheduling method of the multi-control storage system has the advantages of being capable of achieving load balance of a multiple controller architecture and among controllers; avoiding risk and performance choke points caused by single controller failure; supporting a plurality of host connecting interfaces; supporting an ISCSI (Internet Small Computer System Interface), an FC (Fibre Channel), an InfiniBand and 10 gigabit network connection; being capable of providing high bandwidth IB (InfiniBand) and the 10 gigabit network connection for users at the same time; and meeting the differentiation requirements of customers for high bandwidth and high performance. The invention relates to I / O scheduling of the multi-control storage system and provides the I / O scheduling method among multiple controllers. When the multi-control storage system accepts an I / O request from an application layer, the self-adaptive I / O scheduling method of the multi-control storage system can be utilized to schedule the I / O request to the multiple controllers to perform simultaneous concurrent execution, not only allocates unallocated I / O requests to low load controllers, but also reschedules I / O requests to lower load controllers from overload controllers, so that the load state of every controller in a system is improved, I / O load scheduling and balance on multi-control nodes are achieved, potentials of equipment are fully scheduled, and the performance of the system is improved.

The invention discloses a renewable energy based data center load scheduling method and device. In the method, a server cluster is divided into two parts, namely a renewable energy driven cluster and a utility grid driven cluster, according to power-driven characteristics; a data center load transfer controller monitors utilization rates of all servers in advance, then determines load transfer number between the two clusters by combining a dynamic supply condition of renewable energy and adopts a selective tracking strategy to random fluctuation of the renewable energy in the transfer process, intelligent smoothness is performed on load fluctuation, and accordingly scheduling load of a data center is reduced, downtime of the servers is reduced, and high energy utilization rate is kept without depending on a large-scale battery pack.

The invention discloses a visual application arrangement system and method applied to a mixed cloud environment. The system comprises a software deployment subsystem. The software deployment subsystemcomprises a software visual arrangement framework module, a script compiler, a software deployment script executor and a software directory service module, wherein the software visual arrangement framework module is used for generating a complete software deployment script to serve as an output and providing the script for a background to execute actual deployment; and the script compiler is usedfor converting a visual process into a specific executable script of the background and generating a configuration parameter to serve as an output. Self-defined software arrangement logic is supported; a self-defined load scheduling policy is supported; self-defined visual monitoring alarming is supported; application deployment and resource occupation states in a mixed cloud platform can be displayed in real time; an application is enabled to have a capability of providing services for outside simply, quickly and automatically; and a resource scheduling state is subjected to multidimensionaldisplay in a visual mode.

The invention discloses a multi-energy online control system for data centers under dynamic cloud service requests. The multi-energy online control system for data centers under dynamic cloud service requests comprises a system status monitoring module, a load scheduling module and a multi-source energy supply system management module, wherein the load scheduling module comprises a delay-sensitive request scheduling sub-module and a delay tolerant job scheduling sub-module. The system status monitoring module is used for receiving service requests from a user's cloud service every once in a while, determining whether the cloud service request is a delay-sensitive request or a delay tolerant job, and sending the cloud service request belonging to the delay-sensitive request to the delay-sensitive request scheduling sub-module of the load scheduling module while sending the cloud service request belonging to the delay tolerant job to the delay tolerant job scheduling sub-module of the load scheduling module. The multi-energy online control system for data centers under dynamic cloud service requests has the advantages that long-term operating cost of data center energy supply system can be optimized, no system data is needed to be obtained in advance, and no steady state distribution is needed to be assumed.

The invention discloses a method for electricity-saving potential estimation on load involved demand response and load grouping aggregation of variable-frequency air conditioners. Based on load modeling of the variable-frequency air conditioners, an electricity-saving potential estimation model of the load involved demand response of the variable-frequency air conditioners is established according to the comfortable degree of human bodies, and a reference is provided for a variable-frequency air conditioner load dispatching objective formulated by the power grid dispatching department. Meanwhile, the corresponding method for the load grouping aggregation of an air conditioner group is provided, accordingly the total load of the air conditioner group can be scientifically and effectively kept as the dispatching objective stably, and finally the energy-saving and emission-reduction work of resources on the demand side is promoted.