401 results about "Load Shedding" patented technology

The invention relates to the technical field of load balancing optimization, in particular to an intelligent computing center load balancing and energy-saving optimization method and system, and the method comprises the following steps: obtaining task execution duration and resource state data, calculating a multi-dimensional index, carrying out the weighted analysis, dynamically outputting a regulation and control scheme, and achieving the load balancing and energy-saving optimization of an intelligent computing center. According to the method, response time comparison based on a service level protocol is introduced, a task execution duration distribution structure is clearly recognized, the abnormal task recognition precision is improved, and the judgment accuracy of an overload trend is enhanced by comparing resource utilization rate changes of adjacent periods in the aspect of node state monitoring; in the task allocation process, the available memory of the node and the resource adaptation degree are combined, real performance load performance is obtained through energy efficiency and throughput data cross analysis, task allocation better conforms to the actual energy consumption level, the resource waste risk is effectively reduced, the response flexibility of a scheduling strategy to system load changes is enhanced, and the task allocation efficiency is improved. And the task execution efficiency and the energy efficiency distribution accuracy are improved.

The present application describes a system and method for utilizing a tunnel in a networking routing protocol to provide a network segment access to additional servers when certain load balancing trigger events are detected.

The invention relates to the field of intelligent power grid and energy management, and discloses a park distribution box peak-valley scheduling monitoring method, system and device and a storage medium, and the method comprises the following steps: collecting and uploading the power data of a park distribution box in real time; on the basis of historical power data and meteorological information, predicting future power demands and identifying wave crests and wave troughs by using a deep learning model; generating a load scheduling strategy by adopting a reinforcement learning algorithm in combination with the prediction result and the real-time data; optimizing a scheduling strategy by using a particle swarm optimization algorithm, and outputting an optimal load distribution scheme; adjusting the load of the distribution box according to an optimization result, and balancing power resources; and when abnormity is detected, starting an emergency response mechanism to guarantee key load power supply. Through deep learning, reinforcement learning and a particle swarm optimization algorithm, accurate prediction and scheduling optimization of the park power load are realized, power resources are effectively balanced, the load response capability is improved, and key load power supply under abnormal conditions is guaranteed.

The invention discloses an electrical integrated energy system toughness planning method considering an extreme event tail risk, and relates to the technical field of integrated energy system optimization, and the method comprises the steps: firstly, considering the massive load shedding risk caused by a small-probability extreme event, and constructing a pre-disaster defense-post-disaster emergency response electrical integrated energy system toughness planning frame; secondly, comprehensively considering toughness planning cost, emergency scheduling cost and tail risk loss in a small-probability extreme scene, and establishing an objective function of a planning model; then, for a disaster stage, establishing disaster prevention resource deployment related constraints of the toughness planning model; then, considering operation constraints of the post-disaster power distribution system and the natural gas system, and establishing post-disaster emergency response related constraints; and finally, performing linearization processing on the established planning model, and calling a commercial solver for solving.

The invention discloses a distributed emergency frequency control method based on multi-agent near-end strategy optimization. The method comprises the following steps: establishing a frequency response model representing frequency dynamic characteristics and physical constraints of a power system under disturbance; each emergency power support station and each low-frequency load shedding station in the power system are modeled as independent agents, a distributed multi-agent cooperative control model is constructed, each agent makes a decision based on a local observation vector, and the action output of the agent is a continuous power regulation variable. The cooperative control model has a global reward function including frequency security and control cost; performing centralized cooperative training on the cooperative control model based on a multi-agent near-end strategy optimization algorithm; on the basis of the trained strategy network of each intelligent agent, online distributed execution is carried out, in the online distributed execution process, each intelligent agent does not need to communicate with each other, each intelligent agent can obtain a better cooperative control strategy only based on local observation, and the engineering adaptability and robustness of emergency frequency control are remarkably enhanced.

The invention belongs to the technical field of electric power information physical system security, and discloses an urban power grid information physical system security situation early warning method based on cross-space risk propagation. A power grid physical layer and information layer coupling model and a cellular space false data injection attack model are constructed, and a fault cross-space propagation mechanism is simulated through an event-driven cellular automaton theory; an integrated kernel extreme learning machine model is adopted to predict the operation state of the power grid, multi-dimensional data fusion is realized through a radial basis kernel function, and an integrated structure is adopted to fuse a plurality of model prediction results so as to improve the model prediction precision; and establishing an early warning system including voltage out-of-limit, line overload and load loss indexes, and dynamically distributing weights and dividing early warning grades in combination with an entropy weight method. According to the method, the problem of low precision of urban power grid security situation early warning under multivariate disturbance is solved, and the accuracy and robustness of security situation early warning can be effectively improved.

Disclosed in the present application are a configuration-free and maintenance-free method and system for relay protection and fault information substations, relating to the technical field of computer platform load balancing. The method comprises: acquiring all network node information by means of a relay protection and fault information master station, and constructing a network topology diagram; marking a newly added node in the network topology diagram; establishing communication with the marked network node, and uploading the original version of all data of the marked network node to a secure area I by means of a dispatching data network; performing account configuration on a plant side relay protection and fault information substation, and downloading configuration file data to the relay protection and fault information substation; parsing a packet at the relay protection and fault information master station; and establishing a protocol library at the relay protection and fault information master station, and performing protocol conversion and data parsing on the original version packet uploaded by the newly added node. The configuration-free and maintenance-free method for relay protection and fault information substations provided by the present application allows for the data received by the relay protection and fault information master station being completely consistent with the raw data of the plant side, thereby improving the working efficiency and reducing the working cost.

The invention provides a power cooperative control method, device and system based on load removal and a medium. The method is applied to a micro-grid configuration flexible interconnection device for micro-grid fault protection. After the fault is positioned, a VSG low-voltage ride-through strategy is adopted to carry out current limiting, an importance quantification model is constructed for loads, and according to a real-time operation condition, a shearable load with the minimum influence on the system is screened to carry out priority removal; and dynamic power transmission adjustment of the flexible interconnection device is synchronously triggered, a micro-grid power flow path is reconstructed, and finally a fault is removed based on a current limiting and directional element protection method. According to the invention, system protection is realized by fusing intelligent load removal and flexible power adjustment, and the fault isolation speed and the stability of the microgrid system are effectively improved.

The invention belongs to the technical field of electric digital data processing, and discloses a dynamic strategy configuration-based cancel-after-verification process automation system, which comprises the steps of obtaining cancel-after-verification interaction information, performing scene feature extraction and strategy element deconstruction, and forming a strategy element knowledge base; analyzing the voucher identification code, performing multi-dimensional voucher attribute deconstruction and type portrait description, and generating a voucher intelligent portrait; performing rule matching degree evaluation and strategy source tracing, and locking an applicable strategy rule set; performing strategy conflict harmonic analysis and rule priority ranking to generate a cancel-after-verification execution instruction chain; performing flow wave crest prediction and resource scheduling arrangement to form a load balancing strategy table; performing intelligent channel shunting scheduling, and establishing a cancel-after-verification process execution network; according to the invention, the intelligent automation of the cancel-after-verification process is realized, the system processing efficiency is improved, and the method can adapt to complex and changeable business scene requirements.

A wireless transmit and receive unit (WTRU) may receive, from a network, first configuration information including a first resource identification (ID) and an indication of time and frequency resources to be used in ambient Internet of things (AIoT) access procedure. The WTRU may also receive first assistance information associated with the first resource ID. The WTRU may determine, based on the first configuration and first assistance information, first resource to be used to send a first AIoT message. The WTRU may send the first message and monitor the access occasions to determine if an overload occasion occurred. Upon overload detection, the WTRU may send, to the network, an overload indication. The WTRU may receive, from the network, second assistance information. The WTRU may determine, based on the first configuration and first and second assistance information, a second resource to be used to send a second AIoT message.

Disclosed embodiments provide methods, systems, and computer program products for implementing enhanced phase power load balancing of a set of systems (e.g., the set of systems of a data center) using a subset of the systems. Disclosed embodiments extract phase currents of a three-phase power source of the set of systems, and determine, based on extracted phase currents for the set of systems, input phase power load balancing for the subset of the systems. Disclosed embodiments alter the current input phase power balancing of the subset, unbalancing the input phase power load for the subset of the systems to provide enhanced phase power load balancing of the set of systems. Altering the current input phase power balancing for the subset of the systems can be implemented by power shifting between power supply units (PSUs), phase rotations, or input phase switching of power distribution unit (PDU) switchable output ports.

The invention discloses a reliability evaluation method for a power distribution network containing network construction type energy storage and flexible resources, and the method comprises the steps: firstly constructing a wind power and photovoltaic combined output probability distribution model considering the output uncertainty and spatial-temporal correlation of new energy, and a typical load scene; then establishing a'operation-fault 'two-state shutdown model, and generating a system operation state through sequential Monte Carlo simulation; simulating the power distribution network according to the fault information, and analyzing the power output characteristics of the constructed network type energy storage and the voltage support effect of the constructed network type energy storage on the near-area distributed new energy; and finally, constructing an optimal load shedding model considering the network-forming type energy storage power support effect, calculating the fault consequence of the system, and calculating the reliability index of the system according to the fault consequence. According to the method, the improvement effect of network construction type energy storage on the reliability of the power distribution network is analyzed; and meanwhile, the accurate reliability evaluation capability is still kept in a high-permeability scene of the distributed power supply, and a theoretical support is provided for network construction type energy storage planning investment for improving the reliability of the power distribution network.

A microgrid controller of a microgrid includes a communication interface configured to receive load information corresponding to a plurality of loads connected to the microgrid, receive energy resource information corresponding to a plurality of energy resource systems connected to the microgrid, and output control signals for controlling an operation of each energy resource system; and one or more processors configured to perform at least two dispatch operations selected from a load balance dispatch operation, an export dispatch operation, or a charge / discharge dispatch operation according to a prioritization dispatch scheme. The load balance dispatch operation, the export dispatch operation, and the charge / discharge dispatch operation are assigned different dispatch priorities that define a sequence of dispatch operations of the prioritization dispatch scheme. The plurality of energy resource systems includes energy storage systems (ESSs), unidirectional non-ESSs, and bidirectional non-ESSs.

The invention discloses an emergency control method and an emergency control system considering network construction type energy storage power fast regulation, and belongs to the technical field of power systems and automation thereof. Operation information of a tie line is collected in real time, energy storage adjustable capacity is evaluated, when it is detected that the tie line is broken due to a fault, power vacancy is calculated based on an equal-capacity cutting-off principle, and the energy storage power fast regulation is completed. For a power receiving system, network construction type energy storage is preferentially called to carry out power fast adjustment, and load removal is carried out cooperatively when the energy storage capability is insufficient; and for a power delivery system, the new energy unit with the corresponding capacity is directly cut off. Through issuing a power adjusting instruction and an emergency control instruction, energy storage is driven to execute large-step fast adjustment and self-response fine adjustment, and finally fast and stable operation of the isolated network is realized. According to the method, the problem of frequency stability when the high-proportion new energy is connected to the isolated grid for operation is effectively solved, and the toughness and the safe operation level of the high-proportion new energy connected to the grid are remarkably improved.

Methods, apparatus, systems, and articles of manufacture are disclosed to improve webservers using dynamic load balancers. An example method includes identifying a first and second data object type associated with media and with first and second data objects of the media. The example method also includes enqueuing first and second event data associated with the first and second data object in a first and second queue in first circuitry in a die of programmable circuitry. The example method further includes dequeuing the first and second event data into a third and fourth queue associated with a first and second core of the programmable circuitry, the first circuitry separate from the first core and the second core. The example method additionally includes causing the first and second core to execute a first and second computing operation based on the first and second event data in the third and fourth queues.

The invention provides an anti-countercurrent control method and system based on load removal feature recognition, and the method comprises the steps: setting an anti-countercurrent power judgment threshold value and a feature signal capturing judgment threshold value, recording an event triggering moment, a power reduction starting moment and initial power when the power of a user home-entry gateway is lower than the feature signal capturing judgment threshold value, and recording the initial power of the user home-entry gateway; collecting voltage and current waveforms within a preset time span before and after a power reduction starting moment to form a load removal characteristic waveform, calculating a time difference value and a power difference value, and storing related data in a characteristic library; scanning the voltage and current waveforms of the home-entry gateway in real time, calculating the correlation between the real-time waveform and the waveforms in the feature library through a Pearson's correlation coefficient method, updating the credibility value and the application timestamp of the matched feature waveform when the correlation coefficient exceeds a threshold value, and updating the application timestamp when the credibility value reaches a set threshold value. And generating an energy storage system power suppression instruction based on the power difference value and the time difference value. According to the invention, economic loss and power supply enterprise fines caused by reverse power transmission can be reduced.

The invention relates to the field of power distribution network system protection, and discloses a power distribution network cyber-physical system network attack optimization method which comprises the following steps: S1, establishing an upper-layer attack model which is used for simulating a decision of an attacker for causing the maximum load loss under the constraint of limited attack resources; s2, establishing a lower-layer rescheduling model, wherein the lower-layer rescheduling model is used for simulating a response decision taking minimization of load shedding loss and scheduling cost as targets after a power distribution network dispatcher is attacked; and S3, constructing an attack and defense double-layer optimization model combining the upper-layer attack model and the lower-layer rescheduling model. Through sequential logic based on attack and defense, the first stage starts from the perspective of attackers to maximize attack consequences and minimize attack cost, and the second stage minimizes scheduling and operation cost from the perspective of dispatchers to guarantee power supply of key users, so that the influence of network attacks on the power distribution network is comprehensively and accurately evaluated.

Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. Power consumption of power-drawing devices (e.g., hosts, servers, etc.) may be monitored with respect to a power threshold. When the current power consumption corresponding to those devices breaches the power threshold, or at any suitable time, the system may identify a set of reduction actions configured to reduce aggregate power consumption. The power threshold may be updated dynamically based on the operational status of related systems and environmental factors. A number of response levels may be utilized, each having an association to a corresponding set of reduction actions. The impact to customers, hosts, and / or workloads can be computed at run time based on current conditions and workloads, and a particular response level can be selected based on the computed impact. These techniques enable a sufficient, but least impactful response to be employed.

The invention provides an energy storage load shedding control method and device based on SOC estimation and mode self-adaption. The method comprises the steps of fault detection and demand evaluation, wherein frequency deviation is collected in real time, adjustment is triggered when the frequency deviation exceeds a threshold value, and power vacancy is calculated; sOC estimation and resource screening: predicting SOC based on a long short-term memory network, input voltage, current, temperature and the like, and screening an adjustable energy storage set; the control mode is self-adaptive, wherein tripping or power adjustment is selected according to the frequency deviation and the SOC; optimization and power distribution: taking power vacancy as a target, constructing a'minimum frequency deviation + minimum control cost 'multi-target optimization model, and solving an adjustment power or tripping instruction; and instruction execution and closed loop: issuing an instruction to execute adjustment or tripping to form a closed loop. According to the invention, the resource allocation accuracy is improved through SOC estimation; dual-mode collaborative dynamic optimization is carried out, and rigidity and flexibility are fused; the multi-objective optimization overall planning frequency stability and economical efficiency is better in response speed, resource utilization and reliability.

The invention provides a load balancing method and system for an automobile charging demand, and is applied to the field of electric data processing. According to the method, the charging load distribution information is identified and dynamically managed and controlled under the multi-layer architecture of the power distribution network, closed-loop control from load identification to model construction to risk prediction to constraint update is realized, the operation state of the charging pile and the operation constraint of the power distribution network can be sensed in real time under the condition of centralized charging of the electric vehicle, and the reliability of the system is improved. The power demand is predicted in advance, a potential risk area is identified, local feeder overload, voltage out-of-limit and electric energy quality deterioration are prevented, risk node power can be actively reduced by introducing risk upper limit judgment and protection measures, three-phase loads are balanced, and stable power supply is guaranteed.

Traffic balancing for moving users, proactive slice management, and predictive slice management using Artificial Intelligence (AI) are disclosed. Radio Access Networks (RANs) are adjusted based on predicted data usage for moving users based on the applications they are running using AI / machine learning (ML) models. Load balancing is performed when new users move into a coverage area. Predictive slice management is performed to allocate bandwidth to users for a period of time based on predicted application usage.

The invention provides a wireless communication control method based on a load shedding service, which belongs to the technical field of power control systems and comprises the following steps of: segmenting a load shedding service instruction into data unit packets capable of being transmitted in parallel according to a preset data unit packet length threshold range; dynamically distributing discrete carrier frequency bands for the data unit packet to carry out multi-carrier parallel transmission; scanning a target frequency band to select a subcarrier combination, and dynamically allocating a discrete carrier frequency band for the data unit packet; the terminal randomly accesses on the multi-carrier frequency service channel and uploads data in parallel at the same time; and performing joint recombination on the multi-carrier discrete spectrum data at a receiving end, and recovering an original service instruction. The method has the advantages that discrete frequency band resources are efficiently integrated by combining dynamic carrier allocation with real-time channel scanning. The problem of communication congestion in a terminal dense area is relieved, and frequency spectrum idling in a low-service-density area is also avoided. The multi-carrier parallel transmission is beneficial to improving the spectrum utilization rate, and provides support for massive terminal access in a new energy high-permeability scene.

The invention discloses a power grid operation rapid evaluation method, system and device and a storage medium, and the method comprises the steps: obtaining the probability distribution data of photovoltaic output and load demand in a power system, carrying out the preprocessing of the probability distribution data of photovoltaic output and load demand, and obtaining the dynamic characteristics of photovoltaic output and load demand; the optimal power flow is calculated by taking the minimum operation cost as the target and combining the power grid operation constraint, and the optimal power supply output condition and the load shedding amount under the optimal operation mode of the power grid are obtained; presetting a power grid operation state evaluation model, and training the preset power grid operation state evaluation model to obtain an optimal power grid operation state evaluation model; and evaluating the power grid operation state based on the optimal power grid operation state evaluation model. According to the method, the volatility and uncertainty caused by new energy high-proportion grid connection and flexible load can be effectively dealt with, the robustness of the model to a complex power grid environment is improved, and the operation state of the power grid is rapidly and accurately evaluated.

Systems and methods for content-based routing of network traffic for distributed computing services are disclosed. A load balancing device monitors real-time network traffic data communicated to distributed computing services hosted on computing devices across multiple data centers. The load balancing device receives a user request to add a new distributed computing service, including a content map mapping service parameters to target devices. The load balancing device is configured to transmit incoming traffic requests for the new service to computing devices in either a cloud-based or on-premises data center by adding the content map to its routing configuration. Upon receiving an incoming request, the system determines if it corresponds to the new service, identifies a target device mapped to the request parameters using the content map, and transmits the request to the target device.

The application relates to the technical field of power distribution networks of power systems, and discloses a fault post-recovery control method for a power distribution network containing flexible soft switches, which comprises the following steps: after a fault occurs, the original main station converter is exited, the active power, the reactive power and the rated capacity of the remaining converters are collected to calculate the dynamic capacity margin, the electrical distance from each converter node to the load center of the system is calculated, the comprehensive score is obtained based on the capacity margin and the electrical distance weighting, the converter with the highest comprehensive score and the capacity margin greater than the preset threshold is selected as the new main station, and the control mode of the new main station is switched; the main station selection mechanism based on the comprehensive evaluation of the dynamic capacity margin and the electrical distance is used to quickly establish a stable voltage frequency reference for the power failure area, the load shedding penalty sub-target and the load hierarchical and phased recovery strategy are used to preferentially guarantee uninterrupted power supply for the first important load under the condition that the transfer supply capacity is limited, and the influence of power failure on sensitive users is effectively reduced.

A micro-grid group low-frequency load shedding method based on an improved Shapley value comprises the following steps: analyzing operation characteristics of each main body in low-frequency load shedding, and constructing a node contribution degree factor based on a load importance degree, load shedding economic loss and a frequency regulation effect; the method comprises the following steps of: calculating the marginal contribution degree of different indexes of each node to the whole micro-grid by combining load multiple characteristics with a Shapley value in a cooperative game, and improving a contribution degree distribution coefficient to more reasonably distribute the load shedding amount; and constructing a load shedding model, and performing knowledge migration on the load shedding model by adopting a model lightweight method based on knowledge distillation, so that efficient compression of the model and improvement of solving performance are realized, and a low-frequency load shedding method is formed. According to the method provided by the invention, the load shedding amount of each node can be fairly and reasonably distributed in the load shedding process, and a good frequency recovery effect is achieved.

The invention relates to the technical field of electric power detection, and provides a low-voltage and low-frequency load shedding function test method and a test device, in the on-site real-model test process, the test method and the test device are hung on a grid along with an FTU, the voltage and frequency change of the power grid and the action of the FTU are recorded in real time, a broken line graph is generated through upper computer software, and the action process of on-site low-voltage and low-frequency detection is displayed. Whether the device correctly executes the low-voltage and low-frequency load shedding action or not is visually observed, and the method has high practical significance (fault prevention), asset configuration optimization (service life prolonging) and final service for efficient, reliable and economical operation of a power grid.

The application provides a load balancing method and system for automobile charging demand, which is applied to the field of electric data processing; through identification and dynamic management and control of charging load distribution information under a multi-layer architecture of a power distribution network, the application realizes closed-loop control from "load identification-model construction-risk prediction-constraint update", can realize real-time sensing of charging pile operation state and power distribution network operation constraint under the condition of concentrated charging of electric vehicles, can predict power demand and identify potential risk areas in advance, can prevent local feeder overload, voltage out-of-limit and deterioration of power quality, and can also actively reduce power of a risk node and balance three-phase load through introduction of risk upper limit judgment and protection measures, so as to guarantee power supply stability.

The invention discloses a regional energy system reliability evaluation method and system considering information failure, and belongs to the technical field of power energy system reliability evaluation. The method specifically comprises the following steps: solving a control function failure model of the on-off equipment under information failure; establishing an equivalent node model of the comprehensive energy physical system; performing state sampling on the system by adopting non-sequential Monte Carlo simulation according to the Markov state models of the power distribution network and the gas distribution network and the state model of the coupling element to obtain a system state; and according to the system state, the control function failure model and the equivalent node model, judging the judgment results of the load loss amount and the load shedding under different operation states, and calculating a reliability index to realize the reliability evaluation of the regional energy system considering the information failure. According to the method, the accuracy of reliability evaluation is improved, the dynamic behavior of the equipment is accurately captured, the element state acquisition precision is improved, the complexity of time sequence simulation is avoided, the calculation efficiency is improved, and the method is suitable for a large-scale multi-energy system.

The application relates to a monitoring system of a low-frequency load shedding device applied to the power supply or power distribution field, which comprises a device body, an executing mechanism arranged in the device body, a DSP operation processing unit carried in the device body and double-set redundant links connected with the device body, adopts the setting of a double-set redundant link data acquisition unit, a scheduling control feedback unit, a reserved re-verification unit, a prediction scheduling emergency unit and a load control emergency recovery unit, can promote the fusion of multi-source information in the application process of the monitoring system, can predict and apply the intermittence and fluctuation of new energy on one hand, can re-verify the data after load control on the other hand, reduces the data error generated due to the previous action, reduces the misoperation of the device body, guarantees the effectiveness and safety of the load shedding of the device body, effectively improves the monitoring accuracy and stability of the monitoring system on the power grid frequency data, and avoids the misoperation or missed operation phenomenon.