107 results about "Energy reserves" patented technology

The embodiment of the invention relates to the field of data processing, in particular to a multi-market transaction prediction method and system for a virtual power plant. The method comprises the steps of obtaining first predicted output data based on historical electricity prices, user load data and time-of-use electricity prices before a transaction, obtaining a first preset total energy demand through correction of a load fuzzy response model, and generating a day-ahead market bidding strategy and a first bidding electricity price; and on the same day of the transaction, acquiring second predicted output data based on the real-time data, receiving the first bidding result, correcting the first bidding result to obtain a second preset total energy demand, and generating a real-time market bidding strategy and a second bidding electricity price. And after the second bidding result is received, dynamically adjusting the real-time preset total energy demand, optimizing the power scheduling and charging and discharging strategy of the energy storage system, and balancing the energy reserve after the transaction. According to the method, the bounded rationality problem of the controllable load in the demand response process is solved, the user demand response result and the DER are effectively combined, and a solution is provided for the VPP to participate in the bidding plan of multiple types of power markets.

The invention discloses an unmanned cleaning ship for salvaging garbage and a control method of the unmanned cleaning ship. The unmanned cleaning ship comprises a ship body, a garbage collecting device, a multi-mode sensing system, an intelligent control system and a water quality purifying device. The multi-mode sensing system senses the surrounding environment and transmits comprehensive environment information to the intelligent control system. The intelligent control system dynamically plans a navigation path according to the water surface garbage position, the obstacle data, the real-time ship body position, the historical cleaning efficiency and the energy storage state; according to the garbage type identification result, the distribution density and the storage cabin capacity state, the working state of the garbage collection device is adjusted in a self-adaptive mode; controlling the working state of the water purification device according to the water quality parameters, the flow velocity and the water temperature data. By integrating the multifunctional module and the intelligent control system, comprehensive perception, intelligent decision making and multifunctional treatment of the water area environment are achieved, the water area cleaning efficiency and quality are improved, and an innovative solution is provided for sustainable treatment of the water area environment.

A green energy based digital asset transfer and issuance system and a method thereof are disclosed and are applicable to a green energy bank and at least one individual user. The system includes a reserve management unit, an issuance management unit, at least one energy storage unit, at least one transaction unit, and at least one terminal unit, which are operated with steps (a) the green energy bank purchasing at least one green energy; (b) summing the purchased green energy into a green energy reserve; (c) issuing the green energy reserve into a digital asset; and (d) using the digital asset to conduct trading with at least one individual user. As such, the green energy bank issues green energy into a digital asset to allow an individual user to do trading with the digital asset, so as to prosper the green energy business.

The invention discloses a zero-carbon intelligent electrified highway transportation system, and relates to the technical field of highway transportation green low-carbon and new energy automobiles, and the system comprises the following components: an energy supply and management module which supplies power through the combination of an external power grid and a renewable energy power generation micro-grid, carries out the voltage reduction and rectification of a traction substation, and outputs the power to a power supply module; a renewable energy power supply proportion dynamic adjustment formula is utilized, and the total central control platform dynamically adjusts the power supply proportion according to the power consumption demand and the energy reserve, so that stable power supply is guaranteed; through close cooperation of the energy supply and management module and the vehicle energy utilization module, electric power is obtained from the overhead contact line system in real time in the driving process, the problems that a new energy heavy truck is short in driving mileage and low in energy supplementing efficiency are effectively solved, the transportation efficiency is greatly improved, the requirement for long-distance freight can be better met, and the transportation cost is reduced. And the road freight industry is powerfully promoted to develop in a more efficient and more convenient direction, and the competitiveness of transportation enterprises in the market is remarkably enhanced.

Methods, systems, and devices for using a backup capacitor as an alternate energy source via dynamic APL budgeting are described. A memory system may use excess power available at an energy storage device such as a backup capacitor to improve performance under various circumstances. The amount of power reserved for the APL may be dynamically determined based on various conditions of the memory system. The energy reserved for APL recovery may be dynamically budgeted so that excess energy from the energy storage device may be used to improve operations. The energy storage device may be recharged using surplus power when the amount of energy required for operations at the SSD is less than the maximum power budget for the SSD.

A method and system for optimizing an energy reserve of a battery electric machine (BEM) are provided. The method includes determining a location of a BEM allocated to a production circuit; determining a location of a charging station; determining a planned task energy amount associated with one or more planned tasks of the BEM executing the production circuit including a travel by the BEM to the location of the charging station; calculating an unplanned energy usage associated with a plurality of unplanned events of the BEM that are different from the one or more planned tasks; based on the planned task energy amount and the unplanned energy usage, determining an energy reserve for one or more batteries of the BEM, determining, whether a current charge state of the one or more batteries is below the energy reserve; and causing the machine to execute an opportunistic charging.

The invention discloses a seed humidity gradient packaging and freezer graded storage method, and relates to the technical field of graded storage, and the method comprises the following steps: S1, establishing a multi-dimensional initial state file containing the indexes; s2, dividing the pre-adjusting process of the water content of the seeds into a plurality of stages; s3, dividing seed storage risk grades based on the multi-dimensional initial state file; s4, dividing storage sub-regions according to spatial positions and packaging types; and S5, when the parameters exceed the preset threshold value, the operation parameters of the freezer are regulated in a linkage mode, and cold supply is optimized according to the sub-area sensitivity priority in combination with the operation scene. According to the method, a multi-dimensional state file is established by detecting the initial moisture content, the energy reserve and the physical integrity of the seeds, then the risk levels are divided based on the file, and the differentiated packaging humidity and the pre-adjustment strategy are matched, so that the lower packaging humidity is adopted for the seeds with the high initial moisture content to inhibit mold breeding; excessive drying is avoided for seeds with low initial moisture content.

The invention discloses a business area type virtual power plant system and an optimal scheduling method thereof, and the method comprises the following steps: quantifying unprovided expected energy reserve capacity and wasted expected energy reserve capacity based on a probability density function of a business area net demand prediction error; considering the electricity purchasing cost and the electricity selling income of the virtual power plant, the adjustable resource cost and the penalty term cost due to the fact that the expected energy reserve is not provided and the expected energy reserve is wasted, and establishing an objective function for minimizing the operation cost of the virtual power plant; establishing constraint conditions of operation of the virtual power plant, wherein the constraint conditions comprise a power generation and utilization power balance constraint, an adjustable resource power physical constraint and a reserve capacity constraint; and under the constraint condition, solving the target function to obtain a virtual power plant control decision instruction containing the reserve capacity. The invention proposes that the virtual power plant operator predetermines the reserve capacity by taking into account the economic and technical indicators of the dynamic risk reserve at a specific safety level to minimize the operating cost of the virtual power plant.

The invention relates to a combined machine group active speed change frequency support control method, which is used for a dynamic low-frequency wind power system, and comprises the following steps: calculating a power grid frequency deviation signal; if the power grid frequency deviation signal does not exceed the frequency modulation dead zone, outputting 0 as a first power instruction, and if not, performing frequency support power calculation, and outputting a calculation result as the first power instruction; comparing the power grid active power dispatching instruction with the active power calculation value, and outputting a second power instruction; if the first power instruction is not 0 and the absolute value of the first power instruction is greater than a threshold value, performing power grid frequency support control on the wind power system by using the first power instruction; and if not, performing limited power control on the wind power system by using the second power instruction. Compared with the prior art, active speed increasing and power reducing control of the dynamic low-frequency wind power system can be achieved, more energy reserve can be provided for power grid frequency support while sudden change of the power grid frequency can be rapidly dealt with, and therefore a better power grid support effect is achieved.

The invention belongs to the technical field of power system automation and energy management, and particularly discloses a standby power management system for power utilization information acquisition of a power grid and a control method. The system comprises a main power supply monitoring module, an energy reserve management module, a communication environment sensing module, an energy efficiency strategy decision core and a task priority scheduling module. The communication step length and the transmitting power are dynamically adjusted by capturing the states of a power grid, a battery and a channel in real time, and data scheduling is executed according to priorities. By the adoption of the technical scheme, fine distribution of electric energy is achieved, invalid standby power consumption is reduced, the life cycle of the collection terminal in the power-off state is prolonged, reliable reporting of key information under the extreme working condition is ensured, and data support is provided for research and judgment of power grid faults.

The invention provides a method for converting distributed energy into distributed computing power, relates to the technical field of distributed energy and distributed computing power conversion, and is used for improving the utilization efficiency of the distributed energy, reducing the computing power acquisition cost and realizing collaborative optimization of the energy and the computing power. The method comprises the steps that energy information of a distributed energy system is obtained, distributed energy comprises one or more of solar energy, wind energy and water energy, and the energy information comprises energy output and energy reserve; state information of distributed computing power nodes is obtained, the distributed computing power nodes comprise electronic equipment with computing power, and the state information comprises the computing power and task execution conditions of the distributed computing power nodes; and matching a target node based on the energy information, the state information and a target task, wherein the target node is the distributed computing power node with the highest matching degree with the target task.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may compute a dynamic energy reserve level for a radio of a plurality of radios associated with the UE, wherein the dynamic energy reserve level for the radio is based at least in part on: an actual past energy usage by the radio, a required energy for the radio to transmit control channel data and high-priority traffic data, and an energy efficiency of the radio. The UE may transmit, via the radio, an uplink transmission based at least in part on the dynamic energy reserve level for the radio. Numerous other aspects are described.

While a vehicle is off, an automatic trigger strategy activates a heating device that melts snow and ice off exterior vehicle sensors as it is needed. The automatic trigger strategy determines when to turn on the heating device while the vehicle is in a limited power state by using data pulled from memory or data obtained from a current data check. Collected, analyzed, and stored during key-off, data pulled from memory allows the invention to accurately choose the correct time to start the heating device without consuming additional power. If current data checks are required because data saved at key-off is not enough information to execute a decision, the invention may determine the least power consuming data checks. A power manager extends a threshold that is dependent on the energy reserve. Once the energy reserve is below the threshold, the power manager inactivates the heating device and voids manual commands.

A method for operating an energy system with a fuel cell stack and an electrical energy storage device is provided, comprising: determining a functional status of the at least one fuel cell stack (110); activating a limit charge / discharge strategy of the energy system if the functional status of the at least one fuel cell stack is a limited functional status (220) in order to increase an energy reserve of the energy system; and / or Activating a limit operating range of the electrical energy storage device (132) when the functional status of the at least one fuel cell stack is the limited functional status (220) in order to provide the increased energy reserve.

The present invention relates to the field of powertrain control and debugging technology for new energy vehicles, and discloses an all-in-one controller debugging device for new energy commercial vehicles, including a high-voltage distribution unit in an all-in-one controller connected to an energy storage unit, the high-voltage distribution unit is connected to a plurality of controller units, and the controller units are used to respectively connect to corresponding load ends to realize joint debugging tests from the energy storage unit to the controller unit and then to the load end, and the controller unit includes a main drive motor controller, a steering oil pump controller, a brake air pump controller, a 24V low-voltage power supply DC / DC controller, an air conditioning power supply circuit and an upper power supply circuit. The all-in-one controller debugging device for new energy commercial vehicles of the present invention realizes the connection between the all-in-one controller and the controlled object, and is connected to the corresponding load type, can simulate the whole vehicle, and realize the joint debugging test from the energy storage unit to the all-in-one controller and then to the controlled object.

The utility model belongs to the field of button cell circuits, and particularly relates to a low-power-consumption energy storage circuit of a button cell, which comprises an energy storage element and an energy storage switch circuit. The energy storage element is used for storing electric energy and providing energy reserve for the switching power supply and the load; the energy storage switch circuit automatically controls the charging and discharging states of the energy storage element according to an instruction of the main control chip, and can cut off a loop to the ground of the energy storage element under the condition that the switch is switched off; through a low-cost scheme, the problem of high power consumption of a common capacitive energy storage circuit in current wearable equipment is solved, the problem of overhigh power consumption caused by the fact that an energy storage element is in an unstable working state for a long time is well solved, meanwhile, the energy storage element is activated when the energy storage element needs to work, the requirement of the wearable equipment for electric energy storage is not influenced, and the energy storage efficiency is improved. According to the scheme, the number of added elements is small, the cost advantage is large, and the button cell power supply wearable device is especially suitable for long-term standby.

This invention belongs to the field of boehmite powder preparation technology, and discloses a high specific surface area boehmite powder and its preparation method. The method includes: firstly, deeply cooling a macroscopic system containing aluminum salts to build a macroscopic cold energy reserve; then, at the instant of pulsed injection of an alkaline precipitant into the solution, utilizing the micro-area adiabatic space built by pausing external cooling, allowing the heat generated by the neutralization reaction to perform in-situ annealing of the newly formed crystal nuclei; finally, using the macroscopic cold energy reserve to quench and lock the annealed crystal nuclei. This invention, by synergistically coupling external cooling and reaction heat in space and time, transforms the traditional process of step-by-step low-temperature nucleation and high-temperature aging, where performance is at odds, into a physical process that is synergistically completed within a single cycle, thereby solving the problem of simultaneously achieving the two core performance indicators of high specific surface area and high thermal stability.

The application relates to the technical field of oil platform energy management and control, and discloses an oil platform energy management and control system which comprises an energy collection and detection module, an energy use data calculation module, an energy dispatching module and a safety detection module; the energy collection and detection module comprises an electric energy collection unit, a solar energy collection unit and a fuel collection unit; the energy use data calculation module comprises an energy use record unit and an energy consumption calculation unit; the energy dispatching module comprises a dispatching request analysis unit and an actual dispatching unit; and the safety detection module comprises an energy reserve calculation unit and an equipment energy consumption anomaly detection unit. The method counts the electric energy and fuel gas energy on the oil platform, establishes an optimal energy consumption model according to the required energy consumption of each device, solves the optimal energy consumption model, obtains optimal energy distribution weights, and performs dispatching and distribution according to the energy distribution weights, so that the energy of the oil platform is saved and utilized, and the dispatching cost is reduced.

The invention relates to a method for managing the movements of a set (AE) of vehicles (AE1, …, AEn) equipped with respective energy reserves and capable of making journeys within a network of traffic lanes equipped with a set of energy recharging infrastructures (IR1, …, IRm) capable of recharging vehicles with energy, the infrastructures being geographically distributed over the network of traffic lanes. Such a method comprises the steps of: calculating (S01), for vehicles (AE1, …, AEn) the set (AE) of at least one journey (TAE11, …, TAEnp) to be carried out, said calculation (S01) being a function of: data representing an available energy level of the vehicles (EDAE1, …, EDAEn) at a given time; data representing waiting times for access to the energy recharging infrastructures (IR1, …, IRm) of the traffic lane network; transmission (S02), to the vehicles (AE1, …, AEn) of said at least one journey (TAE11, …, TAEnp). Figure 2.

A commercial area virtual power plant system and an optimization scheduling method thereof, the method comprising the following steps: quantifying the failure to provide expected energy reserve capacity and the waste of expected energy reserve capacity based on the probability density function of the net demand forecast error of the commercial area; establishing an objective function that minimizes the operating cost of the virtual power plant by taking into account the virtual power plant's electricity purchase cost and electricity sales revenue, the cost of adjustable resources, and the penalty cost for failing to provide expected energy reserves and wasting expected energy reserves; establishing constraints for the operation of the virtual power plant, including: power balance constraints for power generation and consumption, physical constraints for adjustable resource power, and constraints for spare capacity; solving the objective function under the constraints to obtain virtual power plant control decision instructions including spare capacity. The present invention proposes that the virtual power plant operator predetermine the spare capacity by considering the economic and technical indicators of dynamic risk reserves under a specific safety level to minimize the operating cost of the virtual power plant.

The invention provides an unmanned aerial vehicle air base station intelligent scheduling method based on a low earth orbit satellite internet and a related device, and relates to the technical field of unmanned aerial vehicle scheduling. Performing grid division on the target monitoring area; according to line importance, equipment fault history, terrain and environment conditions, natural disaster risks and external damage risks, monitoring requirements of different grids are quantified to generate task grids; and dynamically scheduling the aerial nodes of the unmanned aerial vehicle to the optimal task grid through feature mapping and income estimation based on a context multi-arm bandit algorithm in combination with the task grid, and realizing real-time monitoring and data transmission of a power transmission corridor. Limited energy reserve of the unmanned aerial vehicle is considered, the long-term scheduling deployment problem of the unmanned aerial vehicle air node in a dynamic change environment is solved, and the equipment energy efficiency and the energy utilization rate of the unmanned aerial vehicle air node are improved.

This invention discloses an energy data equalization method and system for flywheel energy storage arrays, relating to the field of flywheel energy storage technology. The method involves acquiring operating parameters of each flywheel unit, including information indicating energy reserves, heat load, and accumulated operating stress. Based on these parameters, the method assesses the current operational capacity of each flywheel unit, obtaining an operational capacity assessment result. Based on the assessment result, a differentiated energy task is determined for each flywheel unit. This differentiated energy task is then sent to each flywheel unit, and each unit adjusts its energy conversion operation according to the task, cyclically executing the acquisition, assessment, determination, and adjustment operations. This effectively avoids premature unit aging and system performance degradation caused by uneven load distribution, thereby improving the overall system lifespan, reducing maintenance costs, and enhancing overall energy efficiency.

The application provides a charging pile abnormal condition early warning method and system based on wireless networking, comprising: acquiring energy reserve information of internal monitoring elements of a charging pile; when the energy reserve information decreases to a preset threshold, adjusting the data collection and information transmission strategy of the monitoring elements to transmit key data containing the energy reserve information and upstream power supply unit operating condition information associated with the monitoring elements; receiving the key data and parsing to obtain the energy reserve information and the upstream power supply unit operating condition information; judging the operating condition of the upstream power supply unit according to the obtained energy reserve information and upstream power supply unit operating condition information, and outputting early warning information indicating the judged upstream power supply unit operating condition. The application can actively monitor the energy reserve of the internal monitoring elements of the charging pile, and adjust the data transmission strategy when the energy is insufficient, ensure the transmission of key data, so as to timely discover and early warn the abnormal condition of the upstream power supply unit.

This invention discloses a method and system for intelligent charging and discharging control of lithium batteries for trucks, relating to the field of intelligent charging and discharging control of lithium batteries for trucks. It aims to improve the intelligent and refined management of the charging and discharging process of lithium batteries for trucks. The method includes: acquiring battery operating parameters and determining the battery's loss cost under specific operations based on these parameters; the loss cost is used to measure the impact of specific operations on battery life; acquiring attribute information of the current operating task or external power supply request and determining the value assessment result of the operating task or external power supply request based on the attribute information; the value assessment result is used to measure the importance of the operating task or external power supply request; acquiring vehicle travel information and determining the minimum energy reserve required for the vehicle to complete subsequent travel based on the travel information; and adjusting the battery's charging upper limit or the energy reserve threshold for external discharge based on the loss cost, the value assessment result, and the minimum energy reserve.

A power distribution control approach employs power distribution buses that are controllably energized and de-energized to control which aerial vehicle systems received power based on the applicable operational mode. A method of controlling power distribution in an electrically powered vertical takeoff and landing aircraft includes receiving an operational mode indication that identifies an operational mode. The operational mode is one of predetermined operational modes for the aircraft. Power distribution buses of the aircraft are controlled, based on the operational mode indication, to control each of the power distribution buses to be energized or de-energized.

Methods, systems, and devices for using a backup capacitor as an alternate energy source via dynamic APL budgeting are described. A memory system may use excess power available at an energy storage device such as a backup capacitor to improve performance under various circumstances. The amount of power reserved for the APL may be dynamically determined based on various conditions of the memory system. The energy reserved for APL recovery may be dynamically budgeted so that excess energy from the energy storage device may be used to improve operations. The energy storage device may be recharged using surplus power when the amount of energy required for operations at the SSD is less than the maximum power budget for the SSD.

A power distribution control method employs a controllably powered-on and powered-off power distribution bus to control which aircraft systems receive power based on applicable operating modes. A method of controlling power distribution in an electrically powered vertical takeoff and landing aircraft includes receiving an operational mode indication identifying an operational mode. The operating mode is one of predetermined operating modes for the aircraft. Power distribution buses of the aircraft are controlled based on the operational mode indications to control each power distribution bus to be powered on or powered off.

The invention provides a heat sealing system for a soft package battery, and belongs to the technical field of energy reserve. A top packaging assembly is arranged at the end of a folding assembly, a side packaging assembly is arranged on one side of the folding assembly, a detection assembly is arranged on one side of the side packaging assembly, and an edge cutting assembly is arranged on one side of the detection assembly; the containing part comprises a containing plate, a first containing groove used for containing the soft package battery is formed in the upper end face of the containing plate, a side plate is arranged on the side face of the containing plate, a top groove is formed in the side plate, and the two ends of the top groove are each provided with a side groove. The top groove is matched with the top packaging assembly to complete packaging of the top of the soft package battery, and the two side grooves are matched with the side packaging assembly to complete packaging of the side of the soft package battery. The supporting pads are arranged in the top groove and the side grooves in the packaging process, so that positioning of the packaging process is achieved, and it is guaranteed that the packaging positions of all the soft package batteries are consistent.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may compute a dynamic energy reserve level for a radio of a plurality of radios associated with the UE, wherein the dynamic energy reserve level for the radio is based at least in part on: an actual past energy usage by the radio, a required energy for the radio to transmit control channel data and high-priority traffic data, and an energy efficiency of the radio. The UE may transmit, via the radio, an uplink transmission based at least in part on the dynamic energy reserve level for the radio. Numerous other aspects are described.

The invention relates to the technical field of wireless communication, and discloses a capability programmable wireless network resource optimization method and system, and a storage medium. Dynamically dividing the network nodes into different network node types according to the energy reserve, the computing power, the loading function and the maximum communication radius; the optimal operation mode of network nodes is dynamically determined by solving the problem that the service life of a network system is maximized while all terminals are covered by a relay / base station and all nodes in the system can be communicated; the method comprises the following steps: determining an unloading proportion from a terminal node calculation task to other calculation nodes by solving the problem of minimizing a system node calculation resource occupation proportion under the limits of task time delay limitation, each-hop time delay, task calculation amount and the like; based on the filtering subgraph, adopting BFS and Dijkstra algorithms to obtain a source-terminal path considering the link capacity demand and the path hop count; and controlling the network node to sleep or wake up according to the network node function state, the residual energy and the task priority. Through node function dynamic adaptation and heterogeneous collaboration, the resource utilization rate is remarkably increased, and the system working time is prolonged.