109 results about "Power exchange" patented technology

The invention discloses an interface method for a VSC direct current system mixed granularity model and an alternating current system electromechanical transient model. The method comprises the steps that a mixed granularity simulation framework is constructed, wherein an electromechanical transient phasor model is adopted on the alternating current side, and a simplified electromagnetic transient instantaneous value model considering electromagnetic characteristics is adopted on the direct current side; the VSC converter adopts a unified equivalent model, and various types of converters are adapted through parameter configuration; a low-voltage side bus of the converter transformer is arranged at the interface position of the simulation framework and the alternating current system; simulation and interaction rules are configured, wherein the simulation step length of each direct-current power grid is independently set; the alternating current system provides port voltage and alternating current control information for the simulation framework, the simulation framework is equivalent to the alternating current system as a power source, and power exchange is realized through the converter station; in one time step calculation of the electromechanical transient state, the simulation framework changes along with the alternating current side information, a historical simulation state is taken back, and direct current side simulation in the alternating current time step is carried out again until the power interaction deviation converges.

The embodiment of the invention provides a flywheel direct-driven cogeneration unit dynamic adjusting system and a control method thereof, in the embodiment of the invention, a magnetic suspension technology is adopted to eliminate friction of a traditional mechanical bearing, and quick starting and stopping of the rotating speed of a flywheel are realized; the high-temperature superconducting magnetic clutch achieves instantaneous mechanical coupling / decoupling of the flywheel and the circulating pump through the zero resistance characteristic, and the response time is short. The frequency modulation requirement of a new energy power grid can be matched, and meanwhile hard constraint of thermal load fluctuation on electric energy output is avoided. The mechanical direct-drive path directly utilizes the kinetic energy of the flywheel to drive the circulating pump, so that a multi-stage energy conversion link in a traditional mode is omitted; the electric adjusting path realizes bidirectional power exchange between the flywheel and a power grid through an energy interface device, and the loss of an inverter is reduced; and the high-temperature superconducting magnetic clutch realizes zero-energy-loss transmission in a coupling state. The magnetic suspension flywheel set adopts a non-contact suspension technology, so that mechanical wear is eliminated; the high-temperature superconducting magnetic clutch achieves non-contact transmission through magnetic coupling, and friction loss is avoided.

The invention relates to a DC voltage secondary ripple suppression method. The method comprises the steps of obtaining direct-current bus voltage; subtracting the DC bus voltage from the reference voltage to obtain an error signal; suppressing a fluctuation component corresponding to a target frequency in the error signal through a resonance controller to obtain a first adjusting quantity; performing steady-state adjustment on a direct-current component in the error signal through the adjustment controller to obtain a second adjustment variable; performing phase rotation on the first adjusting quantity at the target frequency through a phase adjuster to obtain the first adjusting quantity after phase adjustment; superposing the first adjusting quantity and the second adjusting quantity after phase adjustment to obtain a target direct current signal; acting the target direct current signal on an inverter to control the inverter to output a target current; the target current is used for adjusting instantaneous active power exchange between the inverter and the alternating current power grid so as to adjust the direct current bus voltage, and the direct current bus voltage without secondary ripples is obtained.

The invention provides a parameter adjusting method and device of an energy storage unit, and energy storage control equipment and system, and relates to the technical field of transformer area power supply. The method comprises the following steps: acquiring output power of an energy storage unit at a plurality of moments in a preset time period, an equipment operation state and real-time residual electric quantity of the energy storage unit; according to the output power and the equipment operation state, calculating the net electric quantity exchanged between the energy storage unit and the transformer area distribution transformer in a preset time period; according to the net electric quantity and a preset residual electric quantity reference value of the energy storage unit, calculating a target residual electric quantity reference value of the energy storage unit; calculating a target reference voltage of the energy storage unit according to the target residual electric quantity reference value, the real-time residual electric quantity and the initial reference voltage; and controlling the energy storage unit to charge and discharge according to the real-time operation voltage and the target reference voltage of the energy storage unit so as to regulate and control the phase line voltage. According to the invention, the parameters of the energy storage unit can be automatically adjusted, and the automatic response capability and the scene adaptability are improved.

The invention discloses a probabilistic power supply guarantee capability assessment method considering new energy uncertainty, which comprises the steps of obtaining historical statistical data of new energy in different time periods, constructing a new energy output probability density function based on the historical statistical data, and determining new energy probability density distribution; time sequence production simulation calculation is carried out based on the source network load storage calculation boundary in the target research area, and a conventional unit output curve, a tie line power exchange curve, a pumped storage energy output curve and a demand side response working curve are obtained; based on the conventional unit output curve, the tie line power exchange curve, the pumped storage energy output curve, the demand side response working curve and the load demand curve, constructing a power demand curve which needs to be satisfied by new energy output; and based on the power demand curve and the new energy probability density distribution which need to be satisfied by the new energy output, obtaining the power gap probability and the power shortage expectation of the target time period, and carrying out supply guarantee capability evaluation based on the power gap probability and the power shortage expectation.

The invention discloses an electric vehicle quick battery replacement system which comprises a quick battery replacement box, an openable box door is arranged in front of the quick battery replacement box, a battery bin is arranged in the quick battery replacement box, and a horizontal sliding table is arranged at the bottom of the battery bin through a sliding rail unit. The horizontal sliding table slides forwards out of the quick-change battery box from the interior of the battery bin under the guidance of the sliding rail unit; a battery mounting platform is fixedly mounted on the horizontal sliding table; a transverse temporary supporting leg storage groove is formed in the bottom of the horizontal sliding table, a temporary supporting leg is transversely arranged in the temporary supporting leg storage groove, and the length of the temporary supporting leg can be adjusted; one end of the temporary supporting leg is hinged to one end in the temporary supporting leg storage groove through a damping hinge piece; the other end of the temporary supporting leg is magnetically connected with the other end of the supporting leg accommodating groove through a magnetic part; and the safety and the reliability are enhanced while the battery replacement efficiency is improved.

A control apparatus configured to: store a guaranteed value of a parameter indicating usage of a power storage system including a battery included in a mobile object at a predetermined time point in the future; calculate a value of the parameter due to travelling that is a value of the parameter at the predetermined time point due to travelling of the mobile object; calculate, based on difference values obtained by subtracting the value of the parameter due to travelling from the guaranteed values, a usable remaining usable amount of the battery for operations other than the travelling of the mobile object until the predetermined time point; and control, based on the remaining usable amount, to conduct power transmission and reception between outside of the mobile object and the battery.

The invention relates to the technical field of electric power, and particularly discloses a model-free adaptive control method for interconnected power grid AGC, and the method comprises the steps: constructing an interconnected power grid AGC system mathematical model in which multiple types of units participate; the pseudo gradient of the interconnected power grid AGC system mathematical model is calculated by using real-time input-output measurement data, and dynamic linearization is carried out on the interconnected power grid AGC system mathematical model at the operation point of each discrete moment of the interconnected power grid; constructing a weighted one-step forward control law, and adding additional regulatory factors and control items in the control law; and pre-optimizing parameters of the constructed model-free adaptive control method through an intelligent optimization algorithm. The method has the advantages that the limitation that a traditional AGC method depends on an accurate power grid frequency response model is solved, and the power grid frequency stability and the efficiency and robustness of power exchange control of all areas of the interconnected power grid are improved.

A system and a method for delivering power to an external device are disclosed. The system may include a vehicle having an inductive power exchange device that can be configured to operate in a vehicle receiving mode and a vehicle transmitting mode. In the vehicle receiving mode, the device can be configured to receive power from a power source installed on a roadway and charge the vehicle's electrical storage unit. In the vehicle transmitting mode, the device can be configured to transfer power from the vehicle's electrical storage unit to the power source, enabling the power source to supply power to an external device.The vehicle includes a processor configured to receive a trigger signal to activate the vehicle transfer mode and to activate the vehicle transfer mode in response to receiving the trigger signal to transfer power from the vehicle's electrical storage unit to the power source.

The invention provides an electricity price prediction method and device based on multi-modal data fusion and a space-time diagram neural network, equipment and a medium, and relates to the technical field of electric power. The method comprises the following steps: acquiring historical electricity price sequences and electricity price association characteristics of a plurality of preset electricity transaction areas; performing multi-component time sequence signal decomposition on the historical electricity price sequence, inputting the historical electricity price sequence into a preset TCN sub-network, and outputting a time sequence feature vector of each electricity transaction area; splicing the time sequence feature vector and the electricity price association feature of each electricity transaction region, inputting the spliced time sequence feature vector and the spliced electricity price association feature as node features into a preset GCN sub-network, and outputting a spatial feature vector of each electricity transaction region in combination with an adjacent matrix constructed by the inter-region power exchange capacity and the geographic distance; and carrying out element-by-element addition fusion on the time sequence feature vector and the spatial feature vector of each electricity transaction area, inputting the fused data to a full connection layer, and outputting a predicted electricity price sequence of each electricity transaction area. The accuracy of electricity price prediction can be improved.

This invention provides a method for calculating dynamic carbon emission factors for provincial regions based on time-segmentation. This method is based on the regional operation characteristics of the 220kV power grid, sets power exchange constraints between the 500kV main grid and the 220kV sub-regional grid, and calculates the active power consumed by various types in the 220kV region of the province at each time period. Using the 220kV power supply area as the unit spatial scale and Δt as the segment interval, the carbon emission factor of regional electricity consumption in a single time period is calculated. Regional electricity consumption curves are classified, and time periods are divided according to the temporal characteristics of regional loads. The average carbon emission factor for each region belonging to the same time period category is calculated. Based on the average carbon emission factor calculation results, a user carbon reduction model based on dynamic carbon emission factors is established. This invention can effectively quantify the carbon emissions of user-side electricity consumption behavior in different regions at different time periods, and further promote low-carbon interaction between source and load from a carbon perspective based on the dynamic carbon emission factor calculation results.

The present disclosure provides a system and method of supplying power from a vehicle to an infrastructure. A system and method for supplying power to an external device are disclosed. The system may include a vehicle having a vehicle inductive power exchange device that may be configured to operate in a vehicle receive mode and a vehicle transmit mode. In the vehicle receiving mode, the apparatus may be configured to receive power from a power source mounted on a road and charge the vehicle power storage unit. In a vehicle transmission mode, the apparatus may be configured to transfer power from a vehicle power storage unit to a power source, which enables the power source to supply power to an external apparatus. The vehicle may include a processor configured to obtain a trigger signal for activating a vehicle transmission mode, and in response to obtaining the trigger signal, activate the vehicle transmission mode to transfer power from a vehicle power storage unit to a power source.

The invention discloses an AC / DC hybrid microgrid electric energy intelligent management circuit, and relates to the technical field of hybrid microgrids, and the circuit comprises a micro-control module which controls a high-voltage conversion module and a low-voltage conversion module to supply power to a standby power supply module, carries out AC / DC electric energy interaction when an AC bus or a DC bus is unbalanced, and carries out DC / AC electric energy interaction when the power is insufficient. When the standby power supply module is in low voltage, the electric energy voltage output by the low-voltage conversion module is increased, and when the power distribution network has no power, the high-voltage conversion module is controlled to distribute power to the alternating-current power grid or the direct-current power grid according to the power distribution priority; aC electric energy provided by a power transmission and distribution network is transmitted and electric energy interaction is maintained. The AC / DC hybrid microgrid electric energy intelligent management circuit can maintain the electric energy balance of the AC / DC bus, automatically adjust the electric energy voltage gain according to the electric energy power state during the electric energy interaction, and meet the power demands of the AC / DC bus in different electric energy states.

The invention discloses a power distribution network topological structure construction method and system adaptive to a double-high characteristic, and relates to the field of topology, and the method comprises the steps: collecting double-high characteristic data through a sensor, building an evaluation system, and calculating a node comprehensive influence index; k-means clustering grouping is carried out based on the index and the geographic position, an intra-group minimum spanning tree initial topology is constructed with the transformer substation as the center, and dynamic adjustment is carried out after simulation verification; then, the inter-group power exchange requirement is determined according to the load and new energy characteristics, and the optimal contact topology is determined through multi-objective optimization; and finally, the intra-group topology and the inter-group topology are integrated to form a complete structure, and a verification model is established to test the performance under different scenes. The method has the advantages that the challenges of high-proportion new energy and power electronic equipment are effectively coped with and stable and efficient operation of a power distribution network is guaranteed by comprehensively collecting double-high data, scientifically clustering nodes, hierarchically optimizing intra-group and inter-group topologies and combining double-high scene simulation dynamic adjustment and performance verification.

The invention provides a work exchange type energy recovery device with a leakage rate detection function, which is provided with a special circulation hole, the circulation hole is not communicated with a relative low-pressure fluid inlet and a relative low-pressure fluid outlet of the energy recovery device, and an upper end cover and a lower end cover of the energy recovery device are not provided with leakage liquid guide-out channels. The shell, the upper end cover and the lower end cover form a leaked fluid collecting area, the circulating hole is externally connected with a leaked fluid discharging pipe, and a flow meter is arranged on the leaked fluid discharging pipe; the rotating assembly and the non-rotating assembly of the energy recovery device are provided with guide channels, and leaked liquid between the rotating assembly and the non-rotating assembly is guided into the leaked fluid collecting area or guided to the circulating hole. According to the invention, the fault detection problem that the most important fault high-pressure fluid leakage of the energy recovery device is too large can be solved through a low-cost scheme, and the abnormal condition can be accurately detected in real time.

A USB-C to MoCA converter includes a USB-C interface for receiving and transmitting USB-C power and data, a MoCA interface handling the reception and transmission of USB-C power and data. A MoCA data / power handling converter is configurated to manage MoCA power and data in both directions. A USB / MoCA data converter is coupled between USB-C interface and MoCA interface to determine the communication protocol and to process incoming USB-C data signals into MoCA data formats and vice versa. A power converter is coupled between USB-C interface and MoCA interface to convert USB-C voltage of the USB-C power to fit MoCA voltage. A USB-C power delivery controller is connected between USB-C interface and the power converter to power a device connected to MoCA interface. The USB-C to MoCA converter enables data and power exchange between USB-C and MoCA interfaces for promoting compatibility and smooth operation.

There is provided a computer-implemented method of managing reactive power in a power microgrid for a hydrogen electrolyzer system, the power microgrid comprising a main bus and one or more power generation elements, one or more reactive power compensators and one or more voltage regulators, the main bus being connected to the hydrogen electrolyzer system and to an external utility power grid, the method comprising: a) determining, using a control system, a value of a reactive power exchange between the main bus and the external utility grid; and b) selectively controlling, using a control system, the one or more power generation elements, the one or more reactive power compensators and / or the one or more voltage regulators of the power microgrid in order to adjust or maintain the value of the reactive power exchange between the main bus and the external utility grid within a predefined operational range.

The invention relates to the technical field of power system load management, and discloses a multi-element load collaborative optimization regulation and control method, which comprises the following steps: acquiring multi-element load data through a monitoring and data acquisition device, and representing a multi-element load nonlinear regulation behavior; a core optimization variable is determined by adopting a quasi-inverse Harris eagle optimization algorithm, a regulation and control scheme on that day is updated in combination with a historical scheme, real-time data, electricity price and load prediction, and the QOHHO algorithm gives consideration to nonlinear characteristics of multiple loads and communication delay; a single-step improved QOHHO algorithm is adopted to generate a day-ahead regulation and control plan; and in consideration of the power exchange penalty cost caused by the load deviation, modeling communication delay by adopting a preset method, and compensating a load adjustment dead zone and a rate constraint deviation through the optimized TDOF controller. The method is applied to the power distribution network containing high-proportion renewable energy sources, collaborative optimization scheduling of industrial, commercial and resident multi-element loads is achieved, and the power balance capacity, the renewable energy source consumption rate and the operation economy of the power grid are improved.

The invention discloses a mountain forest global intelligent fire monitoring and automatic disposal system. The system comprises a rainwater collection and water polo fire extinguishing unit, a wind-solar complementary power supply and robot dog battery replacement unit, a multi-sensor monitoring unit, an unmanned aerial vehicle disposal unit and an intelligent control center. The system is based on theoretical design and engineering planning, rainwater is collected and filled into a specially-made rubber water ball, and accurate throwing fire extinguishing of the unmanned aerial vehicle is achieved; wind-solar power generation and robot dog autonomous power conversion design is adopted, so that the power supply continuity of the system is ensured; through the multi-level multi-sensor fusion design, low false alarm and rapid identification of the fire behavior are realized; and a three-level fire disposal strategy is designed, and automatic disposal and manual remote takeover are supported. The water storage tank is of a heat preservation heating structure, and annual stable operation is achieved. The system is suitable for fire prevention of large-area mountain forests, realizes water source self-sufficiency, autonomous power supply, intelligent monitoring, automatic fire extinguishing and autonomous operation and maintenance in principle, and remarkably improves the early-stage handling capacity of mountain forest fires.

The application discloses a collaborative scheduling method based on an arctic sea parrot optimization algorithm and peak-valley time-of-use electricity price, belongs to the technical field of micro-grid intelligent scheduling and renewable energy management, and comprises the following steps: step S1, a micro-grid system model is established; step S2, operation constraint conditions are constructed, including the power balance and the upper and lower limit constraints of the power of each component of the micro-grid and the state constraints of the storage battery which need to be satisfied by the wind turbine, the photovoltaic, the gas turbine, the fuel cell, the storage battery and the power exchange with the power grid in the micro-grid; step S3, an objective optimization function of operation cost and pollutant emission is constructed; and step S4, the optimal scheduling scheme is output by applying the objective optimization function. The collaborative scheduling method based on the arctic sea parrot optimization algorithm and the peak-valley time-of-use electricity price can significantly improve the optimization precision and convergence efficiency of the system, meanwhile, the high reliability and robustness of the scheduling process are ensured, and finally, the intelligent collaborative scheduling of the micro-grid energy is realized.

The invention relates to a micro-grid group-containing power distribution network operation method and device, equipment and a medium. The method comprises the steps of obtaining predicted output data of each power generation device and each load in a target power distribution network in a current time period in response to an operation optimization request for the target power distribution network, determining power exchange data between the target power distribution network and a micro-grid group according to the predicted output data based on a cooperative operation model, according to the configuration information and the operation constraint information of the target power distribution network and the energy storage output data of the micro-grid group, optimizing the operation of the target power distribution network according to the power exchange data between the target power distribution network and the micro-grid group and the energy storage output data of the micro-grid group, and constructing operation cost information of the micro-grid group and operation constraint information of each power node. The method can improve the reliability of operation adjustment of the power distribution network.

A home energy system includes a distribution assembly with a power bus coupled to interfaces for a utility grid, home loads, distributed energy resources (DERs), and an electric vehicle (EV). Measurement circuitry obtains electrical parameters at the interfaces, and a power control system (PCS) controller monitors an aggregate parameter relative to a capacity constraint of the distribution assembly. When the aggregate exceeds the constraint, the PCS controller commands the DER or EV to reduce active power exchange. If the condition persists for an interval, the PCS controller actuates a relay switch to electrically isolate the DER or EV.

This invention belongs to the technical field of self-healing coordinated control for low-frequency faults in power grids. Specifically, it relates to a method for self-healing coordinated control of low-frequency faults in a local power grid integrating source, grid, load, and energy storage. This method includes: firstly, real-time acquisition of the power grid system frequency, frequency change rate, tie-line power, and energy storage state of charge; after identifying low-frequency faults, generating a predicted frequency trajectory; determining the frequency safety margin index and classifying fault levels based on tie-line power; allocating power regulation amounts hierarchically according to response speed priority; executing frequency recovery; synchronously and dynamically adjusting the reverse power protection blocking duration and tie-line power exchange boundary; determining whether preset exit conditions are met; if not, correcting the regulation amounts; and finally, exiting control step-by-step in reverse sequence to achieve self-healing recovery of low-frequency faults in the local power grid. This invention improves the accuracy of frequency recovery and the power supply stability of the local power grid by performing self-healing coordinated control of low-frequency faults.

The application discloses a kind of green power carbon reduction quantity accounting methods of inter-provincial transmission based on network topology, belong to carbon emission accounting technical field.The method includes: determining carbon reduction quantity accounting object, accounting space-time boundary and accounting basic mode;Based on inter-provincial power exchange data, construct the power transmission network topology model with provincial power grid as node, with power transmission relationship between power grid as directed edge;Based on accounting parameter, calculate the carbon reduction quantity basic accounting unit corresponding to each directed edge in power transmission network topology model;All carbon reduction quantity basic accounting units related to basic mode are executed directional aggregation operation, and the target carbon reduction quantity is output.The present application can realize standardization accounting to carbon reduction quantity in the discretization green power inter-provincial transmission scene, provide scientific, efficient quantification method for accounting carbon reduction quantity of green power inter-provincial transmission, provide reliable data source for quantifying ecological value of green power inter-provincial transmission and dividing regional carbon reduction responsibility.

This invention relates to a two-stage collaborative scheduling method for forest fire emergency material delivery that considers flexible battery swapping for drones. The method includes constructing an attention-weighted priority evaluation system based on fire point accessibility and urgency; building a truck-drone two-stage collaborative delivery model that combines offline global planning with online dynamic adjustment; designing an attention-weighted ant colony-tabo search hybrid algorithm to solve for the optimal path in the model; establishing an adaptive two-layer emergency allocation and rescue mechanism to dynamically allocate tasks to newly added demand points; using trucks as mobile charging stations for drones to achieve flexible battery swapping for drones and seamless vehicle-drone takeoff and landing coordination; and simultaneously updating vehicle and demand point status in real time through a rolling update mechanism to respond to abnormal situations and continuously execute the scheduling plan until delivery is completed. This invention can adapt to complex forest fire emergency material delivery scenarios with road blockages and dynamically changing demands, effectively reducing operating costs and shortening task completion and material delivery response times.

The invention discloses a composite energy storage system integrating a super capacitor and a storage battery and a control method, and relates to the technical field of power electronics and energy storage. The first storage battery pack is connected to the direct-current bus through the first bidirectional DC / DC converter and executes voltage regulation and energy transmission; the second super capacitor bank is connected to the direct current bus through the second bidirectional DC / DC converter and executes high-frequency power exchange and transient response; the first storage battery group and the second super capacitor group are connected in parallel to form a double-energy-storage branch and share the bidirectional alternating current conversion unit with the direct current bus; the control unit controls the first storage battery pack to execute energy scheduling under rated voltage according to the voltage state of the power grid, controls the second super capacitor bank to provide transient power support during voltage sag, and controls the first storage battery pack to output continuous energy to perform power grading compensation; the system provided by the invention realizes the cooperative operation of the double energy storage branches, and has the capability of quick response and dynamic scheduling.

A planning method and system for integrated photovoltaic-energy storage-charging-swapping stations considering iterative electricity and transportation demand is presented. This method first constructs a rolling planning model for integrated photovoltaic-energy storage-charging-swapping stations within a power-transportation coupled network, aiming to minimize the overall system charging and swapping cost. Then, the rolling planning model is solved iteratively to obtain a planning scheme for the integrated photovoltaic-energy storage-charging-swapping station that includes configuration schemes for charging and swapping, photovoltaic and energy storage facilities, charging and swapping and transportation demand allocation schemes, and power-transportation coupled network expansion schemes. This invention considers the impact of technological upgrades, changes in user demand, and network expansion on the supply and demand relationship of charging and swapping services during different planning periods. By continuously optimizing the planning and operation schemes of charging and swapping stations and the power-transportation coupled network, it minimizes the overall system charging and swapping cost while meeting the time-varying charging and swapping and transportation needs of electric vehicle users.

A method for managing power trading to sell power of a renewable energy power plant according to an embodiment may comprise the steps of: generating an initial bid by using a first predicted power generation value of the renewable energy power plant; transmitting the initial bid to a power exchange server within a predetermined initial bidding period; generating a prior-revised bid by using an overbid capacity generated on the basis of the first predicted power generation value and a second predicted power generation value of the renewable energy power plant; transmitting the prior-revised bid to the power exchange server within a predetermined prior-revision bidding period; generating a real-time-revised bid by using the overbid capacity generated on the basis of the first predicted power generation value and the second predicted power generation value of the renewable energy power plant; and transmitting the real-time-revised bid to the power exchange server within a predetermined real-time revision bidding period.