172 results about "Power exchange" patented technology

The present disclosure relates to the technical field of new energy power generation, and provides an operation control method for an electric-hydrogen coupling system, and an electric-hydrogen coupling system. According to the present disclosure, prediction related parameters corresponding to power station power and power station power instruction related parameters are acquired, and in order to achieve optimal economic efficiency while meeting grid power exchange limitation requirements, a power station power adjustment instruction and an electrolytic cell power adjustment instruction corresponding to each moment are acquired.

The invention relates to the field of power distribution system simulation, in particular to a power distribution and micro-grid coordination wide-area balance regulation and control method and system in a multi-micro-grid access scene, and the method comprises the steps: carrying out the cluster division of a plurality of micro-grids based on the electrical coupling degree and net power between the micro-grids; using a pre-constructed multi-energy coupling source load prediction model to cluster resources of an area where the micro-grid is located, and performing load prediction on the divided clusters based on the clustered resources to obtain a group composed of the clusters, the resources and corresponding loads; based on the group, a target cascade method is adopted to solve a pre-constructed zone area or micro-grid layer optimization model, a feeder line level optimization model and a region layer optimization model to realize dispatching optimization of the power distribution network and the micro-grid; by constructing the multi-layer optimization model, the power exchange cost, the power generation cost and the environment cost between the micro-grid and the power distribution network can be optimized, and economic operation of the system is achieved.

The invention relates to the technical field of power distribution network self-balancing capability evaluation, in particular to a power distribution network self-balancing capability evaluation method and system. The method comprises the following steps: in the operation process of a power distribution network, acquiring real-time operation parameters of load concentration nodes, and recording the real-time operation parameters in a sampling time sequence form; when the collected real-time operation parameters exceed a preset stable threshold value, marking the node as a trigger node, recording a disturbance event of the node, and analyzing a recovery index of each node after each disturbance; calculating the power exchange capacity between the adjacent nodes based on the node recovery indexes, judging whether a synergistic effect exists between the nodes, calculating the relative recovery speed between the nodes, and identifying the node with the maximum recovery speed difference value as a self-balancing bottleneck node; through power distribution network self-balancing capability evaluation, the disturbance recovery characteristics of the power distribution network are quantified, bottleneck nodes are accurately identified, and effective evaluation of the self-balancing capability is realized.

The invention discloses an industrial park micro-grid optimization scheduling method based on electric furnace load active adjustment. The method comprises the following steps: constructing an economical operation objective function for generating power by using a thermal power generating unit to share blast furnace gas of a steel mill; dynamically adjusting the maximum exchange power between the micro-grid and the public grid by iterating the shrinkage constraint, and calculating a minimum feasible value to reduce basic electricity price expenditure; taking the gear of the electric furnace transformer as an adjusting variable, and constructing a load adjusting constraint model containing a fixed load and an adjustable load; the micro-grid adopts a double-bus topology, power mutual assistance is realized through a back-to-back converter, and a distributed power supply, an energy storage system and a new energy power generation set are configured. The method can efficiently utilize energy and reduce the operation cost; the public network expenditure is reduced by dynamically optimizing power exchange; the system flexibility is improved by flexibly regulating and controlling the load; new energy fluctuation is stabilized, and stability is enhanced; the double-bus structure realizes grid-connected and off-grid switching, improves reliability, and is suitable for iron and steel enterprises to improve the utilization rate of renewable energy sources and reduce operation cost.

The invention discloses a regional power distribution method and system for distributed new energy consumption, and relates to the technical field of power systems, and the method comprises the steps: obtaining regional power distribution network data, and constructing a power distribution network analysis model; based on the power distribution network analysis model, dividing the regional power distribution network into a plurality of energy autonomous units by calculating the electrical distance and the power sensitivity; calculating an energy complementation index and a load elastic coefficient of each energy autonomous unit, and constructing a unit feature model; dynamically adjusting the active power and reactive power output of the distributed new energy in each energy autonomous unit according to the unit characteristic model; and monitoring the operation state of the energy autonomous units, implementing a cooperative control strategy, and adjusting power exchange between the energy autonomous units. According to the energy autonomous unit division method provided by the invention, the tightly coupled node group can be accurately identified, the nearby consumption and efficient utilization of new energy are realized, and the power transmission and distribution loss is reduced.

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 invention belongs to the technical field of power systems, and particularly relates to a day-ahead scheduling method for a building light storage direct-flexible energy microgrid with friendly power exchange. Comprising the steps that a mathematical model of the negative carbon building light storage direct-flexible energy microgrid is constructed, so that the complex operation characteristics of the negative carbon building light storage direct-flexible energy microgrid are converted into quantifiable optimization problems; wherein the mathematical model comprises a power generation constraint model, a power balance constraint model, a peak-valley difference and volatility constraint model, a storage battery constraint model, a phase change heat storage system operation constraint model and a water supply system operation constraint model; constructing a target function of an optimal scheduling model by taking the minimum total operation cost of the negative carbon building light-storage direct-flexible energy microgrid in a scheduling period as a target; wherein the total operation cost comprises an economic cost item, an environmental cost item and a power grid interaction optimization demand cost item. After the heat and water storage system is introduced, except for the friendly cost of a power grid, other costs are remarkably reduced.

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 relates to the technical field of intelligent construction and engineering transportation management, and discloses an electric heavy truck earth-rock transportation battery replacement and path optimization method and device, and the method comprises the steps: carrying out the dynamic decision of an earth-rock transportation path of an electric heavy truck according to a battery remaining capacity value and a driving state data set in combination with a work order state information set; the limitation of path planning and vehicle electric quantity state separation in the prior art is broken; and based on the earth-rock transportation path candidate set, a battery swap station sorting list is formed, a traditional fixed nearby battery swap or preset station allocation mode is abandoned, and dynamic screening of the battery swap stations is realized. Furthermore, by constructing a target strategy model based on reinforcement learning, joint optimization solution of the path and the power conversion strategy is realized, an optimal joint decision can be continuously output in a complex environment with strong time variation, strong coupling and multiple constraints, synchronous optimization of the path and power conversion is realized, and the waiting time of power conversion is reduced.

The invention discloses a hierarchical coordination control method and device for a hybrid energy storage system, and relates to the field of power regulation and control, the method comprises a day-ahead peak regulation step, a real-time frequency modulation step and an SOC recovery step, the day-ahead peak regulation step comprises the steps of determining a target load curve of a power grid, determining a peak regulation demand according to the target load curve, and performing SOC recovery according to the peak regulation demand. Calling at least part of capacity of the energy-type energy storage battery energy storage system according to the peak regulation demand to realize peak regulation operation on the power grid system; the real-time frequency modulation step comprises the sub-steps of calling the residual capacity of an energy type energy storage battery energy storage system, a power type energy storage flywheel energy storage system and a photovoltaic system in real time to realize frequency modulation operation on a power grid system; the SOC recovery step comprises the step of realizing SOC recovery operation of the hybrid energy storage system by coordinating power exchange of the hybrid energy storage system and a power grid system; and systematic coupling modeling between multiple types of energy storage resources and multiple power grid service tasks is realized.

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 method and system for managing shared energy resources in an energy community, wherein said energy community comprises a plurality of users (20) having one or more items of electrical equipment to be powered. Said energy community defining a DER system and comprising shared batteries (2) for storing electrical energy / power and an apparatus (30) for the production of electrical energy / power, preferably renewable, connected with said batteries (2) so that the electrical energy / power produced can be stored in said batteries (2); said method being characterised in that a control step is carried out in the following manner:discharging into the grid (100) the energy / power stored in the batteries (2) so as to decrease the value of energy / power stored in the batteries (2) (Ebatt) in order to increase the total energy / power exchanged (Egrid_community);charging the batteries (2) by means of said apparatus (30) for the production of electrical energy / power so as to increase the value of energy / power stored in the batteries (2) (Ebatt) in order to lower the total energy / power exchanged (Egrid_community).

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 belongs to the technical field of transient overvoltage suppression, and particularly discloses a multi-reactive-power-source coordinated optimization method for transient overvoltage suppression of a new energy sending end, which comprises the following steps: constructing a new energy sending end system equivalent model, calculating reactive power exchange between a converter station and an alternating current system after direct current blocking, and further analyzing to obtain a new energy sending end system equivalent model when direct current blocking occurs. A converter station bus transient overvoltage expression; constructing a constraint condition and an optimization target of a multi-reactive-power-source collaborative optimization model of the new energy sending-end system according to the converter station bus transient overvoltage expression; and inputting annual output data of the new energy system and related parameters of each device into the new energy sending end system multi-reactive-power-source collaborative optimization model, outputting an output sequence of each reactive power source, and completing multi-reactive-power-source collaborative optimization for new energy sending end transient overvoltage suppression. According to the method, the problems that calculation is difficult due to the complexity of a new energy system and transient overvoltage is aggravated due to dynamic characteristic change caused by new energy access are solved.

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 application discloses a main-distribution coordination power grid operation optimization method based on data analysis and belongs to the technical field of power grid operation control. The method collects the bus voltage on each side of a main grid transformer, tie line power, and the output of a distributed power source of a distribution grid, the state of charge of energy storage, and the interruptible capacity of a flexible load, and constructs a boundary power exchange characteristic vector of the main-distribution grid; according to the correlation degree of the characteristic vector and the over-limit risk of each node voltage of the distribution grid, a boundary coupling node set is screened, a virtual power injection equivalent device is arranged at the set, and the support capacity of the main grid to the distribution grid is quantified as an adjustable power interval of the boundary node; the adjustable power interval and the regulation dead zone of each distributed power source in the distribution grid are subjected to intersection operation to generate an initial feasible region of main-distribution coordination regulation and control; and the on-load voltage regulating switch position of the main grid transformer, the capacity of the capacitor bank, and the charging and discharging power of the energy storage of the distribution grid and the flexible load reduction amount are subjected to joint iterative optimization with the feasible region as a constraint, so that the regulation and control reliability is improved.

The invention provides a power conversion cabinet convenient to maintain, and belongs to the technical field of power conversion cabinets. The battery replacement cabinet convenient to maintain comprises a cabinet body, an overhaul bin is formed in the upper end of the cabinet body, a battery bin is formed in the lower portion of the cabinet body, a telescopic frame is arranged in the overhaul bin, a hollow mounting frame is movably hinged to the telescopic frame, charging equipment is mounted on the mounting frame, and a spring-shaped cable is arranged between the mounting frame and the cabinet body. And the charging equipment is electrically connected with the battery compartment through the cable. The charging equipment maintenance device has the advantages that the installation frame and the charging equipment are moved out of the maintenance bin through the telescopic frame, then the installation frame is turned over downwards, the charging equipment is completely exposed, maintenance is convenient, and electrical connection between the charging equipment and the battery bin can be kept through the spring-shaped cable.

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.