422 results about "Load regulation" patented technology

The invention relates to the technical field of charging pile group load intelligent regulation and control, and particularly discloses a charging pile group load intelligent regulation and control method and system based on dynamic power equalization, and the method comprises the steps: collecting the oil temperature of a transformer in real time, calculating a total output power threshold value, and correcting the actual output power of a charging pile through combining the line loss and the equipment aging degree; a multi-dimensional load regulation and control decision matrix including user priority, equipment health degree and power regulation sensitivity is established, a dynamic power strategy is allocated through matrix weight, power allocation is inclined to high-priority users and health equipment, emergency power allocation and progressive readjustment during newly-added demands are supported, and the power regulation and control efficiency is improved. Impact of sudden power change on a power grid is avoided, system stability is ensured when newly added loads are accessed, refined intelligent regulation and control of loads of the charging pile group are finally realized, transformer safety, charging efficiency and user experience are improved, and power grid stability and resource optimization configuration are ensured.

The invention relates to the technical field of intelligent control, in particular to an intelligent power optimization scheduling method in a new energy grid-connected scene, which comprises the following steps of: acquiring a current load, a rated load, an adjustment rate and a temperature rise value through a data interface, and normalizing to generate a characteristic parameter matrix; the product of the adjusting rate and the temperature rise value is used for calculating the correlation degree with the aging factor to obtain an elastic weight, extracting the voltage stability and the weight, inputting the voltage stability and the weight into a Dijkstra algorithm to screen a path meeting the safety margin, monitoring the slope of an inertia change curve, adjusting a compensation coefficient through fuzzy PID control, and feeding back the compensation coefficient to correlation degree calculation. According to the method, multi-source parameters are fused through a rule tree structure, the load regulation rate and the aging factor weight are dynamically distributed, bus voltage stability and elastic weight path optimization are combined, a synchronous inertia margin safety correction system is constructed, the system response precision, the state cooperation efficiency and robustness are improved, local optimum is avoided, and the system reliability is improved. And the standby capacity configuration and the frequency advance correction capability are optimized.

The invention discloses an electric power collaborative operation method, system and device based on new energy and a medium, and belongs to the technical field of electric power collaborative operation, and the method comprises the steps: obtaining the real-time output data of a new energy access point and the demand data of a load node, and constructing a collaborative operation unit according to the topological information of a power grid; evaluating the load regulation capability of each cooperative operation unit in combination with the new energy access condition, and generating a first regulation and control instruction; when the new energy load regulation capacity in the cooperative operation unit is insufficient, a second regulation and control instruction is generated; the scheduling process is monitored in real time, the cooperative operation strategy is dynamically corrected according to the difference between the new energy output and the load demand, and the overall operation efficiency of the power system is improved. According to the method, the cooperative operation unit is constructed, new energy output prediction and load regulation capability evaluation are fused, local quick response and cross-regional intelligent cooperation of new energy fluctuation are realized, and the operation flexibility and new energy consumption capability of a power system are effectively improved.

The invention relates to the technical field of power conversion, and discloses an intelligent power converter system based on adaptive load regulation and a control method thereof. Comprising a power converter body, a plurality of sockets of different types are arranged on the power converter body, and a load sensing sensor, a micro-control unit, a step-down circuit and a bridge circuit are arranged in the power converter body; the load sensing sensor is electrically connected with the micro-control unit and is used for monitoring the power requirement of equipment connected with each socket in real time and transmitting a corresponding monitoring signal to the micro-control unit; the micro-control unit is electrically connected with the step-down circuit and the bridge circuit, and is used for controlling the step-down circuit and the bridge circuit to adjust output voltage and current according to a monitoring signal transmitted by the load sensing sensor; the micro-control unit controls the step-down circuit and the bridge circuit to automatically adjust the output voltage and current of the corresponding jacks according to the equipment power requirement monitored by the load sensing sensor, so as to realize the self-adaptive load adjustment of each jack.

The invention provides a power generation regulation and control method for a photovoltaic power generation system. The power generation regulation and control method for the photovoltaic power generation system comprises the following steps: S1, real-time monitoring and data acquisition: (1) various sensors are deployed in the photovoltaic power generation system, and solar radiation intensity data, photovoltaic module temperature data, cell panel output voltage data, current data and inverter output data are monitored in real time through the various sensors; (2) combining external meteorological data of environment temperature, humidity and air pressure to realize all-around system state acquisition; s2, maximum power point tracking (MPPT) and optimal load adjustment: (1) when the illumination condition changes, a multi-objective optimization algorithm is adopted, so that the working mode of the inverter can be adjusted in real time; the power generation regulation and control method for the photovoltaic power generation system has the advantages that the power generation efficiency of the photovoltaic system can be effectively improved, the stability and the reliability of the photovoltaic system are enhanced, and meanwhile the operation cost is reduced.

The invention discloses a high-load regulation and control method and system for a power distribution network, and relates to the technical field of power distribution network regulation and control, and the method comprises the following steps: obtaining first data of the power distribution network in real time, carrying out the dynamic partitioning of the power distribution network based on the first data, and generating a sub-region set; establishing a multi-time scale optimization model, and obtaining an optimal regulation and control instruction set by taking the sub-region set as a unit; executing the regulation and control instruction through a master-slave game coordination mechanism, and verifying a regulation and control effect; and when voltage out-of-limit or reverse power is detected, rolling correction is triggered, and constraint conditions of the optimization model are updated. According to the method, communication delay of centralized regulation and control and global mismatch of distributed regulation and control are avoided through a master-slave game mechanism, when voltage out-of-limit or reverse power is detected, distributed power supplies with high influence nodes are preferentially adjusted based on voltage-power sensitivity sorting, and robustness and economical efficiency of a power distribution network in a high-fluctuation scene are improved.

A load control device for regulating an electrical load includes: a support component including a connection portion; a knob frame including a gripping portion and an elastic portion, the gripping portion at least partially surrounding the support component and configured to drive the knob frame to rotate in response to a rotational force acting thereon, the elastic portion configured to move toward the connecting portion in response to the knob frame moving in a first direction, thereby undergoing elastic deformation; a first circuit board component; a switch trigger component; a switch component coupled to the first circuit board component, for controlling the load in response to triggering and releasing the triggering from the switch trigger component; and an adjustment component coupled to the first circuit board component, for adjusting the load in response to the rotation of the knob frame. The load control device simultaneously realizes rotation and pressing functions of the knob frame. A system including the load control device is also disclosed.

A load control device for regulating an electrical load includes: a support component including a connection portion; a knob frame including a gripping portion and an elastic portion, the gripping portion at least partially surrounding the support component and configured to drive the knob frame to rotate in response to a rotational force acting thereon, the elastic portion configured to move toward the connecting portion in response to the knob frame moving in a first direction, thereby undergoing elastic deformation; a display assembly disposed on a side surface of the knob frame facing away from the support component; a circuit board component disposed adjacent the display assembly; a switch component disposed on the circuit board component, for controlling the load in response to triggering and releasing the triggering; a switch trigger component for applying the triggering and releasing the triggering to the switch trigger component; and an adjustment component for adjusting the load in response to the rotation of the knob frame. The load control device allows for a more flexible arrangements of the switch trigger component, and makes the structure more reliable. A system including the load control device is also disclosed.

The invention discloses a dynamic load regulation-based DC charging pile power optimization device and optimization method, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining electric energy quality data through extracting a voltage deviation and a total harmonic distortion rate, outputting a prediction value of the electric energy quality data through an electric energy quality prediction model, and calculating a deviation rate; constructing a regional charging network, inputting the regional charging network into the multilayer graph attention network, and outputting a regional electric energy quality evaluation value; a time dimension weight vector is calculated based on the deviation rate, a space dimension weight vector is calculated based on the regional power quality evaluation value, an adaptive weight vector is calculated according to the time dimension weight vector and the space dimension weight vector, a reinforcement learning model is constructed, and an optimal strategy is obtained; the optimal strategy is executed, the actual charging power and the actual charging time period are collected, the total charging amount, the total charging demand, the charging demand response rate and the charging expenditure are calculated and fed back to the reinforcement learning model, the reinforcement learning model is continuously optimized, and the electric energy quality is improved.

The invention discloses a power distribution method and device for an urban power grid, a medium and equipment, and belongs to the field of power distribution.The method comprises the steps that firstly, electric heavy truck, air conditioner and resident load data of all parks in the urban power grid are collected in real time, and the charge state, power capacity and power grid time-of-use electricity price information of shared energy storage are synchronously obtained; and then inputting the data into a double-layer flexible resource-shared energy storage decision model obtained by'historical data + income maximization 'training, and cooperatively optimizing upper-layer energy storage economic benefits and lower-layer multi-park flexible resource utilization under power coupling constraint through mixed integer programming. Outputting a charging and discharging power distribution instruction of shared energy storage and a flexible resource regulation and control instruction of each park; finally, energy storage charging and discharging and park load adjustment are controlled in a closed-loop mode according to the instruction, accurate, real-time and economical distribution of urban power grid power is achieved, and the problem that in the prior art, optimal adjustment of a power grid cannot be achieved with economic maximization as the target is effectively solved.

The invention provides a deep intelligent coordination method for a thermal power generating unit, which comprises the following steps of: acquiring and preprocessing data, introducing a coefficient based on coal quality analysis and dynamically adjusting in a dry state coordination optimization stage, calculating and adjusting the coal feed quantity and the feed-forward quantity of the water feed quantity according to the conditions of the unit and a power grid by combining predictive control and an intelligent feed-forward technology, and improving the load adjusting capability. In the wet-dry and dry-wet conversion steps, the water level of a separator, steam and feed water flow are continuously monitored, conversion is triggered according to set conditions, equipment such as a feed pump is coordinated to act, and stable conversion is guaranteed. During wet state coordinated optimization, the water level of the separator and the feed water flow are stabilized by using a PID or intelligent algorithm, main steam pressure and load are adjusted by using model predictive control and the like, and meanwhile, a wet state characteristic and an equipment limitation constraint instruction are considered. According to the method, the intelligent coordination level of deep peak regulation of the thermal power generating unit is comprehensively improved, and the operation efficiency, stability and flexibility of the unit are enhanced.

The invention discloses a method for optimizing the AGC load regulation rate of a power station, and the method comprises the steps: building a digital twinborn body of a unit, building a boiler thermal positive and negative balance model, a fuel heat value prediction model and a self-adaptive control parameter library based on the historical operation data of a target unit, and receiving and processing the operation data of the unit in real time; dynamically predicting a boiler theoretical calorific value demand corresponding to the AGC instruction by using a long-short-term memory recurrent neural network, and calculating a deviation between an actual calorific value and a theoretical calorific value; when the deviation exceeds a preset threshold value, multi-mode cooperative compensation control of feed-forward compensation, parameter self-tuning and energy closed-loop calibration is implemented in parallel; the AGC instruction response time is controlled within 50-55 seconds, and model self-updating is achieved through online tracking. According to the method, the defects that traditional thermal power station fuel calorific value calibration is slow in response, a single control model is difficult to deal with complex problems, AGC response time is long and the like are overcome, the power station AGC load regulation rate and thermal power generating unit frequency modulation performance are remarkably improved, and power grid frequency stability is guaranteed.

The present invention relates to a virtual power plant load regulation method, device and medium, belonging to the field of virtual power plant load regulation technology, comprising the following steps: obtaining load instruction data of the virtual power plant; determining the load resource scheduling cost, demand response capacity deviation penalty, and load response willingness and reliability equivalent cost of the virtual power plant based on the load instruction data; constructing a load instruction decomposition objective function of the virtual power plant with the goal of minimizing the load resource scheduling cost, demand response capacity deviation penalty, and load response willingness and reliability equivalent cost of the virtual power plant; formulating constraints corresponding to the load instruction decomposition, solving the load instruction decomposition objective function based on the constraints to obtain the load regulation instruction of the virtual power plant; and regulating the load of the virtual power plant according to the load regulation instruction. The present invention can achieve the goal of reducing the operating expenses of the virtual power plant while meeting the load demand.

The invention discloses a rapid load adjusting system of a steam turbine generator unit, and relates to the technical field of control of steam turbine generator units of thermal power plants. The system comprises a condenser, a circulating water input pipeline, a circulating water output pipeline, a steam turbine generator unit, a fin type heat exchanger, a cooling medium storage tank, a cooling medium conveying pipeline, an automatic temperature control flow regulating valve, a first temperature detector, a second temperature detector, a telecontrol terminal unit, a unit actual power detection mechanism and a DCS control device. The fin type heat exchanger is integrated in the circulating water input pipeline, the input end of the cooling medium conveying pipeline is connected with the output end of the cooling medium storage tank, the output end of the cooling medium conveying pipeline is connected with the fin type heat exchanger, and the automatic temperature control flow regulating valve is installed on the cooling medium conveying pipeline. Through the arrangement, the load response speed of the steam turbine generator unit under the severe working condition can be effectively improved on the premise that the complexity and the cost of the system are not obviously increased.

The invention belongs to the technical field of emergency power supply systems, and particularly discloses a diesel generator load regulation method and system based on dynamic load regulation, and the method comprises the following steps: obtaining the power generation output quantity of wind power and solar power generation, collecting the real-time load power demand, and obtaining the power generation output quantity of the wind power and solar power generation; judging whether the real-time generating capacity of wind power and solar energy meets the real-time load electricity demand or not, predicting the load electricity demand and the generating capacity of wind power and solar energy, and determining a stability index of the electricity utilization system according to the real-time load electricity demand and the predicted load electricity demand; determining the initial load of the diesel generator according to the real-time load electricity demand, the stability index and the generating capacity of wind power and solar energy; and establishing a target function, and scheduling the diesel generator based on the predicted load electricity demand and the initial load. By adopting the technical scheme, the power output of wind energy, solar energy and diesel generators is flexibly dispatched, and the energy source is timely adjusted according to the dynamic change of the load.

The invention belongs to the technical field of power systems, and discloses a thermal power generating unit coordinated variable load control method and system based on unit energy storage, and the method comprises the steps: constructing an energy storage quantification model and a steam turbine energy conversion model according to an energy storage unit and a conversion unit, the total energy storage capacity of the thermal power generating unit thermodynamic system is calculated in combination with a weighted summation method; calculating an energy storage regulation factor of the thermal power generating unit based on the real-time energy storage state, the regulation sensitivity and the efficiency factor, and determining the regulation priority of the thermal power generating unit according to the energy storage regulation factor; and solving a load distribution scheme satisfying collaborative optimization of coal consumption, equipment loss and tracking precision by using a multi-objective optimization algorithm, and executing load distribution through a hierarchical control architecture. According to the method, the load adjusting capacity of the thermal power generating unit can be effectively improved, coal consumption increase and equipment loss caused by load fluctuation are reduced, meanwhile, the economical efficiency and safety of unit operation are improved, and powerful support is provided for stable operation of a modern power grid.

The invention relates to the technical field of charge and discharge control, in particular to a V2X charge and discharge cooperative control system based on dynamic multi-objective optimization, which comprises a voltage characteristic identification module, a response capability evaluation module, a scheduling matching mapping module, a task load distribution module and a cooperative regulation and control judgment module. According to the method, rapid adaptive response data acquisition in a voltage regulation dead zone is realized through multi-node transient voltage response identification, a synchronization vector is constructed by using response time, an instability characteristic and a precision grade, vehicle synchronization capability is normalized and measured, and dynamic scheduling layering of multiple vehicles is realized by constructing a difference sorting mechanism in combination with regulation tolerance. A regulation and control mapping relation is established according to a task load regulation rate, consistent matching and dynamic adaptation of vehicle scheduling and load change are realized, the adaptation capability of a vehicle energy response behavior to a dynamic demand of a power grid is remarkably improved, a coordinated discharge task under multi-target constraint is met, and the problems of time lag and unbalanced response are reduced.

The invention provides a comprehensive energy self-adaptive scheduling method based on meteorological prediction, and aims to solve the problems that an existing energy system lags in response to meteorological disturbance and is insufficient in load regulation precision, and the comprehensive energy self-adaptive scheduling method comprises the following steps: fusing second-level meteorological disturbance data, electrical load power data, energy storage device charge state data and power grid boundary power flow data; constructing a disturbance response feature set, and establishing a time correlation mapping structure between a disturbance variable and a load variable; according to the method, a disturbance trend is predicted based on a mapping structure, an index set of disturbance direction, intensity and sensitive sections is formed, a dynamic regulation capability vector is generated in combination with a current load state, a scheduling optimization model meeting multiple operation constraints is constructed on the basis, a cooperative control strategy set is output, and the dynamic regulation capability vector is obtained. Finally, the control strategy is converted into a control instruction, the control instruction is accurately acted on a power generation device, an energy storage device and a load device, second-level dynamic self-adaptive scheduling of the comprehensive energy system on meteorological disturbance is achieved, and the system response capacity, stability and energy utilization efficiency are improved.

The invention discloses a power grid load optimization regulation and control method and system, and the method comprises the steps: constructing a self-adaptive prediction module, an intelligent regulation and control system and a power failure risk assessment module, and enabling the self-adaptive prediction module to carry out the dynamic prediction of the operation state of a power grid based on the current state data of a power grid system, and generating a target load regulation and control strategy of the power grid; the intelligent regulation and control system generates an updated state reward value according to the target load regulation and control strategy and a state reward function used for evaluating load balance of the power grid, and regulates and controls the power grid according to the target load regulation and control strategy when it is judged that the updated state reward value is smaller than a reward value threshold value; and the power failure risk assessment module is used for identifying different operation modes of the power grid, assessing power failure risks in the modes and feeding back the power failure risks to the adaptive prediction model so as to continuously optimize the regulation and control strategy. According to the invention, the problems of untimely monitoring, slow regulation and control response, rigid scheduling strategy and the like of stable section management during the power failure of the power grid in the prior art are solved, the reliable operation of the stable section during the power failure of the power grid is ensured, and the efficiency and flexibility of power grid scheduling are improved.

The invention discloses a freezing plant load carbon emission reduction potential evaluation method fusing TimesNet and PatchTST, and belongs to the technical field of power system regulation and control, and the method comprises the steps: predicting a carbon emission factor corresponding to unit power consumption per hour based on multi-dimensional time sequence characteristics; constructing a load regulation capability prediction model to obtain the maximum load up-regulation capability and the maximum load down-regulation capability under the permission of the equipment boundary and the process constraint; based on the carbon emission factor and the maximum load up-regulation capability and down-regulation capability, establishing a load carbon emission reduction potential evaluation model, and outputting a carbon emission reduction potential; according to the load carbon emission reduction potential evaluation method, through a freezing plant load kilowatt-hour electricity carbon emission factor prediction method based on TimesNet, the capability of capturing multi-time scale periodicity and trend is fully utilized, and power grid carbon emission data and a regional load structure are combined, so that dynamic prediction of carbon factors is realized.

The utility model discloses a peak regulation and capacity increase system suitable for a supercritical unit, which is characterized in that excessive heat energy and electric energy are stored in fused salt through organic fusion of a steam-fused salt energy storage technology and an electric heating fused salt energy storage technology in the off-peak period of a power grid, and the generated output of a thermal power generating unit is reduced; and in the peak period of the power grid, the stored high-temperature fused salt is used for generating supercritical parameter steam, and the supercritical parameter steam and steam generated by the boiler enter the steam turbine together to do work through expansion, so that the power generation power of the unit is improved. The bidirectional load regulation of the supercritical thermal generator set is realized, and the flexibility of the set is greatly improved. The system disclosed by the utility model not only can reduce the power generation output of the unit in a low-load stage, but also can increase the peak capacity of the unit in a high-load stage, has double effects of downward peak regulation and upward capacity increase, is an important regulation technology for a future high-capacity thermal power generating unit, particularly a supercritical unit, and has a wide application prospect. The method plays an important role in construction of a novel power system.

The invention discloses an electric power and computing power coordinated regulation and control method and system, and relates to the field of load regulation and control, and the method comprises the steps: obtaining the electric power data of a power generation side and the electric power data of a computing power center, inputting the electric power data into a preset multi-target coordinated optimization algorithm, and obtaining the power generation and consumption data of a target time period meeting the requirements of the minimum power consumption cost and the maximum green power consumption, load distribution parameters are generated in combination with load demand data of the computing power center, and power generation and utilization loads of a computing task, computing power equipment, refrigeration equipment, a power generation side and the like of the computing power center are accurately controlled in a target time period. Through collaborative optimization of the power generation side and the computing power center, the green power intermittency and the computing power load fluctuation are effectively balanced, the green power consumption rate is improved, the power consumption cost of the computing power center is reduced, and the power supply and computing power operation stability is guaranteed.

The invention discloses a power grid bearing capacity expansion method and device, equipment, a medium and a product, and relates to the technical field of power grid dispatching, and the method comprises the steps: screening out power distribution networks of which the load rates or the openable capacities do not meet corresponding preset requirements according to the load rates and the openable capacities of different levels of power distribution networks; the different levels of power distribution networks comprise the low-voltage power distribution network, the medium-voltage power distribution network and the high-voltage power distribution network; according to the charging scenes of different charging areas and the cascade response differentiation regulation strategy, the bearing capacity of the power distribution network which does not meet the corresponding preset requirement is expanded by the flexible load matrix; and the cascade response differential regulation and control strategy flexible load matrix is used for representing the charging load regulation potential under different response degrees of different regulation strategies in different charging scenes. According to the invention, the stability of power distribution network charging can be improved.

The invention discloses a load optimization scheduling method and system based on a thermodynamic and electrical coupling model, relates to the technical field of load scheduling, and solves the technical problem that the existing load adjustment method neglects the coupling relationship between thermodynamic characteristics and electrical parameters of devices, resulting in poor adjustment effect. The method comprises the steps of obtaining operation data of load equipment; processing the operation data to obtain initial data; extracting and fusing multi-dimensional data features of the initial data to obtain a model input vector; constructing a thermodynamic and electrical parameter coupling model; the optimal scheduling strategy is generated based on the coupling model and the optimization algorithm, and the technical problem is solved.

The invention discloses a layered optimization method considering fused magnesium high-energy-consumption load regulation and thermal power depth peak regulation, and relates to the technical field of power system optimization, and the method comprises the steps: bringing a fused magnesium high-energy-consumption load into a power system regulation system based on the production characteristics of a fused magnesium furnace, and constructing a fused magnesium load scheduling model in which the load participates in power grid scheduling; a thermal power depth peak regulation model is established in combination with the operation characteristics of the thermal power generating unit after flexible transformation; according to a game theory, constructing a grading decision model comprising an upper layer leader and a lower layer follower; the upper-layer leader aims at minimizing the wind curtailment amount, and the lower-layer follower aims at minimizing the operation cost of the system; and by solving the grading decision model, determining the peak regulation participation condition of the thermal power generating unit and the system operation cost, and obtaining an optimal scheduling result. According to the method, the high-energy-consumption fused magnesium load is brought into power grid optimization scheduling, and the wind power absorption capacity and the peak regulation performance are effectively improved.

The invention relates to a self-adaptive load adjusting method in charging pile test equipment and related equipment, and the method comprises the following steps: carrying out the multi-dimensional electrical parameter collection and analysis of a target charging pile, and obtaining initial electrical data; performing output power fluctuation state calculation on the target charging pile based on the initial electrical data to obtain output power fluctuation state parameters; if the output power fluctuation state parameter exceeds a preset threshold value, carrying out load type identification on the to-be-charged equipment based on the output power fluctuation state parameter to obtain a load type; based on the load type, carrying out load adjustment strategy selection on a target charging pile to obtain a load adjustment instruction; through the IGBT driving circuit arranged in the target charging pile, power output control is carried out on the target charging pile based on the load adjusting instruction, the target output power is obtained, and the technical problems that how the charging pile can stably work under various conditions and how to intelligently adapt to different types of load requirements are solved.

The invention discloses a distributed photovoltaic consumption capability improvement method and system based on network reconstruction, and belongs to the field of low-voltage power distribution networks, and the method comprises the steps: obtaining the historical node load, line parameters and other data of a power distribution network, considering the randomness, position, capacity and load demand uncertainty of photovoltaic power generation, employing a Monte Carlo method based on a block matrix, and carrying out the optimization of the distribution network. Simulating the operation state of the power grid in each scene through load flow calculation; through statistical analysis and a binary marking system, voltage out-of-limit is identified, a load distribution optimization model is established, constraint conditions are determined, an optimal load adjusting quantity is solved, and the proportion of voltage out-of-limit users is calculated to judge whether reconstruction needs to be carried out or not. And determining a feasible load transfer path based on the optimal load regulation quantity and the state of the interconnection switch, determining a reconstruction scheme, carrying out constraint check, and selecting an optimal reconstruction scheme. The method effectively improves the photovoltaic access capability, optimizes the network operation, reduces the voltage out-of-limit risk, and enhances the power grid stability.

The invention relates to the technical field of transformer substation monitoring, and discloses an intelligent remote control platform and real-time monitoring control method for an unattended transformer substation, and the method comprises the steps: building a vibration footprint circular ring, collecting a vibration acceleration signal, and carrying out the positioning and contribution degree calculation of a vibration source; constructing a vibration propagation attenuation model, executing multi-stage vibration shadow stripping, and generating an equipment vibration feature vector and a time-varying matrix; establishing a dynamic energy distribution map to identify weak faults, predicting fault trends, constructing an equipment health state prediction matrix, executing an intelligent load regulation strategy, and generating a system optimization control instruction sequence; according to the method, the problem of feature separation under mutual coupling interference of multi-equipment vibration signals is solved, particularly under the condition of a low signal-to-noise ratio, weak fault features of the equipment are accurately recognized through time domain and space dual decoupling, potential faults are found in advance, the precision and timeliness of preventive maintenance are improved, and the method is suitable for popularization and application. And a powerful guarantee is provided for safe and stable operation of the unattended substation.

The invention belongs to the technical field of hybrid pumped storage power station dispatching, and particularly discloses a multi-time-scale nested hybrid pumped storage power station dispatching method and device, and the method comprises the steps: constructing a multi-objective function with the maximum power station income and the minimum power grid residual load peak-valley difference as the objective; based on the multi-objective function, sequentially carrying out optimal scheduling on the hybrid pumped storage power station according to a plurality of time scales from large to small to obtain a system model; converting the system model into a mixed integer linear programming model; and solving the mixed integer linear programming model to obtain a scheduling result. According to the method, the economic benefit of power station operation and the load regulation capability of a power grid can be remarkably improved, the complexity of nonlinear model solution is effectively reduced, and the scheduling efficiency and accuracy are improved.

The invention discloses a vehicle-mounted V2G charging and discharging module multi-target cooperative control method and system. Relates to the technical field of electric vehicle control. Comprising the steps that historical charging and discharging data of multiple electric vehicles are collected and preprocessed; determining a multi-target constraint condition based on the preprocessed historical charging and discharging data of the electric vehicle, and constructing a weighted multi-target optimization function; adaptive vehicles meeting multi-target constraint conditions are screened through a voltage characteristic identification and response synchronism evaluation method, and a scheduling sequence is generated; establishing load distribution mapping based on the spatial and temporal distribution characteristics of the electric vehicle, the load regulation rate and the scheduling sequence, and generating a charging and discharging strategy according to a mapping result; the real-time running state of the electric vehicle is monitored in real time, the charging and discharging strategy is dynamically adjusted, and multi-target optimization balance is achieved.