290 results about "Load regulation" patented technology

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 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 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.

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 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 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 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 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.

The invention provides a supercritical carbon dioxide power generation working medium pressure adjusting system, belongs to the technical field of power generation system working medium pressure adjusting, and can at least partially solve the problems that in the existing unit start-stop and load adjusting process, the system pressure is greatly changed, normal operation of a unit is affected, and the working efficiency is low. The system comprises a power generation module, and the power generation module comprises a compressor and a heat regenerator connected with the compressor through a pipeline; the carbon dioxide working medium circulating system is provided with the gas storage tank, part of the carbon dioxide working medium is stored in the gas storage tank through the differential pressure of the high-pressure part and the low-pressure part of the circulating system, the working quality of the circulating system is adjusted, and the carbon dioxide working medium circulating system has the advantages of being simple and convenient to operate.

The invention discloses a time-sharing segmented regulation and control method linked with a charging load of a distribution transformer system, which relates to the technical field of intelligent power grids, and comprises the following steps: dynamically segmenting the time linked with the charging load of the distribution transformer system all day long, and providing a time division basis for time-sharing regulation and control; the output power and the access sequence in the charging process are dynamically adjusted, and closed-loop linkage regulation and control between the distribution transformer system and the charging load are completed; and generating a regulation and control decision adaptive to the current operation environment, and completing adaptive adjustment in the time-sharing and segmented regulation and control process. According to the method, accurate prediction of the charging load of the distribution transformer system and fine division in the time dimension are realized, the perspectiveness and adaptability of load regulation and control are improved, the equipment operation safety and the user charging satisfaction degree are improved, a regulation and control decision can be dynamically evolved according to the actual operation environment, and the user experience is improved. The intelligent linkage and fine management of the charging load and the distribution transformer system are realized, and the operation efficiency of the power distribution network and the utilization benefit of electric energy are improved.

The invention provides a space refrigeration load regulation type virtual power plant regulation characteristic and boundary modeling method. The method comprises the following steps: constructing a space refrigeration load monomer discrete physical model; constructing a load polymer model by integrating a consistency control algorithm and the load monomer discrete physical model; using statistics to represent load polymer model parameters and curve parameters; calculating polymer model parameters based on the load equipment monomer parameter statistics; based on the difference between the basic model time scale and the actual scheduling time scale, updating the multi-time scale aggregation model parameters; and based on the updated multi-time scale aggregation model, calculating an adjustment boundary by comprehensively considering power constraint and energy constraint, and quantitatively evaluating the maximum up-regulation power and the maximum down-regulation power of the virtual power plant under the specified adjustment duration. According to the method, the adjustment characteristics and the adjustment boundary of the space refrigeration type load virtual power plant are accurately described, a parameter dynamic updating mechanism is designed for different scheduling cycles, and the time scale adaptability of the model is enhanced.

The invention relates to the technical field of power supply regulation and control, and discloses an intelligent power supply adaptive regulation and control system based on edge calculation, which comprises a data acquisition module, a load prediction module, a regulation and control decision module and an execution and feedback module. Through a three-level architecture of cloud collaboration, edge autonomy and terminal response, the whole process link of intelligent power supply regulation and control can be fully covered, traditional power supply centralized power supply and single load regulation and control are concerned, and factors such as real-time calculation decision, equipment health state, environmental parameter influence and local energy storage dynamic linkage of edge calculation are also included. And a'prediction-decision-execution-feedback 'closed-loop regulation and control system is deeply constructed, so that a regulation and control result can be more accurately matched with dynamic power utilization requirements in complex scenes such as industrial high-frequency equipment and new energy fast charging, and more scientific support is provided for efficient utilization and stable supply of power resources.

The invention discloses a power demand response collaborative optimization method and device based on flexibility sharing, equipment and a medium, and relates to the technical field of power system demand response, and the method comprises the steps: obtaining load flexibility demands and load flexibility supply cost information reported by all target users participating in power demand response collaborative operation; the load flexibility demand is a power vector difference between an actual load curve and a standard load curve after each target user independently adjusts the load, and the load flexibility demand and the load flexibility supply cost information are input into a preset power demand response collaborative optimization model; determining a corresponding power demand response collaborative scheme through a preset power demand response collaborative optimization model; and executing the power demand response coordination scheme to perform flexible settlement and flexible transaction surplus distribution according to the execution condition of the target user. The execution of a demand response cooperation scheme based on flexibility sharing is realized, and the economical efficiency and reliability of load regulation are improved.

The invention relates to the technical field of power transmission line load regulation and control, in particular to a power transmission line dynamic load regulation and control method suitable for a high-voltage power transmission system. Determining the fluctuation coefficient of the current load of the power transmission line at each moment; obtaining the frequency of the oil field high-voltage power transmission system at each moment, and taking the frequency as the center frequency of a Butterworth filter at each moment; determining the order of a Butterworth filter at each moment by using the numerical value of the fluctuation coefficient, and optimizing the Butterworth filter in combination with the center frequency and the order; and carrying out harmonic extraction on the current signal at each moment by using the optimized Butterworth filter, and carrying out current compensation based on a harmonic component. The precision of power transmission line load regulation and control is improved.

The invention provides an intelligent lighting and energy consumption management system of a rail transit vehicle. The intelligent lighting and energy consumption management system comprises a vehicle working condition-space environment fusion sensing module; a passenger flow space-time distribution accurate analysis module; an illumination load-whole vehicle energy consumption coupling calculation module; an energy storage-network voltage cooperative load regulation module; a hierarchical dynamic illumination driving module; and an energy consumption closed-loop feedback and strategy self-optimization module. The design limitation of a traditional lighting system is broken through, lighting load precise adaptation, power supply source optimal distribution, energy consumption collaborative optimization and system strategy self-iteration are achieved, lighting experience, driving safety, power supply stability and whole vehicle energy consumption rationality are considered, and all-working-condition and all-scene operation requirements can be met without manual intervention.

The invention discloses a full-bridge synchronous rectification circuit, which realizes self-driving of two PMOS (P-channel Metal Oxide Semiconductor) tubes of a full-bridge synchronous rectification structure through a gate-source clamping self-driving module, and controls gate-source voltages of the two self-driving PMOS tubes when an output voltage Vo is high, so that the gate-source voltages of the two self-driving PMOS tubes are always clamped in a voltage withstanding range of the two self-driving PMOS tubes, and the problem of overvoltage breakdown is solved. The working voltage range is expanded, and the circuit reliability is improved. In addition, the gate source clamping self-driving module can release excessive energy when the voltage of the rectification output end abnormally drifts high, the load regulation rate can be optimized, and the problem that the output abnormally drifts high can be relieved or avoided.

The invention discloses a frequency modulation collaborative optimization method and system for a coal power unit, and belongs to the technical field of coal power heat supply coupling system operation control, and the method comprises the steps: applying step disturbance to a steam turbine control valve and a heat supply system control valve under different stable load working conditions of the coal power unit, and collecting dynamic response data; calculating the heat storage capacity of the unit and the heat supply system, and establishing a peak regulation and frequency modulation dynamic model fusing the two; formulating an integrated auxiliary frequency modulation intelligent control strategy based on the model, and dynamically optimizing a load regulation quantity distribution scheme of a unit coordination system and a heat supply system by adopting an improved genetic algorithm; the control strategy is fused into an original INFIT optimization control platform of the unit, and an optimal unit load instruction and a heat supply system control valve opening instruction are calculated and sent in combination with the distribution scheme; and through a closed-loop feedback mechanism based on model prediction control, the operation state is monitored in real time, the instruction is dynamically adjusted after deviation analysis with the model prediction state, and efficient frequency modulation collaborative optimization of the coal power unit is realized.

The invention provides a low-voltage cabinet overload early warning method and device based on current harmonic recognition, and relates to the technical field of power supply, and the method comprises the steps: carrying out the current double-side real-time monitoring of a low-voltage cabinet, and generating an input side current harmonic feature vector and N output branch current harmonic feature vectors; performing overload main cause positioning analysis, and outputting real-time overload early warning; if the main factor is the input side overload main factor, branch overload contribution degree quantification is carried out, and N overload risk weight factors are output; global collaborative load reduction of the N output side devices is carried out; and if the main factor is the output side overload main factor, analyzing and generating an output side load reduction strategy based on harmonic-load coupling disturbance characteristics of the real-time main factor branch equipment on N-1 output side equipment after isolation. The technical problem that the load adjustment of the whole system is unbalanced due to the fact that the load adjustment method mostly depends on manual judgment and lacks dynamic adjustment and optimization of the whole load condition of the power supply system in the prior art is solved.

The invention belongs to the technical field of electrical engineering, and particularly relates to a power distribution network simulation deduction and load regulation and control method based on Internet of Things data, which comprises the steps of acquiring multi-source Internet of Things data and performing timestamp checking, topology consistency deduction and cross-source error reforming to form a standardized power grid state data set; constructing a cross-scale operation feature based on the data set, generating a panoramic operation situation through topology and time sequence alignment, inputting the panoramic operation situation into a reinforcement learning agent, executing exploration in a simulation environment to generate an extreme compound fault scene, extracting risk severity from the scene, constructing a risk evolution path, and obtaining a risk evolution result; the method comprises the steps of identifying key induction nodes and easy-to-diffuse links, constructing a defensive load regulation and control strategy oriented to a causal chain, performing multi-working-condition simulation verification on the strategy, constructing an optimized regulation and control strategy set based on simulation deviation, and driving a power distribution network control system to execute load regulation and control actions so as to improve system stability and risk suppression capability.

The invention provides a thermal power plant load adjusting system, a monitoring method, electronic equipment and a storage medium, and relates to the technical field of power plant operation control. A data acquisition module is integrated to acquire preprocessing operation data, a prediction module predicts power grid load and boiler response, a digital twinning module predicts key component thermal stress and equipment safety constraints, and an optimization decision module generates an optimal control track based on prediction data and the safety constraints. The cooperative control module adopts a model predictive control algorithm to perform rolling optimization and an execution feedback module to convert a control instruction and feed back a result, and the modules cooperate to realize real-time data processing, precise working condition prediction, dynamic equipment state management and control and dynamic control strategy optimization. The problems that in the prior art, load response is slow, equipment is prone to being damaged due to thermal stress, efficiency is low under the non-design working condition, and emission is high can be solved.

The present application relates to circulating fluidized bed boiler technical field, specifically provide based on the load regulation control method and device of coal powder circulating fluidized bed collaborative combustion, the method includes steps, in response to the load regulation instruction of target power grid, according to preset load threshold and load regulation instruction are judged, the target working state of target boiler is determined;Load regulation instruction includes load variation and load change rate;Target boiler includes circulating fluidized bed boiler and coal powder burner;In the case where the target working state is the first state, according to load variation and load change rate, the output of circulating fluidized bed boiler and the output of coal powder burner are adjusted and controlled;In the case where the target working state is the second state, the output of coal powder burner is controlled to be preset steady-state output, and the output of circulating fluidized bed boiler is adjusted and controlled according to load variation.The present application can effectively improve the overall load change rate.

The application provides a piezoelectric motor control method, system, device and storage medium. The vibration deviation of a piezoelectric ceramic slider in the motor during reciprocating retraction is determined, the rotor eccentric vibration data is divided according to the vibration deviation, the vibration damping component of the piezoelectric ceramic slider during reciprocating retraction in each vibration adjustment data segment is extracted, the target piezoelectric motor non-controllable load gradient is determined according to all vibration damping components and the dynamic balance sequence of the vibration of the piezoelectric motor during operation, the heat overheat fault tolerance entropy of the heat during motor power output is extracted according to the heat load loss set, the controllable load gradient of the target piezoelectric motor is determined according to the overheat fault tolerance entropy and the static balance sequence of the temperature of the piezoelectric motor during operation, the balance adjustment amount is determined according to the non-controllable load gradient and the controllable load gradient, and then the dynamic operation characteristics of the target piezoelectric motor during operation are regulated and controlled through the balance adjustment amount, so that the operation instability regulation and control of the piezoelectric motor in the load regulation process is realized.

The application discloses a frequency modulation cooperative optimization method and system for a coal power unit, and belongs to the technical field of operation control of a coal power heating coupling system, and comprises the following steps: under different stable load conditions of the coal power unit, step disturbances are applied to turbine regulating valves and heating system regulating valves, dynamic response data are collected, the heat storage capacity of the coal power unit and the heat storage capacity of the heating system are calculated, and a peak regulation and frequency modulation dynamic model integrating the two is established; based on the model, an integrated auxiliary frequency modulation intelligent control strategy is formulated, an improved genetic algorithm is used to dynamically optimize the load regulation amount distribution scheme of the coordinated system of the coal power unit and the heating system; the control strategy is integrated into the original INFIT optimization control platform of the coal power unit, the optimal coal power unit load instruction and the heating system regulating valve opening degree instruction are calculated and sent in combination with the distribution scheme; and through a closed-loop feedback mechanism based on model predictive control, the operation state is monitored in real time, deviation analysis is performed on the model predictive state, the instruction is dynamically adjusted, and efficient frequency modulation cooperative optimization of the coal power unit is realized.

The utility model relates to a kind of tap lead arrangement structure of on-load voltage regulating transformer, including transformer, oil tank, on-load tap changer, A phase connecting line, B phase connecting line and C phase connecting line, on-load tap changer is arranged in the long axis direction of transformer and close to A phase winding outside, on-load tap changer separately provides A phase, B phase and C phase tap contact, A phase connecting line is connected to A phase tap contact after being led out from A phase high-voltage winding tap;B phase connecting line is led to transformer body lower clamp again along horizontal direction through lead clamp to on-load tap changer lower part, again vertically upwardly connected to B phase tap contact after being led out from B phase high-voltage winding tap vertically downwardly;C phase connecting line is led to transformer body lower clamp again along horizontal direction through lead clamp to on-load tap changer lower part, again vertically upwardly connected to C phase tap contact after being led out from C phase high-voltage winding tap vertically downwardly.The utility model can reduce the distance between winding and tank wall, solve the problem of large volume and heavy weight of transformer.

The application provides a temperature-controlled load frequency response comprehensive inertia control parameter design method. The method comprises the following steps: a temperature-controlled load is integrated into a frequency response model of a power system by using comprehensive inertia control; a frequency response frequency domain expression of the system is obtained; a design scheme is given for response delay, droop control parameters and virtual inertia control parameters by considering the dual constraints of system frequency stability and load regulation capacity; and the design scheme has great reference significance for additional frequency response control of the temperature-controlled load.