178 results about "Load regulation" patented technology

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 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 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 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 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 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 application discloses a layered collaborative control method for auxiliary deaerator pressure stabilization of a molten salt steam generator, builds an auxiliary optimization control layer on the original coordination control system of the unit, and forms a layered collaborative architecture of "MPC optimization decision-CCS execution tracking". The upper layer calculates and rolls over the optimal set values of the molten salt steam pressure, the deaerator pressure and the feedwater temperature in real time based on model predictive control (MPC); the lower layer realizes fast and stable tracking of the set values through three control loops of cascade-ratio control, three-impulse collaborative control and PID control embedded in CCS, and is seamlessly coordinated with the original feedwater and combustion control logic of the unit. The application effectively solves the problems of multivariable strong coupling, large response inertia and strong mode switching impact of the coal-molten salt coupling system in deep load regulation, significantly improves the load response speed, operation safety and low-load economy of the unit, and enhances the accommodation capacity of the power system to new energy.

This disclosure presents a load regulation method and apparatus, electronic equipment, and storage medium. Through this application, the operating modes of the main feedwater line and the flow regulation bypass can be differentiated between normal unit operation and load regulation conditions, allowing for targeted switching. The flow regulation bypass enables precise control of feedwater flow during load regulation, eliminating the need for frequent operation of the original feedwater bypass's non-regulating three-way valve. Therefore, this solves the technical problems of existing thermal power units where the original feedwater bypass lacks flow regulation functionality, frequent operation of the three-way valve during load regulation leads to leakage, affects unit operating economy, and feedwater flow regulation fails to meet the unit's rapid load response requirements. This achieves the technical effects of precise feedwater flow control, prevention of three-way valve leakage, improved unit operating economy and reliability, and increased unit load response rate.

The application provides a wind farm reactive power coordination method and device and a storage medium, relates to the technical field of reactive power coordination, and specifically comprises the following steps: collecting environment parameters and power operation parameters of a wind farm, calculating a temperature and humidity adaptability index, a wind power benefit index, a load regulation index and a voltage stability index; combining the wind power benefit index, the load regulation index and the voltage stability index to generate an initial reactive power coordination index, correcting the initial reactive power coordination index by using the temperature and humidity adaptability index to obtain a comprehensive reactive power coordination index; collecting historical time series data of the wind farm, constructing a reactive power coordination model based on a deep learning algorithm, training the model by using the historical time series data, obtaining a trained reactive power coordination model, taking the comprehensive reactive power coordination index of the current wind farm as input, and adjusting reactive power according to a reactive power coordination strategy output by the model. The application improves the operation efficiency and stability of the wind farm in a dynamic power grid environment.

The application provides a three-phase load cooperative regulation method and system based on smart meter data, and relates to the technical field of load regulation. The method comprises the following steps: collecting three-phase currents of corresponding users through each smart meter; calculating the positive sequence current effective value, negative sequence current effective value and negative sequence current of each three-phase current; combining the positive sequence current effective value and negative sequence current effective value corresponding to each three-phase current to obtain the line energy of the quantitative power distribution area imbalance degree; determining whether the line energy triggers the regulation process based on the gradient field theory, if yes, determining the adjustable negative sequence admittance of the user corresponding to each smart meter to quantify the compensation capacity of each user to the negative sequence current; taking the offset of the negative sequence current as the constraint, calculating the adjustable negative sequence admittance real part and the adjustable negative sequence admittance imaginary part, and uploading the adjustable negative sequence admittance real part and the adjustable negative sequence admittance imaginary part to the dispatching terminal; performing three-phase load cooperative regulation through the dispatching terminal, otherwise, returning to collect the three-phase current again.

The application discloses a transformer area load peak shaving and valley filling cooperative regulation method based on an intelligent fusion terminal, and relates to the technical field of transformer area load regulation.The application obtains a load prediction curve and a controllable load curve of a target transformer area through historical load data prediction, identifies a peak-valley section in the load prediction curve in combination with a target optimization range, performs peak shaving on a peak section in combination with the controllable load curve, generates a load scheduling strategy for the purpose of valley filling on a valley section, and executes the load scheduling strategy by using the deployed intelligent fusion terminal, so as to realize the peak shaving and valley filling of the load of the target transformer area.The application can accurately predict by using a hyperbolic curve, avoid traditional load blind regulation, ensure the accuracy of the regulation direction by dynamic peak-valley identification, cooperatively reduce transformer overload and voltage drop by shifting and reducing strategies, improve the stability of a power distribution network, reduce the waste of high-peak light abandonment and low-valley resource idling, and significantly improve energy utilization efficiency.

The invention provides a switching power supply control device, method and system, electronic equipment and a storage medium. The switching power supply control device is connected with a switching power supply circuit; the switching power supply control device comprises a control module, a switch module, an acceleration capacitor, a detection module and a feedback module. When the switching power supply circuit is started, the acceleration capacitor is connected to the output positive electrode of the switching power supply circuit, so that the starting overshoot of the switching power supply circuit can be inhibited through the acceleration capacitor, the load regulation rate of the switching power supply circuit is monitored, and when the load regulation rate is detected to be too large, the switching power supply circuit is started. The acceleration capacitor is considered to influence the output stability of the switching power supply circuit, and at the moment, the acceleration capacitor is disconnected, so that the output voltage overshoot can be effectively inhibited, and stable output can be maintained under different load conditions.

This invention discloses a differential circuit, comprising: an input pair, a first load, an adjustment circuit, a current generation circuit, and a mobility follower circuit. The adjustment circuit includes: a constant transconductance bias circuit, a current generation circuit, and a mobility follower circuit. The constant transconductance bias circuit generates a bias current; the current generation circuit generates a compensation current, including a reference circuit for generating one or more compensation currents or a compensation current generation circuit for generating one or more compensation currents based on the bias current; the mobility follower circuit generates an adjustment current based on the bias current and the compensation current, or generates an adjustment current based on the bias current and the compensation current. According to the differential circuit of this invention, by using the adjustment current as the bias current of the input pair and the calibration input current at the output of the differential circuit, zero-temperature-drift offset voltage can be achieved in the differential circuit, and low offset voltage can be achieved across the entire temperature range.

The invention discloses a charging load regulation and control method, platform, system and device for a charging station. The method comprises the steps of obtaining power data of a charging gun in a charging state in the charging station; according to the power data of the charging gun and the SOC value of the battery in the charging state, predicting and calculating to obtain a charging power parameter value in a preset regulation and control interval; and regulating and controlling the current charging load of the charging station according to the regulation and control plan parameter value and the charging power parameter value issued by the power grid dispatching system. According to the invention, the charging power parameter value of the charging gun is predicted, and the power limit value of the charging gun is calculated, so that the load of the charging station is accurately regulated and controlled, and the charging expectation of a user and the operation limit of a power grid are met. The technical effects of realizing non-inductive response and improving the participation heat of the charging operator in the power grid demand response are achieved.

The invention provides a flexible load regulation and control method and system, and relates to the technical field of power distribution and utilization of a power system. Comprising the following steps: S1, acquiring electric power, indoor temperature and environment temperature data of each flexible load user, preprocessing the data, and uploading the data to an edge calculation layer; s2, the edge calculation layer obtains a transformer area total load curve in a specific time period in the future by using the data after data preprocessing and adopting an ARIMA time sequence prediction model; s3, the edge calculation layer compares the total load curve with the upper limit of the safety load of the transformer area through a decision control module, judges whether an overload risk exists or not, and generates a cooperative control strategy according to the risk level; s4, the user side execution equipment receives the cooperative control strategy and adjusts the operation state of the flexible load equipment, and meanwhile, the actual load and temperature changes are monitored; systematized and intelligent management of the electric heating load of the transformer area is achieved, and a fine regulation and control mechanism of multi-dimensional cooperation and flexible adjustment is constructed.

The invention relates to the technical field of power distribution network optimization, in particular to a power distribution network operation optimization method considering multiple uncertainties. According to the method, a robust optimization framework considering multiple uncertainties and relevance of a distributed power supply, a novel flexible load and distributed energy storage is constructed, so that the limitation that modeling is dispersed and resource coupling is ignored in a traditional method can be effectively overcome, random characteristics and association relationships of wind and light loads are accurately described by utilizing probability distribution and Cholesky decomposition, and the robustness of the distributed power supply, the novel flexible load and the distributed energy storage is improved. And the flexibility of the system is enhanced through energy storage dynamic balance and flexible load regulation and control, efficient solving is realized by adopting mixed integer linear programming and a column-constraint generation algorithm, and finally, on the premise of ensuring the voltage safety of the power distribution network, the power flow stability and the equipment capacity limitation, the new energy consumption capability is remarkably improved, and the system operation economy is optimized. And a scheduling scheme with high robustness and high implementability is generated.

The invention discloses an energy storage method, system, equipment and medium for quick start and wide load operation, and relates to the technical field of energy storage, and the method comprises the steps: controlling a first energy storage unit to be connected with a grid preferentially to realize quick response, and starting a compressed air energy storage unit at the same time. After load switching, when the system needs to operate below the safety boundary, the first energy storage unit absorbs power, and the low-load operation capacity of the system is cooperatively expanded. According to the invention, second-level quick start of the energy storage system is realized, and the emergency response requirement of a power grid is met. According to the method, by presetting the safe operation boundary and adopting the cooperative control strategy, the technical problems that the minimum output limitation of a traditional compressed air energy storage system is strict, and the low-load peak regulation capacity is insufficient are solved, and the load regulation range of the system is greatly widened. Therefore, the energy storage system not only can provide rapid frequency support, but also can carry out safe deep peak regulation, and the support capability and the operation flexibility of a power grid are remarkably improved.

The invention discloses a charge and discharge resource prediction method, device and equipment based on user travel characteristics, and relates to the technical field of power resource scheduling, the method comprises the following steps: obtaining a prediction scene and a dynamic map of the prediction scene, the dynamic map comprising a plurality of function areas; based on a preset electric vehicle travel model and a dynamic map, obtaining a driving behavior of the user in the prediction scene; based on the driving behavior and battery characteristic parameters of the vehicle driven by the user, predicting charging and discharging power boundaries in different time periods; and aggregating the charging and discharging power boundaries of all vehicles in the same time period and the functional area to obtain the space-time distribution of the charging and discharging resources in the prediction scene. Therefore, more reliable and finer data support is provided for load regulation and control, charging facility planning and vehicle network interaction strategy making of the power grid side, prediction deviation of the electric vehicle charging and discharging resources is reduced, and the accuracy of time-space distribution testing of the electric vehicle charging and discharging resources is improved.

The invention relates to the technical field of hydroelectric energy, and the method comprises the steps that a two-stage starting mode is adopted, an opening limit self-adaption function is configured, the starting opening degree of a speed regulator is set according to single machine operation, the speed regulator influences the load of another machine by adopting power mode closed-loop control, power is added to a global variable for memory, and the speed regulator is controlled to be in a closed-loop mode. The method is used for the stable load function condition of the speed regulator in the opening mode, automatic switching is achieved through the opening mode when a power part breaks down, and a unit operates stably. According to the method, the load fluctuation of the speed regulator under one-hole double-machine disturbance can be reduced, and the unit overload phenomenon caused by the abnormal working state of the unit is reduced. The automatic load adjusting capacity and reliability of the unit in operation are improved, and the situation that the unit is damaged due to non-planned shutdown caused by unit overload is prevented. And the phenomena of overload and slip load caused by hydraulic fluctuation and excessive active power disturbance of the unit in unit load regulation are prevented.

The invention belongs to the technical field of power dispatching and operation, and particularly provides a negative electricity price scene-oriented source-grid-load-storage collaborative interaction and marginal cost optimization system and method, and the method comprises the steps: monitoring the state of a power market through a data collection module, predicting the supply and demand conditions of the system, and judging that there is a negative electricity price risk; calculating real-time marginal cost of the schedulable resources, wherein the real-time marginal cost comprises power generation resource marginal cost, energy storage resource marginal cost and load regulation marginal cost; establishing an optimization model by taking the minimization of the total marginal cost of the system as a target, and solving to obtain an optimal scheduling scheme of each resource; converting the optimal scheduling scheme into a specific control instruction, issuing the specific control instruction to each resource main body of a source, a network, a load and a storage, and executing power generation adjustment, charging and discharging or load interruption operation; and monitoring the execution effect of each resource instruction and the actual clearing electricity price of the market in real time, calculating the execution deviation, and carrying out rolling correction in the next optimization period. According to the invention, early warning of the negative electricity price risk can be realized, and global optimization scheduling is carried out on the source network load storage resources.

The application relates to the technical field of power load regulation, and discloses a method and system for dynamic scheduling of charging pile power. The method comprises the following steps: obtaining a real-time data sequence containing a basic load and a charging pile load, and obtaining a load fluctuation trend after denoising by using a Kalman filtering algorithm; calculating an instantaneous change rate of the basic load, and determining a power offset amount that needs to be compensated on the charging pile side when the instantaneous change rate exceeds a preset change threshold; inputting the power offset amount into a proportional-integral-derivative control algorithm to generate a preliminary power scheduling instruction for each charging pile; verifying and amplitude correcting the preliminary power scheduling instruction in combination with an upper limit of a total load of a transformer area to obtain an optimized power scheduling instruction; controlling each charging pile to adjust output power, generating a scheduled total load curve and performing stability verification; and when a verification result does not satisfy a preset safety threshold, updating Kalman filtering algorithm parameters and using the updated Kalman filtering algorithm parameters for subsequent real-time data processing. The method can improve the real-time performance, stability and safety of transformer area load regulation.

The invention relates to the technical field of energy internet control, and discloses a virtual power plant load optimization control method based on demand response. The method comprises the steps that real-time operation data and a power grid instruction are automatically obtained, dynamic behavior characteristics such as the load change rate and the fluctuation period are mined after data cleaning, and a load control strategy draft is generated according to the dynamic behavior characteristics. And then configuring control node parameters and collecting performance data, obtaining a current dynamic operation constraint of the system through simulation calculation, carrying out load distribution optimization solution on the condition, and finally generating a control instruction sequence and carrying out deployment execution. According to the method, the matching degree of the control strategy and the actual load response capability is improved through load dynamic behavior characteristic analysis, the feasibility of the optimization result is ensured by utilizing the dynamic constraint defined by simulation feedback, and more accurate and safer virtual power plant load regulation is realized.

The application discloses a kind of local power distribution system load regulation methods.For the deficiency of prior art load shedding frequent switching action, the application determines the preliminary load regulation instruction of current control cycle according to the demand over-limit risk assessment result of current control cycle, and on this basis, the demand over-limit risk of next control cycle is estimated, then combined with the demand over-limit risk estimation situation twice, with the optimization target of reducing load shedding and access action frequency, the preliminary load regulation instruction of current control cycle is optimized and adjusted, so that the load can meet the total power demand limit value requirement under the premise of guaranteeing, the load shedding and access action frequency is greatly reduced, the service life of each load feeder switch is extended, and the system safety and reliability is improved.The application also discloses a kind of local power distribution system load regulation device and a kind of local power distribution system.The application can reduce the load shedding and access action frequency, and extend the service life of each load feeder switch.

This invention discloses a multi-level delayed voltage regulation method for on-load tap changer that considers the timing characteristics of photovoltaic output in the field of power system automation and distribution network operation control technology. The method includes: generating a regulation delay time corresponding to the current operating state based on voltage fluctuation levels, candidate time sequence stages, and a pre-constructed set of operating constraints; adjudicating the action priority based on the regulation delay time and pre-set action priority rules, according to feasibility criteria for different regulation actions, thereby pre-defining the feasible operating state space of the on-load tap changer during daily operation; and scheduling the regulation behavior of the reactive power regulating device during daily operation in a time-segmented manner based on reactive power output optimization and switching control results and the pre-definition of the feasible operating state space. This invention can solve the technical problem that existing on-load tap changer methods are unable to effectively suppress ineffective or repetitive voltage regulation actions, affecting equipment lifespan.

The present application relates to the technical field of power line, and particularly relates to a load for power line information leakage prevention test, which comprises a box body, the inside of the box body is hollow, one side of the box body is provided with a radiator, and the inside of the box body is provided with a partition plate; a collector is arranged in the inside of the box body and located at one side of the partition plate; a controller is arranged at one side of the box body, and one side of the controller is provided with an impedance test port; a load is arranged in the inside of the box body, and one side of a transmission block is provided with an input connector; a radial staged variable resistance assembly is arranged in the inside of the load, and the radial staged variable resistance assembly comprises an adjusting module and a variable resistance module. Compared with the prior art, the variable resistance module is arranged, the step-by-step buffer crimping mechanism effectively disperses the heat load, the problem of rough adjustment and response lag of the traditional load is solved, and the working condition coverage and data accuracy of the leakage test are significantly improved.

The invention belongs to the technical field of nuclear power plant steam turbine control, aims to solve the problems of complex load setting operation and insufficient safety verification in an existing nuclear power steam turbine control system of an existing steam turbine, and discloses a load adjusting method for a nuclear power steam turbine control system. A pulse signal is captured based on a load adjusting instruction and locked by a trigger, after the pulse signal is locked, the program controller is input in a delayed mode, a current load effective value of the unit is latched, a target load value is calculated according to the instruction type, a load set value is switched to the target load value, and a load effective value is obtained through a load change rate generated in real time; and comparing the smoothly changed load effective value with the actual load feedback, outputting an opening degree adjusting instruction, performing multiple safety verification on the opening degree adjusting instruction, and issuing a control instruction after the verification is passed. The load of the control system of the nuclear turbine can be accurately adjusted, and the performance of the control system of the nuclear power station is remarkably improved.

A load control device is configured to generate a control signal having a desired magnitude for controlling a load regulation device adapted to control the power delivered to an electrical load. The load control device may comprise a control terminal arranged to provide the control signal to the load regulation device, a communication circuit for generating the control signal, and a control circuit configured to generate an output signal that is provided to the communication circuit. The communication circuit may be characterized by non-linear operation. The control circuit may adjust the magnitude of the output signal in response to the difference between the magnitude of the control signal and the desired magnitude to adjust the magnitude of the control signal towards the desired magnitude. The control circuit may also be configured to determine if an incompatible load regulation device is coupled to the load control device.