1314 results about "Frequency regulation" patented technology

Disclosed are a second-level optimal control method and apparatus for joint frequency regulation of heterogeneous load resources, and an electronic device, a storage medium, a computer program product and a computer program. The method comprises: establishing a standardized operation model for heterogeneous load resources; on the basis of parameters of the standardized operation model for the resources and historical frequency regulation signal data of a frequency regulation market, predicting frequency regulation signal distribution and price distribution over a future time period; solving an optimal operation model involving the joint participation of multiple heterogeneous resources in energy and frequency regulation markets, in order to determine a baseline energy output and a frequency regulation capacity; constructing an optimal decomposition problem of load resources and performing variable substitution, and calculating the marginal cost and adjustable range of power adjustment for each resource; and in response to receiving a frequency regulation signal sent by a power grid, starting dispatching from the resource having the lowest marginal regulation cost, and updating the power of each load-side resource until power adjustment requirements are met.

Disclosed in the present invention are a method and system for full-range participation of energy storage charging and discharging in power grid frequency regulation. The method comprises: collecting operating power and frequency data of a power grid, so as to construct a full-range droop coefficient; setting constraints for an upper limit value and a lower limit value of a frequency dead band; obtaining an actual output power instruction value by means of a constraint function constructed on the basis of a theoretical power instruction value and a charging / generated power rated value, and controlling the power grid to operate on the basis of the actual output power instruction value; setting a hysteresis range on a power instruction of an energy storage system, and when a power demand of the power grid exceeds an upper limit threshold value of the hysteresis range, switching the energy storage system from a charging mode to a discharging mode; and when the power demand of the power grid is lower than a lower limit threshold value of the hysteresis range, switching the energy storage system from the discharging mode to the charging mode. In the present invention, when the frequency of the power grid is increased, generated power is reduced until power is absorbed from the power grid, and when the frequency of the power grid is reduced, the absorption of power from the power grid is reduced until electrical power is delivered to the power grid, thus achieving full-range participation of energy storage in power grid frequency regulation control, and satisfying regulation requirements of power grids.

The invention discloses a secondary frequency modulation optimization control method under a low-load working condition, relates to the technical field of power grid resource optimization, and is used for solving the problem that a control strategy under the low-load working condition is not fully considered in the prior art. The current load interval is recognized, and control parameter correction is conducted on the unit located in the low load interval; calculating a total output power reference value; carrying out calculation by adopting a self-adaptive optimization algorithm, and carrying out power fine distribution to obtain an optimal charging and discharging instruction of each energy storage unit; and the output power is adjusted in real time through double-closed-loop control. The invention further discloses a secondary frequency modulation optimization control device under the low-load working condition, electronic equipment and a computer storage medium. By dynamically correcting the control parameters of the low-load thermal power generating unit and cooperatively distributing the hybrid energy storage power in combination with the adaptive optimization algorithm, the safety and economical efficiency of the energy storage system are guaranteed.

The invention provides an optical storage parallel network control method, which comprises the following steps: calculating the current load rate percentage of each residual unit according to the connection relation and electrical path information of the residual units after isolation; evaluating the available margin capacity and the frequency regulation bearing capacity of the remaining units, matching the available margin capacity and the frequency regulation bearing capacity with a specific power value and a frequency regulation requirement which need to be compensated, and determining a feasible unit combination scheme for fault recovery; generating a power redistribution list and a frequency adjustment responsibility distribution table according to the direct current bus connection mode of the optimal unit recombination, and obtaining an output power set value and a frequency adjustment parameter of each unit after adjustment; and extracting the continuous power supply time value of the optical storage parallel network, updating the total power supply capacity value of the optical storage parallel network, and maintaining the continuous power output and frequency stability after the fault of the optical storage parallel network.

The invention discloses an intelligent energy storage system multi-target hierarchical scheduling method and system oriented to source network load storage cooperation, and belongs to the technical field of energy storage system optimization control. The method comprises three levels of day-ahead layer multi-objective game optimization, intra-day layer rolling correction optimization and real-time layer adaptive droop control. The day-ahead layer establishes three objective functions of economy, environmental protection and smoothness, and solves and outputs a day-ahead charging and discharging power plan by using a Nash negotiation algorithm. And the intra-day layer obtains ultra-short-term prediction data of the source load, performs rolling correction on the day-ahead plan by adopting a model prediction control method, and outputs a corrected real-time power instruction. The real-time layer collects power grid frequency deviation and a battery health state value, calculates an adaptive droop coefficient according to the health state value, and superposes and outputs primary frequency modulation response power and a real-time power instruction. According to the invention, source network load storage collaborative optimization is realized through multi-time scale hierarchical scheduling, and the service life of an energy storage system is prolonged through adaptive droop control based on health state perception.

The invention discloses a grid-connected inverter control method based on second-order linear active disturbance rejection, and particularly relates to the field of grid-connected inverter control. Voltage and frequency error signals between the output side of the inverter and the power grid are obtained, a pre-synchronization control model is constructed, and voltage amplitude and frequency synchronization is achieved; a second-order linear active-disturbance-rejection controller is introduced in the frequency synchronization control process, an extended state observer is adopted to estimate the output frequency, the frequency change rate and a disturbance term, and a state error feedback control law is combined to generate a frequency regulation control quantity, so that accurate frequency control is realized; after grid connection, a dual-channel LADRC power regulation controller is constructed, and decoupling tracking control is carried out on active power and reactive power; meanwhile, on the basis of fast Fourier transform processing as a stable grid-connected state criterion, the method has the advantages of being high in control precision, high in anti-interference capability, good in current waveform quality, high in adaptability and the like, and is suitable for various grid-connected application scenes.

The invention relates to the technical field of electric power system regulation and control, and particularly discloses an electric power active balance control method for coupling multi-element energy storage of a coal power unit, which is used for solving the problem that the existing static active safety margin evaluation method cannot evaluate the safety of the coal power unit under the complex working conditions of high wind power penetration, large disturbance, system inertia decline and the like. The method solves the problems that multi-stage frequency response cannot be accurately described, online self-adaptive power distribution and continuous smooth scheduling are lacked, and consequently frequency drop is large, recovery is slow and output suddenly changes, and comprises the steps of building a collaborative characteristic model, calculating dominant characteristics on line, optimizing scheduling in a segmented mode and updating parameters in a closed loop. According to the method, by constructing a hierarchical inertia and multi-stage frequency modulation collaborative model, and adopting multi-scale online feature extraction and adaptive power distribution, segmented gradient optimization scheduling and closed-loop online parameter updating, quick response, smooth connection and accurate optimization of frequency support and economic scheduling in a wind power high-permeability scene are realized.

The invention relates to the field of power system automatic control and new energy grid-connected operation, and provides an energy storage-containing new energy field station frequency modulation optimization method based on deep reinforcement learning. The method comprises the following steps: firstly, establishing a frequency response model containing an energy storage new energy field station, constructing a frequency modulation problem into a Markov decision process, and defining a state space containing a charge state and frequency deviation, an action space taking a charge and discharge power instruction as an element, and a multi-target reward function fusing a frequency regulation effect and charge state management; and then designing an intelligent agent network based on a long short-term memory network and an improved soft actor-commentator algorithm, constructing an online training framework with priority experience playback and a sliding time window, and realizing adaptive optimization of the strategy. And finally, generating a robust frequency modulation instruction in real time based on the trained model. Simulation shows that the frequency long-term regulation and control capability and the intelligent level can be remarkably improved, and the frequency modulation performance and the frequency modulation margin are effectively coordinated.

The invention relates to the field, particularly discloses a reinforcement learning strategy for peak-valley arbitrage of an industrial and commercial energy storage power station participating in frequency modulation, relates to the field of energy storage system optimization operation, and aims to solve the problem that a charging and discharging plan favorable for realizing long-term profit is difficult to make due to the fact that multiple parameters are unknown in advance in the actual operation process of the industrial and commercial energy storage power station. The invention discloses an industrial and commercial energy storage power station peak-valley arbitrage reinforcement learning strategy considering frequency modulation. According to the strategy, an income settlement mechanism is defined, and peak-valley arbitrage charging expenditure, peak-valley arbitrage discharging income, daily demand difference expenditure, primary frequency modulation compensation and frequency modulation power purchase expenditure are quantified; constructing a scheduling optimization model which takes the optimal daily income of the peak-valley arbitrage of the energy storage power station as a target and takes power limitation, countercurrent prevention, charge state circulation and the like as constraints; designing an optimization strategy and defining a state space, an action space and a reward function; according to the user net load predicted by the long-short-term memory model, the energy storage charging and discharging power is solved by adopting a near-end strategy optimization reinforcement learning algorithm; and loading the trained model to execute the strategy. The strategy not only can broaden income sources of industrial and commercial energy storage power stations, but also can realize efficient utilization of the industrial and commercial energy storage power stations and quality and efficiency improvement of commercial income.

The invention provides a load frequency control method for a multi-region combined power system considering wind power integration, and the method comprises the following steps: building a combined state space model of the multi-region combined power system, comprising a state space sub-model of a wind power region, a state space sub-model of a thermal power region and tie line power deviation constraint relationships among the regions; a combined control topology of the multi-area combined power system is established, the combined control topology comprises a sub-control topology of a wind power area, a sub-control topology of a thermal power area and a tie line power deviation feedback topology, and the tie line power deviation feedback topology comprises feedback devices which are the total number of the wind power area and the thermal power area; and controlling equipment in the wind power area and the thermal power area to carry out power grid load frequency adjustment by using a control instruction output by the combined control topology. According to the technical scheme, dynamic response speed characteristics of wind power and thermal power and comprehensive frequency modulation requirements are considered, and optimal load frequency adjustment is carried out on the multi-region power system.

The invention relates to the technical field of power electronic driving control, in particular to a driving system and method for an ultrasonic air pump, and the system comprises a control signal generation module which is used for generating a control signal; the voltage superposition driving module is coupled to the control signal generation module and is used for superposing and lifting the driving voltage according to the control signal and executing reversing operation, and the reversing operation comprises forward driving and reverse driving; the driving frequency adjusting module is coupled to the control signal generating module and is used for adjusting the driving frequency and speed of the ultrasonic air pump based on the control signal; and the working circuit protection module is coupled to the voltage superposition driving module and is used for setting dead time between forward driving and reverse driving to prevent short circuit. According to the invention, the dependence of the ultrasonic air pump on an independent high-voltage power supply and how to realize high-voltage alternating driving through voltage superposition and avoid the risk of bridge arm direct connection and resonance mismatch under the constraint of a low-voltage power supply are effectively solved.

The invention provides a power supply control method for a prefabricated cabin type energy storage system, and the method comprises the steps: obtaining a turn-off signal trigger of a secondary output channel, and forming an initial voltage fluctuation data set; according to the initial voltage fluctuation data set, the influence degree of turn-off energy dissipation on a main output channel is analyzed, and specific parameters of a fluctuation interference source are determined; obtaining a turn-off frequency range of a secondary output channel and real-time data of response delay after turn-off, and judging an adaptive frequency adjustment interval; dynamically calibrating the voltage according to the judged frequency regulation interval to obtain a preliminarily stable voltage output curve; and through the final voltage stability regulation scheme, obtaining system response data after the secondary output channel is turned off, and determining voltage stability guarantee parameters under long-term operation.

The invention discloses a digital twinning-based power grid dynamic frequency adaptive regulation and control method, system, equipment and medium, and belongs to the technical field of power grid dynamic frequency regulation and control, and the method comprises the steps: collecting power grid operation data through a data collection device disposed at a physical power grid key node; transmitting power grid operation data to a digital twinning construction and operation platform, and synchronously updating a virtual power grid state in real time; a digital twinning construction and operation platform is used for obtaining the operation state and dynamic parameters of the power grid; predicting a frequency dynamic response track of the power grid in a disturbance or expected scene based on the power grid operation state and the dynamic parameters; adjusting control parameters of resources participating in frequency regulation and control according to the frequency dynamic response track; and issuing the control parameters to a corresponding device of the physical power grid for execution through the control instruction execution interface. The frequency dynamic quality of the power grid is remarkably improved, and the frequency stability margin and the overall operation safety are improved.

The invention discloses a compressor frequency modulation method and device, a medium and an air conditioner, and the method comprises the steps: obtaining the current and target indoor temperatures, precisely predicting the total adjustment time and the total load, obtaining the equivalent compressor frequency meeting the load demand, and providing a reference frame for frequency adjustment; constructing a target function taking a frequency sequence as a variable on the basis, calculating a target frequency sequence through iterative optimization in combination with a limiting condition set on the basis of equivalent frequency, fully considering system inertia in the process, and estimating the target frequency sequence before the temperature is close to a target value; and then fast dynamic frequency modulation is performed according to at least one compressor frequency in the target frequency sequence. Therefore, according to the scheme, through advanced planning and dynamic adjustment, the temperature deviation can be quickly responded, the initial adjustment lag is reduced, and then the temperature overshoot phenomenon is reduced.

The invention belongs to the technical field of new energy power generation and grid connection, and particularly relates to a wind power plant electric energy quality optimization method and system based on an improved particle swarm algorithm. Aiming at the problems of voltage fluctuation, frequency deviation and high harmonic content during grid connection of a wind power plant, a wind power plant simulation model is built through Matlab / Simulink, a multi-target fitness function is built according to the voltage deviation, the frequency deviation and the total harmonic distortion (THD), the self-adaptive inertia weight and learning factors of a particle swarm optimization algorithm are improved, and a wind power plant grid connection model is built. And dynamically adjusting voltage adjustment gain, reactive compensation amount and filter parameters. According to the embodiment, compared with a traditional method, the number of iterations is reduced by 40%, the voltage fluctuation suppression ratio is improved by 10%, the frequency adjusting time is shortened to be within 0.3 second, the THD is reduced to 2.1% from 5.2%, and the power grid stability and the electric energy quality are improved.

The invention relates to the technical field of wind power control, in particular to a wind power frequency modulation optimization method and system based on dynamic feedback. Comprising the following steps: constructing a three-layer optimization control model; the method comprises the following steps: optimizing frequency modulation capacity configuration of wind power and energy storage on the basis of a multi-disturbance scene in a planning layer, and outputting a capacity configuration scheme and a wind power adjustment depth constraint by taking minimization of the whole life cycle cost of a system as a target; a capacity configuration scheme and constraints of the planning layer are received at the scheduling layer, power distribution is optimized in real time based on a disturbance scene, and a power distribution instruction is output by taking minimization of frequency deviation and energy storage energy consumption as targets; optimizing a dynamic control strategy of energy storage in an execution layer to minimize the deviation between the actual output of the energy storage and a power distribution instruction, and maintaining the energy storage state in a safe interval; in the system operation process, frequency deviation and energy storage state information are collected in real time and fed back to the planning layer and the scheduling layer, and capacity configuration and power distribution decisions are dynamically corrected. The precision of wind power frequency modulation is improved.

The invention provides a transformer substation switch cabinet partial discharge detection method and system based on a sensor, and relates to the technical field of discharge detection, and the method comprises the steps: deploying an ultrasonic sensor according to a sensing collection channel, accessing a signal processing terminal, and configuring a sensor sensitivity threshold value and a signal sampling frequency; adjusting the signal gain of each monitoring node coordinate corresponding to the sensing acquisition channel, synchronously recording the monitoring time, the monitoring node coordinates and cabinet body temperature parameters, and setting a monitoring association control matrix in combination with a sensor sensitivity threshold and a signal sampling frequency; determining a partial discharge type and discharge intensity based on the signal processing terminal; and generating a discharge characteristic distribution map, and generating a partial discharge detection report in combination with the insulation performance index of the substation switch cabinet, a safe discharge threshold and a pulse frequency threshold. The technical problems that in the prior art, a transformer substation switch cabinet partial discharge detection method is poor in anti-interference capacity and low in recognition precision are solved.

The invention discloses a power system frequency modulation method and system based on flywheel energy storage auxiliary wind power, a flywheel energy storage system is equivalent to a first-order inertia link, an inertia time constant of the flywheel energy storage system is dynamically adjusted, a virtual damping coefficient is optimized in real time in combination with a fuzzy logic controller, and the stability of power grid frequency is remarkably improved. When the frequency of the power grid fluctuates, the flywheel energy storage system can respond quickly, the frequency modulation power close to the rated frequency can be output in an extremely short time, and the steady-state frequency deviation is strictly controlled in an extremely small range. Meanwhile, the fuzzy logic is used for dynamically correcting the power instruction, and the problem of frequency modulation instruction tracking errors caused by wind power output randomness is effectively solved. Besides, after frequency modulation is finished, the damping coefficient is dynamically adjusted through a fuzzy decision mechanism, the flywheel rotating speed recovery time is greatly shortened, secondary frequency disturbance caused by rotating speed lag is avoided, and the recycling efficiency of flywheel energy storage in a continuous frequency modulation scene is ensured.

The invention discloses a frequency regulation and control method and device for a water electrolysis hydrogen production system based on multi-energy cooperation, and relates to the technical field of automation of water electrolysis hydrogen production systems. The method aims to solve the problems that traditional regulation depends on a fixed threshold value or artificial experience, is difficult to adapt to multi-energy power grid frequency change, lacks system comprehensive monitoring and multi-index collaborative optimization and is difficult to regulate under renewable energy fluctuation. On the basis of multi-source data real-time monitoring and frequency characteristic analysis, the water electrolysis hydrogen production system can dynamically respond to power grid frequency fluctuation, equipment operation parameters are optimized through a self-adaptive regulation and control strategy, the influence of frequency disturbance on the hydrogen production process is effectively restrained, the cooperative compatibility of the water electrolysis hydrogen production system and a power grid is enhanced, and the hydrogen production efficiency is improved. Multi-index evaluation is carried out on the regulation and control strategy by means of a simulation model, so that efficient consumption of renewable energy sources and optimal control of energy consumption cost are realized; in combination with an edge calculation and prediction model, data acquisition frequency dynamic adjustment, abnormity early warning and strategy autonomous optimization are realized.

The invention discloses a thermal power energy storage combined frequency modulation control method and system, and belongs to the technical field of power system frequency modulation control, and the method comprises the steps: S1, carrying out the cooperative control through a DCS, an electrical RTU, and a PMU device, and collecting data in real time; s2, establishing an EMS system, performing real-time monitoring on operation parameters, and performing energy storage available capacity evaluation; s3, judging whether the unit is in an AGC automatic control mode or not, if so, calculating a power deviation value actually sent by the unit, and generating an energy storage system dynamic compensation instruction, otherwise, returning to S1; s4, executing an energy storage system dynamic compensation instruction, and implementing a cooperative control strategy by adopting a hybrid energy storage architecture formed by a super capacitor and a lithium iron phosphate battery; s5, executing the charging and discharging power instruction through the power conversion system, and configuring an electric core level over-charging and over-discharging protection mechanism; and S6, judging whether a primary frequency modulation action signal of the power grid is detected or not, if so, immediately terminating the response of the energy storage system to the power grid AGC instruction and maintaining the current power output state, and if not, returning to S3.

The invention relates to an eddy current heating device for a thermoluminescence element and a heating method. The device comprises a heating disc, a copper coil assembly, a supporting frame, a temperature measuring sensor assembly and a control circuit, the heating disc is in a disc shape, and the copper coil assembly is composed of four multi-layer closely-wound fan-shaped copper coils which are arranged in four quadrant areas of the heating disc respectively; the temperature measuring sensor assembly is provided with four temperature sensors which are embedded into the bottom of the heating disc through heat-conducting glue and connected with the control circuit. The control circuit adopts a PID (Proportion Integration Differentiation) algorithm to independently adjust the current of each sector according to feedback signals of each temperature sensor, realizes rapid temperature rise and accurate temperature control through frequency adjustment and power compensation, and has an over-temperature protection function. According to the device, the temperature of the heating disc can be raised to 300 DEG C within 3 seconds, and the temperature deviation is controlled within + / -0.5 DEG C. Compared with traditional resistance heating, the device has the advantages of being fast in temperature rise, low in energy consumption, high in temperature uniformity, convenient to maintain and the like, and meets the high-precision temperature control requirement of thermoluminescence measuring and reading equipment.

The present invention belongs to the technical field of wind farm active power control and discloses a wind farm frequency modulation power distribution method that takes into account the historical fatigue load of the unit. The method comprises the following steps: collecting the frequency data of the wind farm grid connection point; when the frequency change exceeds the frequency modulation dead zone, calculating the wind farm active power change reference value ΔP farm ; Match the station active power change reference value ΔP in the formed scenario strategy set farm The corresponding optimized active power distribution results of the units. This distribution method is compared with the traditional proportional distribution scheme. While meeting the system frequency response requirements, the present invention improves the problems of sudden increase in fatigue load in wind farms and large differences in fatigue accumulation between units, and verifies the effectiveness of the proposed method.

The invention discloses a humanoid robot walking and running unified control method and system based on a biological rhythm, and belongs to the technical field of humanoid robots. Capturing human walking and running action data, and extracting rhythm features from frequency and phase time domains; constructing a rhythm generator based on the rhythm features extracted in the step 1; according to a strategy gradient method based on a constraint reinforcement learning algorithm, a walking and running unified control strategy is constructed, rhythm information generated based on a rhythm generator is adopted in the walking and running unified control strategy, then action-critic is used for training, a bionic motion control system Walk2Run under speed driving is jointly constructed, natural gait transition and frequency adjustment are achieved, and the walking and running unified control strategy is obtained. And meanwhile, the physical capacity limitation of the robot is met, and motion fluency and energy efficiency are improved. The problems that an existing humanoid robot does not achieve energy optimization of human walking during walking, and mobility of an existing data set has high requirements for the motion ability of the robot and is poor in generalization ability are solved.

Disclosed in the present invention are a data-driven linear MPC-based assessment method and apparatus for a frequency regulation capability of a wind farm, and a control method and apparatus. The assessment method comprises the steps of: offline acquiring historical operation data sets of wind turbines, and training a linear predictive control model, wherein the linear predictive control model is obtained by applying a dimensionality-increasing transformation process to a wind farm frequency modulation dynamic nonlinear model on the basis of a Koopman operator theory; acquiring real-time operation data of the wind turbines, and using the acquired real-time operation data to solve for a linear MPC optimization model, to obtain droop coefficients of the wind farm, wherein the linear MPC optimization model is constructed on the basis of the trained linear predictive control model and by taking the maximum droop coefficient of the wind farm as an objective and setting a safety rotational speed constraint condition; and assessing a frequency regulation capability of the wind farm on the basis of the obtained droop coefficients of all the wind turbines in the wind farm. The present invention has the advantages of ease of implementation, high assessment efficiency and accuracy, and strong scalability, and the like.

The invention relates to the technical field of electric power control, in particular to a fire storage cross-regional collaborative frequency modulation control method and system, and the method comprises the steps: generating a cross-regional power distribution instruction of a thermal power generating unit and battery energy storage through an upper-layer optimization model, and carrying out the multi-regional power instruction tracking through a lower-layer distributed control model; selecting a current frequency modulation strategy from a local frequency modulation mode and a cross-regional support mode based on the charge state of the battery energy storage in the disturbance region; in the power distribution instruction generation process, dynamic nonlinear correction is carried out on the energy storage output weight according to the charge state; and calculating local fire storage output by each region based on the current frequency modulation strategy and the power distribution instruction, generating a frequency modulation control instruction meeting the frequency safety constraint and the tie line transmission constraint, and completing cross-region collaborative frequency modulation. According to the invention, the problems of insufficient frequency modulation economy caused by lack of centralized and distributed coordination and rigid responsibility distribution caused by energy storage life static management are effectively solved, and economy-life balanced regulation and control are realized.

The invention discloses a new energy power grid hybrid energy storage system multi-dimensional regulation and control capability quantitative evaluation method and system, and mainly relates to the technical field of new energy power grid hybrid energy storage system regulation and control. Comprising the following steps: respectively constructing layered evaluation index systems of the hybrid energy storage unit in frequency modulation and peak regulation based on short, medium and long time scales; determining the weight of each level index in the index system; based on the hierarchical evaluation index system and the weight of each hierarchical index, performing comprehensive potential evaluation on the hybrid energy storage unit; and according to an evaluation result, the regulation and control capability of the hybrid energy storage system under different time scales is comprehensively evaluated, and an optimization and scheduling strategy of the energy storage unit is formulated according to the evaluation result. The method has the beneficial effects that the frequency modulation, voltage regulation and peak regulation potentials of the hybrid energy storage system can be quantified under different time scales, and the optimal energy storage configuration and operation strategy can be formulated according to the frequency modulation, voltage regulation and peak regulation potentials.

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 power dispatching, in particular to an energy storage combined frequency modulation control method and system in a source-network-load-storage integrated regional power grid, and the method comprises the steps: dynamically calculating the adjustable capacity of each resource, dynamically aggregating the total adjustable capacity of the system, sensing the multi-dimensional frequency situation and calculating the adjusting power, and selecting a frequency modulation mode and generating a power distribution strategy. And generating a splitting and isolated network frequency modulation stability control strategy and performing system grid-connected resynchronous operation. The method is suitable for guiding power supply, energy storage and load all-resource collaborative frequency modulation strategy generation in a regional power grid. For consistency of frequency deviation, frequency change rate and active power flow direction, multi-dimensional frequency situation awareness is constructed, power distribution strategies in different modes are generated based on a total adjustable capacity interval of a system, and a frequency stability control and grid-connected resynchronization strategy after splitting is given when the frequency and the adjustable interval exceed limits. Accurate matching of all-resource collaborative frequency modulation and strategies in a regional power grid is realized, and the frequency modulation response speed of the system is improved.

The invention relates to the technical field of power system frequency modulation control, in particular to a thermal power generating unit collaborative frequency modulation method and system based on block chain federated learning. According to the method, a decentralized P2P network is constructed through a block chain technology, and model parameters are initialized based on a secret sharing mechanism; carrying out local training by adopting an adaptive federal near-end optimization algorithm, measuring data isomerism through KL divergence and dynamically adjusting a regular coefficient; carrying out noise addition on a sample by adopting differential privacy, and carrying out homomorphic encryption to realize parameter encrypted transmission; selecting representative nodes based on a block chain consensus mechanism to execute parameter aggregation in the encryption domain; and multi-unit collaborative frequency modulation is realized through model prediction control. According to the method, the problems of data privacy protection, heterogeneous data adaptation and decentralized cooperative training are solved, and the stability of power grid frequency regulation and control is improved.

The invention discloses a performance detection device for a network construction type converter suitable for new energy and energy storage, and relates to the field of power conversion equipment testing. The automatic test unit comprises a frequency adjustment test module, a phase jump test module, a short circuit ratio adjustment test module, a broadband harmonic injection test module, an island simulation test module, a source load switching test module and a damping test module. Compared with an existing test platform, the precision in the aspects of frequency, phase, short-circuit ratio adjustment and the like is improved, and the precision of a test result is ensured; testing of various complex working conditions such as isolated island operation, source load switching and broadband harmonic injection is supported, and all key working conditions possibly encountered by the power conversion system in practical application can be simulated; the system has an automatic testing function, various tests are automatically carried out through preset working conditions, a detailed analysis report is generated, and manual intervention is reduced.