350 results about "Power coupling" patented technology

The invention discloses a power coupling-considered capacity ratio estimation method for a network-constructing / network-following multi-machine hybrid system, and the method comprises the steps: building a GFL-GFM hybrid system model, combining VSG power coupling small signal modeling and a dynamic relative gain matrix (DRGA), and quantifying the coupling strength of active / reactive power to output voltage; the frequency domain impedance characteristic of the GFM converter is simplified, and an ideal voltage source series equivalent reactance equivalent model is constructed; deriving an analytical relationship between a generalized short-circuit ratio (gSCR) and a capacity ratio based on the model, and generating a ratio formula in combination with engineering boundary sub-scenes to form a ratio range suitable for multiple scenes; for coupling time-varying characteristics, a closed-loop mechanism of'mixed mode-coupling sensing-correction calculation-execution feedback 'is constructed, and the ratio is dynamically adjusted. According to the method, coupling quantization and multi-machine coordination control are deeply fused, the problem that the external characteristic model precision and the multi-working-condition adaptability are difficult to consider under complex environment coupling is effectively solved, and the engineering applicability of the hybrid fan system is enhanced.

The invention discloses a hydrogen-lithium dual-power system structure optimization design and integrated control method applied to an unmanned aerial vehicle. The method comprises the following steps: constructing a hydrogen-lithium dual-power system of the unmanned aerial vehicle; setting an integrated control strategy according to the hydrogen-lithium dual-power system; the integrated control strategy comprises an energy management strategy and a life and safety management strategy; the energy management strategy comprises a rule-based strategy, a power following strategy and a self-adaptive optimization strategy; the service life and safety management strategy comprises a hydrogen fuel cell protection strategy, a lithium battery health management strategy, a thermal management strategy, a dual-power coupling safety management strategy and a redundancy and fault processing strategy. By optimizing the power system design and the energy management strategy, the mass of the unmanned aerial vehicle device is reduced, the cruising ability, the load capacity and the environmental adaptability of the unmanned aerial vehicle are improved, and optimization processing of the control strategy is achieved.

The invention relates to the technical field of power system automation, in particular to a climbing-frequency modulation coordinated optimization method and system considering energy storage capacity uncertainty, and the method comprises the steps: building an opportunity constraint model of an energy storage system based on the capacity uncertainty, and enabling the opportunity constraint model to be used for describing a reliable feasible region under the deviation of energy storage electric quantity; establishing an energy storage system linearization model considering a climbing-frequency modulation power unified constraint, and realizing power coupling and sharing constraint description of two types of adjustment services; aiming at the nonlinear characteristic of the gradeability of the thermal power generating unit, establishing a piecewise linearization model of the gradeability by adopting a piecewise linearization method; and establishing a thermal power-energy storage combined climbing-frequency modulation coordinated optimization model, and solving the optimization model by adopting a quadratic programming method to obtain the climbing power and frequency modulation reserve capacity of the thermal power generating unit and energy storage. According to the method, the actual available range of the energy storage system capacity can be dynamically reflected, the electric quantity out-of-limit risk caused by the uncertainty of the energy storage capacity is avoided, and the reliability of the scheduling result is improved.

The invention relates to the technical field of new energy power system control, and relates to a power decoupling method for cooperative control of voltage feed-forward compensation and adaptive virtual impedance. The method comprises the following steps: acquiring a power grid current and a power grid voltage, and calculating a reactive power measured value and an active power measured value of a power grid; virtual synchronous machine control is carried out, and a voltage feed-forward pre-compensation item is introduced into a reactive power control loop; calculating a reactive power control loop after VSG compensation, and obtaining VSG output side voltage and instantaneous angular frequency; self-adaptive virtual impedance control is adopted, a self-adaptive virtual impedance reference value is calculated, line impedance is dynamically adjusted, and a voltage loop input instruction voltage is calculated according to the line impedance; and adjusting the output performance of the inverter according to the instruction voltage. According to the invention, the problem of power fluctuation caused by VSG output voltage amplitude variation is effectively solved, and the dynamic influence of a power coupling item is weakened.

The invention discloses a wide-temperature-range sodium-lithium hybrid energy storage system and a control method thereof. According to the system, the working temperature range of the energy storage system is effectively expanded through sodium-lithium hybrid energy storage; the sodium ion battery unit bears a low-temperature working condition, and the lithium ion battery unit bears a normal-temperature basic load, so that the low-temperature and power characteristics of a sodium battery and the high-energy density advantage of a lithium battery are exerted, and complementation of energy density and temperature adaptability is realized; and the independent bidirectional DC / DC converter is adopted for power coupling, so that the problem of voltage mismatching possibly caused by direct parallel connection is effectively avoided, and the reliability and the control precision of the system are improved. The system has intelligent environment perception and adaptive control capabilities, can adaptively adjust a working mode and a power distribution strategy according to environment conditions, and is high in intelligent degree. The modular design is adopted, system expansion and maintenance are facilitated, and the operation and maintenance cost is reduced.

The invention discloses a roadbed and pavement compactness detection and regulation method for road engineering. The method comprises the following steps: deploying an intrusive sensor array to monitor an internal physical state and water-heat-force coupling phase change data; synchronously acquiring operation data of intelligent compaction equipment and scanning data of nondestructive detection equipment, and identifying a phase change critical point of the material; a disturbance propagation coefficient is calculated through a mechanical transmission chain model after data fusion, a target point is determined, and automatic micro sampling is carried out; and fusing all data to establish a macro-medium-micro three-scale fused compaction prediction model, generating a real-time regulation and control instruction to realize closed-loop control, and finally generating a three-dimensional compaction degree distribution digital twin model. According to the method, multi-source data are integrated, material phase change and mechanical transfer rules are associated, and the stability and the intelligent level of compaction quality are improved.

The invention provides a wind, light and water storage double-layer robust optimization scheduling strategy construction method and system, and relates to the technical field of energy management, and the method comprises the steps: firstly obtaining multi-source data of a wind power plant, a photovoltaic power station and a cascade hydropower station; performing feature extraction and integrated prediction based on the multi-source data to generate a wind-solar power prediction result; combining hydrodynamic coupling modeling analysis to obtain a hydropower station power generation capacity and adjustable dynamic water volume sequence; the method comprises the following steps: constructing a multi-layer energy coupling graph and performing spectral domain structure optimization to form a power coupling network representing system space-time correlation and ecological sensitivity; and finally, adopting double-layer distributed robust optimization, synchronously optimizing the economic target and the ecological risk constraint, and generating a collaborative scheduling strategy. According to the method, the time sequence matching problem between the wind and light volatility and the hydroelectric time lag is effectively solved, the renewable energy consumption capability and the water resource utilization efficiency are improved, and the ecological operation risk is reduced.

The invention discloses a data center cluster scheduling method considering shared energy storage under computing power and power coupling, and the method comprises the steps: building an upper-layer shared energy storage optimization model with the maximum benefit of a shared energy storage power station as a first target, and building a lower-layer data center cluster power utilization optimization model with the maximum typical daily benefit of a data center cluster as a second target, a master-slave game joint scheduling model is obtained; cooperatively solving the model by using a genetic algorithm and a CPLEX solver to obtain an optimal electricity selling strategy of the shared energy storage power station and an optimal electricity purchasing strategy of the data center cluster; the optimal electricity selling strategy is used for indicating the discharging electricity price and the charging and discharging power of the shared energy storage power station in each time period, and the optimal electricity purchasing strategy is used for indicating the electricity purchasing power of the data center cluster from a power grid, a renewable energy power generator and the shared energy storage power station in each time period and the power generated by a self-contained generator set. According to the invention, the electricity utilization cost of the data center cluster can be reduced while the shared energy storage income is improved.

The invention relates to the technical field of new energy grid-connected control, in particular to a fault stage transient stability analysis method and system for a following-constructed network type converter series-parallel system, and the method comprises the steps: enabling a constructed network type converter to be equivalent to a controlled voltage source series impedance, enabling a following network type converter to be equivalent to a controlled current source, and enabling the controlled current source to be equivalent to a controlled voltage source series impedance; the whole series-parallel system is equivalent to a scene in which double voltage sources and a single current source are jointly connected in parallel to a PCC point, and a series-parallel system model is constructed; according to the series-parallel system model, respectively representing an active power coupling term of the network-building type converter and a voltage coupling term of the network-following type converter under the condition of considering parallel connection of the network-following type converter and the network-building type converter; according to the coupling term, remodeling an active loop control structure of the network-constructing converter and a phase-locked loop synchronization structure of the network-following converter, and obtaining a transient analysis model of the series-parallel system considering the coupling term; the transient stability of the hybrid system in the power grid fault stage is analyzed through the transient analysis model, and the influence on the transient stability is effectively represented.

The invention discloses an automatic configuration method and system for a power supply loop, and relates to the technical field of intelligent power distribution. After a plug device is rotationally locked, an identity is read in a near field, and corresponding voltage and power templates are called; inputting the power template and bus real-time current into an edge algorithm to obtain residual capacity and generate an initial power distribution matrix; when the residual capacity is higher than a safety threshold value, a phase sequence, a breaking value and overcurrent delay are issued to the intelligent circuit breaker, and zero-voltage window spark-free closing is realized; during operation, load change is predicted, time dislocation and power coupling parameters are calculated, a peak regulation coefficient is obtained through fuzzy reasoning, and a non-critical load migration stabilizing peak value is triggered; and finally, synchronizing the identity, the power distribution matrix and peak regulation parameters to the digital twin model, and realizing self-learning, energy efficiency improvement and system stability improvement by means of a parallel simulation optimization rule and second-level multiplexing during similar access.

The invention provides a dynamic heat-water-force coupling test device and test method, and relates to the technical field of rock performance test.The device comprises a sample chamber for containing a rock sample; the heat loading assembly, the pore water pressure loading assembly and the force loading assembly are integrally arranged; the heat loading assembly comprises a heating element and a cooling element so as to simulate an environment in a wide temperature range or under a freezing and thawing cycle condition; the pore water pressure loading assembly is communicated with the rock sample to establish pore water seepage loading; an axial pressure loading element of the force loading assembly applies dynamic axial pressure to the rock sample, and a confining pressure loading element of the force loading assembly applies dynamic confining pressure to the rock sample; the sealing sleeve wraps the rock sample so as to isolate the confining pressure medium from the liquid medium. According to the device provided by the invention, three dynamic loads including the dynamic temperature, the dynamic pore water pressure and the dynamic mechanical stress can be synchronously applied and accurately controlled in a single device, so that a rock sample is subjected to a mechanical test in a vivid dynamic multi-field coupling environment.

The invention discloses a VSG grid-connected system control method based on an improved three-parameter wave trap, and belongs to the technical field of power system control, and the method comprises the steps: firstly building a single-input single-output small signal model based on a VSG grid-connected system containing power coupling, and calculating an active open-loop transfer function; an improved active damping resonance suppression method is introduced, so that the transient stability of the system is improved; the expected system stability margin under the system oscillation frequency is obtained, and the parameter design of the three-parameter wave trap is completed based on the subsynchronous frequency oscillation characteristics; the three-parameter wave trap is remodeled, and active steady-state deviation caused by the virtual damping coefficient under power grid frequency disturbance is eliminated. According to the method, the stability of the system is improved, the system is ensured to have a relatively good stability margin, and active steady-state deviation caused by power grid frequency disturbance of the grid-connected system can be completely eliminated.

The invention discloses a multi-micro-grid power distribution system two-stage robust collaborative optimization method and device, and belongs to the technical field of multi-micro-grid power distribution system optimization scheduling, and the method comprises the steps: inputting the obtained basic operation data and uncertainty characterization parameters of a multi-micro-grid power distribution system into a pre-constructed multi-micro-grid economic scheduling model, solving the model by adopting a column and constraint generation algorithm to obtain a day-ahead scheduling plan of the multi-microgrid power distribution system in the worst scene considering the space-time correlation; inputting the day-ahead scheduling plan, the obtained basic operation data of the multi-microgrid power distribution system and the tie line power coupling constraint between the power distribution network and the multiple microgrids into a pre-constructed double-layer collaborative optimization model, and solving the model in a distributed manner by adopting an alternating direction multiplier method, an intra-day optimization scheduling scheme meeting the requirement of good cooperative operation of the power distribution network and the multi-micro network friends is obtained; according to the method, the optimization result in the worst scene meets the robustness requirement, and meanwhile, the economical efficiency of the system is guaranteed.

The invention provides an alternating-current side third harmonic weakening modulation method of a railway power regulator under the condition that direct-current bus voltage contains frequency doubling ripples. The method comprises the following steps: constructing a bus voltage state space model of the railway power regulator, and designing a non-delay adaptive state observer to extract direct current component information of bus voltage; separating information of a direct current component and a double frequency ripple component of the bus voltage through a self-adaptive state observer; introducing the direct-current component information into voltage and current double-closed-loop control; designing a secondary pulse modulation ratio opposite to a ripple voltage phase through the extracted ripple pulse parameters; the third harmonic on the alternating current side of the RPC is weakened by injecting an opposite pulsation modulation ratio into a modulation coefficient; according to the method, under the condition that circuit topology and control strategy complexity are not increased, output voltage third harmonics are effectively weakened, direct current side voltage double frequency fluctuation is reduced, meanwhile, power coupling between the alternating current side and the direct current side can be compensated, the requirement for the capacitance value of a bus capacitor is reduced, the total harmonic distortion rate is reduced, and the service life of the bus is prolonged. And long-term stable operation of the system is guaranteed.

The invention provides a thermoelectric coupling-based multi-target energy-saving scheduling method for a thermal power generating unit in an alpine region. The method comprises the steps of obtaining historical unit operation data, historical heat supply network operation data and historical meteorological data; constructing a training sample based on the historical unit operation data, the historical heat supply network operation data and the historical meteorological data, and performing offline training by adopting a regression algorithm to obtain a thermoelectric coupling scheduling model; the thermoelectric coupling scheduling model is used for mapping the input feature into a target scheduling control quantity; in the operation process, unit operation data, heat supply network operation data and external weather prediction data which are collected in real time are input into the thermoelectric coupling scheduling model, and prediction scheduling control quantity is generated; and generating a scheduling execution instruction based on the predicted scheduling control quantity, and issuing the scheduling execution instruction to a unit control system for execution. According to the method, combined optimization of the power generation process and the heat supply process can be achieved, the method can well adapt to weather changes in the alpine region, energy consumption can be reduced, and the stability of unit operation can be improved.

The invention discloses a VSG control method based on frequency deviation feedforward-feedback composite control, and belongs to the technical field of power system control, after a power coupling model based on VSG control is established, reactive power feedforward control GDQ (s) based on frequency deviation is introduced, and enough transient damping support is provided for a system; meanwhile, active feedback control GDP (s) based on frequency deviation is introduced, the active steady-state deviation of the VSG system after GDP (s) active power compensation is introduced is calculated, parameter design is carried out on feedforward-feedback control based on frequency deviation, transient damping support is achieved, and meanwhile the active steady-state deviation caused by fixed virtual damping in VSG control under power grid frequency disturbance is eliminated. The control parameter design is simple, and the stability of the virtual synchronous generator grid-connected system is improved.

The invention relates to the technical field of energy coordination control, in particular to a distributed energy coordination center control system and method.The method specifically comprises the steps that original operation monitoring data of a combined cooling heating and power system is collected in real time and integrated and analyzed, and a cooling heating and power coupling feature set is obtained; evaluating a scene label and a load dominance condition according to the cooling, heating and power coupling feature set, and performing coupling calculation on an electric power increase boundary set to obtain a decoupling constraint condition; meanwhile, a multi-energy collaborative scheduling model is established to solve the multi-objective optimization model, and a multi-energy collaborative scheduling result is output; constructing a scheduling execution instruction set and executing the scheduling execution instruction set through each execution terminal to obtain an execution feedback data set; and comparing the result with the multi-energy cooperative scheduling result, and outputting a comparison result. According to the invention, the problems of large system regulation and control difficulty, low operation efficiency and insufficient stability in the distributed energy system coordination control field in the prior art are solved.

Systems and methods for autonomous extraction of volatile minerals from extraterrestrial regolith are disclosed. A rover tows a mineral-collection wagon that mechanically prepares surface regolith and positions a detachable collector shield over a target area. When lowered, the shield rim seals against the regolith to define a localized, low-leakage environment. A radiant heating element raises the regolith to vaporization temperature; released species migrate to the shield's inner surface, which is cryogenically or ambiently cooled to condense solids as a removable film. After a heating / collection cycle, the shield is decoupled for retrieval and processing while the wagon immediately accepts a replacement shield, enabling continuous, modular operation. Embodiments support guided alignment, power coupling, optional daisy-chained wagons, and reciprocating or continuous motion to increase throughput on lunar or similar vacuum surfaces.

The invention discloses a wind power and thermal power coupling hydrogen production system based on multi-source abandoned power consumption and a control method, and the system comprises a multi-source abandoned power access unit which is used for receiving and integrating the remaining electric quantity from thermal power peak regulation, the abandoned wind power and the off-peak electric quantity of a power grid; the input end of the wide-area self-adaptive electrolytic cell cluster is electrically connected with the multi-source electricity abandoning access unit, the wide-area self-adaptive electrolytic cell cluster is used for converting electric energy into hydrogen, and the wide-area self-adaptive electrolytic cell cluster comprises at least one proton exchange membrane electrolysis unit and at least one alkaline electrolysis unit; the power divider is arranged between the multi-source electricity abandoning access unit and the wide-area self-adaptive electrolytic cell cluster and is used for dynamically distributing thermal power peak regulation residual electric quantity, wind power electricity abandoning and power grid off-peak electric quantity to the proton exchange membrane electrolysis unit or the alkaline electrolysis unit according to the real-time power characteristics of each power supply; and the cooperative control platform is in communication connection with the power divider and the wide-area self-adaptive electrolytic cell cluster and is used for executing a cooperative control strategy. The invention aims to provide a hydrogen production solution which can adapt to multi-source electricity abandoning characteristics at the same time and considers wide load regulation and economical efficiency.

The invention discloses an enhanced power decoupling control method for a virtual synchronous generator, relates to the technical field of virtual synchronous generators, and solves the problems that a systematic analysis method for a resistance-inductance line power coupling mechanism is lacked and a collaborative design framework of a dynamic power decoupling condition and a steady-state power transmission requirement cannot be established in the prior art. According to the method, firstly, a dynamic coupling coefficient is accurately quantified through small signal modeling, then a voltage amplitude compensation mechanism based on virtual impedance is established, steady-state power transmission constraints are embedded into dynamic decoupling conditions, and virtual impedance parameters have the dual functions of eliminating dynamic coupling and guaranteeing steady-state tracking. The method does not depend on ideal working condition assumption, can calculate the optimal virtual resistance and virtual reactance on line according to real-time line parameters and operation working conditions, improves the adaptability of the VSG to a weak power grid resistance-inductance line, effectively inhibits dynamic cross coupling between power, and enhances the frequency support and voltage support capability of the VSG under a complex power grid condition.

The invention relates to the technical field of industrial big data, in particular to an Internet of Things sensing and data monitoring integrated system, which comprises an Internet of Things sensing module used for acquiring a sensing parameter set of a distributed simulation unit of an intelligent power plant and a historical performance evolution trend reflecting a dynamic evolution rule; the twin mapping module is used for realizing signal space-time synchronization by utilizing a time service protocol, calling a multi-physics field evolution model to calculate thermal stress offset so as to execute numerical compensation, and generating a high-fidelity physical feature vector; the collaborative decision-making module shares observation information by using a multi-agent distributed collaborative architecture, identifies an electromagnetic-dynamic coupling response mode through a joint reward function and outputs a collaborative optimization strategy; and the execution module is used for generating an evaluation result by calculating the numerical deviation between the physical feature vector and the design envelope, and adjusting the excitation control variable according to a strategy until the system converges to a target equilibrium value. According to the method, the steady state monitoring of the power system is realized through twin mapping and collaborative decision.

The invention relates to the technical field of railway locomotive driving, in particular to a railway locomotive oil-electricity hybrid driving device which comprises an engine, a motor, a power coupler, a transmission shaft and a self-adaptive power generation assembly. The two half shafts comprise a first half shaft linked with the power coupler and a second half shaft linked with wheels of the railway locomotive; the self-adaptive power generation assembly comprises a reducing elastic connector and a power generator. By arranging the self-adaptive power generation assembly, when the power of the motor and / or the engine is positively transmitted to the transmission shaft, linkage between the transmission shaft and the rotor of the generator can be automatically disconnected, and when the power of the locomotive is reversely transmitted to the transmission shaft through wheels under inertia, linkage between the transmission shaft and the rotor of the generator can be automatically achieved; therefore, the purposes of automatically switching the power distribution paths and improving the kinetic energy recovery efficiency of the locomotive are achieved without intervention of other driving devices and extra energy sources.

The invention relates to the technical field of compressed air energy storage, in particular to a thermal power coupling compressed air energy storage system robust scheduling method, device and equipment, and the method comprises the steps: constructing an operation model of each subsystem in a topological structure of the thermal power coupling compressed air energy storage system; a comprehensive operation model of the whole thermal power coupling compressed air energy storage system is established based on the operation model of each subsystem, thermal power resources can be utilized to the maximum extent, the energy storage efficiency is improved, the comprehensive model serves as a thermoelectric system hub, a power flow model on the power grid side and a heat supply network model on the heat supply network side are combined, an optimal scheduling model is established, and the energy storage efficiency is improved. A new energy output fuzzy set is obtained to cope with uncertain factors in actual operation, fuzzy set parameters are set according to actual data of a power grid in a target region, and the parameters are input into an optimal scheduling model to output an optimal scheduling strategy, so that the system operation cost is effectively reduced, and the system performance is improved. And the adaptability to new energy fluctuation and the risk management capability are enhanced.

The application relates to a key node identification method, device, equipment and medium of an electric power coupling network. A power station and a power-on relay in an electric power system are taken as an application node and a transition node of a physical layer network respectively, a logical node is constructed by the application node, a logical layer network of a structure of an undirected and weightless graph representing communication capability is built, the electric power system is modeled into a physical-logical coupling network, a logical edge centrality score in the logical layer network is calculated by using a hybrid centrality measurement, a logical edge criticality list is arranged in descending order according to the scores, a target logical edge is selected according to the sequence, corresponding transition nodes in the physical layer network are determined, a plurality of shortest paths between the two are calculated, path nodes are taken as candidate nodes to be removed, the candidate nodes and corresponding logical edges are removed, a change of a maximum connected component of the logical layer network is taken as a damage rate, and when the damage rate reaches a preset value, the removed nodes are key nodes. The method can effectively and quickly identify key nodes of an electric power network.

The present application relates to a kind of active and reactive power collaborative layered dynamic voltage support and optimization control method for load center power grid of receiving end, belong to power system and its automation technical field.The method is aimed at artificial intelligence data center internal AI workload second-level fluctuation and grid-connected converter apparent capacity constraint characteristics, constructs active and reactive power coupling dynamic support model including delay-tolerant type load response delay.By time-varying voltage sensitivity linearization, establish collaborative time-varying model predictive control (TV-MPC) model, and adopt AIDC dynamic aggregation and device layer capacity sharing distribution mechanism, reduce online optimization dimension.Control architecture is divided into coordination layer, aggregation layer and device layer: coordination layer generates active reduction and reactive reference instruction of AIDC layer;Aggregation layer is according to real-time capacity dynamic decomposition instruction;Device layer executes control and feedback state.The present application method can effectively improve the minimum value and recovery speed of key node voltage after fault, meet the real-time requirement of hundred-millisecond-level online control.

The application discloses a new energy base phase modifier synchronous instability analysis method and system, and belongs to the technical field of power system stability analysis. The method comprises the following steps: obtaining a training data set covering multi-dimensional power grid parameters and fault scenes, calculating dominant degree factors based on the coupling dynamic index of inverters, and dividing multiple dominant degree factor intervals to represent the control dominance of different types of inverters; a risk guardrail set containing a power coupling index and a damping ratio change amount is constructed, and a differentiated threshold is set for each interval; the control parameters of the inverters are extracted and a candidate boundary line set is generated, the performance of the candidate boundary line set is evaluated through transient simulation, the priority value is calculated by comprehensively considering the deployable proportion, the time benchmark ratio and the safety coefficient, and the optimal target boundary line is selected; finally, the target boundary line parameters are mapped into adaptive control gears, and the coordinated control of the phase modifier and the inverter is realized in combination with the real-time risk state, so that the synchronous instability risk is effectively inhibited.

The application discloses a coal-fired power plant water-heat-chemical value-added system for a new power system and an intelligent flexible operation method thereof. The system comprises a coal-fired generator unit, a heat-steam-power coupling subsystem, a water-hydrogen-oxygen coupling subsystem and a carbon-chemical coupling subsystem integrated with the coal-fired generator unit, and is uniformly coordinated by an intelligent collaborative control unit. Solid particle storage flue gas waste heat can be used to quickly produce steam injection into a steam turbine to improve the frequency modulation response speed of the unit. Low-valley electricity is used to electrolyze hydrogen, and by-product oxygen is recycled. Hydrogen and captured carbon dioxide are used to synthesize green methanol to realize carbon resource utilization. Methanol synthesis reaction heat and electrolysis waste heat are recovered in stages. The operation method can intelligently switch and cooperate between fast frequency modulation, hydrogen production by electrolysis and methanol synthesis according to grid instructions and real-time electricity prices, so that the flexibility of the unit, resource utilization and comprehensive benefits are systematically improved.

The invention discloses a steam inlet control system which comprises a medium-pressure cylinder, a low-pressure cylinder and a communicating pipeline connecting the medium-pressure cylinder and the low-pressure cylinder, and further comprises a steam inlet control valve arranged on the communicating pipeline, the inlet end of the steam inlet control valve is connected with the medium-pressure cylinder, and the outlet end of the steam inlet control valve is connected with the low-pressure cylinder; and the inlet end of the bypass cooling pipeline is connected to the communicating pipeline between the steam inlet control valve and the medium-pressure cylinder, and the outlet end of the bypass cooling pipeline is connected to the steam inlet of the low-pressure cylinder. According to the turbine low-pressure cylinder micro-output coupling operation system and method, the problems that blades are prone to flutter, overheating and water erosion under the low-pressure cylinder micro-output working condition are solved, and the safety and flexibility of deep peak regulation operation of a unit are remarkably improved.

The invention discloses a CHP low-carbon scheduling method and system considering carbon emission-fuel-power coupling, and belongs to the technical field of optimization control of a combined heat and power generation system. The method comprises the steps that carbon emission-fuel-power coupling is considered, and a CHP operation domain model is established; fitting a plurality of planes of the CHP operation domain by adopting an IRANSAC (Irregular Random Sample Consensus) algorithm; performing convex enveloping on the plurality of planes fitted by the IRANSAC algorithm, and then performing triangular segmentation to obtain a CHP operation domain convex reconstruction model; and building a CHP low-carbon scheduling model by considering the start-stop and climbing constraints of the CHP to perform CHP scheduling. According to the method, the real operation condition of the CHP is simulated and represented, meanwhile, an iterative RANSAC algorithm is provided, mixed integer linear form reconstruction of the carbon emission-fuel-power coupling relation is achieved in combination with the triangular segmentation theory, convex representation is conducted on the trade-off relation between low carbon and economy, and the method can be conveniently integrated into the low-carbon scheduling problem.

The application discloses a kind of mine electricity coupling multi-stage collaborative progressive scheduling method and system, constructs the process network model of ore flow and power flow coupling, abstracts "node-connector" structure and "push-pull" interactive mechanism;According to the multi-stage collaborative progressive scheduling framework of "week before-day before-intra-day", a multi-time scale optimal scheduling model is established;Prioritize the controllable load in the multi-time scale optimal scheduling model, form a multi-round hierarchical load flexible control strategy for the ore mining and dressing process;Based on the multi-time scale optimal scheduling model, generate week before plan, day before plan;Through real-time simulation system, the multi-stage collaborative progressive scheduling strategy is verified.The application establishes mine electricity collaborative progressive scheduling method, realizes the effective connection of multi-time scale and real-time closed-loop control and "mine determines electricity-mine electricity interaction-electricity adjusts production" whole-chain collaborative optimization, effectively improves the stability and economy of mine operation.