8154 results about "Power unit" patented technology

The invention provides a heterogeneous acceleration pooling server system, a pooling resource allocation method and a medium, and relates to the technical field of computers, the heterogeneous acceleration pooling server system comprises a general computing resource pool, an internal bus switching module, an Ethernet switching module and a plurality of heterogeneous computing acceleration resource pools; the internal bus exchange module comprises a plurality of mutually connected high-speed data interconnection modules, each module is provided with a plurality of IO devices, the IO devices of the plurality of high-speed data interconnection modules overall allocate global unique codes, the general computing resource pool configures the required IO devices according to resource requirements after obtaining the resource requirements, and the required IO devices are distributed to the general computing resource pool according to the resource requirements. And establishing a heterogeneous computing resource allocation path to enable the general computing resource pool to be matched with one or more heterogeneous computing acceleration resource pools corresponding to the resource requirements, so that each general computing power unit can access any heterogeneous acceleration device, the system expansion capability is improved, and the resource utilization rate is improved when large-scale and diversified applications are dealt with. And the operation efficiency of the heterogeneous acceleration server is improved.

The invention provides a data management method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining key value cache data generated by a first type of computing power unit in a pre-filling stage, transmitting the key value cache data to a memory pool, and caching the key value cache data in the memory pool; and in response to a data acquisition demand of the second type of computing power unit in a decoding stage, transmitting the specified key value cache data cached in the memory pool to the second type of computing power unit according to the data acquisition demand. According to the technical scheme of the invention, the memory pool is arranged and the aggregated transmission channel is utilized, so that the transmission efficiency of the key value cache data between the computing power devices is effectively improved, the data transmission delay is reduced, and the network transmission protocol overhead is reduced, thereby improving the data interaction efficiency of the computing power devices in a pre-filling stage and a decoding stage, and improving the user experience. The utilization of computing power resources is optimized, and the throughput and performance of large model reasoning are improved.

The invention discloses a thermal power generating unit deep peak regulation control system, and relates to the technical field of thermal power generating unit deep peak regulation, the thermal power generating unit deep peak regulation control system comprises a deep peak regulation control center, and the deep peak regulation control center is in communication connection with a data acquisition module, a load prediction module, a working condition monitoring module, a distributed control module and a safety monitoring early warning module. By introducing a distributed control architecture and bat algorithm optimization, each subsystem of the thermal power generating unit is divided into a plurality of local control units, independent and cooperative control is realized, the flexibility and the response speed of the thermal power generating unit in the deep peak regulation process are remarkably improved, and the reliability of the thermal power generating unit is improved. Distributed control ensures that each subsystem can quickly adjust operation parameters according to actual load requirements, and the global optimization capability of the bat algorithm further improves the self-adaptability and decision-making efficiency of the system in a complex working condition, so that the problem of response lag in a traditional centralized control mode is effectively solved.

A mooring system for a floating offshore wind power platform, a monitoring system, and a monitoring method. The mooring system comprises a static mooring system and a dynamic mooring system. The static mooring system comprises three mooring cable bundles. Upright columns (1) are consistent with the centers of the mooring cable bundles. The dynamic mooring system comprises a power unit, propeller units (4), and a control unit. A group of propeller units (4) is installed below each upright column (1) of the platform, and each group of propeller units (4) comprises one to four propeller units (4). The monitoring system monitors the platform in real time, obtains the real-time motion level and mooring tension of the platform, and on the basis of offset and inclination requirements and mooring tension requirements of the platform in a real-time motion state, calculates the power required by the propeller units (4) for execution. A conventional mooring method is combined with a power positioning system to reduce the load on the mooring cables and reduce the maximum offset and the inclination angle of the platform foundation, benefiting both the efficiency and service life of dynamic cables and wind turbines.

The invention discloses a hierarchical optimization scheduling method for deep peak regulation of thermal power generating units, and the method comprises the following steps: system layering: dividing a power system into a plurality of subsystems, each subsystem comprising a thermal power generating unit cluster and differentiated load demands; subsystem-level prediction: generating a basic scheduling plan; dynamic preference-driven multi-target collaborative optimization: receiving multi-target data from each subsystem, carrying out multi-target collaborative optimization, modeling three targets of a power grid company, an environmental protection department and a terminal user as game participants, quantifying the priority of each party by adopting a fuzzy membership function, generating a dynamic game solution through a Nash equilibrium solver, and carrying out multi-target collaborative optimization; screening out a Pareto optimal solution giving consideration to interests of multiple parties; performing online verification on the dynamic security domain; virtual synchronous machine cooperative support: simulating operation characteristics of a synchronous generator; and global coordination and iterative optimization: uploading the optimal scheduling scheme of each subsystem to a scheduling center through a message queue telemetry transmission protocol, and performing global constraint verification.

The invention relates to the technical field of resource allocation, in particular to a unified resource pooling management method for multiple computing power sources of an unmanned aerial vehicle platform, which comprises the following steps of: analyzing an unmanned aerial vehicle service flow to obtain subtask nodes and dependency relationship edges, and measuring and calculating the execution time of each subtask on different heterogeneous computing power units. According to the method, subtask nodes and dependency edges are obtained by analyzing the unmanned aerial vehicle service flow, the refined execution time of each subtask on a heterogeneous computing power unit is measured and calculated on the basis of task execution priority ranking, the actual consumed time of data transmission between tasks is clearly calculated, a complete heterogeneous computing power pool scheduling basic view is formed, and the scheduling efficiency of the heterogeneous computing power pool is improved. Therefore, the task execution efficiency and the resource scheduling accuracy are improved; meanwhile, in the resource allocation process, the real-time operation temperature and the calculation error rate of each computing power unit are continuously monitored, the dynamic health state is intelligently analyzed and calculated, the potential fault risk is recognized in time, and a pre-degradation control signal is actively triggered.

The invention discloses a collaborative optimization scheduling method and system considering energy storage frequency modulation reserve. The method comprises the following steps: acquiring basic data of a power system; based on the basic data, a collaborative optimization scheduling model considering energy storage frequency modulation reserve is established, and the collaborative optimization scheduling model takes the minimum sum of the coal consumption cost, the unit start-stop cost and the wind curtailment cost of the thermal power generating unit as a scheduling target under multiple constraint conditions; the multiple constraint conditions comprise a lithium battery power constraint, a charging and discharging state constraint, an SOC constraint, a frequency modulation response constraint, a frequency safety constraint, a frequency modulation standby constraint, a flywheel energy recovery constraint, a thermal power generating unit operation constraint and a power balance constraint; solving the collaborative optimization scheduling model to obtain an optimal scheduling scheme of the power system; by comprehensively utilizing the advantages of a traditional unit, flywheel energy storage and lithium battery energy storage, the safety and operation economy of the system during frequency disturbance are improved.

A thermal management system for an electric forklift. The system includes a battery cooling circulation loop, a battery heating circulation loop, a cab cooling circulation loop, a cab heating circulation loop, a turn-on control unit, and a thermal management control module. The battery cooling circulation loop includes a battery cooling sub-loop and a refrigerant sub-loop. The battery cooling circulation loop and the refrigerant sub-loop are connected in parallel, and share an electric compressor and a condenser. The cab heating circulation loop and the battery heating circulation loop are connected in parallel, and share a heater and a second power unit. The turn-on control unit separately controls turn-on and turn-off of the loops. The thermal management control module controls the operation of the turn-on control unit and the loops according to battery temperature data in the electric forklift and / or a thermal management request inputted from the outside.

The invention provides a thermoelectric unit intelligent early warning method and system based on an artificial intelligence model. The method comprises the steps that firstly, multi-source operation monitoring information of different operation dimensions of core components such as a turbine, a boiler and a generator of a thermoelectric unit is obtained; performing time sequence correlation analysis on each modal monitoring data, constructing a dynamic correlation matrix, generating a modal conflict correction coefficient, and obtaining a time sequence dependence feature set; inputting the model into a hierarchical evolutionary early warning model, and obtaining an evolutionary fusion early warning feature vector through modal conflict correction and dynamic feature evolution modeling; generating a working condition self-adaptive dynamic early warning threshold value based on the current operation working condition; through comparison and abnormal traceability of the traceability verification module, an abnormal root component and a propagation path are determined, and a targeted traceability early warning instruction is output, so that the early warning accuracy and adaptability of the thermoelectric unit are improved, and safe and stable operation of the unit is guaranteed.

The invention discloses a thermal power generating unit coal conveying belt intelligent inspection system and method based on artificial intelligence, and relates to the field of artificial intelligence and machine learning, and the method comprises the steps: collecting multi-source data, dividing a coal conveying belt into a grid coordinate system, distributing an initial risk score for each grid through an artificial intelligence model, and obtaining a preliminary inspection path; analyzing the time change trend of the coal flow speed through an artificial intelligence attention mechanism, processing the preliminary inspection path, marking a high-risk area, generating an optimized inspection path, and fusing multi-source data to obtain a comprehensive feature set; according to the method, the time change trend of the coal flow speed is analyzed through the attention mechanism, the routing inspection path is optimized according to the real-time coal flow trend and space correlation, blindness of artificial experience and hysteresis of static design are avoided, and efficient distribution of routing inspection resources is ensured.

The invention relates to the technical field of underwater vehicle drainage, and discloses an air and carbon dioxide linkage drainage device and an underwater vehicle, the air and carbon dioxide linkage drainage device comprises a power unit, an air unit, a pressure reduction unit and a flow guide assembly, and the power unit is provided with a first storage cavity; the first storage chamber is used for storing liquid carbon dioxide, the air unit is provided with a second storage chamber, the second storage chamber is used for storing high-pressure air, the pressure reduction unit is provided with a pressure reduction chamber, the first air inlet is communicated with the pressure reduction chamber, the first air outlet is communicated with the water ballast space, and a first heating source is arranged in the second storage chamber; the heating source is suitable for generating heat after receiving the signal so as to heat the air stored in the second storage chamber. The technical problems that in the air release process and when the air is in contact with water, the temperature is reduced, so that the volume of the air is reduced, and the drainage capacity of the air and carbon dioxide linkage drainage device is reduced are solved.

The invention discloses a hydraulic loading system for a semi-physical simulation platform of an excavator. The hydraulic loading system comprises a loading pump set, a confluence switching valve set, a movable arm linkage loading valve set, a bucket rod linkage loading valve set, a bucket linkage loading valve set, a rotation linkage loading valve set, a flow detection assembly, a pressure detection assembly, a multi-way valve and an excavator power unit. Oil inlet ports of all the multi-way valves provide oil inlet through an excavator power unit, flow of oil return ports of a movable arm link, a bucket rod link and a bucket link provides an oil source through a loading pump set, loading valve sets simulate loading load pressure, and the oil return amount and the oil return back pressure are controlled through speed regulating valves of all the loading valve sets. And the rotary unit controls the oil return quantity and simulates the rotary load through a rotary loading valve group. Multi-pump-set loading is adopted, the loading flow range is large, universality is high, an execution oil cylinder and an execution motor do not need to be installed and replaced, and operability is high; the oil inlet and return flow and pressure of the movable arm unit, the bucket rod unit and the bucket unit are independently loaded and are not limited by the area ratio of two cavities of an oil cylinder.

The invention relates to the technical field of power system frequency, and discloses a thermal power generating unit-energy storage coupling frequency modulation system for improving power grid frequency stability, which comprises a thermal power generating unit module, an energy storage system module, an energy management and distribution control module and a communication and monitoring module. The thermal power generating unit provides a frequency stabilization basis through inertia response and power regulation, and the energy storage system compensates frequency deviation in a quick response mode. And the energy management module dynamically adjusts the power distribution proportion between the thermal power generating unit and the energy storage system based on the optimized objective function to realize efficient collaborative frequency modulation. The output power and the state of charge of the energy storage system are controlled by constraint conditions. The communication and monitoring module collects power grid frequency, load fluctuation and energy storage state data in real time, generates frequency modulation control signals and issues the frequency modulation control signals to each module. By combining the stability of the thermal power generating unit and the quick response characteristic of the energy storage system, the response speed and the adjustment precision of power grid frequency adjustment are remarkably improved, and meanwhile the frequency adjustment cost is reduced.

The invention relates to the technical field of aircrafts, in particular to a built-in compressed air and carbon dioxide linkage drainage system and an aircraft. The drainage system comprises a drainage device, a water ballast tank, a first connecting pipeline and a control unit, a first storage cavity for storing liquid carbon dioxide is formed in the first power unit, a second storage cavity for storing high-pressure air is formed in the second power unit, and a pressure reduction cavity is formed in the pressure reduction unit; the first storage chamber and the second storage chamber are both selectively communicated with the pressure reduction chamber; the water ballast tank is provided with a third storage chamber selectively communicated with the pressure reduction chamber; the first connecting pipeline is connected with the second power unit and the pressure reduction unit, and a first on-off valve is arranged on the first connecting pipeline; the first power unit is suitable for converting liquid carbon dioxide into high-pressure supercritical carbon dioxide under the control of the control unit, and the high-pressure supercritical carbon dioxide enters the third storage chamber after being decompressed by the decompression chamber, so that the first connecting pipeline selectively communicates with the second storage chamber and the decompression chamber.

The invention provides a thermal power generating unit intelligent start-stop process multi-level linkage cooperative control optimization method, which relates to the field of thermal power generating unit control, and comprises the steps of collecting equipment group operation parameters, establishing a multi-level dynamic control reference, constructing a cascade response mechanism to determine a target operation interval, subintervals are divided according to the parameter coupling degree, compensation adjustment coefficients are set for hierarchical adjustment, and a linkage control link is constructed to coordinate the adjustment process of each level of equipment group. According to the method, accurate cooperation among equipment in the starting and stopping process of the thermal power generating unit is achieved, the safety and efficiency of the starting and stopping process are improved, and energy consumption is reduced.

The invention discloses a simulation method and device for a high-voltage direct-hanging energy storage system based on an FPGA. A power unit of the high-voltage direct-hanging energy storage system is divided into an H bridge and an energy storage unit part, the H bridge and a network side topology are placed in the FPGA for simulation, an energy storage battery branch part is placed in a CPU for simulation, and submodule voltage and current information interaction is conducted between the FPGA and the CPU through a PCIE bus. The FPGA establishes a Thevenin model of a single high-voltage direct-hanging energy storage system sub-module, algebraic superposition is carried out by using the series relation of the sub-modules, and the capacitor voltage, the terminal voltage and the bridge arm voltage of the sub-modules are calculated; the equivalent model and the network side topology run in an FPGA (Field Programmable Gate Array) of a simulator at a simulation step length of 1 us; the energy storage battery branch runs in a CPU of the simulator, and the CPU supports a user-defined energy storage battery model; and the advantages of the real-time multi-core processor and the FPGA are fully combined, so that accurate real-time simulation on the high-voltage direct-hanging energy storage system of any series with the simulation step length of 1 us is realized on the FPGA.

The invention discloses a multi-energy-storage thermal power generating unit optimal scheduling method, which belongs to the technical field of power system scheduling, and specifically comprises the following steps: acquiring operation data and power grid load data of a multi-energy-storage thermal power generating unit; constructing a load prediction model based on the collected data to obtain a load prediction result; taking the minimum comprehensive cost as a target, and combining a thermal power generating unit output constraint, an energy storage equipment charging and discharging constraint and a power grid security constraint to construct an optimal scheduling model; solving the optimal scheduling model by adopting an improved intelligent optimization algorithm to obtain an optimal scheduling scheme; performing real-time scheduling on the multi-energy-storage thermal power generating unit according to the optimal scheduling scheme; the method can improve the scheduling flexibility of the multi-energy-storage thermal power generating unit, effectively deals with the load fluctuation of the power grid, and is suitable for the optimal scheduling task of the multi-energy-storage thermal power generating unit in a complex power grid environment.

The invention discloses a fuel cell ship distributed dynamic power distribution method based on autonomous frequency division. The method comprises the following steps: establishing a fuel cell ship multi-electric hybrid power system model taking a fuel cell, a lithium battery, a super capacitor, a DC / DC converter and a ship as loads; based on a fuel cell ship multi-electric hybrid power system model, distribution of dynamic ship load power in different power supply units of a fuel cell, a lithium battery and a super capacitor is realized by adopting a hybrid droop control method of virtual impedance, and charge state equalization of a parallel lithium battery pack is realized based on a charge state equalization method of adaptive droop control; according to the invention, ship dynamic load power can be autonomously distributed according to power units with different characteristics, balance of the charge state of the parallel lithium battery pack and stable control of the direct current bus voltage are realized, and meanwhile, distributed control is adopted, so that the communication pressure among the units is reduced.

The rotary cross-flow ceramic membrane filtering device comprises a shell, a main shaft unit arranged in the shell and a power unit for driving the main shaft unit to rotate, the power unit provides rotating power for the main shaft unit and drives the filtering disc to rotate, the main shaft unit is installed in the shell and executes a specific filtering task, and the shell provides necessary support and protection for the main shaft unit and the power unit and controls inflow and outflow of materials. According to the rotary cross-flow ceramic membrane filtering device provided by the invention, the ceramic membrane filtering disc is arranged, so that the filtering efficiency and the system stability are improved, the operation cost is reduced, and the rotary cross-flow ceramic membrane filtering device is suitable for being widely applied to various industrial fields needing efficient filtering solutions.

The invention relates to the technical field of underwater vehicles, in particular to a modular supercritical carbon dioxide phase change drainage device and an underwater vehicle. The modular supercritical carbon dioxide phase change drainage device comprises a plurality of power unit sets, a plurality of pressure reduction units and a flow guide assembly, each power unit set comprises a plurality of power units, each power unit is provided with a first storage cavity, and the first storage cavity is used for storing liquid carbon dioxide; the plurality of pressure reduction units are in one-to-one correspondence with the plurality of power unit groups, each pressure reduction unit is provided with a pressure reduction chamber, the pressure reduction chambers selectively communicate with the corresponding first storage chambers, and the pressure reduction chambers of the plurality of pressure reduction units communicate with one another; the flow guide assembly is provided with a first air inlet and a first air outlet, the first air inlet communicates with at least one of the multiple pressure reduction cavities, and the first air outlet communicates with the water ballast space. The modular supercritical carbon dioxide phase change drainage device is small in occupied space, safe, efficient and high in drainage capacity.

An aircraft conditioning system including: a fuel inlet (2) to a fuel conduit (3), an engine (4), a first heat exchanger (6) connected to a power unit outlet (5) of the engine, a first portion (3.1) of the fuel conduit (3) connecting the fuel inlet (2) to a fuel inlet (6.3) of the first heat exchanger (6) and a second portion (3.2) connecting a fuel outlet (6.4) of the first heat exchanger (6) to an inlet (4.1) of the engine (4), a heater (7) converting liquid fuel in the fuel conduit (3) to a low temperature gas form, a bypass conduit (8) connecting the first and second portions (3.1, 3.2) wherein the first heat exchanger (6) transfers heat from exhaust gases of the power unit outlet (5) to fuel of the fuel conduit (3).

The electrified vehicle includes a vehicle body, a plurality of wheels configured to support the vehicle body, a power unit attached to the vehicle body and configured to drive at least one of the plurality of wheels, and a high-voltage cable arranged in a vertical direction behind the power unit. The vehicle body is configured to support a lower portion of the power unit, and the upper portion of the power unit is configured to be connected to or engaged with the vehicle body via a bracket at least in a vehicle front-rear direction.

The invention discloses a control system and method for a thermal power generating unit and flywheel energy storage to cooperatively participate in power grid frequency modulation and a power grid frequency modulation method. According to the method, a low-pass filtering algorithm is abandoned, a tracking differentiator is used for decomposing a primary frequency modulation instruction of the thermal power generating unit, and decomposed low-frequency power components are distributed to the thermal power generating unit; high-frequency power components are distributed to the flywheel for energy storage, action times and output abrasion of the thermal power generating unit are reduced, and the service life of the unit is prolonged. A gain coefficient which adaptively changes along with the state of charge (SOC) and frequency deviation is introduced into the decomposed high-frequency power component, so that accurate matching requirements are facilitated, the energy utilization efficiency is improved, the frequency fluctuation of a power grid is better stabilized, and the quality of the power grid is improved; and meanwhile, a Logistic function for preventing the flywheel from being overcharged and overdischarged is introduced to restrain the theoretical response power of flywheel energy storage, deep charging and discharging of the flywheel are avoided, and therefore the loss of the flywheel is reduced.

The invention discloses a system climbing demand evaluation and calling method for high-proportion new energy consumption. The method comprises the following steps: step 1, determining a thermal power generating unit start-stop model based on a fan, photovoltaic and load prediction curve of a time period scale; 2, evaluating the output condition of the fire motor start-stop model in the sub-period based on the short-time scale prediction fan and photovoltaic data; 3, evaluating the climbing power vacancy of the system by calculating the climbing capacity and the climbing capacity based on the output data of the thermal power generating unit; 4, constructing an energy storage sequential constraint model based on the system climbing power vacancy; and step 5, evaluating the system power supply shortage, the wind and light discarding result and the calling cost based on the system climbing power vacancy. The multi-source cooperative climbing capacity evaluation model including thermal power, hydroelectric power and energy storage is constructed, and the deep peak regulation capability of the thermal power generating unit and the cooperative optimization mechanism of the energy storage rapid response characteristic are combined; and the extreme climbing event coping capability is obviously improved.

A pneumatic conveying system and a control method therefor. The system comprises a power unit (1), a fan unit (2), a valve unit (3), a sensor unit (4), a pneumatic conveying unit (5), a pipeline arrangement net (6) and a control system (7), wherein the he fan unit (2), the valve unit (3), the sensor unit (4) and the pneumatic conveying unit (5) are connected together in an ordered manner by means of the pipeline arrangement net (6) to form a whole.

The invention relates to the technical field of power supply, and particularly discloses a peak and frequency regulation heat supply method for a multi-element energy storage coupling coal power unit, which is used for solving the problems that only active frequency is optimized, electric heating coordination and charge state constraint are lacked and time delay compensation is insufficient in the prior art. The method provided by the invention comprises the steps of system modeling, controller design, coupling constraint, adaptive parameter adjustment, delay compensation and distributed consensus. According to the method, a dual-domain electric power-thermal interconnection model is constructed, a cooperative controller based on delay compensation distributed model prediction control is designed, electric-thermal cooperative penalty and charge state constraint are introduced into a target function, a prediction window and weight parameters are adaptively adjusted, and network delay is identified and compensated online. And a consensus algorithm is adopted to realize multi-region power-heat collaborative optimization.

The invention discloses an intelligent thermal power plant hierarchical optimization control method based on multiple agents, and the method comprises the steps: obtaining the observation data of each thermal power generating unit agent, each wind and light storage agent and each deduction agent through an upper-layer plant-level scheduling decision agent, and calling a preset multi-agent reinforcement learning module, modeling the electric heating load optimal distribution problem of the thermal power plant, and solving to obtain an optimal load distribution result of each thermal power generating unit intelligent body and each wind and light storage intelligent body; the lower-layer equipment level control agent defines a steam turbine, a boiler body, boiler auxiliary equipment and a heat supply steam extraction device in each thermal power generating unit as corresponding equipment agents according to the optimal load distribution result of each thermal power generating unit agent, and integrates interaction information, equipment operation data and equipment parameter control mechanisms among the equipment agents; and carrying out equipment-level multi-agent optimization control modeling by taking a load distribution result and the minimum operation cost as targets, and solving to obtain an optimal control instruction of each equipment agent.

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.

A vehicle body front structure includes a cradle, a front side frames in a pair, a radiator support, a control plate, and a beam member. The cradle is disposed below a power unit room disposed in a front portion of a vehicle body. The front side frames extend on a side portion of the power unit room. The radiator support is provided in front of the power unit room and joins a front end of each front side frame to a radiator side frame. The control plate is joined to an outer surface of the front end of each front side frame and the radiator side frame. The beam member is disposed in a vehicle body front space and includes an arc portion having a center portion, and a winding portion joined to the control plate and provided at each of both ends of the arc portion.

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.