Helium xenon Brayton cycle power generation system coordination control method and system

Abstract

The invention discloses a helium xenon Brayton cycle power generation system coordination control method and system, and belongs to the technical field of nuclear reactor control. The method comprises the steps of obtaining a state of charge (SOC) value of an energy storage system, and controlling opening and closing of an unloading loop according to the SOC value; power deviation delta P is obtained, the power deviation delta P is the difference between load power and power supply network power, and the power of an energy conversion system and charging and discharging of an energy storage system are adjusted according to the power deviation delta P and the SOC value; the method comprises the following steps: acquiring measured values of important parameters of a system, energy change prediction information and execution mechanism constraints, and performing coordination control on the measured values, the prediction information and the constraints by utilizing model prediction control (MPC). According to the method, the system adjusting time is remarkably shortened, the parameter fluctuation is reduced, the system safety and stability are improved, the energy storage switching frequency is reduced, and the method adapts to complex load working conditions and is suitable for various scenes with high requirements for stable power supply.

Description

Technical Field

[0001] This invention belongs to the field of nuclear reactor control technology, specifically relating to a coordinated control method and system for a helium-xenon Brayton cycle power generation system. Background Technology

[0002] With socio-economic development, the demand for stable power is increasing in remote areas, islands, industrial parks, mobile equipment, and modern high-tech warfare. The Helium-Xenon Brayton cycle energy conversion system utilizes a high-temperature heat source to heat helium-xenon gas and directly drive a turbine to generate electricity efficiently. Compared to the Rankine cycle, the Helium-Xenon Brayton cycle has advantages such as system simplicity, compact structure, high average heat absorption temperature, high cycle efficiency, and small size of key equipment. Furthermore, the Helium-Xenon Brayton cycle power generation system boasts a compact structure, high power generation efficiency, and easy, safe, and reliable operation, capable of meeting the electricity needs of these regions.

[0003] To improve system efficiency, energy conversion systems generally adopt a coaxial arrangement of turbine and compressor, resulting in strong coupling between subsystems and characteristics such as time-varying parameters, nonlinearity, and large inertia. In contrast, power systems are characterized by variable load characteristics and high difficulty in load tracking, all of which bring great challenges to the operation and control of the system.

[0004] Helium-xenon Brayton cycle power generation systems have broad application prospects in remote areas, islands, and industrial parks due to their advantages of simplicity, compact structure, and high cycle efficiency. However, this system faces several control challenges: First, the coaxial arrangement of the turbine and compressor, adopted to improve system efficiency, leads to strong coupling between subsystems, where a change in one parameter can trigger a chain reaction in multiple parameters; second, the system exhibits significant time-varying and nonlinear characteristics, with dynamic characteristics varying considerably at different power levels; third, the energy conversion system suffers from significant time delays and inertia, making it difficult to quickly track load changes; furthermore, the variable characteristics of power system loads make load tracking challenging. Traditional control methods often employ single-loop control or multi-loop independent control, which struggles to effectively address the issues of strong coupling and complex dynamic characteristics, resulting in excessively long adjustment times and large parameter fluctuations under load disturbances, affecting the safe and stable operation of the system. Especially under large-scale load disturbances, existing control methods cannot coordinate the dynamic balance between the energy conversion system, energy storage system, and load, easily leading to power imbalances and equipment overloads.

[0005] To solve the above problems, a coordinated control method for helium-xenon Brayton cycle power generation systems is needed. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a coordinated control method and system for a helium-xenon Brayton cycle power generation system, which addresses the shortcomings of the prior art and significantly reduces the system's adjustment time and fluctuation, improves the system's safety and stability, and solves the technical problems of strong coupling, time-varying parameters, large inertia and variable load caused by the coaxial arrangement of turbine and compressor in helium-xenon Brayton cycle power generation systems.

[0007] The present invention adopts the following technical solution: A coordinated control method for a helium-xenon Brayton cycle power generation system includes the following steps: S1. Obtain the State of Charge (SOC) value of the energy storage system, and control the opening and closing of the unloading circuit according to the SOC value; S2, Obtain power deviation ΔP The power deviation ΔP The difference between the load power and the grid power is calculated based on the power deviation. ΔP Based on the stated state of charge (SOC) value, adjust the power of the energy conversion system and the charging and discharging of the energy storage system; S3. Obtain the measured values ​​of important system parameters, energy change prediction information, and actuator constraints, and use Model Predictive Control (MPC) to coordinate and control the measured values, prediction information, and constraints.

[0008] Preferably, in step S1, controlling the opening and closing of the unloading circuit according to the state of charge (SOC) value specifically includes: when SOC ( k When H ≥ H0, the unloading circuit is connected to unload the load. SOC ( k )for k At any given moment, the energy storage system's SOC is H0, which is the start point of unloading loop 2. when SOC ( k When H1 ≤ H2, only unloading circuit 1 is connected, and unloading circuit 2 is not connected. H2 is the opening point of unloading circuit 2. Set the closing point H1 of the unloading loop 1 below H0, H1 <H0; when SOC ( k When H1 ≤ H1, unloading circuit 1 is shut off, and the unloading system stops unloading; like SOC ( k When H2 > H2, unloading circuit 2 is connected to unload the load; when SOC ( k When H ≤ H0, unloading circuit 2 is turned off, and unloading circuit 1 remains connected; when SOC ( kWhen it is ≤ H1, the unloading circuit 1 is turned off and the unloading system stops unloading.

[0009] Preferably, the control state of the unloading system obtained in step S1 needs to ensure that the state of charge (SOC) value of the energy storage system is maintained within the interval [H1, H2], providing a stable energy storage basis for the power adjustment in step S2.

[0010] Preferably, in step S2, when ΔP > 0, increase the power of the energy conversion system, specifically including: When P n , P , k , k , k , ΔP , n , n , k , n , , SOC , SOC , P , , n ( k ) ≤ H n When, increase the power of the energy conversion system, P n ( k ) is the power of the energy conversion system at k moment, and H n is the upper limit of the power of the energy conversion system; if SOC ( k ) ≥ L0, the energy storage system discharges to the DC grid; if SOC ( k ) < L0, the energy storage system stops discharging and reduces the user load power, and L0 is the lower limit of the power of the energy storage system during discharge; When P n ( k ) > H n When, do not continue to increase the power of the energy conversion system; if SOC ( k ) ≥ L0, the energy storage system discharges to the DC grid; if SOC ( k ) < L0, the energy storage system stops discharging and reduces the user load.

[0011] Preferably, in step S2, when ΔP < 0, reduce the power of the energy conversion system, specifically including: When P n ( k ) ≥ L n When, reduce the power of the energy conversion system, and L n is the lower limit of the power of the energy conversion system; if SOC ( k ) ≤ H0, the energy storage system absorbs the excess power in the DC grid; if SOC ( k ) > H0, perform unloading; When P n ( k ) < L nAt that time, the power of the energy conversion system will not be further reduced; if SOC ( k If H ≤ H0, the energy storage system absorbs excess electricity from the DC grid; if SOC ( k )>H0, unload.

[0012] Preferably, the upper limit H of the power of the energy conversion system is... n and lower limit L n The requirements for safe operation of equipment in heat sources and energy conversion systems are set.

[0013] Preferably, in step S3, model predictive control (MPC) is used to coordinate and control the measured values, predicted information, and constraints, specifically including: A full-power-range fused state-space model of a linear variable parameter system is used as the prediction model. The system inputs the measured values ​​of important parameters, energy change prediction information, actuator constraints, and the adjusted control setpoints from step S2 into the MPC. Based on the full-power range fusion state-space model of the linear variable parameter system, the system predicts the future operating state. The system performs rolling optimization of the objective function, which aims to minimize the fluctuation of energy conversion system parameters, shorten the energy storage system adjustment time, and reduce DC grid power deviation. The optimized setpoint curve is then output.

[0014] Preferably, the measured values ​​of the important system parameters include the input current of the energy storage system, the inlet temperature of the energy conversion system, the mechanical torque, and the electromagnetic power of the generator; the constraints of the actuator include the power regulation rate constraint of the energy conversion system, the charging and discharging current constraint of the energy storage system, and the power carrying capacity constraint of the unloading circuit.

[0015] Preferably, the energy conversion system includes a helium-xenon Brayton cycle energy conversion system in which the turbine and compressor are arranged coaxially.

[0016] Secondly, embodiments of the present invention provide a coordinated control system for a helium-xenon Brayton cycle power generation system, comprising: The data module is used to acquire the state of charge (SOC) value of the energy storage system and control the opening and closing of the unloading circuit based on the SOC value. Power module, used to obtain power deviation ΔP The power deviation ΔP The difference between the load power and the grid power is calculated based on the power deviation. ΔP Based on the stated state of charge (SOC) value, adjust the power of the energy conversion system and the charging and discharging of the energy storage system; The coordination module is used to acquire the measured values ​​of important system parameters, energy change prediction information, and actuator constraints, and to use Model Predictive Control (MPC) to coordinate and control the measured values, prediction information, and constraints.

[0017] Thirdly, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the above-described coordinated control method for a helium-xenon Brayton cycle power generation system.

[0018] Fourthly, embodiments of the present invention provide a computer-readable storage medium including a computer program, which, when executed by a processor, implements the steps of the above-described coordinated control method for a helium-xenon Brayton cycle power generation system.

[0019] Fifthly, a chip includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the above-described coordinated control method for a helium-xenon Brayton cycle power generation system.

[0020] In a sixth aspect, embodiments of the present invention provide an electronic device including a computer program, which, when executed by the electronic device, implements the steps of the above-described coordinated control method for a helium-xenon Brayton cycle power generation system.

[0021] Compared with the prior art, the present invention has at least the following beneficial effects: A coordinated control method for a helium-xenon Brayton cycle power generation system is proposed, achieving coordinated system operation through a three-level control architecture. The first level controls the unloading loop based on the SOC value of the energy storage system to prevent overcharging and over-discharging of the battery. The second level adjusts the power of the energy conversion system and the charging and discharging of the energy storage system based on the deviation ΔP between the load power and the grid power, combined with the SOC state. The third level utilizes model predictive control (MPC) to coordinate the control of measured values ​​of key system parameters, predicted energy changes, and actuator constraints. A complete three-level coordinated control system is established, resolving the strong coupling problem caused by the coaxial arrangement of the turbine and compressor in the helium-xenon Brayton cycle power generation system. Through dual judgment of SOC and power deviation, the collaborative operation of the energy storage system and the energy conversion system is achieved, effectively coping with the variable load characteristics. The introduction of MPC solves the control challenges caused by the system's large inertia and nonlinearity, improving the system's dynamic response performance.

[0022] Furthermore, by precisely dividing the control range using multiple thresholds, flexible adjustment of the unloading operation is achieved. This avoids the problems of over-unloading or under-unloading caused by a single unloading loop: in the low SOC range, only a single loop is activated to reduce power loss, while in the high SOC range, dual loops work together to accelerate the unloading speed, preventing damage from overcharging of the energy storage battery while maximizing the retention of effective power. The threshold setting balances safety and economy. Through the difference design between H1 and H0, frequent switching of the unloading loop is reduced, mechanical losses and control fluctuations are decreased, and the service life of the unloading system is extended. This control logic conforms to the charging and discharging characteristics of the energy storage system and can be directly connected to subsequent power dispatching links, providing stable energy storage state support for grid power balance and improving the reliability of the overall control scheme.

[0023] Furthermore, this provides a predictable energy storage foundation for subsequent power dispatch, avoiding frequent changes in power adjustment strategies due to excessive fluctuations in the State of Charge (SOC). By strictly constraining the SOC within a safe range, it prevents permanent damage to the energy storage batteries from overcharging and over-discharging, while ensuring that the energy storage system has sufficient charge and discharge redundancy capacity to ensure timely response to grid power fluctuations. This constraint makes the effect of load shedding control quantifiable and verifiable, avoiding the blindness of load shedding operations, while reducing the frequency of switching between charge and discharge modes of the energy storage system, reducing the intensity of internal chemical reactions in the batteries, significantly extending the cycle life of the energy storage system, and indirectly reducing system operation and maintenance costs.

[0024] Furthermore, the system response requirements are precisely matched under different power conditions: when there is room for improvement in the energy conversion system, the load demand is met by increasing the system power first, while energy storage discharge is used to compensate for system delays; when the system power reaches its limit or the energy storage capacity is insufficient, the load power is adjusted in a timely manner to avoid equipment overload or excessive energy storage discharge. This strategy not only fully utilizes the power supply potential of the energy conversion system, but also quickly fills the power gap through energy storage discharge, and ensures system safety through load adjustment under extreme conditions. It achieves a multi-objective balance of maximizing power supply capacity, protecting energy storage, and ensuring system safety, effectively solving the load tracking lag problem caused by the large inertia of the helium-xenon Brayton cycle system.

[0025] Furthermore, it balances system self-sufficiency with energy storage safety: when the energy conversion system power exceeds the lower limit, the power supply to the grid is reduced by decreasing the power output, while energy storage absorbs excess electricity; when the system power approaches the lower limit, power reduction stops to maintain self-sufficiency and avoid system shutdown. Simultaneously, by comparing the SOC value with H0, energy storage absorption and unloading operations are flexibly switched, preventing both overcharging of energy storage and waste of excess electricity. This strategy adapts to the "cannot excessively reduce power" characteristic of energy conversion systems, solves the power absorption problem when supply exceeds demand, ensures stable system operation under low load conditions, and improves the continuity and economy of system operation.

[0026] Furthermore, this avoids the subjectivity of threshold setting, ensuring that power adjustments are always performed within the equipment's safety boundaries. n The design prevents overload damage to core components such as the turbine and compressor caused by excessive power in the energy conversion system. n The configuration ensures the system can maintain the self-sustaining operation of the helium-xenon Brayton cycle, preventing cycle interruption due to insufficient power. This constraint makes the power scheduling strategy more scientific and operable, providing a safety constraint basis for the control logic. It ensures that the system does not exceed the equipment's operating limits while responding to load changes, significantly improving the safety and engineering practicality of the control scheme and reducing the risk of system failure.

[0027] Furthermore, the problem of traditional control models being unable to adapt to the time-varying and nonlinear characteristics of system parameters is solved, and the full-power range model ensures prediction accuracy at different power levels. By rolling optimization of multi-objective functions (minimizing fluctuations, shortening settling time, and reducing power deviation), synergistic optimization of multiple control objectives is achieved, rather than a one-sided improvement of a single objective. At the same time, using the control setpoints of the preceding steps as input ensures the continuity of MPC optimization and the overall control flow. The output optimized setpoint curves can provide smooth and accurate adjustment targets for each subsystem, avoiding system fluctuations caused by abrupt changes in control commands, and significantly improving the dynamic stability performance of the system.

[0028] Furthermore, the feasibility of the control scheme is enhanced, avoiding difficulties in engineering implementation caused by vague descriptions of important system parameters and actuator constraints. Specific parameters (such as energy storage input current and system inlet temperature) directly reflect the system's operating status, providing accurate real-time data support for the MPC prediction model; clear constraints (such as power regulation rate and charging / discharging current limits) ensure the feasibility of optimization commands and avoid control requirements that exceed the physical limits of the equipment. This constraint makes MPC optimization both accurate and safe, ensuring both regulation effectiveness and preventing damage to actuators due to excessive movement, thus improving the engineering practicality and reliability of the control scheme and providing clear operational standards for practical applications.

[0029] Furthermore, considering the inherent characteristics of this structure—strong coupling and high inertia—the control scheme was enhanced to be more targeted. While coaxial arrangement can improve system efficiency, it leads to significant interconnectedness among components, and adjustments to a single parameter can easily trigger cascading fluctuations. The control scheme corresponding to this invention, through multi-stage coordination, is perfectly suited to the characteristics of this structure. By coordinating load unloading control, power dispatch, and MPC optimization, it offsets the coupling interference caused by the coaxial arrangement, solving the pain point of high load tracking difficulty in this type of system. At the same time, the clear structural limitations avoid overgeneralization of the control scheme, ensuring precise scope of protection for the claims, covering both the target system and power generation systems with unrelated structures, thus improving the effectiveness of patent protection.

[0030] It is understood that the beneficial effects of the second to sixth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here.

[0031] In summary, this invention solves the control challenges of strong coupling, large inertia, and variable load in helium-xenon Brayton cycle power generation systems by adopting a three-level coordinated control architecture combined with a graded unloading strategy, intelligent power dispatch, and MPC optimized control, thereby significantly improving system stability, safety, and dynamic performance.

[0032] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0033] Figure 1 The control logic diagram for the unloading system; Figure 2 Flowchart of power dispatching method for helium-xenon Brayton cycle power generation system; Figure 3 A schematic diagram of a predictive control system for a helium-xenon Brayton cycle power generation system. Figure 4 The curves show the changes in the main parameters of the system under a wide range of load disturbances. Among them, (a) is the input current of the energy storage system, (b) is the inlet temperature of the energy conversion system, (c) is the power of the energy conversion system, (d) is the mechanical torque, (e) is the electromagnetic power of the generator, and (f) is the SOC. Figure 5 A schematic diagram of a computer device provided in an embodiment of the present invention; Figure 6 This is a block diagram of a chip according to an embodiment of the present invention; Figure 7 This is a flowchart of the present invention.

[0034] Among them, 60. Computer equipment; 61. Processor; 62. Memory; 63. Computer program; 600. Electronic device; 610. Processing unit; 620. Storage unit; 6201. Random access memory unit; 6202. Cache memory unit; 6203. Read-only memory unit; 6204. Program / utility; 6205. Program module; 630. Bus; 640. Display unit; 650. Input / output interface; 660. Network adapter; 700. External device. Detailed Implementation

[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0037] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0038] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0039] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0040] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0041] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0042] This invention provides a coordinated control method for a helium-xenon Brayton cycle power generation system. Based on the energy balance relationship of the helium-xenon Brayton cycle power generation system, the invention designs the control logic for the unloading system, proposes a power dispatching method for the helium-xenon Brayton cycle power generation system, and establishes a control system based on model predictive control. This forms a coordinated control method based on energy balance and model predictive control. The designed coordinated control method can flexibly dispatch the power of the energy conversion system, the power of the energy storage system, the unloading power, and the rotational speed, thereby reducing power fluctuations in the power system, shortening the workload of the energy storage system, and extending the service life of the energy storage system.

[0043] Please see Figure 7 The present invention discloses a coordinated control method for a helium-xenon Brayton cycle power generation system, comprising the following steps: S1. An unloading system is used to ensure the safe operation of the energy storage system; Please see Figure 1 An unloading system is used to ensure the safe operation of the energy storage system, specifically: SOC ( k )for k The state of charge (SOC) of the energy storage system at any given moment. SOC ( k When )≥H0 (H0 is the opening point of unloading circuit 2), in order to prevent the energy storage battery from overcharging, the unloading circuit is connected to unload. when SOC ( k When H0 ≤ H2 (H2 is the opening point of unloading circuit 2), only unloading circuit 1 is connected, and unloading circuit 2 is not connected to reduce the power loss caused by unloading. With the connection of unloading circuit 1, excess power in the DC grid is unloaded, the energy storage battery begins to discharge to the grid, and the SOC of the energy storage system begins to decrease. To reduce the switching of the energy storage system's charging / discharging modes and extend the life of the energy storage battery, a closing point H1 for unloading circuit 1 is set below H0. SOC ( k When H1 ≤ H1, unloading circuit 1 is shut off, and the unloading system stops unloading.

[0044] If the load power and the power supplied by the grid are too low, it is difficult to unload the excess power in the DC grid only by the unloading circuit 1, resulting in the continuous increase of the SOC of the energy storage system, that is SOC ( k ) > H2, the unloading circuit 2 is connected for unloading to ensure the safe operation of the energy storage system. As the unloading circuit 2 is connected, the speed of unloading the excess power in the DC grid is accelerated, the energy storage battery starts to discharge to the grid, and the SOC of the energy storage system starts to decrease. When SOC ( k ) ≤ H0, the unloading circuit 2 is turned off, and the unloading circuit 1 remains connected. When SOC ( k ) ≤ H1, the unloading circuit 1 is turned off, and the unloading system stops unloading.

[0045] S2. Adjust the control setting values of each circuit through the power scheduling method of the helium-xenon Brayton cycle power generation system; Please refer to Figure 2 , and use the power scheduling method of the helium-xenon Brayton cycle power generation system to ensure the power balance of the grid. SOC ( k ), P n ( k ) are the SOC of the energy storage system and the power of the energy conversion system at time k respectively. The power scheduling method of the helium-xenon Brayton cycle power generation system is as follows: S201. When ΔP > 0, the power of the energy conversion system should be increased to increase the electric power transmitted by the generator to the grid, so that the power in the DC grid reaches balance again. At the same time, the energy storage system needs to output power to maintain the stable operation of the system. The specific control strategy is as follows: (1) When P n ( k ) ≤ H n (H n is the upper limit of the power of the energy conversion system), to maintain the power balance of the DC grid, the power of the energy conversion system should be increased. In this process, due to the large time delay of the energy conversion system, it is difficult to independently perform load tracking; if SOC ( k ) ≥ L0 (L0 is the lower limit of the power of the energy storage system during discharge), the energy storage system discharges to the DC grid to ensure the stable operation of the load; if SOC ( k ) < L0, to ensure the service life of the energy storage system, the energy storage system stops discharging. At this time, the user load power should be reduced to ensure the normal operation of the power system.

[0046] (2) When P n (k ) > H n When, to prevent excessive power from damaging the heat source and equipment in the energy conversion system and affecting the operation safety, the power of the energy conversion system should not be increased continuously at this time; if SOC ( k ) ≥ L0, the energy storage system discharges to the DC power grid to ensure the stable operation of the load; if SOC ( k ) < L0, to ensure the service life of the energy storage system, the energy storage system stops discharging. At this time, the user load should be reduced to ensure the normal operation of the power system.

[0047] S202. When ΔP < 0, the power of the energy conversion system should be reduced, thereby reducing the electric power transmitted by the generator to the power grid and making the power in the DC power grid reach balance again. The energy storage system needs to absorb power to maintain the stable operation of the system. The specific control strategy is as follows: (1) When P n ( k ) ≥ L n When (L n is the lower limit of the power of the energy conversion system), to maintain the power balance of the DC power grid, the power of the energy conversion system should be reduced. In this process, due to the large time delay of the energy conversion system, it is difficult to independently perform load tracking. If SOC ( k ) ≤ H0 (H0 is the upper limit of the power of the energy storage system during discharge), the energy storage system starts to absorb the excess power in the DC power grid to maintain the grid balance and ensure the stable operation of the load. If SOC ( k ) > H0, to ensure the service life of the energy storage system, by adding an additional load to the DC power grid to unload the excess power, load shedding should be performed at this time to prevent overcharging of the energy storage battery.

[0048] (2) When P n ( k ) < L n When, to prevent the power from being too low to cause the energy conversion system to be difficult to maintain the self-sustaining operation of the helium-xenon Brayton cycle and affect the operation safety, the power of the energy conversion system should not be reduced continuously at this time. If SOC ( k ) ≤ H0, the energy storage system starts to absorb the excess power in the DC power grid to maintain the grid balance and ensure the stable operation of the load. If SOC ( k ) > H0, to ensure the service life of the energy storage system, load shedding should be performed at this time, by adding an additional load to the DC power grid to unload the excess power and prevent overcharging of the energy storage battery.

[0049] S3. Utilize MPC to coordinate the dynamic balance between the energy conversion system, energy storage system, and load, ensuring the stable operation of the DC grid, solving the task of supervision, decision-making, and coordination, thereby improving the dynamic supply relationship of the grid.

[0050] The Dynamic Balancer (MPC) mechanism is used to coordinate the dynamic balance between the energy conversion system, energy storage system, and load, ensuring the stable operation of the DC grid and solving the coordination tasks of supervision, decision-making, and thus improving the dynamic supply relationship of the DC grid. Considering that load demand is variable and the dynamic characteristics of the energy conversion system change with power level factors, a full-power-range fused state-space model of a linear variable-parameter system is adopted as the prediction model to ensure the accuracy of the MPC prediction model. The objective function is continuously optimized at each step, providing optimized setpoint curves to each subsystem. Figure 3 A predictive control system for a helium-xenon Brayton cycle power generation system.

[0051] The model predictive control system for a helium-xenon Brayton cycle power generation system uses measured values ​​of key system parameters, predicted energy changes, and actuator constraints as inputs. The MPC-based coordinated control layer utilizes prior knowledge from the state-space model across the entire power range, along with measured system parameters, to provide optimized setpoint variation curves, offering adjustment targets for each control loop. Because input and output constraints are considered during the solution process, the MPC controller can adjust the controller in advance, ensuring the safe and stable operation of the system within the prediction time domain.

[0052] In another embodiment of the present invention, a coordinated control system for a helium-xenon Brayton cycle power generation system is provided. This system can be used to implement the above-mentioned coordinated control method for a helium-xenon Brayton cycle power generation system. Specifically, the coordinated control system for a helium-xenon Brayton cycle power generation system includes a data module, a power module, and a coordination module.

[0053] The data module is used to acquire the state of charge (SOC) value of the energy storage system and control the opening and closing of the unloading circuit based on the SOC value. Power module, used to obtain power deviation ΔP The power deviation ΔP The difference between the load power and the grid power is calculated based on the power deviation. ΔP Based on the stated state of charge (SOC) value, adjust the power of the energy conversion system and the charging and discharging of the energy storage system; The coordination module is used to acquire the measured values ​​of important system parameters, energy change prediction information, and actuator constraints, and to use Model Predictive Control (MPC) to coordinate and control the measured values, prediction information, and constraints.

[0054] This invention provides a terminal device comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, graphics processing units (GPUs), tensor processing units (TPUs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions to achieve a corresponding method flow or corresponding function. The processor described in this embodiment can be used for the operation of a coordinated control method for a helium-xenon Brayton cycle power generation system, including: Obtain the State of Charge (SOC) value of the energy storage system, and control the opening and closing of the unloading circuit based on the SOC value; obtain the power deviation. ΔP The power deviation ΔP The difference between the load power and the grid power is calculated based on the power deviation. ΔP Based on the State of Charge (SOC) value, adjust the power of the energy conversion system and the charging and discharging of the energy storage system; acquire measured values ​​of important system parameters, energy change prediction information, and actuator constraints, and use Model Predictive Control (MPC) to coordinate and control the measured values, prediction information, and constraints.

[0055] Please see Figure 5 The terminal device is a computer device. In this embodiment, the computer device 60 includes a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When executed by the processor 61, the computer program 63 implements the coordinated control method for the helium-xenon Brayton cycle power generation system in this embodiment. To avoid repetition, these details are not elaborated here. Alternatively, when executed by the processor 61, the computer program 63 implements the functions of each model / unit in the coordinated control system for the helium-xenon Brayton cycle power generation system in this embodiment. To avoid repetition, these details are not elaborated here.

[0056] Computer device 60 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. Computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will understand that... Figure 5 This is merely an example of computer device 60 and does not constitute a limitation on computer device 60. It may include more or fewer components than shown, or combine certain components, or different components. For example, computer device may also include input / output devices, network access devices, buses, etc.

[0057] The processor 61 may be a Central Processing Unit (CPU), or other general-purpose processors, graphics processing units (GPUs), tensor processing units (TPUs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0058] The memory 62 can be an internal storage unit of the computer device 60, such as a hard disk or RAM of the computer device 60. The memory 62 can also be an external storage device of the computer device 60, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., provided on the computer device 60.

[0059] Furthermore, the memory 62 may include both internal storage units of the computer device 60 and external storage devices. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 can also be used to temporarily store data that has been output or will be output.

[0060] Please see Figure 6 The terminal device is an electronic device 600, which is manifested in the form of a general-purpose computing device. The components of the electronic device may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including storage unit 620 and processing unit 610), a display unit 640, etc.

[0061] The storage unit stores program code, which can be executed by the processing unit 610 to perform the steps described in the method section of this specification according to various exemplary embodiments of the present invention. For example, the processing unit 610 can perform actions such as... Figure 1 The steps are shown in the figure.

[0062] Storage unit 620 may include a readable medium in the form of a volatile storage unit, such as random access memory (RAM) 6201 and / or cache memory 6202, and may further include a read-only memory (ROM) 6203.

[0063] Storage unit 620 may also include a program / utility 6204 having a set (at least one) program module 6205, such program module 6205 including but not limited to: operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0064] Bus 630 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the multiple bus structures.

[0065] Electronic device 600 can also communicate with one or more external devices 700 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with electronic device 600, and / or with any device that enables electronic device 600 to communicate with one or more other computing devices (e.g., router, modem). This communication can be performed via input / output interface 650. Furthermore, electronic device 600 can also communicate with one or more networks (e.g., local area network, wide area network, and / or public network, such as the Internet) via network adapter 660. Network adapter 660 can communicate with other modules of electronic device 600 via bus 630. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms.

[0066] Example 4 This invention also provides a storage medium, specifically a computer-readable storage medium, which is a memory device in a terminal device for storing programs and data. It is understood that the computer-readable storage medium here can include both built-in storage media in the terminal device and extended storage media supported by the terminal device; it can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor, which can be one or more computer programs (including program code). More specific examples of the computer-readable storage medium include: an electrical connection with one or more wires, a portable disk, a hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical fiber, portable compact disk read-only memory, optical storage device, magnetic storage device, or any suitable combination thereof.

[0067] Computer-readable storage media also include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable storage medium can also be any readable medium other than a readable storage medium that can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium can be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, radio frequency, etc., or any suitable combination thereof.

[0068] Program code for performing the operations of this invention can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0069] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the coordinated control method for the helium-xenon Brayton cycle power generation system in the above embodiments; one or more instructions in the computer-readable storage medium are loaded and executed by the processor in the following steps: Obtain the State of Charge (SOC) value of the energy storage system, and control the opening and closing of the unloading circuit based on the SOC value; obtain the power deviation. ΔP The power deviation ΔP The difference between the load power and the grid power is calculated based on the power deviation. ΔP Based on the State of Charge (SOC) value, adjust the power of the energy conversion system and the charging and discharging of the energy storage system; acquire measured values ​​of important system parameters, energy change prediction information, and actuator constraints, and use Model Predictive Control (MPC) to coordinate and control the measured values, prediction information, and constraints.

[0070] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0071] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0072] Please see Figure 4 At 100% FP power level, a load disturbance is introduced at 50s, and the load power decreases by 60% within 18s and reaches stability. Figure 4 The variation curves of the main system parameters are given.

[0073] After adopting the coordinated control method, the settling time of the energy storage system input current was reduced from 283s to 63s, the settling time of the energy conversion system inlet temperature was reduced from 292s to 65s, and the fluctuation was reduced from 14.01% to 1.36%. The settling time of the mechanical torque and generator electromagnetic power was also reduced from 283s to 63s, and the fluctuation was reduced from 12.61% to 2.7%. Therefore, the designed coordinated control method can significantly reduce the settling time and fluctuation of the energy conversion system and the power system, improve the system's safety and stability, and reduce the switching of the energy storage system's charging / discharging state.

[0074] In summary, the coordinated control method and system for a helium-xenon Brayton cycle power generation system of this invention demonstrates significant technical effects through simulation verification. Under a large-scale disturbance where the load power decreases by 60% within 18 seconds at 100% FP power level, the dynamic performance of the system's main parameters is significantly improved after adopting the coordinated control method. Specifically, the adjustment time of the energy storage system's input current is reduced from 283 seconds to 63 seconds, a reduction of 77.7%; the adjustment time of the energy conversion system's inlet temperature is reduced from 292 seconds to 65 seconds, a reduction of 77.7%, and the fluctuation is reduced from 14.01% to 1.36%, a reduction of 90.3%; the adjustment time of the mechanical torque and generator electromagnetic power is reduced from 283 seconds to 63 seconds, a reduction of 77.7%, and the fluctuation is reduced from 12.61% to 2.7%, a reduction of 78.6%. These results indicate that the coordinated control method designed in this invention can significantly reduce the adjustment time and fluctuation of the energy conversion system and the power system, effectively improving the safety and stability of the system. At the same time, by optimizing the working mode of the energy storage system, it reduces the number of charging / discharging state switching and extends the working life of the energy storage system.

[0075] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0076] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0077] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0078] In the embodiments provided by this invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0079] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0080] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0081] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random-access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0082] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus, and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0083] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0084] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0085] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A method of coordinated control of a helium-xenon Brayton cycle power generation system, characterized by, The method comprises the following steps: S1, obtaining a state of charge (SOC) value of the energy storage system, and controlling opening and closing of the unloading circuit according to the state of charge (SOC) value; S2, obtaining a power deviation ΔP , the power deviation ΔP is the difference between the load power and the supply grid power, according to the power deviation ΔP and the state of charge SOC value, adjusting the energy conversion system power and the energy storage system charging and discharging; S3, obtaining a measurement value of a system important parameter, energy change prediction information and an actuator constraint, and performing coordinated control on the measurement value, the prediction information and the constraint by using model predictive control (MPC).

2. The helium-xenon Brayton cycle power system coordinated control method of claim 1, wherein, In step S1, the opening and closing of the unloading circuit are controlled according to the state of charge (SOC) value, and specifically include: When SOC ( k )≥H0, the communication unloading circuit unloads, SOC ( k ) is k the energy storage system SOC at the moment, and H0 is the opening point of the unloading circuit 2. When SOC ( k )≤H2, only the unloading circuit 1 is connected, the unloading circuit 2 is not connected, and H2 is the opening point of the unloading circuit 2; A closing point H1 of the unloading circuit 1 lower than H0 is set, and H1 < H0; When SOC ( k )≤H1, the unloading circuit 1 is turned off, and the unloading system stops unloading. If SOC ( k )>H2, the communication unloading circuit 2 is unloaded; When SOC ( k )≤H0, the unloading circuit 2 is switched off and the unloading circuit 1 remains connected. When SOC ( k ) ≤ H1, the unloading circuit 1 is turned off, and the unloading system stops unloading.

3. The method of claim 2, wherein the helium-xenon Brayton cycle power generation system coordinated control method is characterized by, The control state of the unloading system obtained in step S1 needs to ensure that the state of charge (SOC) value of the energy storage system is maintained in the interval [H1, H2], thereby providing a stable energy storage basis for power adjustment in step S2.

4. The helium-xenon Brayton cycle power system coordinated control method of claim 1, wherein, In step S2, when ΔP > 0, increasing the power of the energy conversion system, specifically comprising: When P n ( k ) ≤ H n the power of the energy conversion system is increased. P n ( k ) is k the power of the energy conversion system at time, and H n is the upper limit of the power of the energy conversion system; if SOC ( k ) ≥ L0, the energy storage system discharges to the DC power grid; if SOC ( k ) < L0, the energy storage system stops discharging and reduces the power of the user load, where L0 is the lower limit of the power of the energy storage system during discharge. When P n ( k )>H n , the power of the energy conversion system is not increased; if SOC ( k )≥L0, the energy storage system discharges to the DC power grid; if SOC ( k )<L0, the energy storage system stops discharging and reduces the user load.

5. The method of claim 1, wherein the helium-xenon Brayton cycle power generation system coordinated control method is characterized by, In step S2, when ΔP <0, reducing the power of the energy conversion system, specifically comprising: When P n ( k )≥L n , the power of the energy conversion system is reduced, L n is the lower limit of the power of the energy conversion system; if SOC ( k )≤H0, the energy storage system absorbs the excess power in the direct current power grid; if SOC ( k )>H0, unloading is performed. When P n ( k )<L n the energy conversion system power is not continued to be reduced; if SOC ( k )≤H0, the energy storage system absorbs the excess power in the DC power grid; if SOC ( k )>H0, unloading is performed.

6. The helium-xenon Brayton cycle power system coordinated control method according to claim 4 or 5, characterized in that, An upper limit H of the power of the energy conversion system n and a lower limit L n Based on the safe operation requirements of the heat source and the equipment in the energy conversion system.

7. The method of claim 1, wherein the helium-xenon Brayton cycle power generation system coordinated control method further comprises: In step S3, the measurement value, the prediction information and the constraint are coordinated and controlled by using model predictive control (MPC), and specifically include: A full-power-range fusion state space model of a linear variable parameter system is used as a prediction model; The measurement value of the system important parameter, the energy change prediction information, the actuator constraint and the adjusted control set value in step S2 are input into the MPC, the future running state of the system is predicted based on the full-power-range fusion state space model of the linear variable parameter system, and a target function with the minimum energy conversion system parameter fluctuation, the shortest energy storage system adjustment time and the lowest direct-current power grid power deviation as the target is optimized to output an optimized set value curve.

8. The helium-xenon Brayton cycle power system coordinated control method of claim 7, wherein, The measurement value of the system important parameter includes an energy storage system input current, an energy conversion system inlet temperature, a mechanical torque and a generator electromagnetic power; and the actuator constraint includes an energy conversion system power adjustment rate constraint, an energy storage system charge and discharge current constraint and an unloading circuit power bearing constraint.

9. The method of claim 1, wherein the helium-xenon Brayton cycle power generation system coordinated control method is characterized by, The energy conversion system includes a helium-xen Brayton cycle energy conversion system in which a turbine and a compressor are coaxially arranged.

10. A helium-xenon Brayton cycle power generation system coordinated control system, characterized by, The method comprises: a data module configured to obtain a state of charge (SOC) value of the energy storage system, and control opening and closing of the unloading circuit according to the state of charge (SOC) value; Power module for obtaining a power deviation ΔP , said power deviation ΔP being the difference between the load power and the supply network power, adjusting the energy conversion system power and the charge and discharge of the energy storage system according to said power deviation ΔP and said state of charge SOC value a coordination module configured to obtain a measurement value of a system important parameter, energy change prediction information and an actuator constraint, and perform coordinated control on the measurement value, the prediction information and the constraint by using model predictive control (MPC).

Images