Cross-scale energy management method for energy storage emergency system of nuclear power plant

Abstract

The invention belongs to the field of energy management, and discloses a cross-scale energy management method for an energy storage emergency system of a nuclear power plant, and the method comprises the steps: collecting the multi-scale energy data of the energy storage emergency system of the nuclear power plant through a sensor network; constructing an energy management model based on the multi-scale energy data and a multi-target constraint condition, wherein the energy management model is used for predicting load demands under different working conditions; based on the load demand under the current working condition predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, respectively formulating hierarchical regulation and control strategies on different time scales and different space scales, and performing energy management through the hierarchical regulation and control strategies; and each hierarchical regulation and control strategy can meet the load requirement under the current working condition. According to the invention, energy management is carried out through the hierarchical regulation and control strategy, so that the corresponding regulation and control strategy can be accurately formulated in the face of complex working conditions, energy management refinement is further realized, and the load requirement of the nuclear power plant is met.

Description

Technical Field

[0001] The present invention belongs to the field of emergency power supply dynamic planning and rapid response energy optimization scheduling, coordinated control and comprehensive energy management technology combined with intelligent algorithms, and in particular relates to a cross-scale energy management method for nuclear power plant energy storage emergency systems. Background Art

[0002] An emergency energy storage system is an energy storage device that provides backup power in emergency situations. It is primarily used to ensure the normal operation of critical infrastructure in the event of grid failures or natural disasters. Typically consisting of batteries, inverters, charge controllers, and energy management systems, these systems can quickly activate and provide a reliable power supply in the event of a power outage.

[0003] Energy storage emergency systems are crucial in the nuclear power sector. However, traditional energy storage emergency systems suffer from a lack of response strategies and extensive energy management when faced with complex operating conditions. This results in low energy management efficiency and reliability. Therefore, there is an urgent need for an efficient and reliable energy management method for nuclear power plant energy storage emergency systems. Summary of the Invention

[0004] The purpose of the present invention is to perform energy management through a hierarchical control strategy, so as to accurately formulate corresponding control strategies when facing complex working conditions, thereby realizing refined energy management and meeting the load requirements of the nuclear power plant under any working conditions.

[0005] In a first aspect, an embodiment of the present invention provides a cross-scale energy management method for a nuclear power energy storage emergency system, the method comprising:

[0006] Using sensor networks to collect multi-scale energy data from nuclear power energy storage emergency systems;

[0007] An energy management model is constructed based on the multi-scale energy data and multi-objective constraints, wherein the energy management model is used to predict load demand under different working conditions; the multi-objective constraints are used to constrain the emergency maximum demand capacity, the grid dispatch demand capacity, and the energy storage battery system capacity to meet preset conditions;

[0008] Based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, hierarchical control strategies are formulated at different time scales and different spatial scales, and energy management is performed using the hierarchical control strategies; each hierarchical control strategy can meet the load demand under the current operating conditions;

[0009] The time scale includes second scale, minute scale, hour scale, short-term capacity withdrawal and long-term capacity attenuation; the spatial scale includes unit layer and power station overall layer; different time scales correspond to different control strategies, different spatial scales correspond to different control strategies, and the control strategies corresponding to time scales and spatial scales are also different.

[0010] Optionally, if the time scale is in seconds, a hierarchical control strategy is formulated on the time scale and spatial scale respectively based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including:

[0011] receiving an emergency response demand signal; the emergency response demand signal is used to indicate a sudden power failure in a nuclear power plant and a need for emergency power supply;

[0012] The nuclear power energy storage emergency system is controlled to actively provide voltage and energy support to the nuclear power plant, and switch the power plant line to the emergency bus.

[0013] Optionally, if the time scale is minute and hour, a hierarchical control strategy is formulated on the time scale and spatial scale respectively based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including:

[0014] Upon receiving a nuclear power failure prediction signal or an advance emergency preparedness signal, obtaining a nuclear power failure prediction probability;

[0015] comparing the predicted probability of nuclear power failure with a first preset probability, and if the predicted probability of nuclear power failure is less than the first preset probability, controlling the nuclear power energy storage emergency system to operate normally;

[0016] If the predicted probability of nuclear power failure is greater than the first preset probability and less than a second preset probability, comparing the current remaining capacity of the nuclear power energy storage emergency system with a remaining capacity threshold, wherein the remaining capacity threshold is modified based on the battery health status of the nuclear power energy storage emergency system;

[0017] If the current remaining capacity of the nuclear power energy storage emergency system is greater than the remaining capacity threshold, control the nuclear power energy storage emergency system to operate normally; if the current remaining capacity of the nuclear power energy storage emergency system is less than the remaining capacity threshold, control the nuclear power energy storage emergency system to charge at rated power;

[0018] If the predicted probability of nuclear power failure is greater than the second preset probability and less than the third preset probability, controlling the nuclear power energy storage emergency system to charge at rated power;

[0019] If the predicted probability of nuclear power failure is greater than the third preset probability, the nuclear power energy storage emergency system is controlled to charge at maximum power.

[0020] Optionally, if the time scale is minute-level or hour-level, a hierarchical control strategy is formulated on the time scale and spatial scale respectively based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including:

[0021] Calculating the remaining duration of the nuclear power energy storage emergency system based on the current available capacity of the nuclear power energy storage emergency system and the load power under the current operating conditions;

[0022] If the remaining duration is less than the preset time, trigger the pre-start process of other emergency power supplies; and monitor the load power in real time. If the load power is greater than the maximum power that the nuclear power energy storage emergency system can output, start the other emergency power supplies;

[0023] The current available capacity of the nuclear power energy storage emergency system is monitored in real time, and when the current available capacity is less than a preset minimum capacity, the system is switched to other emergency power supply main power supply modes.

[0024] Optionally, if the time scale is short-term capacity withdrawal, a hierarchical control strategy is formulated on a time scale and a spatial scale based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including:

[0025] Obtaining the capacity of the energy storage unit that is faulty or under maintenance, and calculating the current available capacity of the nuclear power energy storage emergency system based on the battery capacity monitored in real time by the battery management system;

[0026] Collect load power under current working conditions in real time, predict power demand for a period of time in the future based on historical data or dispatch instructions, and determine the availability of other emergency power sources;

[0027] Formulate a control strategy based on the calculated current available capacity and the predicted power demand;

[0028] Among them, if the current available capacity can meet the power demand, the nuclear power energy storage emergency system is controlled to operate normally; if the current available capacity cannot meet the power demand, the nuclear power energy storage emergency system is controlled to charge or start other emergency power supplies.

[0029] Optionally, if the time scale is long-term capacity decay, a hierarchical control strategy is formulated on a time scale and a spatial scale based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including:

[0030] Dynamically adjust the charge and discharge power change rate of each battery in the nuclear power energy storage emergency system according to the battery health status of the battery;

[0031] Based on the dynamically adjusted charge and discharge power change rate, a power stratification strategy is implemented for batteries that are severely degraded but have not yet reached replacement conditions. The power stratification strategy includes: classifying batteries into high-power batteries and low-power batteries according to the charge and discharge power change rate;

[0032] If the load power change rate under the current working condition is greater than the preset change rate, the load power demand is met by the high-power battery. If the load power change rate under the current working condition is less than the preset change rate, the load power demand is met by the low-power battery.

[0033] Optionally, if the spatial scale is a unit layer, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, hierarchical control strategies are formulated at the time scale and spatial scale respectively, including:

[0034] Convert all energy storage units of the nuclear power energy storage emergency system into a three-dimensional mathematical model to reconstruct a virtual topology; each energy storage unit is a battery cabinet, and the horizontal axis of the three-dimensional mathematical model represents the coordinates of the battery cabinet, the vertical axis represents the coordinates of different clusters in the battery cabinet, and the vertical axis is used to represent the coordinates of different battery system packs in each cluster;

[0035] The battery management unit and battery cluster management unit collect pack data and cluster-level data of different packs, and based on the pack data and cluster-level data collected by the battery cluster management unit, obtain the battery available capacity and battery health status of different packs;

[0036] Based on the available capacity and battery health status of different packs, a target pack is determined whose consistency difference with other packs in the same energy storage unit is greater than a preset difference. The replacement cost of the target pack is compared with the profit loss caused by the target pack. If the replacement cost is less than the profit loss, the target pack is replaced.

[0037] If it is determined that some packs need to be removed based on the available battery capacity and battery health status of different packs, the current charge and discharge power of the energy storage unit where the removed pack is located is dynamically updated based on the power loss after the pack is removed. If the updated charge and discharge power is less than the power threshold, the energy storage unit where the removed pack is located is controlled to only meet the load demand with power less than the power threshold.

[0038] Optionally, the method further includes:

[0039] Determine the battery health status of each energy storage unit based on the available battery capacity and battery health status of different packs;

[0040] If the battery health state of an energy storage unit is greater than a first preset battery health state, controlling the energy storage unit to operate normally;

[0041] If the battery health state of an energy storage unit is less than a first preset battery health state and greater than a second preset battery health state, the operating range of the battery capacity and the power mobilization change range of the energy storage unit are limited, the energy storage unit is controlled to perform a pre-decommissioning plan, and the entire station capacity of the nuclear power energy storage emergency system is updated;

[0042] If the battery health state of an energy storage unit is less than the second preset battery health state, the energy storage unit is controlled to completely exit the operation sequence.

[0043] Optionally, if the spatial scale is the power plant as a whole, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, hierarchical control strategies are formulated at the time scale and spatial scale respectively, including:

[0044] Different energy storage units are modularized and reorganized according to the different medium-voltage access methods and interfaces of the emergency busbar to obtain multiple emergency modules;

[0045] When the battery capacity and battery health status of different energy storage units in the same emergency module are inconsistent, the emergency module is controlled to dynamically reconstruct the logical topology through power output curve optimization based on the battery capacity, battery health status and real-time load demand of the different energy storage units to obtain a reconstructed emergency module;

[0046] If abnormal data of the energy storage unit triggers emergency module-level diagnosis, the emergency module-level failure triggers the energy storage unit to perform risk assessment, and the power station-level control strategy of the nuclear power energy storage emergency system is adjusted based on the risk assessment result.

[0047] In a second aspect, an embodiment of the present invention provides a cross-scale energy management device for a nuclear power energy storage emergency system, the device comprising:

[0048] A data acquisition module is used to collect multi-scale energy data of the nuclear power energy storage emergency system using a sensor network;

[0049] An energy management model construction model is used to construct an energy management model based on the multi-scale energy data and multi-objective constraints, wherein the energy management model is used to predict load demand under different working conditions; the multi-objective constraints are used to constrain the emergency maximum demand capacity, the grid dispatch demand capacity, and the energy storage battery system capacity to meet preset conditions;

[0050] a hierarchical control strategy formulation module for formulating hierarchical control strategies at different time scales and different spatial scales based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, and performing energy management through the hierarchical control strategies; each hierarchical control strategy can meet the load demand under the current operating conditions;

[0051] The time scale includes second scale, minute scale, hour scale, short-term capacity withdrawal and long-term capacity attenuation; the spatial scale includes unit layer and power station overall layer; different time scales correspond to different control strategies, different spatial scales correspond to different control strategies, and the control strategies corresponding to time scales and spatial scales are also different.

[0052] In a third aspect, an embodiment of the present invention provides an electronic device, including:

[0053] at least one processor;

[0054] a memory for storing the at least one processor-executable instruction;

[0055] The at least one processor is configured to execute the instructions to implement the method described in the first aspect.

[0056] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to execute the method described in the first aspect.

[0057] In a fifth aspect, an embodiment of the present invention provides a computer program product, including a computer program, which implements the method described in the first aspect when executed by a processor.

[0058] The technical solution provided by an embodiment of the present invention utilizes a sensor network to collect multi-scale energy data of a nuclear power energy storage emergency system; constructs an energy management model based on the multi-scale energy data and multi-objective constraints, and the energy management model can be used to predict load demands under different operating conditions; and based on the load demands under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, formulates hierarchical control strategies at different time scales and different spatial scales, and performs energy management through the hierarchical control strategies. Because the hierarchical control strategies formulated at different time scales and different spatial scales can all meet the load demands under the current operating conditions, energy management through the hierarchical control strategies can achieve the precise formulation of corresponding control strategies when facing complex operating conditions, thereby achieving refined energy management and meeting the load demands of the nuclear power plant under any operating conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A flow chart of a cross-scale energy management method for a nuclear power energy storage emergency system provided by an embodiment of the present invention;

[0060] Figure 2 A schematic diagram of converting all energy storage units of a nuclear power energy storage emergency system into a three-dimensional mathematical model and reconstructing a virtual topology, provided by an embodiment of the present invention;

[0061] Figure 3 A schematic diagram of a cross-scale energy management device for a nuclear power energy storage emergency system provided by an embodiment of the present invention;

[0062] Figure 4 A schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0063] The present invention will be described in detail below through examples.

[0064] An emergency energy storage system is an energy storage device that provides backup power in emergency situations. It is primarily used to ensure the normal operation of critical infrastructure in the event of grid failures or natural disasters. Typically consisting of batteries, inverters, charge controllers, and energy management systems, these systems can quickly activate and provide a reliable power supply in the event of a power outage.

[0065] In the field of nuclear power, energy storage emergency systems are of vital importance. However, the energy management system of traditional energy storage emergency systems has problems such as lack of response strategies and extensive energy management when facing complex working conditions, resulting in low energy management efficiency and low reliability of the energy storage emergency system. Therefore, as an emergency power supply, higher requirements are placed on the efficiency and reliability of nuclear power energy storage emergency systems. Existing technologies are difficult to meet the energy management needs of nuclear power energy storage emergency systems at different time scales (such as fast response in seconds, continuous power supply in hours, short-term capacity withdrawal and long-term capacity attenuation) and different spatial scales (such as unit layer and overall power station layer). To this end, an embodiment of the present invention provides a cross-scale energy management method for a nuclear power energy storage emergency system.

[0066] like Figure 1 As shown, an embodiment of the present invention provides a cross-scale energy management method for a nuclear power energy storage emergency system, which may include the following steps:

[0067] S110, using a sensor network to collect multi-scale energy data of the nuclear power energy storage emergency system.

[0068] Specifically, to build a cross-scale detection system, a sensor network is used to collect energy-related data from the unit layer of the nuclear energy storage emergency system and the real-time load information of the nuclear power plant. The sensor network can collect energy-related data in real time or at preset intervals, which is feasible. Unit-level energy-related data can include battery cell voltage and temperature, as well as energy storage module charge and discharge power. Real-time load information for the nuclear power plant can include the total load on the emergency bus.

[0069] S120, constructing an energy management model based on multi-scale energy data and multi-objective constraints.

[0070] Among them, the energy management model is used to predict the load demand under different working conditions, and the multi-objective constraints are used to constrain the emergency maximum demand capacity, the grid dispatching demand capacity and the energy storage battery system capacity to meet the preset conditions.

[0071] Specifically, we use multi-objective constraints and combine the collected multi-scale energy data to establish an energy management model. The energy management model can be used to predict load demands such as energy demand under different working conditions and energy storage status change trends. The multi-objective constraint conditions can be expressed as:

[0072]

[0073] In the above formula, C emg_max is the emergency maximum demand capacity, f load (t) is the emergency demand function, η1 is the emergency medium voltage bus efficiency; C dis is the grid dispatching demand capacity, f dis (t) is the planned scheduling power function ( i∈[0,t]. i is the processing plan for the i-th minute, is the function of the planned output for the next day versus time, its abscissa is time, and its ordinate is the planned output of the unit. A day (24h) is divided into n periods on average, each period is t minutes, and η2 is the output efficiency of the energy storage power station; C total is the capacity of the energy storage battery system, C rate is the rated capacity of the energy storage battery system, λ is the attenuation coefficient, and η3 is the output efficiency of the energy storage battery system.

[0074] S130: Based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, hierarchical control strategies are formulated at different time scales and different spatial scales, and energy management is performed using the hierarchical control strategies. Each hierarchical control strategy can meet the load demand under the current operating conditions.

[0075] Time scales include seconds, minutes, and hours, as well as short-term capacity withdrawals and long-term capacity decay. Spatial scales include the unit level and the overall power plant level. Different time scales correspond to different control strategies, as do different spatial scales. Furthermore, different control strategies apply to both time and spatial scales.

[0076] Specifically, based on the model prediction results and the current available capacity of the nuclear power energy storage emergency system, hierarchical control strategies are formulated at different time scales and different spatial scales, and the hierarchical control strategies formulated at different time scales and different spatial scales can meet the load requirements under the current operating conditions. In this way, energy management through hierarchical control strategies can achieve accurate formulation of corresponding control strategies when facing complex operating conditions, thereby realizing refined energy management and meeting the load requirements of nuclear power plants under any operating conditions.

[0077] In order to describe the solution clearly, the specific implementation methods of formulating different hierarchical control strategies at different time scales and different spatial scales will be described in detail in the following embodiments.

[0078] The technical solution provided by an embodiment of the present invention utilizes a sensor network to collect multi-scale energy data of a nuclear power energy storage emergency system; constructs an energy management model based on the multi-scale energy data and multi-objective constraints, and the energy management model can be used to predict load demands under different operating conditions; and based on the load demands under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, formulates hierarchical control strategies at different time scales and different spatial scales, and performs energy management through the hierarchical control strategies. Because the hierarchical control strategies formulated at different time scales and different spatial scales can all meet the load demands under the current operating conditions, energy management through the hierarchical control strategies can achieve the precise formulation of corresponding control strategies when facing complex operating conditions, thereby achieving refined energy management and meeting the load demands of the nuclear power plant under any operating conditions.

[0079] The specific implementation methods for formulating different hierarchical control strategies at different time scales and different spatial scales are described in detail in the following embodiments.

[0080] As an implementation of an embodiment of the present invention, if the time scale is in seconds, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, a hierarchical control strategy is formulated at the time scale and the spatial scale respectively. The strategy may include the following two steps, namely step a1 and step a2:

[0081] Step a1: Receive an emergency response request signal.

[0082] Among them, the emergency response demand signal is used to represent the sudden power failure of the nuclear power plant and the need for emergency power supply.

[0083] Step a2: Control the nuclear power energy storage emergency system to actively provide voltage and energy support for the nuclear power plant, and switch the power plant line to the emergency bus.

[0084] On a second-by-second basis, high-response energy storage modules are prioritized for rapid energy replenishment in response to sudden emergency needs. Specifically, upon receiving an emergency response demand signal, the entire station adjusts its control strategy to provide voltage and energy support, while simultaneously switching the power station lines to the emergency busbar.

[0085] As another implementation of the embodiment of the present invention, if the time scale is minute and hour, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, a hierarchical control strategy is formulated at the time scale and spatial scale respectively, which may include the following steps, namely steps b1 to b6:

[0086] Step b1: upon receiving a nuclear power failure prediction signal or an advance emergency preparation signal, obtaining a nuclear power failure prediction probability.

[0087] Step b2: comparing the predicted probability of nuclear power failure with a first preset probability; if the predicted probability of nuclear power failure is less than the first preset probability, controlling the nuclear power energy storage emergency system to operate normally.

[0088] Step b3: If the predicted probability of nuclear power failure is greater than the first preset probability and less than the second preset probability, the current remaining capacity of the nuclear power energy storage emergency system is compared with the remaining capacity threshold.

[0089] Among them, the remaining capacity threshold will be corrected based on the battery health status of the nuclear power energy storage emergency system.

[0090] Step b4: If the current remaining capacity of the nuclear energy storage emergency system is greater than the remaining capacity threshold, the nuclear energy storage emergency system is controlled to operate normally. If the current remaining capacity of the nuclear energy storage emergency system is less than the remaining capacity threshold, the nuclear energy storage emergency system is controlled to charge at rated power.

[0091] Step b5: If the predicted probability of nuclear power failure is greater than the second preset probability and less than the third preset probability, control the nuclear power energy storage emergency system to charge at rated power.

[0092] Step b6: If the predicted probability of nuclear power failure is greater than the third preset probability, control the nuclear power energy storage emergency system to charge at maximum power.

[0093] Specifically, when a fault prediction signal or an advance emergency preparation signal is received, the original charge-discharge strategy is switched to charging. At the same time, the power allocation strategy and the start-stop timing of the diesel generator are determined based on the status of the diesel generator set. The hierarchical response strategy is as follows:

[0094]

[0095] P out is the power station output power, where positive indicates discharge and negative indicates charge; p is the predicted failure rate of nuclear power failure, p LL , p L and p H They are the probability values ​​of different stages, which are the first preset probability, the second preset probability and the third preset probability. Among them, the first preset probability, the second preset probability and the third preset probability can be determined according to actual conditions, and their sizes are not limited here. The first preset probability is the smallest, the second preset probability is in the middle, and the third preset probability is the largest. dis (t) represents normal charging and discharging, that is, normal response to the grid dispatch. rate Indicates charging at rated power, -P max Indicates charging at maximum power. SOC is the current remaining capacity of the nuclear power energy storage emergency system. thd The remaining capacity threshold is preset and can be set according to the actual situation. In addition, in actual applications, as the battery life increases, the SOC thd Compensation is performed and the updated value can be SOC thd +λ SOH ,λ SOH is the compensation coefficient, for example, when SOH < 0.8, SOC thd It will automatically increase by 5%.

[0096] If the predicted probability of nuclear power failure is less than the first preset probability, it means that the probability of failure of the nuclear power plant is very small. At this time, the nuclear power energy storage emergency system is controlled to operate normally, that is, the nuclear power energy storage emergency system is controlled to act as a power source normally and respond normally to the dispatch of the power grid.

[0097] If the predicted probability of a nuclear power plant failure is greater than the first preset probability but less than the second preset probability, it indicates that the probability of a nuclear power plant failure has increased somewhat. At this point, the current remaining capacity of the nuclear power energy storage emergency system can be compared with the remaining capacity threshold. If the current remaining capacity of the nuclear power energy storage emergency system is greater than the remaining capacity threshold, it indicates that the nuclear power energy storage emergency system has sufficient capacity to handle an emergency. At this point, the nuclear power energy storage emergency system is controlled to operate normally, that is, the nuclear power energy storage emergency system is controlled to function normally and respond normally to grid dispatch. If the current remaining capacity of the nuclear power energy storage emergency system is greater than the remaining capacity threshold, it indicates that the nuclear power energy storage emergency system has insufficient capacity to handle an emergency. At this point, in order to increase the remaining capacity of the nuclear power energy storage emergency system, the nuclear power energy storage emergency system is controlled to charge at rated power so that the nuclear power energy storage emergency system has sufficient energy to handle an emergency when a nuclear power plant failure occurs.

[0098] If the predicted probability of nuclear power failure is greater than the second preset probability and less than the third preset probability, it means that the probability of failure of the nuclear power plant is high. At this time, the nuclear power energy storage emergency system is directly controlled to charge at the rated power so that when a failure occurs in the nuclear power plant, the nuclear power energy storage emergency system can have sufficient energy to respond to the emergency.

[0099] If the predicted probability of nuclear power failure is greater than the third preset probability, it means that the probability of failure of the nuclear power plant is very high. At this time, the nuclear power energy storage emergency system is controlled to charge at maximum power. In this way, the remaining capacity of the nuclear power energy storage emergency system can be increased at the fastest speed, so that when a failure occurs in the nuclear power plant, the nuclear power energy storage emergency system can have sufficient energy to respond to the emergency.

[0100] As another implementation of the embodiment of the present invention, if the time scale is minute-level and hour-level, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, a hierarchical control strategy is formulated at the time scale and spatial scale respectively, which may include the following steps, namely steps c1 to c3:

[0101] Step c1, calculating the remaining sustainable duration of the nuclear power energy storage emergency system based on the current available capacity of the nuclear power energy storage emergency system and the load power under the current operating conditions.

[0102] In step c2, if the remaining duration is less than the preset time, the pre-start process of other emergency power supplies is triggered. The load power is monitored in real time. If the load power is greater than the maximum output power of the nuclear power energy storage emergency system, other emergency power supplies are started.

[0103] Step c3: monitor the current available capacity of the nuclear power energy storage emergency system in real time, and switch to other emergency power supply main power supply modes when the current available capacity is less than the preset minimum capacity.

[0104] Specifically, the available capacity of the nuclear power energy storage emergency system and the changes in the load power demand of the nuclear power plant are combined to optimize the decision logic for the timing of diesel generator intervention. The duration can be calculated based on the current available capacity and load power. The calculation formula is as follows:

[0105]

[0106] T resid is the remaining duration of the nuclear power energy storage emergency system, C available is the current available capacity of the nuclear power energy storage emergency system, η is the discharge efficiency, f load (t) is the load power. If T resid <T limit , T limit The pre-start process of diesel generators and other emergency power sources is triggered at a preset time. At the same time, it is predicted that the future load of the nuclear power plant will exceed the remaining capacity support capacity, and the diesel generators are activated in advance. There are three specific situations:

[0107] In the first case, assuming T limit 30min, T resid ≤30min, start the diesel generator.

[0108] In the second case, P load >P BESS_max , P load is the load power, P BESS_max The maximum power that the nuclear power energy storage emergency system can output is used to start the diesel generator and share the base load;

[0109] The third case, SOC≤SOC low , SOC is the current available capacity, SOC low To preset the minimum capacity, switch to other emergency power supply main power supply mode.

[0110] As another implementation of the embodiment of the present invention, if the time scale is short-term capacity withdrawal, the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system are used to formulate a hierarchical control strategy on the time scale and the spatial scale respectively, which may include the following steps, namely steps d1 to d3:

[0111] Step d1, obtaining the capacity of the energy storage unit that is faulty or under maintenance, and calculating the current available capacity of the nuclear power energy storage emergency system based on the battery capacity monitored in real time by the battery management system.

[0112] Step d2: collect the load power under the current working conditions in real time, and predict the power demand in the future based on historical data or scheduling instructions, and determine the availability of other emergency power sources.

[0113] Step d3: formulating a control strategy based on the calculated current available capacity and the predicted power demand.

[0114] If the current available capacity can meet the power demand, the nuclear power energy storage emergency system is controlled to operate normally. If the current available capacity cannot meet the power demand, the nuclear power energy storage emergency system is controlled to charge or other emergency power sources are activated.

[0115] Specifically, when a short-term capacity withdrawal occurs at an energy storage power station due to maintenance or failure, real-time load power data is collected and power demand for a period of time is predicted based on historical data or dispatch instructions. The availability of diesel generators is also confirmed. The battery management system (BMS) monitors the SOC in real time and calculates the total available capacity of the current system based on the capacity of the energy storage unit that is faulty or under maintenance. The available capacity is dynamically calculated according to the following formula:

[0116]

[0117] Among them, C available is the total capacity, Design capacity for the i-th energy storage unit, is the capacity withdrawal ratio of the i-th energy storage unit, is the discharged capacity ratio of the i-th energy storage unit, is the SOH correction coefficient of the i-th energy storage unit. SOH (State of Health) is an important parameter in the battery management system (BMS) and is used to evaluate the health status of the battery.

[0118] If the calculated current available capacity can meet the power demand, the nuclear energy storage emergency system is controlled to operate normally, effectively responding to grid dispatch. If the current available capacity cannot meet the power demand, the nuclear energy storage emergency system is controlled to charge or other emergency power sources are activated. For example, charging can be performed at rated power, or other emergency power sources such as diesel generators can be activated.

[0119] As another implementation of the embodiment of the present invention, if the time scale is long-term capacity decay, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, a hierarchical control strategy is formulated at the time scale and the spatial scale respectively, which may include the following steps, namely steps e1 to e3:

[0120] Step e1: dynamically adjust the charge and discharge power change rate of each battery according to the battery health status of the batteries in the nuclear power energy storage emergency system.

[0121] In step e2, based on the dynamically adjusted charge and discharge power change rate, a power stratification strategy is implemented for batteries that are severely degraded but have not yet reached the replacement condition. The power stratification strategy includes: classifying batteries into high-power batteries and low-power batteries according to the charge and discharge power change rate.

[0122] In step e3, if the load power change rate under the current working condition is greater than the preset change rate, the load power demand is met by the high-power battery; if the load power change rate under the current working condition is less than the preset change rate, the load power demand is met by the low-power battery.

[0123] Specifically, capacity decay directly reduces the available energy of the energy storage system, shortens the emergency power supply time, and increases the frequency of diesel generator intervention. In response to the capacity decay caused by the long-term operation of energy storage power stations, a long-term energy management strategy is proposed. First, the upper limit of charge and discharge power is dynamically adjusted according to SOH. The expression of charge and discharge power is:

[0124] P BESS_max =P rated ×SOH

[0125] In this embodiment, the charge and discharge power change rate of each battery can be dynamically adjusted according to the battery health status, and power stratification can be implemented for battery modules that are severely degraded but have not reached the replacement conditions, that is, the batteries are divided into high-power batteries and low-power batteries according to the charge and discharge power change rate of the batteries. High-power batteries are used to meet high-load power demands, and low-power batteries are used to meet low-power load demands. Specifically, if the load power change rate under the current working condition is greater than the preset change rate, it means that the current working condition is a high-load power demand, so the load power demand at this time is met by the high-power battery. If the load power change rate under the current working condition is less than the preset change rate, it means that the current working condition is a low-load power demand, and the load power demand at this time is met by the low-power battery. It should be noted that the preset change rate can be determined according to the actual situation and is not specifically limited here.

[0126] For example, in power grid power dispatch, according to the formula: Further calculate the output change of each section ΔP=P i+1 -P i When ΔP is small, the low-power battery is responsible for power output; at the same time, in emergency mode, the high-power battery performs rapid emergency response, and the low-power battery is responsible for stable energy supply.

[0127] At the same time, when capacity is attenuated or lost, three thresholds are designed as follows:

[0128]

[0129] The above (1), (2) and (3) are the three thresholds set respectively. The first threshold faces the grid assessment and needs to consider the impact on the overall operating cost recovery; the second threshold needs to consider the impact of available capacity on emergency response and re-update the strategy; the third threshold is unacceptable and should be avoided through routine maintenance and overhaul. The available capacity ratio of the nuclear power energy storage emergency system under the three thresholds, the discharge scenario of the nuclear power energy storage emergency system and the operation of the diesel generator are shown in Table 1.

[0130] Table 1

[0131]

[0132] After elaborating on the formulation of hierarchical regulatory strategies at different time scales, the following will elaborate on the formulation of hierarchical regulatory strategies at different spatial scales.

[0133] If the spatial scale is the unit layer, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, a hierarchical control strategy is formulated at the time scale and spatial scale respectively. The following steps can be included, namely steps f1 to f4:

[0134] Step f1: convert all energy storage units of the nuclear power energy storage emergency system into a three-dimensional mathematical model to reconstruct the virtual topology.

[0135] Each energy storage unit is a battery cabinet. The horizontal axis of the three-dimensional mathematical model represents the coordinates of the battery cabinet, the vertical axis represents the coordinates of different clusters in the battery cabinet, and the vertical axis is used to represent the coordinates of different battery system packs in each cluster.

[0136] Step f2: Collecting pack data and cluster-level data of different packs through the battery management unit and the battery cluster management unit, and obtaining the battery available capacity and battery health status of different packs based on the pack data and cluster-level data collected by the battery cluster management unit.

[0137] In step f3, based on the available capacity and battery health status of different packs, a target pack is determined whose consistency difference with other packs in the same energy storage unit is greater than a preset difference. The replacement cost of the target pack is compared with the profit loss caused by the target pack. If the replacement cost is less than the profit loss, the target pack is replaced.

[0138] In step f4, if it is determined that some packs need to be removed based on the available battery capacity and battery health status of different packs, the current charge and discharge power of the energy storage unit where the removed pack is located is dynamically updated based on the power loss after the pack is removed. If the updated charge and discharge power is less than the power threshold, the energy storage unit where the removed pack is located is controlled to only meet the load demand with power less than the power threshold.

[0139] Specifically, all energy storage units of the nuclear power energy storage emergency system are Figure 2 The figure is converted into a three-dimensional mathematical model and the virtual topology is reconstructed. Each Pack in the energy storage system can be represented by a three-dimensional array (X, Y, Z), where the X-axis represents different energy storage units, the Y-axis represents different clusters in the energy storage unit, and the Z-axis represents different Packs in the cluster. Figure 2 The diagram includes three large cuboids, each of which represents a battery cabinet. For each battery cabinet, a cluster is formed by stacking multiple small cuboids, and the small cuboids in each cluster represent a pack.

[0140] The BMU (Battery Management Unit) and BCU (Battery Cluster Management Unit) collect pack and cluster-level data, calculating and extracting the voltage (U), current (I), temperature (T), capacity (Q), and time (t) of each pack. Ultimately, the available capacity (SOC) and state of health (SOH) of each individual pack are obtained. Due to the "barrel effect," the health life of a single pack directly affects the charge and discharge performance of the entire unit.

[0141] In the research on fault prediction and diagnosis algorithms based on the active identification strategy of the power station's operational health status in the energy storage emergency system, the cell-cluster layer SOH is used as the unit layer SOH, and the calculation formula is as follows:

[0142]

[0143] If the consistency of a single pack is significantly different from that of other packs in the same unit, it will enter the maintenance process and calculate the replacement cost C Pack Profit loss caused by Pack abnormality C loss Compare and determine the optimal solution. If the replacement cost is less than the profit loss, replace the abnormal pack; otherwise, do not replace it.

[0144] When a module needs to be removed due to a fault or lifespan issue, the system calculates the power loss and dynamically updates the current charge and discharge power of the energy storage unit. When the updated charge and discharge power approaches a threshold, the smart energy management system marks the unit as participating only in low-power deployments (such as during a stable emergency power supply phase).

[0145] In practical applications, the battery will also show the phenomenon of long-term aging. At this time, the method may further include the following steps, namely steps g1 to step g4:

[0146] Step g1: Determine the battery health status of each energy storage unit based on the available battery capacity and battery health status of different Packs.

[0147] Step g2: If the battery health status of an energy storage unit is greater than the first preset battery health status, control the energy storage unit to operate normally.

[0148] Step g3: If the battery health status of an energy storage unit is less than the first preset battery health status and greater than the second preset battery health status, limit the operating range of the battery capacity and the change amplitude of power regulation of the energy storage unit, and control the energy storage unit to carry out a pre-retirement plan to update the overall capacity of the nuclear power energy storage emergency system.

[0149] Step g4: If the battery health status of an energy storage unit is less than the second preset battery health status, control the energy storage unit to completely exit the operation sequence.

[0150] Specifically, it can be classified according to SOH and two-level thresholds are set:

[0151] A. SOH > Threshold_H (the first preset battery health status), and according to the normal strategy, that is, control the energy storage unit to operate normally.

[0152] B. Threshold_L < SOH ≤ Threshold_H, enter the retirement process, limit the SOC operating range and the change amplitude of power regulation ΔP, and at the same time carry out a pre-retirement plan to update the overall capacity information. Among them, Threshold_L is the second preset battery health status.

[0153] C. SOH < Threshold_L, completely exit the operation sequence.

[0154] As an implementation manner of the embodiment of the present invention, if the spatial scale is the overall power station layer, based on the load demand under the current working condition predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, hierarchical regulation strategies can be formulated respectively on the time scale and the spatial scale, which may include the following steps, namely steps h1 to step h3:

[0155] Step h1: Reorganize different energy storage units modularly according to the different medium-voltage access methods and interfaces of the emergency bus to obtain multiple emergency modules.

[0156] In step h2, when the battery capacity and battery health status of different energy storage units in the same emergency module are inconsistent, the emergency module is controlled to dynamically reconstruct the logical topology through power output curve optimization based on the battery capacity, battery health status and real-time load demand of the different energy storage units to obtain a reconstructed emergency module.

[0157] In step h3, if abnormal data of the energy storage unit triggers emergency module-level diagnosis, the emergency module-level failure triggers the energy storage unit to perform risk assessment, and the plant-level control strategy of the nuclear power energy storage emergency system is adjusted based on the risk assessment result.

[0158] Specifically, for the overall power plant layer, the economic feasibility of decommissioning / replacing modules is evaluated in combination with the system SOH prediction and emergency capacity requirements. The emergency plan modularizes different energy storage units according to the different medium-voltage access methods and interfaces of the emergency bus (such as grouping according to X1~Xn, Xn~X2n, etc., where the value of n is determined by the capacity of the entire station and the needs of the nuclear power plant). At the same time, when the SOC and SOH of different energy storage units in the same emergency module are inconsistent, the logical topology of the emergency module is dynamically reconstructed through power output curve optimization based on the SOC and SOH distribution of different energy storage units and real-time load requirements.

[0159] Abnormal data from energy storage units triggers emergency module-level diagnostics. Emergency module-level failures further trigger unit-level risk assessments, ultimately adjusting power plant-level strategies. Meanwhile, the faulty component is removed to minimize the impact of the failure.

[0160] The embodiment of the present invention also provides a cross-scale energy management device 30 for a nuclear power energy storage emergency system, such as Figure 3 As shown, the device includes:

[0161] A data acquisition module 310 is used to collect multi-scale energy data of the nuclear power energy storage emergency system using a sensor network;

[0162] An energy management model construction model 320 is configured to construct an energy management model based on the multi-scale energy data and multi-objective constraints, wherein the energy management model is configured to predict load demand under different operating conditions; the multi-objective constraints are configured to constrain the emergency maximum demand capacity, the grid dispatch demand capacity, and the energy storage battery system capacity to meet preset conditions;

[0163] A hierarchical control strategy formulation module 330 is configured to formulate hierarchical control strategies at different time scales and different spatial scales based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, and to perform energy management using the hierarchical control strategies; each hierarchical control strategy can meet the load demand under the current operating conditions;

[0164] The time scale includes second scale, minute scale, hour scale, short-term capacity withdrawal and long-term capacity attenuation; the spatial scale includes unit layer and power station overall layer; different time scales correspond to different control strategies, different spatial scales correspond to different control strategies, and the control strategies corresponding to time scales and spatial scales are also different.

[0165] In a third aspect, an embodiment of the present invention provides an electronic device 400, such as Figure 4 Shown, including:

[0166] at least one processor 401;

[0167] a memory 402 for storing the at least one processor-executable instruction;

[0168] The at least one processor is configured to execute the instructions to implement the method described in the first aspect.

[0169] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to execute the method described in the first aspect.

[0170] In a fifth aspect, an embodiment of the present invention provides a computer program product, including a computer program, which implements the method described in the first aspect when executed by a processor.

[0171] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention without departing from the principles and purpose of the present invention.

Claims

1. A cross-scale energy management method for a nuclear power energy storage emergency system, characterized in that: The method comprises: Using sensor networks to collect multi-scale energy data from nuclear power energy storage emergency systems; An energy management model is constructed based on the multi-scale energy data and multi-objective constraints, wherein the energy management model is used to predict load demand under different working conditions; the multi-objective constraints are used to constrain the emergency maximum demand capacity, the grid dispatch demand capacity, and the energy storage battery system capacity to meet preset conditions; Based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, hierarchical control strategies are formulated at different time scales and different spatial scales, and energy management is performed using the hierarchical control strategies; each hierarchical control strategy can meet the load demand under the current operating conditions; The time scale includes second scale, minute scale, hour scale, short-term capacity withdrawal and long-term capacity attenuation; the spatial scale includes unit layer and power station overall layer; different time scales correspond to different control strategies, different spatial scales correspond to different control strategies, and the control strategies corresponding to time scales and spatial scales are also different.

2. The method according to claim 1, characterized in that If the time scale is in seconds, a hierarchical control strategy is formulated on the time scale and the space scale respectively based on the load demand under the current working conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including: receiving an emergency response demand signal; the emergency response demand signal is used to indicate a sudden power failure in a nuclear power plant and a need for emergency power supply; The nuclear power energy storage emergency system is controlled to actively provide voltage and energy support to the nuclear power plant, and switch the power plant line to the emergency bus.

3. The method according to claim 1, characterized in that If the time scale is minute and hour, the load demand under the current working conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system are used to formulate hierarchical control strategies on the time scale and space scale respectively, including: Upon receiving a nuclear power failure prediction signal or an advance emergency preparedness signal, obtaining a nuclear power failure prediction probability; comparing the predicted probability of nuclear power failure with a first preset probability, and if the predicted probability of nuclear power failure is less than the first preset probability, controlling the nuclear power energy storage emergency system to operate normally; If the predicted probability of nuclear power failure is greater than the first preset probability and less than a second preset probability, comparing the current remaining capacity of the nuclear power energy storage emergency system with a remaining capacity threshold, wherein the remaining capacity threshold is modified based on the battery health status of the nuclear power energy storage emergency system; If the current remaining capacity of the nuclear power energy storage emergency system is greater than the remaining capacity threshold, control the nuclear power energy storage emergency system to operate normally; if the current remaining capacity of the nuclear power energy storage emergency system is less than the remaining capacity threshold, control the nuclear power energy storage emergency system to charge at rated power; If the predicted probability of nuclear power failure is greater than the second preset probability and less than the third preset probability, controlling the nuclear power energy storage emergency system to charge at rated power; If the predicted probability of nuclear power failure is greater than the third preset probability, the nuclear power energy storage emergency system is controlled to charge at maximum power.

4. The method according to claim 1, wherein If the time scale is minute-level or hour-level, a hierarchical control strategy is formulated on the time scale and spatial scale respectively based on the load demand under the current working condition predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including: Calculating the remaining duration of the nuclear power energy storage emergency system based on the current available capacity of the nuclear power energy storage emergency system and the load power under the current operating conditions; If the remaining duration is less than the preset time, trigger the pre-start process of other emergency power supplies; and monitor the load power in real time. If the load power is greater than the maximum power that the nuclear power energy storage emergency system can output, start the other emergency power supplies; The current available capacity of the nuclear power energy storage emergency system is monitored in real time, and when the current available capacity is less than a preset minimum capacity, the system is switched to other emergency power supply main power supply modes.

5. The method according to claim 1, wherein If the time scale is short-term capacity withdrawal, a hierarchical control strategy is formulated on the time scale and spatial scale based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including: Obtaining the capacity of the energy storage unit that is faulty or under maintenance, and calculating the current available capacity of the nuclear power energy storage emergency system based on the battery capacity monitored in real time by the battery management system; Collect load power under current working conditions in real time, predict power demand for a period of time in the future based on historical data or dispatch instructions, and determine the availability of other emergency power sources; Formulate a control strategy based on the calculated current available capacity and the predicted power demand; Among them, if the current available capacity can meet the power demand, the nuclear power energy storage emergency system is controlled to operate normally; if the current available capacity cannot meet the power demand, the nuclear power energy storage emergency system is controlled to charge or start other emergency power supplies.

6. The method according to claim 1, wherein If the time scale is long-term capacity decay, a hierarchical control strategy is formulated on a time scale and a spatial scale based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, including: Dynamically adjust the charge and discharge power change rate of each battery in the nuclear power energy storage emergency system according to the battery health status of the battery; Based on the dynamically adjusted charge and discharge power change rate, a power stratification strategy is implemented for batteries that are severely degraded but have not yet reached replacement conditions. The power stratification strategy includes: classifying batteries into high-power batteries and low-power batteries according to the charge and discharge power change rate; If the load power change rate under the current working condition is greater than the preset change rate, the load power demand is met by the high-power battery. If the load power change rate under the current working condition is less than the preset change rate, the load power demand is met by the low-power battery.

7. The method according to claim 1, characterized in that If the spatial scale is a unit layer, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, hierarchical control strategies are formulated at the time scale and spatial scale respectively, including: Convert all energy storage units of the nuclear power energy storage emergency system into a three-dimensional mathematical model to reconstruct a virtual topology; each energy storage unit is a battery cabinet, and the horizontal axis of the three-dimensional mathematical model represents the coordinates of the battery cabinet, the vertical axis represents the coordinates of different clusters in the battery cabinet, and the vertical axis is used to represent the coordinates of different battery system packs in each cluster; The battery management unit and battery cluster management unit collect pack data and cluster-level data of different packs, and based on the pack data and cluster-level data collected by the battery cluster management unit, obtain the battery available capacity and battery health status of different packs; Based on the available capacity and battery health status of different packs, a target pack is determined whose consistency difference with other packs in the same energy storage unit is greater than a preset difference. The replacement cost of the target pack is compared with the profit loss caused by the target pack. If the replacement cost is less than the profit loss, the target pack is replaced. If it is determined that some packs need to be removed based on the available battery capacity and battery health status of different packs, the current charge and discharge power of the energy storage unit where the removed pack is located is dynamically updated based on the power loss after the pack is removed. If the updated charge and discharge power is less than the power threshold, the energy storage unit where the removed pack is located is controlled to only meet the load demand with power less than the power threshold.

8. The method according to claim 7, characterized in that The method further comprises: Determine the battery health status of each energy storage unit based on the available battery capacity and battery health status of different packs; If the battery health state of an energy storage unit is greater than a first preset battery health state, controlling the energy storage unit to operate normally; If the battery health state of an energy storage unit is less than a first preset battery health state and greater than a second preset battery health state, the operating range of the battery capacity and the power mobilization change range of the energy storage unit are limited, the energy storage unit is controlled to perform a pre-decommissioning plan, and the entire station capacity of the nuclear power energy storage emergency system is updated; If the battery health state of an energy storage unit is less than the second preset battery health state, the energy storage unit is controlled to completely exit the operation sequence.

9. The method according to claim 7, characterized in that If the spatial scale is the power plant as a whole, based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, hierarchical control strategies are formulated at the time scale and spatial scale respectively, including: Different energy storage units are modularized and reorganized according to the different medium-voltage access methods and interfaces of the emergency busbar to obtain multiple emergency modules; When the battery capacity and battery health status of different energy storage units in the same emergency module are inconsistent, the emergency module is controlled to dynamically reconstruct the logical topology through power output curve optimization based on the battery capacity, battery health status and real-time load demand of the different energy storage units to obtain a reconstructed emergency module; If abnormal data of the energy storage unit triggers emergency module-level diagnosis, the emergency module-level failure triggers the energy storage unit to perform risk assessment, and the power station-level control strategy of the nuclear power energy storage emergency system is adjusted based on the risk assessment result.

10. A cross-scale energy management device for a nuclear power energy storage emergency system, characterized in that: The device comprises: A data acquisition module is used to collect multi-scale energy data of the nuclear power energy storage emergency system using a sensor network; An energy management model construction model is used to construct an energy management model based on the multi-scale energy data and multi-objective constraints, wherein the energy management model is used to predict load demand under different working conditions; the multi-objective constraints are used to constrain the emergency maximum demand capacity, the grid dispatch demand capacity, and the energy storage battery system capacity to meet preset conditions; a hierarchical control strategy formulation module for formulating hierarchical control strategies at different time scales and different spatial scales based on the load demand under the current operating conditions predicted by the energy management model and the current available capacity of the nuclear power energy storage emergency system, and performing energy management through the hierarchical control strategies; each hierarchical control strategy can meet the load demand under the current operating conditions; The time scale includes seconds, minutes and hours, short-term capacity withdrawal and long-term capacity decay; the spatial scale includes the unit layer and the power station overall layer; different time scales correspond to different control strategies, different spatial scales correspond to different control strategies, and the control strategies corresponding to time scales and spatial scales are also different.

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