Nuclear power storage integrated NPSI joint robust operation and value quantification method and terminal

Abstract

The invention provides a nuclear storage integrated NPSI joint robust operation and value quantification method and a terminal, and the method comprises the steps: firstly considering the operation characteristics of nuclear power and pumped storage, and building a nuclear storage integrated NPSI joint operation model through setting multiple peak regulation depths and considering the flexible complementation of daily operation characteristics; then, considering the random uncertainty and overload of new energy, considering the peak regulation cost of the system, and optimizing the nuclear storage integrated NPSI joint operation model to obtain an NPSI joint robust optimization operation model capable of flexibly responding to the adjustment demand of the system; and finally, on the basis of the NPSI joint robust optimization operation model, system value quantitative indexes of NPSI operation in multiple scenes are constructed, nuclear power and pumped storage are effectively combined for operation, the requirements of a power system are better met, the problem of insufficient flexibility of the nuclear power is solved, and consumption of renewable energy in different scenes is promoted.

Description

Technical Field

[0001] The present invention belongs to the field of robust optimization dispatching of power systems, and in particular relates to a nuclear-storage integrated NPSI joint robust operation and value quantification method and terminal. Background Art

[0002] As the "dual carbon" goals are gradually advanced, the layout planning of new energy sources such as wind power and photovoltaics is also accelerating, increasing the uncertainty of the system power output and posing great challenges to the safe and stable operation of the power system. At the same time, the peak-to-valley difference in the power system is also increasing year by year, making the peak-to-peak pressure of the power system with thermal power units as the main peak-to-peak unit more severe. In addition, due to the limitations of the power structure and the influence of heating demand, the power system's low-peak peak-to-peak capacity is limited, and the problems of wind and solar abandonment are becoming increasingly serious, which brings great difficulties to the safety of the power system and the absorption of a high proportion of new energy. New peak-to-peak power sources and means are urgently needed.

[0003] Energy storage is a powerful means to deal with the instability of renewable energy output, of which pumped storage accounts for more than 76%; at the same time, nuclear power has less environmental pollution, large installed capacity per unit area, lower marginal cost than thermal power, nuclear fuel is theoretically inexhaustible, and operation is reliable. It is one of the important links in solving energy shortcomings. Combined with the excellent regulation capacity of pumped storage, it can greatly release the potential for nuclear power construction.

[0004] However, nuclear power has the characteristics of high construction cost, extremely high safety requirements, technical limitations for frequent changes in power generation load, difficulties in fuel design and post-processing caused by frequent power changes, and high risk of misoperation. The early operating mode only carried base load and did not participate in peak regulation. Nuclear power operated at rated or near rated power, and other units adjusted power in accordance with load changes. After technological iterations, the newly added nuclear power units generally have a certain peak regulation capability, but they are still not as good as thermal power units in terms of peak regulation depth and economy, and there are certain safety hazards.

[0005] At the same time, with the rapid development of renewable energy, the load peak-valley difference is increasing day by day. In areas where nuclear power accounts for a high proportion, nuclear power units are facing a more urgent peak-shaving demand. However, the depth and speed of nuclear power units are subject to dual restrictions on safety and economy. At the same time, the nuclear fuel rod replacement cycle is relatively fixed. The peak-shaving operation of nuclear power is equivalent to "abandoning nuclear power", which is essentially a waste. Pumped storage power stations are currently recognized as the most economical peak-shaving power source. They can play the valley-filling function that other power plants do not have, and they start quickly, operate reliably, can quickly respond to rapid changes in load, and have powerful auxiliary service functions. Nuclear storage matching is the best choice to utilize their respective advantages. The joint operation of nuclear power and pumped storage will better meet the needs of the power system and ensure that nuclear power units operate more stably at base load. Therefore, how to jointly operate nuclear power and pumped storage has become a technical problem that needs to be solved urgently. Summary of the invention

[0006] The technical problem to be solved by the present invention is to provide a nuclear-storage integrated NPSI joint robust operation and value quantification method and terminal, which can make use of the excellent auxiliary service characteristics of pumped storage while making up for the power shortage with nuclear power, ensure the stability of regional power supply, solve the problem of insufficient flexibility of nuclear power, and promote the consumption of renewable energy in different scenarios.

[0007] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0008] A nuclear storage integrated NPSI joint robust operation and value quantification method, comprising the steps of:

[0009] S1. Taking into account the operating characteristics of nuclear power and pumped storage, a nuclear-storage integrated NPSI joint operation model is established by setting multiple peak-shaving depths and considering the flexible complementarity of daily operating characteristics;

[0010] S2. Considering the random uncertainty and load overload of new energy, taking into account the system peak load regulation cost, optimizing the nuclear storage integrated NPSI joint operation model to obtain the NPSI joint robust optimization operation model;

[0011] S3. Based on the NPSI joint robust optimization operation model, the system value quantitative indicators of NPSI operation under multiple scenarios are constructed, including comprehensive quantification of safety indicators, reliability indicators and economic indicators of NPSI participating in power system operation under typical days in different seasons and extreme scenarios.

[0012] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0013] A nuclear power storage integrated NPSI joint robust operation and value quantification terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0014] S1. Taking into account the operating characteristics of nuclear power and pumped storage, a nuclear-storage integrated NPSI joint operation model is established by setting multiple peak-shaving depths and considering the flexible complementarity of daily operating characteristics;

[0015] S2. Considering the random uncertainty and load overload of new energy, taking into account the system peak load cost, optimizing the nuclear storage integrated NPSI joint operation model to obtain the NPSI joint robust optimization operation model;

[0016] S3. Based on the NPSI joint robust optimization operation model, the system value quantitative indicators of NPSI operation under multiple scenarios are constructed, including comprehensive quantification of safety indicators, reliability indicators and economic indicators of NPSI participating in power system operation under typical days in different seasons and extreme scenarios.

[0017] The beneficial effects of the present invention are as follows: a nuclear-storage integrated NPSI joint robust operation and value quantification method is provided, firstly, the operating characteristics of nuclear power and pumped storage are taken into account, and a nuclear-storage integrated NPSI joint operation model is established by setting multiple peak-shaving depths and considering the flexible complementarity of daily operating characteristics; then, the random uncertainty and load overload of new energy sources and the system peak-shaving cost are taken into account, and the nuclear-storage integrated NPSI joint operation model is optimized to obtain a NPSI joint robust optimization operation model that can flexibly respond to system regulation needs; finally, based on the NPSI joint robust optimization operation model, a system value quantification index of NPSI operation in multiple scenarios is constructed, including a comprehensive quantification of the safety index, reliability index and economic index of NPSI participating in power system operation in typical days of different seasons and extreme scenarios, so as to effectively operate nuclear power and pumped storage together, better meet the needs of the power system, solve the problem of insufficient flexibility of nuclear power, and promote the consumption of renewable energy in different scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is an overall flow chart of a nuclear-storage integrated NPSI joint robust operation and value quantification method according to an embodiment of the present invention;

[0019] Figure 2 It is a curve diagram of the power output and load relationship of the NPSI joint operation power station in various scenarios in an embodiment of the present invention;

[0020] Figure 3 It is a schematic diagram of horizontal comparison of quantitative indicators of power supply reliability of NPSI jointly operated power stations participating in power system dispatching in an embodiment of the present invention;

[0021] Figure 4 It is a horizontal comparison diagram of the quantitative indicators of new energy consumption of NPSI joint operation power station participating in power system dispatching in an embodiment of the present invention;

[0022] Figure 5 It is a schematic diagram of horizontal comparison of quantitative indicators of peak load support of NPSI joint operation power station participating in power system dispatching system in an embodiment of the present invention;

[0023] Figure 6 The present invention is a schematic diagram of a multi-factor cyclic aging test process for a nuclear storage integrated NPSI combined robust operation and value quantification method according to an embodiment of the present invention.

[0024] Description of labels:

[0025] 1. A nuclear-storage integrated NPSI joint robust operation and value quantification terminal; 2. Memory; 3. Processor. DETAILED DESCRIPTION

[0026] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in combination with the implementation modes and the accompanying drawings.

[0027] Please refer to Figures 1 to 5 , a nuclear storage integrated NPSI joint robust operation and value quantification method, comprising the steps of:

[0028] S1. Taking into account the operating characteristics of nuclear power and pumped storage, a nuclear-storage integrated NPSI joint operation model is established by setting multiple peak-shaving depths and considering the flexible complementarity of daily operating characteristics;

[0029] S2. Considering the random uncertainty and load overload of new energy, taking into account the system peak load cost, optimizing the nuclear storage integrated NPSI joint operation model to obtain the NPSI joint robust optimization operation model;

[0030] S3. Based on the NPSI joint robust optimization operation model, the system value quantitative indicators of NPSI operation under multiple scenarios are constructed, including comprehensive quantification of safety indicators, reliability indicators and economic indicators of NPSI participating in power system operation under typical days in different seasons and extreme scenarios.

[0031] As can be seen from the above description, the beneficial effects of the present invention are: providing a nuclear-storage integrated NPSI joint robust operation and value quantification method, first taking into account the operating characteristics of nuclear power and pumped storage, and establishing a nuclear-storage integrated NPSI joint operation model by setting multiple peak-shaving depths and considering flexible complementarity of daily operating characteristics; then considering the random uncertainty and load overload of new energy, taking into account the system peak-shaving cost, optimizing the nuclear-storage integrated NPSI joint operation model to obtain a NPSI joint robust optimization operation model that can flexibly respond to system regulation needs; finally, based on the NPSI joint robust optimization operation model, constructing system value quantification indicators for NPSI operation in multiple scenarios, including comprehensive quantification of safety indicators, reliability indicators and economic indicators of NPSI participating in power system operation in typical days of different seasons and extreme scenarios, effectively combining nuclear power and pumped storage to better meet the needs of the power system, solve the problem of insufficient flexibility of nuclear power, and promote the consumption of renewable energy in different scenarios.

[0032] Furthermore, the step S1 is specifically as follows:

[0033] S11. Establish a nuclear power operation model that takes into account multiple peak-shaving depths, and define the range of 50% to 100% of the rated power as the safe peak-shaving depth range of nuclear power. Set the relevant constraints for nuclear power peak-shaving within this range, including setting multiple levels of peak-shaving depth within the rated power range and allowing nuclear power units to achieve transition between low power and full power at three speeds between different peak-shaving depths, as shown in the following formulas (1) to (4):

[0034]

[0035] Among them, s nu is the peak-shaving depth of the nuclear power unit; n is the peak-shaving depth identifier, representing the peak-shaving depth at the nth level; and are the maximum and minimum outputs of nuclear power units respectively; and are the peak-shaving power and low-power stage power of the nuclear power unit at the nth level of peak-shaving depth; j is the peak-shaving speed identifier, 1 to 3 represent different peak-shaving speeds; is the power of the nuclear power unit in the transition state between high and low power; t represents the scheduling period; is the actual output of the nuclear power unit; q t , l n,t and d n,j,t They are the full power, low power and transition operation indicators at time t respectively;

[0036] The power state constraint of the nuclear power unit is as follows:

[0037]

[0038] The minimum rated / low power operation time constraint is as follows:

[0039]

[0040] Among them, t N It is a timing number to distinguish it from t; and The minimum duration of the full power and low power operation states respectively; and are all running identifiers. At this time, the constraint on the identifier is to set t N From t to or Cyclic constraints are used to ensure the minimum rated / low power operation time of nuclear power, where 1 represents the 1h operation period and 24 is the total number of periods;

[0041] Then the running sign coupling constraints are as follows:

[0042]

[0043] Among them, q t+1 and q t-1 Respectively represent the full power operation symbol of the period before / after period t; l n,t+1 and l n,t-1 Respectively represent the low power operation identifier of the period before / after period t;

[0044] S12. Establish a pumped storage operation model with flexible switching of multiple operating conditions, and consider that the pumped storage operation mode is subject to the constraints of the operation cycle, the storage capacity constraints of the upper and lower reservoirs of the pumped storage, and the daily operation storage capacity constraints established based on the daily operation scenarios in the charge / discharge rights, as shown in the following formulas (9) to (14):

[0045]

[0046] in, and Respectively represent the lower and upper limits of the upper storage capacity; It represents the water storage capacity in the reservoir during period t; and They represent the state variables of power generation and water pumping during period t, taking values ​​of 0 or 1; and They represent the power generation and pumping power in period t respectively; η t and η p denote the power generation and pumping efficiency, respectively; and Respectively represent the lower and upper limits of the generated power; is a constant pumping power;

[0047] S13, establish a nuclear-storage integrated NPSI joint operation model, and obtain the objective function and operation constraints of the nuclear-storage integrated NPSI joint operation model as follows:

[0048]

[0049] Among them, F int is the total operating cost of the NPSI combined operation power station, F nu is the operating cost of nuclear power units in NPSI joint operation power plants, F ps The operating costs of the pumped storage units in the power station for NPSI co-operation; and are the total output of the NPSI joint operation power station, the output of the nuclear power unit and the output of the pumped storage unit. When it is positive, it operates in power generation condition, and when it is negative, it operates in pumping condition.

[0050] From the above description, it can be seen that in order to ensure the safety of nuclear power units participating in peak-shaving operation, the range of 50% to 100% of the rated power is defined as the safe peak-shaving depth range of nuclear power, and the relevant constraints on nuclear power peak-shaving are set within this range to meet the peak-shaving flexibility requirements; at the same time, by setting multiple peak-shaving depths within the rated power range, the safety of nuclear power units participating in peak-shaving operation can be guaranteed; at the same time, between different peak-shaving depths, nuclear power units are allowed to transition between low power and full power at three speeds, thereby improving the peak-shaving capacity of nuclear power to meet the peak-shaving flexibility requirements of the system under different scenarios; the nuclear-storage integrated NPSI joint operation model can ensure the safety of nuclear power units participating in peak-shaving operation, set multiple peak-shaving depths within the rated power range, and between different peak-shaving depths, nuclear power units are allowed to transition between low power and full power at three speeds, thereby improving the peak-shaving capacity of nuclear power to meet the peak-shaving flexibility requirements of the system under different scenarios.

[0051] Furthermore, the step S2 is specifically as follows:

[0052] S21. Considering the uncertainty of new energy output, a NPSI joint robust optimization operation model including nuclear power and pumped storage is constructed. The objective function is shown in formula (16):

[0053]

[0054] Among them, C all is the total target cost; C gen is the operating cost of conventional thermal power units; C int The operating cost of the NPSI joint operation power station; C wind is the operating cost of the wind farm; C pv is the operating cost of the photovoltaic power station; C D is the load shedding penalty cost; i is the node where different units are located; d is the node where the load is located; t is the scheduling period; the remaining parameters are decision variables: The output of the units in the power station jointly operated by NPSI; is the output of conventional thermal power units; I i,t It is the operating status identifier of the thermal power unit; is the wind power output level under uncertain scenarios; is the photovoltaic output level under uncertain scenarios; The abandoned power of wind power; is the abandoned power of photovoltaic; ΔD d,t is the load removal power;

[0055] S22. Establish typical day operation constraints, including operation constraints under basic scenarios and operation constraints under uncertain scenarios;

[0056] The operation constraints established under the basic scenario include node power balance constraints, line flow constraints, wind power plant output constraints, photovoltaic power station output constraints, conventional unit operation constraints, output constraints, backup constraints, minimum start / stop time constraints, ramp constraints, and NPSI operation and backup constraints;

[0057] Establishing operation constraints under uncertain scenarios includes node power balance constraints, line flow restriction constraints, re-dispatch constraints of conventional units, NPSI flexible dispatch constraints, wind and solar uncertain output constraints, and photovoltaic uncertain output constraints;

[0058] S23. Use the columns and constraints to generate a C&CG algorithm to solve the objective function. The implementation process of the C&CG algorithm is as follows:

[0059] Based on the fact that the objective function is a min-max-min problem, the C&CG algorithm is used to solve it and the following formula (17) is obtained:

[0060]

[0061] Among them, Constraints under the base scenario refers to the constraints under the base scenario. The goal of the pre-dispatch stage is to minimize the expected total cost, including the start-up and shutdown constraints of conventional units, output constraints, and C&CG constraints returned in the sub-problem. The above formula (17) can be modified into the following formula (18):

[0062]

[0063] Among them, U wind and U pv are the budget uncertainty set constraints for wind power and photovoltaic power, respectively; U is the budget uncertainty set; and They are 0-1 variables in the uncertainty set of wind power and photovoltaic power budgets respectively;

[0064] In the rescheduling phase, the inner min problem in formula (18) is transformed into a max problem for solution, as shown in formula (19):

[0065] max u∈U,α,β,χ [α(A-Bσ-Cχ)+Dβ](19);

[0066] Where α, β and χ are the dual variables of the constraints, and A, B, C and D are the matrices corresponding to the corresponding constraints;

[0067] After the dual transformation, the objective function of the rescheduling phase is rewritten as formula (19), and then new variables are introduced to generate the C&CG cut set constraints as follows formula (20):

[0068]

[0069] Among them, all C&CG cutplane obtainedsofar means that when using the C&CG algorithm, the cutting plane constraints are generated in the solution process by performing dual transformation on the subproblems; k represents the number of iterations.

[0070] From the above description, it can be seen that in order to quantitatively analyze the role of the coordinated operation of nuclear power and pumped storage in the power system under the new power system, and taking into account the coordinated operation mode of nuclear power and pumped storage, a NPSI joint robust optimization operation model of the power system containing nuclear power and pumped storage is constructed.

[0071] Furthermore, the step S3 is specifically as follows:

[0072] S31. Construct a quantitative index of power supply reliability for NPSI joint operation power stations participating in system operation, and use the system load shedding penalty fee as the evaluation criterion for enhancing system power supply reliability. Formula (21) is the quantitative index of the value of enhancing system power supply reliability per MW installed capacity of NPSI:

[0073]

[0074] Among them, U is the reduction of load shedding penalty fee per MW installed nuclear power and pumped storage system, in $; N is the number of operation scenarios; P nu and P ps They are the installed capacity of nuclear power and pumped storage in the system, in MW. In the single-nuclear power operation mode, the installed capacity of pumped storage is 0;

[0075] S32. Construct the quantitative index of new energy consumption of NPSI joint operation power station participating in power system dispatch, and use the penalty fee of new energy abandonment in the system as the evaluation standard for promoting new energy consumption. Formula (22) is the quantitative index of the value of promoting new energy consumption per MW installed capacity of NPSI:

[0076]

[0077] Among them, C is the power consumption of new energy sources such as nuclear power and pumped storage in MW;

[0078] S33. Construct the quantitative index of NPSI joint operation power station participating in the peak load support of power system dispatching system, and use the NPSI peak load cost and the matching degree between integrated units and load as the evaluation criteria for alleviating the peak load pressure of the system. Formula (23) is the quantitative index of the value of NPSI per MW installed capacity to alleviate the peak load pressure of the system:

[0079]

[0080] Among them, K is the reduction of peak load regulation cost per MW installed nuclear power and pumped storage, in $; F and F peak They are respectively the system peak-shaving costs when the nuclear storage part does not participate and the system peak-shaving costs when it participates.

[0081] From the above description, it can be seen that in order to meet the impact of the new power system when considering the high proportion of renewable energy grid connection, quantitative indicators are proposed for the NPSI joint robust optimization operation model on the basis of constructing the NPSI operation mode, aiming to analyze the impact of the NPSI joint robust optimization operation model on power system dispatch from different aspects under the premise of considering the uncertainty of renewable energy.

[0082] Furthermore, after step S3, the following steps are further included:

[0083] S4. Using IEEE standard cases to perform simulations on typical days in different seasons and three extreme scenarios, the system value quantification index of NPSI operation in multiple scenarios constructed by the NPSI joint robust optimization operation model is analyzed.

[0084] From the above description, it can be seen that by using IEEE standard cases for simulation in typical days of different seasons and three extreme scenarios, the analysis of the quantitative indicators of the power system value of NPSI operation can be effectively realized.

[0085] The present invention provides a nuclear storage integrated NPSI joint robust operation and value quantification method, which is mainly used in scenarios where the uncertainty of new energy output is considered. The following is a specific description in conjunction with a specific embodiment:

[0086] Please refer to Figure 1 , Embodiment 1 of the present invention is:

[0087] Nuclear-Pumped Storage Integration (NPSI) refers to a mode of joint operation of nuclear power plants and pumped storage power plants. This mode uses the stable output characteristics of nuclear power and the dispatching flexibility of pumped storage power plants to jointly constitute the boundary conditions of the power system. In this mode, nuclear power plants are mainly responsible for providing base load power, while pumped storage power plants provide peak load regulation services according to the load changes of the power system, that is, pumped storage power plants are used to balance the load of the power system during the peak and valley periods of power demand to improve the economy and safety of the power system. In the NPSI mode, nuclear power and pumped storage are jointly operated, coupled in dispatching information and power flow, and present the macro characteristics of a centralized dispatching unit to the outside world; while inside the integrated model, the specific dispatching conditions of internal nuclear power and pumped storage are determined by decoupling the dispatching information, and the power is integrated at the time of output to achieve centralized output.

[0088] This embodiment proposes a nuclear-storage integrated NPSI joint robust operation and value quantification method, such as Figure 1 As shown, the steps include:

[0089] S1. Taking into account the operating characteristics of nuclear power and pumped storage, a nuclear-storage integrated NPSI joint operation model that can flexibly respond to power system needs is established by setting multiple peak-shaving depths and considering flexible complementarity of daily operating characteristics.

[0090] S2. Considering the random uncertainty and load overload of renewable energy, taking into account the system peak regulation cost, the nuclear storage integrated NPSI joint operation model is optimized to obtain the NPSI joint robust optimization operation model, and participate in the auxiliary service market of the power system.

[0091] S3. Based on the NPSI joint robust optimization operation model, the system value quantitative indicators of NPSI operation in multiple scenarios are constructed, including comprehensive quantification of the safety indicators, reliability indicators and economic indicators of NPSI participating in power system operation in typical days of different seasons and extreme scenarios.

[0092] That is, in this embodiment, the operating characteristics of nuclear power and pumped storage are first taken into account, and a nuclear-storage integrated NPSI joint operation model is established by setting multiple peak-shaving depths and considering the flexible complementarity of daily operating characteristics; then, the random uncertainty and load overload of new energy sources and the system peak-shaving cost are taken into account, and the nuclear-storage integrated NPSI joint operation model is optimized to obtain a NPSI joint robust optimization operation model that can flexibly respond to system regulation needs; finally, based on the NPSI joint robust optimization operation model, system value quantitative indicators of NPSI operation in multiple scenarios are constructed, including comprehensive quantification of safety indicators, reliability indicators and economic indicators of NPSI participating in power system operation in typical days of different seasons and extreme scenarios, so as to effectively operate nuclear power and pumped storage together, better meet the needs of the power system, solve the problem of insufficient flexibility of nuclear power, and promote the consumption of renewable energy in different scenarios.

[0093] In addition, in this embodiment, after step S3, the following steps are further included:

[0094] S4. Using IEEE standard cases to conduct simulations on typical days in different seasons and three extreme scenarios, the system value quantitative indicators of NPSI operation under multiple scenarios constructed by the NPSI joint robust optimization operation model are analyzed.

[0095] That is, by using IEEE standard cases to perform simulations on typical days in different seasons and in three extreme scenarios, the quantitative indicators of the value of the power system operated by NPSI can be effectively analyzed.

[0096] Please refer to Figures 2 to 5, Embodiment 2 of the present invention is:

[0097] A nuclear power storage integrated NPSI joint robust operation and value quantification method, based on the above embodiment 1, in this embodiment, step S1 is specifically:

[0098] S11. Establish a nuclear power operation model that takes into account multiple peak-shaving depths. To ensure the safety of nuclear power units participating in peak-shaving operation, the range of 50% to 100% of the rated power is set as the safe peak-shaving depth range of nuclear power. Within this range, the relevant constraints of nuclear power peak-shaving are set to meet the peak-shaving flexibility requirements. This can ensure the safety of nuclear power units participating in peak-shaving operation, including setting multiple levels of peak-shaving depth within the rated power range and allowing nuclear power units to achieve transition between low power and full power at three speeds between different peak-shaving depths, thereby improving the peak-shaving capacity of nuclear power to meet the peak-shaving flexibility requirements under different system scenarios. The output constraints of nuclear power units are as follows: Formulas (1) to (4):

[0099]

[0100] Among them, s nu is the peak-shaving depth of the nuclear power unit; n is the peak-shaving depth identifier, representing the peak-shaving depth at the nth level; and are the maximum and minimum outputs of nuclear power units respectively; and are the peak-shaving power and low-power stage power of the nuclear power unit at the nth level of peak-shaving depth; j is the peak-shaving speed identifier, 1 to 3 represent different peak-shaving speeds; is the power of the nuclear power unit in the transition state between high and low power; t represents the scheduling period; is the actual output of the nuclear power unit; q t , l n,t and d n,j,t They are the full power, low power and transition operation indicators at time t respectively.

[0101] The power state constraint of the nuclear power unit is as follows:

[0102]

[0103] The minimum rated / low power operation time constraint is as follows:

[0104]

[0105] Among them, t N It is a timing number to distinguish it from t; T h N and T l NThe minimum duration of the full power and low power operation states respectively; and are all running identifiers. At this time, the constraint on the identifier is to set t N From t to or Cyclic constraints are imposed to ensure the minimum rated / low power operation time of nuclear power, where 1 represents the 1h operation period and 24 is the total number of periods.

[0106] Then the running sign coupling constraints are as follows:

[0107]

[0108] Among them, q t+1 and q t-1 Respectively represent the full power operation symbol of the period before / after period t; l n,t+1 and l n,t-1 Respectively represent the low power operation indicator for the period before / after period t.

[0109] S12. Establish a pumped storage operation model with flexible switching of multiple operating conditions, and consider that the pumped storage operation mode is subject to the constraints of the operation cycle, the storage capacity constraints of the upper and lower reservoirs of the pumped storage, and the daily operation storage capacity constraints established based on the daily operation scenarios in the charging / discharging rights, as shown in the following formulas (9) to (14), where the capacity of the upper reservoir is limited and the capacity of the lower reservoir is relatively large, so the capacity constraint on the upper reservoir is strict.

[0110] The pumped storage output constraint is:

[0111]

[0112] The storage capacity and electricity balance constraint is:

[0113]

[0114] The upper and lower limits of the upper reservoir capacity are:

[0115]

[0116] The daily operating storage capacity balance constraint is:

[0117]

[0118] The unit start and stop variable constraints are:

[0119]

[0120] The upper and lower limits of power generation are:

[0121]

[0122] The pumping power constraint is:

[0123]

[0124] in, and Respectively represent the lower and upper limits of the upper storage capacity; Indicates the water storage capacity in the reservoir during period t; ΔU max The maximum daily change of upper reservoir capacity; and They represent the state variables of power generation and water pumping during period t, taking values ​​of 0 or 1; and They represent the power generation and pumping power in period t respectively; η t and η p denote the power generation and pumping efficiency, respectively; and Respectively represent the lower and upper limits of the generated power; The pumping power is constant.

[0125] S13. Establish a nuclear power plant integrated NPSI joint operation model. The operation modes of NPSI mainly include three-stage tracking mode, incomplete tracking mode, and complete tracking mode. These modes make a trade-off between flexible peak regulation of nuclear power and matching load, and they are all conservative to a certain extent. Therefore, on this basis, a peak regulation tracking mode is proposed. In this mode, the output curve of the NPSI unit completely matches the load curve of the power system. However, the nuclear power unit has a certain peak regulation capability at this time. On this basis, the pumped storage power station enters the corresponding charging and discharging conditions according to the load changes of the power system. The specific output situation requires that the information units in the internal nuclear power and pumped storage of the NPSI power station interact and coordinate to derive the scheduling strategy for the corresponding time period after obtaining the scheduling information. The objective function and operation constraints of the nuclear power plant integrated NPSI joint operation model are established as follows (15):

[0126]

[0127] Among them, F int is the total operating cost of the NPSI combined operation power station, F nu is the operating cost of nuclear power units in NPSI joint operation power plants, F ps The operating costs of the pumped storage units in the power station for NPSI co-operation; and are the total output of the NPSI joint operation power station, the output of the nuclear power unit and the output of the pumped storage unit. When it is positive, it operates in power generation condition, and when it is negative, it operates in pumping condition.

[0128] In the NPSI joint operation model, the peak-shaving cost of NPSI power plants in power system dispatch is considered and quantified into the peak-shaving cost of nuclear power units and the peak-shaving cost of pumped storage units through decoupling.

[0129] Including the peak load regulation cost of nuclear power into the operating cost, it can be expressed as:

[0130]

[0131] Among them, i is the node where the nuclear power unit is located, That is, the operating cost of the nuclear power unit at node i in period t, is the output of nuclear power units in the basic scenario. is a linear function, where a i and b i is the power generation cost coefficient of nuclear power unit i; is the peak load regulation cost of the nuclear power unit at node i in period t; C N is the peak load cost coefficient of nuclear power units. The peak load cost coefficient of nuclear power units is composed of the fuel cost C caused by peak load F and safety cost C S Composition, can be expressed as:

[0132] C N =C F +σ N C S (15-3);

[0133] Among them, C F is the peak load fuel cost of nuclear power units; C S is the peak load safety cost of nuclear power units; N is the nuclear power safety value coefficient.

[0134] Pumped storage units participate in power system dispatching by switching between power generation and pumping. Their operating costs mainly include the startup cost of the units, and the shutdown cost can be ignored, so it can be expressed as:

[0135]

[0136] in, It is a 0-1 state variable. When it is 1, it means that the unit i switches from the shutdown condition to the power generation condition during the period t, and when it is 0, it is the opposite. The cost of starting the generator of pumped storage unit i once; It is a 0-1 state variable. When it is 1, it means that the unit i switches from the shutdown condition to the pumping condition during the period t, and when it is 0, it is the opposite. is the cost of starting the motor of pumped storage unit i once.

[0137] In this embodiment, step S2 is specifically as follows:

[0138] S21. Considering the uncertainty of new energy output, a NPSI joint robust optimization operation model containing nuclear power and pumped storage is constructed. In order to quantitatively analyze the role of nuclear power and pumped storage in the coordinated operation of the new power system, a joint robust optimization operation model of the power system containing nuclear power and pumped storage is constructed taking into account the coordinated operation mode of nuclear power and pumped storage, and an evaluation strategy for the NPSI joint robust optimization operation of the power system is proposed. The objective function in the joint robust optimization operation model is to minimize the total cost, including the operating cost of the NPSI power station, the operating cost of conventional units, and the penalty cost of wind and solar power abandonment in the power system. The objective function is shown in formula (16):

[0139]

[0140] Among them, C all is the total target cost; C gen is the operating cost of conventional thermal power units; C int The operating cost of the NPSI joint operation power station; C wind is the operating cost of the wind farm; C pv is the operating cost of the photovoltaic power station; C D is the load shedding penalty cost; i is the node where different units are located; d is the node where the load is located; t is the scheduling period; the remaining parameters are decision variables: The output of the units in the power station jointly operated by NPSI; is the output of conventional thermal power units; I i,t It is the operating status identifier of the thermal power unit; is the wind power output level under uncertain scenarios; is the photovoltaic output level under uncertain scenarios; The abandoned power of wind power; is the abandoned power of photovoltaic; ΔD d,t is the load removal power.

[0141] (1) Operating costs of thermal power units

[0142] The operating cost of thermal power units includes the cost of coal-fired power generation and the cost of unit start-up and shutdown, which can be uniformly expressed as:

[0143]

[0144] Among them, i is the node where the thermal power unit is located; t is the daily operation period of the thermal power unit; That is, the start-up and shutdown cost of the thermal power unit at node i in period t; is the operating cost of the thermal power unit at node i during period t; su iand sd i are the unit start-up and shutdown costs of the unit respectively; i,t andrd i,t Indicates the start and stop status of the unit during period t; P i,t Output for thermal power units in the basic scenario; is a quadratic function, which is directly described here using the quadratic function, where a i 、b i and c i is the fuel cost coefficient of thermal power units.

[0145] (2) NPSI operating costs:

[0146]

[0147] (3) Penalty costs for wind and solar power abandonment:

[0148]

[0149] Among them, k w is the wind abandonment penalty coefficient; ΔP t w is the wind farm abandoned wind power in period t; k pv is the light abandonment penalty coefficient; ΔP t pv is the abandoned power of the photovoltaic field in the t period.

[0150] (4) Load shedding penalty cost:

[0151]

[0152] Among them, k D is the load shedding penalty coefficient; ΔD t is the load shedding power in period t.

[0153] S22. Establish typical daily operation constraints, including operation constraints under basic scenarios and operation constraints under uncertain scenarios.

[0154] The operation constraints established under the basic scenario include node power balance constraints, line flow constraints, wind power plant output constraints, photovoltaic power station output constraints, conventional unit operation constraints, output constraints, reserve constraints, minimum start / stop time constraints, ramp constraints, and NPSI operation and reserve constraints. The operation constraints established under uncertain scenarios include node power balance constraints, line flow limit constraints, conventional unit re-dispatch constraints, NPSI flexible dispatch constraints, wind and solar uncertain output constraints, and photovoltaic uncertain output constraints.

[0155] (1) Node power balance constraint:

[0156]

[0157] Among them, i is the node where different units are located, d is the node where different loads are located, l is the different transmission lines, and t is the scheduling period; The output of conventional thermal power units; The output of the photovoltaic power station; The output of the wind farm; is the output of the NPSI unit; PL l,t is the transmission power of the transmission line in the power system; is the wind power output level under uncertain scenarios; is the photovoltaic output level under uncertain scenarios; The abandoned power of wind power; is the abandoned power of photovoltaic; D d,t is the power prediction value of the user load; ΔD d,t is the load removal power; N g 、N pv 、N w 、N int 、N l and N d They are the nodes and line sets corresponding to different units, transmission lines and loads respectively.

[0158] (2) Line flow constraints:

[0159] P l,t =(θ m,t -θ n,t ) / x l , θ ref =0 (31);

[0160]

[0161] Among them, θ m,t and θ n,t is the phase angle between the first and last nodes of transmission line l at time t, θ ref is the reference node phase angle value, x l is the reactance value of the transmission line l, P l max It is the maximum power allowed to flow through the transmission line l.

[0162] (3) Wind power plant output constraints:

[0163]

[0164] in, is the predicted output power of the wind turbine at time t.

[0165] (4) Output constraints of photovoltaic power stations:

[0166]

[0167] in, is the predicted output power of the wind turbine at time t.

[0168] (5) Constraints on thermal power units, output constraints and standby constraints, minimum start / stop time constraints and ramp constraints:

[0169] P i,t =∑ k P i,k,t (35);

[0170]

[0171] P i max and P i min is the upper and lower limits of the output power of unit i, I i,t Indicates the running status of the unit (1 for startup, 0 for shutdown). and It is the maximum value of the upper and lower adjustable reserve capacity of unit i.

[0172] Unit startup and shutdown cost constraints:

[0173]

[0174] Hill climbing constraints:

[0175]

[0176] In formulas (39)-(40), UR i and DR i It is limited for up and down climbing.

[0177] (6) NPSI power plant operation constraints, including nuclear power and pumped storage constraints:

[0178]

[0179] Establishing operation constraints under uncertain scenarios, in order to cope with the uncertainty of wind and solar power output, conventional units and NPSI use reserve units to smooth out the random fluctuations of wind and solar power. The output of wind power and photovoltaic power under uncertain scenarios is modeled as an uncertainty set, as shown in the following formulas (16-1) to (16-4):

[0180]

[0181] in, α represents the wind power prediction error coefficient, and β represents the photovoltaic prediction error coefficient; and is the temporal and spatial uncertainty budget of the wind power uncertainty set, and is the temporal and spatial uncertainty budget of the PV uncertainty set.

[0182] S23. In view of the fact that the original min-max-min problem cannot be solved directly, the C&CG algorithm is generated by using columns and constraints to solve the objective function. The implementation process of the C&CG algorithm is as follows:

[0183] Since the objective function is a min-max-min problem, the C&CG algorithm is used to solve it and the following formula (17) is obtained:

[0184]

[0185] The goal of the pre-dispatch stage is to minimize the expected total cost, where Constraints under the base scenario are the constraints under the base scenario. The goal of the pre-dispatch stage is to minimize the expected total cost, including the start-up and shutdown constraints of conventional units, output constraints, and C&CG constraints returned in the sub-problems. The above formula (17) can be modified to the following formula (18):

[0186]

[0187] Among them, U wind and U pv are the budget uncertainty set constraints for wind power and photovoltaic power, respectively; U is the budget uncertainty set; and are 0-1 variables in the wind power and photovoltaic power budget uncertainty sets respectively.

[0188] The second stage is the rescheduling stage under the scenario of uncertain output of new energy. It is an operation problem under the scheduling decision given by the pre-scheduling. Since the inner part of formula (18) is a max-min problem, it cannot be solved directly. Therefore, the rescheduling stage needs to perform a dual transformation on the inner min problem in formula (18) and convert it into a max problem for solution, as shown in formula (19):

[0189] max u∈U,α,β,χ [α(A-Bσ-Cχ)+Dβ](19);

[0190] Where α, β and χ are the dual variables of the constraints, and A, B, C and D are the matrices corresponding to the corresponding constraints.

[0191] After the dual transformation, the objective function of the rescheduling phase is rewritten as formula (19). In order to further improve the solution accuracy, new variables are introduced, and C&CG cut set constraints are generated based on these variables. They are then added to the main problem for iterative solution to achieve more accurate decision-making and optimization, that is, the following formula (20):

[0192]

[0193] Among them, all C&CG cutplane obtainedsofar represents the cutting plane constraints generated in the solution process by dual transformation of subproblems when using the C&CG algorithm; k represents the number of iterations. The bilinear terms involved are cleverly linearized by the large M method. This step effectively transforms the subproblem into a solvable form, so that the subproblem containing 0-1 variables of different unit operations can be solved smoothly. Finally, by solving this subproblem, the worst scenario of new energy output in uncertain scenarios is determined. In the second stage, there are uncertain scenarios, so the C&CG algorithm is used to add the optimal cutting plane to the original problem, and the optimal solution in the worst scenario is finally obtained by continuously adding the optimal cutting plane.

[0194] In this embodiment, step S3 is specifically as follows:

[0195] S31. Construct a quantitative index of power supply reliability for NPSI joint operation power stations participating in system operation, and use the system load shedding penalty fee as the evaluation criterion for enhancing system power supply reliability. Formula (21) is the quantitative index of the value of enhancing system power supply reliability per MW installed capacity of NPSI:

[0196]

[0197] Among them, U is the reduction of load shedding penalty fee per MW installed nuclear power and pumped storage system, in $; N is the number of operation scenarios; P nu and P ps They are the installed capacities of nuclear power and pumped storage in the system, in MW. In the single-nuclear power operation mode, the installed capacity of pumped storage is 0.

[0198] S32. Construct the quantitative index of new energy consumption of NPSI joint operation power station participating in power system dispatch, and use the penalty fee of new energy abandonment in the system as the evaluation standard for promoting new energy consumption. Formula (22) is the quantitative index of the value of promoting new energy consumption per MW installed capacity of NPSI:

[0199]

[0200] Among them, C is the power consumption of new energy by installed nuclear power and pumped storage in MW, in MW.

[0201] S33. Construct the quantitative index of NPSI joint operation power station participating in the peak load support of power system dispatching system, and use the NPSI peak load cost and the matching degree between integrated units and load as the evaluation criteria for alleviating the peak load pressure of the system. Formula (23) is the quantitative index of the value of NPSI per MW installed capacity to alleviate the peak load pressure of the system:

[0202]

[0203] Among them, K is the reduction of peak load regulation cost per MW installed nuclear power and pumped storage, in $; F and F peak They are respectively the system peak-shaving costs when the nuclear storage part does not participate and the system peak-shaving costs when it participates.

[0204] That is, in order to meet the impact of the new power system when considering the high proportion of renewable energy grid connection, quantitative indicators are proposed for the NPSI joint robust optimization operation model on the basis of constructing the NPSI operation mode, aiming to analyze the impact of the NPSI joint robust optimization operation model on power system dispatch from different aspects under the premise of considering the uncertainty of renewable energy.

[0205] The method proposed in this embodiment uses the IEEE-24 standard node system to conduct a case test on the established NPSI joint robust optimization operation model, including four types of power supply layouts: thermal power, wind power, and photovoltaic power, and two types of energy device layouts: nuclear power and pumped storage. The specific installed capacity of each type of power supply and pumped storage is shown in Table 1. Combined with meteorological data, wind and solar output forecast data, and load demand forecast data, the power system collaborative optimization simulation operation calculation is carried out.

[0206] Table 1 System power installed capacity data

[0207] Power Type Installed capacity / MW Thermal Power 2063 Wind power 983 Photovoltaic 932 nuclear power 1000 Pumped Storage 400

[0208] The output of new energy is highly uncertain due to meteorological factors, and extreme weather has become a "new normal". With the dual factors, climate change and its meteorological problems are deeply involved in the shaping process of the new energy supply system, which will directly affect the safety and stability of the new power system. Therefore, based on the consideration of conventional typical scenarios, a dispatching example under extreme scenarios should be constructed.

[0209] From the perspective of energy consumption, the frequent occurrence of continuous high temperatures and cold waves in recent years will stimulate the continuous increase of cooling load and heating load; from the perspective of energy production, extreme weather will affect the normal operation of various power generation facilities and reduce the ability to ensure power supply. From a conventional perspective, there are obvious differences in user power consumption characteristics and new energy power supply characteristics on typical days in different seasons of spring, summer, autumn and winter. Therefore, this embodiment combines the k-mediods clustering method and the statistical analysis method, comprehensively considers the power load characteristics and the new energy output characteristics to construct a new power system NPSI application scenario, as shown in Table 2.

[0210] Table 2 NPSI application scenarios

[0211]

[0212]

[0213] The NPSI joint robust optimization operation model constructed in this paper was used to carry out numerical simulations in 7 application scenarios, and independent optimization scheduling strategies for single nuclear power and nuclear power pumped storage were set for comparative analysis. The penalty coefficients for wind and solar power abandonment and load shedding were formulated with reference to the literature. The simulation optimization scheduling results in various application scenarios are shown in the figure. Figure 3 shown.

[0214] like Figure 2 As shown in the figure, a typical autumn day is taken as a representative to characterize the operation under normal weather conditions in the four seasons. On a typical autumn day, wind power output fluctuates greatly, while photovoltaic output is relatively stable. Nuclear power output is stable, and pumped storage balances the fluctuation of wind power by storing energy when wind power output is low and releasing energy when wind power output is peak, thus maintaining the stable operation of the power system. During high temperatures, the output of photovoltaic and wind power fluctuates greatly during the day, and the load also fluctuates due to cooling needs. Nuclear power output is stable, and pumped storage needs to store energy when wind and solar resources are sufficient and release energy at peak loads to cope with load fluctuations caused by high temperatures. During typhoons, the output of wind power and photovoltaic power is significantly reduced, and the load is also reduced due to shutdowns. Nuclear power output is stable, and pumped storage needs to release energy when wind and solar resources are insufficient to maintain the stable operation of the power system.

[0215] As shown in Table 3, under the 7 types of NPSI application scenarios, the comprehensive economic benefits of the power system are better under the coordinated support of nuclear power and pumped storage. Combined with the details of the optimized dispatch of power output of the system layout NPSI system under the 7 types of application scenarios, it can be seen that on the basis of nuclear power as the core, it can meet the peak demand within a certain range. When the power system has a small power shortage / surplus, pumped storage responds quickly, meets the supply and demand balance of the power system through discharge or storage, and reduces the abandonment of new energy.

[0216] Table 3 Comparison of system scheduling costs in different scenarios $

[0217]

[0218]

[0219] Combining the system dispatch optimization results under nuclear power, independent nuclear storage, and NPSI development strategies in different scenarios, the operation support of the power system in different dimensions is analyzed under the coordinated operation of nuclear power and pumped storage and the independent operation of single nuclear power and nuclear storage.

[0220] (1) Enhance power supply reliability: Compare the system load shedding penalty costs of power systems dispatched under different installed capacity in 7 different application scenarios and the degree of reduction of system load shedding penalty costs per MW installed capacity. Figure 3 As shown in the figure, the system installation strategy is adjusted in each scenario, and the load shedding penalty cost of the power system optimization dispatch operation is NPSI layout < nuclear storage independence < single nuclear power. And in the NPSI mode, the NPSI unit bears an average system load shedding penalty of $2.998 per MW, and the system load shedding penalty cost per MW of nuclear power and pumped storage installed capacity under nuclear storage independent operation is $11.322. Under single nuclear power operation, the nuclear power unit bears a system load shedding penalty of $53.207 per MW. Comprehensive comparison shows that the system layout NPSI has better power supply reliability support capabilities than the layout of single nuclear power, and is better than the two added support effects of nuclear storage independent operation. It reflects the excellent power supply reliability support capabilities of pumped storage.

[0221] (2) Promote the consumption of new energy: Compare the penalty costs of abandoning new energy in the power system under different installation strategies and the degree of reduction in the amount of abandoned new energy per MW installed capacity in the power system under 7 scenarios. Figure 4 As shown in the figure, when the NPSI mode and nuclear storage are operated independently, the system can fully absorb wind and light resources in 7 NPSI application scenarios; when the system is deployed with a single nuclear power plant, the system has different amounts of wind and light resources abandoned in 7 scenarios. In the NPSI mode, the NPSI unit bears an average of $0.409 per MW for the system's new energy abandonment cost. Under the independent operation of nuclear storage, the system's new energy abandonment cost per MW of nuclear power and pumped storage installed capacity is $1.714. Under the operation of single nuclear power, the nuclear power unit bears $2.945 per MW for the system's new energy abandonment cost. In a comprehensive comparison, the province's power system optimization dispatching operation is mainly supported by pumped storage in promoting the consumption of clean energy, which has a better ability to promote the consumption of new energy. The reduction in the amount of new energy abandonment in the NPSI mode is lower than that in the independent operation of nuclear storage, because the system has achieved full absorption under both types of optimization dispatching strategies.

[0222] (3) Alleviate the peak load pressure of the power system: Compare the dispatching costs of the nuclear storage part of the power system and the reduction degree of the peak load cost of the system per MW installed capacity under 7 scenarios. Figure 5 As shown in the figure, the layout strategies of nuclear power and pumped storage are adjusted under 7 scenarios, and the peak-shaving costs of the system optimization scheduling operation are NPSI operation> nuclear storage independent operation> single nuclear power. Under the NPSI mode, the NPSI installed capacity reduces the system peak-shaving cost by $1.486 per MW on average. Under nuclear storage independent operation, the system peak-shaving cost is reduced by $0.871 per MW of nuclear power and pumped storage installed capacity. Under single nuclear power operation, the nuclear power unit reduces the system peak-shaving cost by $0.851 per MW. In comprehensive comparison, the NPSI mode has a better ability to alleviate the system peak-shaving pressure than single nuclear power operation, and is better than the two added support effects of nuclear storage independent operation, while the installed capacity of single nuclear power is relatively small and the unit conversion volume is large.

[0223] Please refer to Figure 6 , Embodiment 3 of the present invention is:

[0224] An AI-based product idea automatic generation terminal 1 includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, the steps of an AI-based product idea automatic generation method in the above-mentioned embodiment 1 or embodiment 2 are completed.

[0225] In summary, the present invention provides a nuclear-storage integrated NPSI joint robust operation and value quantification method and terminal, which effectively combines the operation of nuclear power and pumped storage to better meet the needs of the power system, while making up for the power gap with nuclear power and giving full play to the excellent auxiliary service characteristics of pumped storage, ensuring regional power supply stability, solving the problem of insufficient flexibility of nuclear power, and promoting the consumption of renewable energy in different scenarios.

[0226] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A nuclear power storage integrated NPSI joint robust operation and value quantification method, characterized in that: Includes steps: S1. Taking into account the operating characteristics of nuclear power and pumped storage, a nuclear-storage integrated NPSI joint operation model is established by setting multiple peak-shaving depths and considering the flexible complementarity of daily operating characteristics; S2. Considering the random uncertainty and load overload of new energy, taking into account the system peak load cost, optimizing the nuclear storage integrated NPSI joint operation model to obtain the NPSI joint robust optimization operation model; S3. Based on the NPSI joint robust optimization operation model, the system value quantitative indicators of NPSI operation under multiple scenarios are constructed, including comprehensive quantification of safety indicators, reliability indicators and economic indicators of NPSI participating in power system operation under typical days in different seasons and extreme scenarios.

2. The method for joint robust operation and value quantification of nuclear power storage integrated NPSI according to claim 1 is characterized in that: The step S1 is specifically as follows: S11. Establish a nuclear power operation model that takes into account multiple peak-shaving depths, and define the range of 50% to 100% of the rated power as the safe peak-shaving depth range of nuclear power. Set the relevant constraints for nuclear power peak-shaving within this range, including setting multiple levels of peak-shaving depth within the rated power range and allowing nuclear power units to achieve transition between low power and full power at three speeds between different peak-shaving depths, as shown in the following formulas (1) to (4): Among them, s nu is the peak-shaving depth of the nuclear power unit; n is the peak-shaving depth identifier, representing the peak-shaving depth at the nth level; and are the maximum and minimum outputs of nuclear power units respectively; and are the peak-shaving power and low-power stage power of the nuclear power unit at the nth level of peak-shaving depth; j is the peak-shaving speed identifier, 1 to 3 represent different peak-shaving speeds; is the power of the nuclear power unit in the transition state between high and low power; t represents the scheduling period; is the actual output of the nuclear power unit; q t , l n,t and d n,j,t They are the full power, low power and transition operation indicators at time t respectively; The power state constraint of the nuclear power unit is as follows: The minimum rated / low power operation time constraint is as follows: Among them, t N It is a timing number to distinguish it from t; and T l N The minimum duration of the full power and low power operation states respectively; and are all running identifiers. At this time, the constraint on the identifier is to set t N From t to or min((t+ T l N -1),24) to ensure the minimum rated / low power operation time of nuclear power, where 1 represents the 1h operation period and 24 is the total number of periods; Then the running sign coupling constraints are as follows: Among them, q t+1 and q t-1 Respectively represent the full power operation symbol of the period before / after period t; l n,t+1 and l n,t-1 Respectively represent the low power operation identifier of the period before / after period t; S12. Establish a pumped storage operation model with flexible switching of multiple operating conditions, and consider that the pumped storage operation mode is subject to the constraints of the operation cycle, the storage capacity constraints of the upper and lower reservoirs of the pumped storage, and the daily operation storage capacity constraints established based on the daily operation scenarios in the charge / discharge rights, as shown in the following formulas (9) to (14): in, and Respectively represent the lower and upper limits of the upper storage capacity; It represents the water storage capacity in the reservoir during period t; and They represent the state variables of power generation and water pumping during period t, taking values ​​of 0 or 1; and Respectively represent the power generation and pumping power during period t; η t and η p denote the power generation and pumping efficiency, respectively; and Respectively represent the lower limit and upper limit of the power generation; is a constant pumping power; S13, establish a nuclear-storage integrated NPSI joint operation model, and obtain the objective function and operation constraints of the nuclear-storage integrated NPSI joint operation model as follows: Among them, F int is the total operating cost of the NPSI combined operation power station, F nu is the operating cost of nuclear power units in NPSI joint operation power plants, F ps The operating costs of the pumped storage units in the power station for NPSI co-operation; and are the total output of the NPSI joint operation power station, the output of the nuclear power unit and the output of the pumped storage unit. When it is positive, it operates in power generation condition, and when it is negative, it operates in pumping condition.

3. The method for joint robust operation and value quantification of nuclear power storage integrated NPSI according to claim 1 is characterized in that: The step S2 is specifically as follows: S21. Considering the uncertainty of new energy output, a NPSI joint robust optimization operation model including nuclear power and pumped storage is constructed. The objective function is shown in formula (16): Among them, C all is the total target cost; C gen is the operating cost of conventional thermal power units; C int The operating cost of the NPSI joint operation power station; C wind is the operating cost of the wind farm; C pv is the operating cost of the photovoltaic power station; C D is the load shedding penalty cost; i is the node where different units are located; d is the node where the load is located; t is the scheduling period; the remaining parameters are decision variables: The output of the units in the power station jointly operated by NPSI; is the output of conventional thermal power units; I i,t It is the operating status identifier of the thermal power unit; is the wind power output level under uncertain scenarios; is the photovoltaic output level under uncertain scenarios; The abandoned power of wind power; is the abandoned power of photovoltaic; ΔD d,t is the load removal power; S22. Establish typical day operation constraints, including operation constraints under basic scenarios and operation constraints under uncertain scenarios; The operation constraints established under the basic scenario include node power balance constraints, line flow constraints, wind power plant output constraints, photovoltaic power station output constraints, conventional unit operation constraints, output constraints, backup constraints, minimum start / stop time constraints, ramp constraints, and NPSI operation and backup constraints; Establishing operation constraints under uncertain scenarios includes node power balance constraints, line flow restriction constraints, re-dispatch constraints of conventional units, NPSI flexible dispatch constraints, wind and solar uncertain output constraints, and photovoltaic uncertain output constraints; S23. Use the columns and constraints to generate a C&CG algorithm to solve the objective function. The implementation process of the C&CG algorithm is as follows: Based on the fact that the objective function is a min-max-min problem, the C&CG algorithm is used to solve it and the following formula (17) is obtained: Among them, Constraints under the base scenario refers to the constraints under the base scenario. The goal of the pre-dispatch stage is to minimize the expected total cost, including the start-up and shutdown constraints of conventional units, output constraints, and C&CG constraints returned in the sub-problem. The above formula (17) can be modified into the following formula (18): Among them, U wind and U pv are the budget uncertainty set constraints for wind power and photovoltaic power, respectively; U is the budget uncertainty set; and They are 0-1 variables in the uncertainty set of wind power and photovoltaic power budgets respectively; In the rescheduling phase, the inner min problem in formula (18) is transformed into a max problem for solution, as shown in formula (19): max u∈U,α,β,χ [α(A-Bσ-Cχ)+Dβ](19); Where α, β and χ are the dual variables of the constraints, and A, B, C and D are the matrices corresponding to the corresponding constraints; After the dual transformation, the objective function of the rescheduling phase is rewritten as formula (19), and then new variables are introduced to generate the C&CG cut set constraints as follows formula (20): Among them, all C&CG cutplane obtainedsofar means that when using the C&CG algorithm, the cutting plane constraints are generated in the solution process by performing dual transformation on the subproblems; k represents the number of iterations.

4. The method for joint robust operation and value quantification of nuclear power storage integrated NPSI according to claim 1 is characterized in that: The step S3 is specifically as follows: S31. Construct a quantitative index of power supply reliability for NPSI joint operation power stations participating in system operation, and use the system load shedding penalty fee as the evaluation criterion for enhancing system power supply reliability. Formula (21) is the quantitative index of the value of enhancing system power supply reliability per MW installed capacity of NPSI: Among them, U is the reduction of load shedding penalty fee per MW installed nuclear power and pumped storage system, in $; N is the number of operation scenarios; P nu and P ps They are the installed capacity of nuclear power and pumped storage in the system, in MW. In the single-nuclear power operation mode, the installed capacity of pumped storage is 0; S32. Construct the quantitative index of new energy consumption of NPSI joint operation power station participating in power system dispatch, and use the penalty fee of new energy abandonment in the system as the evaluation standard for promoting new energy consumption. Formula (22) is the quantitative index of the value of promoting new energy consumption per MW installed capacity of NPSI: Among them, C is the power consumption of new energy sources such as nuclear power and pumped storage in MW; S33. Construct the quantitative index of NPSI joint operation power station participating in the peak load support of power system dispatching system, and use the NPSI peak load cost and the matching degree between integrated units and load as the evaluation criteria for alleviating the peak load pressure of the system. Formula (23) is the quantitative index of the value of NPSI per MW installed capacity to alleviate the peak load pressure of the system: Among them, K is the reduction of peak load regulation cost per MW installed nuclear power and pumped storage, in $; F and F peak They are respectively the system peak-shaving costs when the nuclear storage part does not participate and the system peak-shaving costs when it participates.

5. The method for joint robust operation and value quantification of nuclear power storage integrated NPSI according to claim 1 is characterized in that: After step S3, the following steps are also included: S4. Using IEEE standard cases to perform simulations on typical days in different seasons and three extreme scenarios, the system value quantification index of NPSI operation in multiple scenarios constructed by the NPSI joint robust optimization operation model is analyzed.

6. A nuclear storage integrated NPSI joint robust operation and value quantification terminal, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: S1. Taking into account the operating characteristics of nuclear power and pumped storage, a nuclear-storage integrated NPSI joint operation model is established by setting multiple peak-shaving depths and considering the flexible complementarity of daily operating characteristics; S2. Considering the random uncertainty and load overload of new energy, taking into account the system peak load cost, optimizing the nuclear storage integrated NPSI joint operation model to obtain the NPSI joint robust optimization operation model; S3. Based on the NPSI joint robust optimization operation model, the system value quantitative indicators of NPSI operation under multiple scenarios are constructed, including comprehensive quantification of safety indicators, reliability indicators and economic indicators of NPSI participating in power system operation under typical days in different seasons and extreme scenarios.

7. The nuclear storage integrated NPSI joint robust operation and value quantification terminal according to claim 6 is characterized in that: The step S1 is specifically as follows: S11. Establish a nuclear power operation model that takes into account multiple peak-shaving depths, and define the range of 50% to 100% of the rated power as the safe peak-shaving depth range of nuclear power. Set the relevant constraints for nuclear power peak-shaving within this range, including setting multiple levels of peak-shaving depth within the rated power range and allowing nuclear power units to achieve transition between low power and full power at three speeds between different peak-shaving depths, as shown in the following formulas (1) to (4): Among them, s nu is the peak-shaving depth of the nuclear power unit; n is the peak-shaving depth identifier, representing the peak-shaving depth at the nth level; and are the maximum and minimum outputs of nuclear power units respectively; and are the peak-shaving power and low-power stage power of the nuclear power unit at the nth level of peak-shaving depth; j is the peak-shaving speed identifier, 1 to 3 represent different peak-shaving speeds; is the power of the nuclear power unit in the transition state between high and low power; t represents the scheduling period; is the actual output of the nuclear power unit; q t , l n,t and d n,j,t They are the full power, low power and transition operation indicators at time t respectively; The power state constraint of the nuclear power unit is as follows: The minimum rated / low power operation time constraint is as follows: Among them, t N It is a timing number to distinguish it from t; and T l N The minimum duration of the full power and low power operation states respectively; and are all running identifiers. At this time, the constraint on the identifier is to set t N From t to or min((t+ T l N -1),24) to ensure the minimum rated / low power operation time of nuclear power, where 1 represents the 1h operation period and 24 is the total number of periods; Then the running sign coupling constraints are as follows: Among them, q t+1 and q t-1 Respectively represent the full power operation symbol of the period before / after period t; l n,t+1 and l n,t-1 Respectively represent the low power operation identifier of the period before / after period t; S12. Establish a pumped storage operation model with flexible switching of multiple operating conditions, and consider that the pumped storage operation mode is subject to the constraints of the operation cycle, the storage capacity constraints of the upper and lower reservoirs of the pumped storage, and the daily operation storage capacity constraints established based on the daily operation scenarios in the charge / discharge rights, as shown in the following formulas (9) to (14): in, and Respectively represent the lower and upper limits of the upper storage capacity; It represents the water storage capacity in the reservoir during period t; and They represent the state variables of power generation and water pumping during period t, taking values ​​of 0 or 1; and Respectively represent the power generation and pumping power during period t; η t and η p denote the power generation and pumping efficiency, respectively; and Respectively represent the lower limit and upper limit of the power generation; is a constant pumping power; S13, establish a nuclear-storage integrated NPSI joint operation model, and obtain the objective function and operation constraints of the nuclear-storage integrated NPSI joint operation model as follows: Among them, F int is the total operating cost of the NPSI combined operation power station, F nu is the operating cost of nuclear power units in NPSI joint operation power plants, F ps The operating costs of the pumped storage units in the power station for NPSI co-operation; and are the total output of the NPSI joint operation power station, the output of the nuclear power unit and the output of the pumped storage unit. When it is positive, it operates in power generation condition, and when it is negative, it operates in pumping condition.

8. The nuclear power storage integrated NPSI joint robust operation and value quantification terminal according to claim 6 is characterized in that: The step S2 is specifically as follows: S21. Considering the uncertainty of new energy output, a NPSI joint robust optimization operation model including nuclear power and pumped storage is constructed. The objective function is shown in formula (16): Among them, C all is the total target cost; C gen is the operating cost of conventional thermal power units; C int The operating cost of the NPSI joint operation power station; C wind is the operating cost of the wind farm; C pv is the operating cost of the photovoltaic power station; C D is the load shedding penalty cost; i is the node where different units are located; d is the node where the load is located; t is the scheduling period; the remaining parameters are decision variables: The output of the units in the power station jointly operated by NPSI; is the output of conventional thermal power units; I i,t It is the operating status identifier of the thermal power unit; is the wind power output level under uncertain scenarios; is the photovoltaic output level under uncertain scenarios; The abandoned power of wind power; is the abandoned power of photovoltaic; ΔD d,t is the load removal power; S22. Establish typical day operation constraints, including operation constraints under basic scenarios and operation constraints under uncertain scenarios; The operation constraints established under the basic scenario include node power balance constraints, line flow constraints, wind power plant output constraints, photovoltaic power station output constraints, conventional unit operation constraints, output constraints, backup constraints, minimum start / stop time constraints, ramp constraints, and NPSI operation and backup constraints; Establishing operation constraints under uncertain scenarios includes node power balance constraints, line flow restriction constraints, re-dispatch constraints of conventional units, NPSI flexible dispatch constraints, wind and solar uncertain output constraints, and photovoltaic uncertain output constraints; S23. Use the columns and constraints to generate a C&CG algorithm to solve the objective function. The implementation process of the C&CG algorithm is as follows: Based on the fact that the objective function is a min-max-min problem, the C&CG algorithm is used to solve it and the following formula (17) is obtained: Among them, Constraints under the base scenario refers to the constraints under the base scenario. The goal of the pre-dispatch stage is to minimize the expected total cost, including the start-up and shutdown constraints of conventional units, output constraints, and C&CG constraints returned in the sub-problem. The above formula (17) can be modified into the following formula (18): Among them, U wind and U pv are the budget uncertainty set constraints for wind power and photovoltaic power, respectively; U is the budget uncertainty set; and They are 0-1 variables in the uncertainty set of wind power and photovoltaic power budgets respectively; In the rescheduling phase, the inner min problem in formula (18) is transformed into a max problem for solution, as shown in formula (19): max u∈U,α,β,χ [α(A-Bσ-Cχ)+Dβ](19); Where α, β and χ are the dual variables of the constraints, and A, B, C and D are the matrices corresponding to the corresponding constraints; After the dual transformation, the objective function of the rescheduling phase is rewritten as formula (19), and then new variables are introduced to generate the C&CG cut set constraints as follows formula (20): Among them, allC&CG cutplane obtainedsofar represents the cutting plane constraints generated in the solution process by performing dual transformation on the subproblems when using the C&CG algorithm; k represents the number of iterations.

9. The nuclear power storage integrated NPSI joint robust operation and value quantification terminal according to claim 6 is characterized in that: The step S3 is specifically as follows: S31. Construct a quantitative index of power supply reliability for NPSI joint operation power stations participating in system operation, and use the system load shedding penalty fee as the evaluation criterion for enhancing system power supply reliability. Formula (21) is the quantitative index of the value of enhancing system power supply reliability per MW installed capacity of NPSI: Among them, U is the reduction of load shedding penalty fee per MW installed nuclear power and pumped storage system, in $; N is the number of operation scenarios; P nu and P ps They are the installed capacity of nuclear power and pumped storage in the system, in MW. In the single-nuclear power operation mode, the installed capacity of pumped storage is 0; S32. Construct the quantitative index of new energy consumption of NPSI joint operation power station participating in power system dispatch, and use the penalty fee of new energy abandonment in the system as the evaluation standard for promoting new energy consumption. Formula (22) is the quantitative index of the value of promoting new energy consumption per MW installed capacity of NPSI: Among them, C is the power consumption of new energy sources such as nuclear power and pumped storage in MW; S33. Construct the quantitative index of NPSI joint operation power station participating in the peak load support of power system dispatching system, and use the NPSI peak load cost and the matching degree between integrated units and load as the evaluation criteria for alleviating the peak load pressure of the system. Formula (23) is the quantitative index of the value of NPSI per MW installed capacity to alleviate the peak load pressure of the system: Among them, K is the reduction of peak load regulation cost per MW installed nuclear power and pumped storage, in $; F and F peak They are respectively the system peak-shaving costs when the nuclear storage part does not participate and the system peak-shaving costs when it participates.

10. The nuclear power storage integrated NPSI joint robust operation and value quantification terminal according to claim 6, characterized in that: After step S3, the following steps are also included: S4. Using IEEE standard cases to perform simulations on typical days in different seasons and three extreme scenarios, the system value quantification index of NPSI operation in multiple scenarios constructed by the NPSI joint robust optimization operation model is analyzed.

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