A new energy consumption guarantee scheme optimization method and system

Abstract

The present invention discloses a method and system for optimizing a new energy consumption guarantee scheme, the method comprising: based on the original consumption result, selecting and constructing a combination scheme of consumption guarantee measures from a variety of consumption guarantee measures in four links of source, network, load and storage in order of priority; calculating the transformation cost and operation cost of the combination scheme of consumption guarantee measures, and constructing an optimization model including an objective function and constraint conditions with the goal of minimizing the annual comprehensive cost increment of the power system; according to the optimization model, obtaining a combination method of new energy consumption guarantee measures that minimizes the annual comprehensive cost increment of the power system. It is possible to quickly lock in a combination of consumption guarantee measures that are effective and workable among many consumption guarantee means, and finally obtain a combination scheme of guarantee measures with the best economic efficiency.

Description

Technical Field

[0001] The present invention relates to the field of new energy consumption technology, and in particular to a new energy consumption guarantee scheme optimization method and system. Background Art

[0002] After nearly a decade of efforts, my country's new energy development has been at the forefront of the world. While my country's new energy development has achieved an absolute advantage in "quantity", the "quality" of new energy development is not satisfactory. While the scale of development continues to expand, it has caused the problem of limited new energy consumption capacity, resulting in serious wind and solar power abandonment. The problem of new energy consumption has become a focus of widespread social attention.

[0003] In recent years, academic research on new energy consumption has focused on consumption models, optimization of factors affecting consumption, and analysis of the contribution of factors affecting consumption. However, new energy consumption is a systematic project. Improving the consumption capacity requires coordinated efforts from all links of "source, grid, load, and storage". Starting from the links of "source, grid, load, and storage", there can be a variety of combinations of new energy consumption guarantee plans. However, the difficulty and effect of different consumption guarantee plans are not the same. The overall system cost of the power system for absorbing new energy is also gradually increasing. Therefore, it is urgent to carry out research on the optimization of new energy consumption guarantee measures and attach importance to the decisive role of cost in formulating consumption guarantee plans. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for optimizing a new energy consumption guarantee plan, aiming to solve the problem of high system cost for absorbing the above-mentioned new energy.

[0005] The present invention provides a method for optimizing a new energy consumption guarantee scheme, comprising:

[0006] Step S1, based on the original consumption result, select and construct a combination of consumption guarantee measures from a variety of consumption guarantee measures in the four links of source, grid, load and storage in order of priority;

[0007] Step S2, calculating the transformation cost and operation cost of the combined solution of the absorption safeguard measures, and constructing an optimization model including an objective function and constraint conditions with the goal of minimizing the annual comprehensive cost increment of the power system;

[0008] Step S3, based on the optimization model, obtain a combination method of new energy consumption guarantee measures that minimizes the annual comprehensive cost increment of the power system.

[0009] The present invention provides a new energy consumption guarantee measure optimization system, comprising:

[0010] Scheme selection module: Based on the original consumption results, select and construct a combination of consumption guarantee measures from a variety of consumption guarantee measures in the four links of source, grid, load and storage in order of priority;

[0011] Model building module: Calculate the transformation cost and operation cost of the combination of the absorption protection measures, and build an optimization model including objective functions and constraints with the goal of minimizing the annual comprehensive cost increment of the power system;

[0012] Scheme optimization module: Based on the optimization model, a combination of new energy consumption guarantee measures that minimizes the annual comprehensive cost increase of the power system is obtained.

[0013] By adopting the embodiments of the present invention, it is possible to quickly identify a combination of consumption guarantee measures that are effective and workable among numerous consumption guarantee measures, and ultimately obtain a combination of guarantee measures with the best economic efficiency.

[0014] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 is a flow chart of a method for optimizing a new energy consumption guarantee scheme according to an embodiment of the present invention;

[0017] Figure 2 is a flow chart for selecting new energy consumption guarantee measures according to an embodiment of the present invention;

[0018] Figure 3 It is a schematic diagram of a new energy consumption guarantee scheme optimization system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0021] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] Method Embodiment

[0023] According to an embodiment of the present invention, a method for optimizing a new energy consumption guarantee scheme is provided. Figure 1 is a flow chart of a method for optimizing a new energy consumption guarantee scheme according to an embodiment of the present invention. Figure 1 As shown, the method for optimizing the new energy consumption guarantee scheme according to an embodiment of the present invention specifically includes:

[0024] S1. Based on the original consumption results, select and construct a combination of consumption guarantee measures from the various consumption guarantee measures in the four links of source, grid, load and storage in order of priority.

[0025] The priority order of selecting various absorption guarantee measures is from front to back: spatial support and mutual assistance of absorption capacity, tapping into existing absorption capacity, and creating incremental absorption capacity.

[0026] Figure 2 is a flow chart for selecting the new energy consumption guarantee measures of an embodiment of the present invention, such as Figure 2As shown in the figure, for multi-region systems, the layout of new energy sources should be arranged according to the acceptance capacity of different zones, and the utilization levels of different zones should be compared first. If the utilization rate of zone A is less than 95% and less than the utilization rate of zone B, the layout of new energy sources between zones should be adjusted or the channel capacity between zones should be increased. If it is not satisfied, the regulation potential of the existing flexibility resources in the system should be explored. If the minimum technical output of thermal power has not yet met the flexibility transformation requirements, the flexibility transformation of thermal power can be carried out to reduce the minimum technical output. If it has been met, the user-side demand response resources should be called to fill the valley, and a demand response valley filling mechanism should be established to explore the valley filling potential. If the minimum technical output of thermal power has met the flexibility transformation requirements and the demand response has been called, it means that the system's existing flexibility resources can be used up to absorb the energy, and new absorption capacity needs to be created, including adding new energy storage, increasing external transmission, reducing the scale of new energy, and increasing the scale of load.

[0027] S2. Calculate the transformation cost and operating cost of the combination of absorption protection measures, and construct an optimization model including objective functions and constraints with the goal of minimizing the annual comprehensive cost increase of the power system.

[0028] When the type of safeguard measures is selected, in order to meet the utilization target, there may be multiple combination schemes with different degrees of application of various safeguard measures, such as more energy storage + appropriate transformation of thermal power flexibility and less energy storage + deep transformation of thermal power flexibility. The investment and transformation costs required for different schemes are different, and the incremental operating costs in actual operation after the measures are implemented are also different.

[0029] The investment transformation costs include: thermal power flexibility transformation cost K F , New energy storage investment cost K S and demand response transformation cost K D ;

[0030] The transformation cost of the combined solution of consumption protection measures includes:

[0031] Calculate the thermal power flexibility transformation cost K according to formula 1, formula 2 and formula 3 F , New energy storage investment cost K S and demand response transformation cost K D Equivalent annual value of investment:

[0032]

[0033]

[0034]

[0035] Among them, I F ,I S ,I DA is a variable of 0 and 1, which respectively indicates whether to select the thermal power flexibility transformation measures, the additional energy storage measures and the demand response transformation measures. 0 represents no selection and 1 represents selection. F , A S , A D are the unit thermal power flexibility transformation cost, unit energy storage investment cost and unit demand-side response transformation cost respectively; F , O S , O D are the thermal power flexibility transformation capacity, energy storage investment capacity and demand-side response transformation capacity respectively; γ is the benchmark rate of return; n F 、n S 、n D The years for calculating capital recovery for thermal power flexibility transformation, investment in energy storage and demand response transformation are respectively.

[0036] The operating costs in actual operation include: thermal power operating costs, energy storage operating costs and demand response operating costs; the thermal power operating costs include: fuel costs and start-stop costs, the energy storage operating costs include: charging and discharging costs, and the demand response operating costs are mainly subsidy costs;

[0037] The operation cost of the combined solution of the above mentioned absorption safeguard measures is calculated as follows:

[0038] Calculate the thermal power operation cost according to Formula 4, Formula 5 and Formula 6 Energy storage operating costs and demand response operating costs

[0039]

[0040]

[0041]

[0042] in, ΔP t D They are the incremental values ​​of thermal power output, energy storage power absolute value and demand response power in period t after the measures compared with those before the measures; is the incremental value of the startup cost of thermal power unit i in period t after the measure compared with that before the measure; a i , b i is the cost coefficient of thermal power unit i; N F is the number of thermal power units; α S , α D are the energy storage and demand response cost coefficients, respectively.

[0043] Constructing the objective function specifically includes:

[0044] According to Formula 7, an objective function is constructed with the goal of minimizing the annual comprehensive cost increment of the power system, including transformation cost and operation cost:

[0045]

[0046] Among them, ΔF is the annual comprehensive cost increment of the power system; K F The cost of thermal power flexibility transformation; K S K is the cost of new energy storage transformation; D the cost of retrofitting for demand response; The incremental value of thermal power operation cost in period t after the measures are taken compared with that before the measures; The incremental value of the energy storage operation cost in period t after the measure is taken compared with that before the measure; is the incremental value of the demand response operating cost in period t after the measure compared with that before the measure; T is the total number of operation simulation periods.

[0047] The constraints include: new energy layout adjustment constraints, new energy utilization rate target constraints, power balance constraints in each period of the operation simulation cycle, system reserve constraints, thermal power output constraints and ramp constraints, thermal power reserve constraints, thermal power startup cost constraints, thermal power minimum start-up and shutdown time constraints, battery energy storage power balance constraints, battery energy storage output and reserve constraints and demand response capacity constraints.

[0048] Specific:

[0049] The adjustment of new energy layout needs to meet the upper limit constraint of power generation resources, as shown in Formula 8:

[0050]

[0051] in, and They are the wind power and solar power installed capacity in region j after the adjustment of new energy layout; and They are the upper limits of regional wind power and solar power installed capacity resources respectively.

[0052] The target constraint of new energy utilization rate is shown in Formula 9:

[0053]

[0054] Among them, E W 、E SO are the theoretical power of wind power and solar power generation during the operation simulation cycle respectively; are the actual grid-connected power of wind power and solar power generation during period t; N W 、N SO are the number of wind and solar power plants, respectively.

[0055] The power balance constraints for each period during the operation simulation cycle are shown in formula 10:

[0056]

[0057] in, P t S,0 , P t D,0 are the output of thermal power unit i, energy storage output and demand response power in period t in the original operation simulation scheme, P t S,0 Positive value represents charging, negative value represents discharging; L t It is the sum of local load and external load in period t.

[0058] The system reserve constraint is shown in formula 11:

[0059]

[0060] in, is the spare capacity that thermal power unit i can provide during period t; is the backup capacity that energy storage can provide during period t; S is the backup capacity required by the system, including accident backup, load backup and new energy backup.

[0061] The thermal power output constraint and ramp constraint are shown in Formula 12(a) and Formula 12(b):

[0062]

[0063]

[0064] Among them, U i,t is the start and stop status of unit i during period t, 1 indicates start, 0 indicates stop; and P i are the upper and lower limits of active output of unit i; r i + and r i - are the up and down ramp rates of unit i per hour respectively.

[0065] The thermal power reserve constraint is shown in formula 13:

[0066]

[0067] Wherein, τ is the thermal power standby response time, which is 10 minutes in this embodiment.

[0068] The constraints on thermal power startup costs are shown in Formula 14(a) and Formula 14(b):

[0069]

[0070]

[0071] in, is the startup cost of thermal power unit i during period t, is the startup cost of unit i.

[0072] The minimum start-up and shutdown time constraints of thermal power are shown in Formula 15(a) and Formula 15(b):

[0073]

[0074]

[0075] Among them, T i on and T i off are the minimum start and stop duration of unit i respectively.

[0076] The battery energy storage power balance constraints are shown in Equation 16(a), Equation 16(b) and Equation 16(c):

[0077]

[0078] E T =E0 Formula 16(b);

[0079]

[0080] Among them, E t The battery energy storage stores the power value in the period t; and is a 0-1 variable, satisfying It is the charging flag. When the value is 1, it is charging. Is the discharge flag, discharge when the value is 1; η c and η d are the charging and discharging efficiencies of battery energy storage, respectively; Δt is the step length of the time period; and E are the rated energy capacity and the lower limit of the stored power of the battery energy storage respectively; and are the stored power values ​​of the battery energy storage at the beginning and end of the scheduling period respectively.

[0081] The battery energy storage output and backup constraints are shown in Formula 17(a) and Formula 17(b). This embodiment assumes that the battery energy storage provides backup without changing its charging and discharging state:

[0082]

[0083]

[0084] in, It is the rated power capacity of the battery energy storage.

[0085] The demand response capacity constraint is shown in Formula 18:

[0086]

[0087] Among them, P t D,0 is the demand response capacity during period t in the original operation simulation scheme; The upper limit of valley filling capacity for demand response.

[0088] S3. Based on the optimization model, a combination method of new energy consumption guarantee measures that minimizes the annual comprehensive cost increase of the power system is obtained.

[0089] This embodiment constructs a calculation example system with 2025 as the horizontal year and performs calculation and analysis. At present, the power grid is divided into three regions, A, B, and C. There are two transmission sections between regions A and B and between regions B and C. The transmission capacity between the sections is 6.6 million and 3.3 million kilowatts respectively. In terms of the total power supply and demand and structure, the maximum load of the power grid is 48 million kilowatts, the installed capacity of coal-fired power, gas-fired power, biomass power generation, conventional hydropower, and pumped storage is 81 million kilowatts, the installed capacity of wind power and solar power generation is 59 million kilowatts, and the external power transmission capacity is 31 million kilowatts. In terms of layout, the load center is located in region C, and the new energy resource-rich areas are regions A and B. The load of the power grid is inversely distributed with wind and solar resources. The benchmark rate of return is 8%, and the calculation period of coal-fired power flexibility transformation and new energy storage is 15 years and 10 years respectively.

[0090] The absorption scheme without measures is named as Scheme 1, and the scheme with absorption measures obtained according to the method proposed in this paper is named as Scheme 2. At the same time, other absorption measures are combined to construct Schemes 3 and 4.

[0091] The consumption results of Scheme 1 and the minimum technical output of coal-fired power are shown in Table 1.

[0092] Table 1

[0093]

[0094] As shown in Table 1, the utilization rate of new energy in region A is less than 95% less than region B and less than region C, and the scale of new energy in region B has not reached the resource limit; the minimum technical output of coal-fired power in each region is 0.5, which has not yet met the requirements for the flexibility transformation of thermal power. According to the selection method of consumption guarantee measures proposed in step S1, the combination of consumption measures to be selected in this scheme should be to transfer part of the new energy in region A to region B, reduce the minimum technical output of coal-fired power and increase energy storage in order of priority. This combination is input into the consumption measure quantitative model proposed in step S2 of B, and scheme 2 can be obtained; at the same time, the combination of consumption measures in scheme 3 is set to the flexibility transformation of coal-fired power plus the configuration of energy storage; scheme 4 is set to only configure energy storage.

[0095] The quantitative results of the measures of the three schemes are shown in Table 2, capacity unit: 10,000 kilowatts:

[0096] Table 2

[0097]

[0098] As shown in Table 2, the utilization rate of new energy in the three schemes all meet the assessment target of 95%. Compared with Scheme 2, Scheme 3 requires an additional 600,000 kilowatts of energy storage due to the lack of measures to adjust the layout; Scheme 4 requires an additional 3 million kilowatts of energy storage due to the lack of measures to adjust the layout and flexibility transformation.

[0099] The economic comparison of the three schemes is shown in Table 3, unit: 100 million yuan:

[0100] Table 3

[0101]

[0102] As shown in Table 3, Scheme 4 does not have any cost for coal-fired power flexibility transformation compared to Schemes 2 and 3. However, as the scale of new energy storage increases, the energy storage investment costs of Schemes 3 and 4 reach 1.6 times and 4 times that of Scheme 2, respectively, and the energy storage investment cost of Scheme 4 is even higher than the coal-fired power flexibility transformation cost of Schemes 2 and 3; accordingly, the incremental energy storage operating costs of Schemes 3 and 4 are also greater than those of Scheme 2. Affected by the reduction in the minimum technical output of coal-fired power and the reduction in coal-fired power startup due to the addition of energy storage, the coal-fired power generation of the three schemes is lower than that of Scheme 1, so the incremental coal-fired power operation costs are all negative; and, since Scheme 2 has the smallest energy storage scale, coal-fired power needs to give up more power generation space to new energy, so Scheme 2 has the least coal-fired power generation, and the incremental coal-fired power operation costs decrease accordingly.

[0103] Since the change in energy storage investment cost under the three schemes plays a dominant role in the total cost, Scheme 2 has the lowest total cost, and the total costs of Schemes 3 and 4 are 24.9% and 25.8% higher than that of Scheme 2, respectively.

[0104] By adopting the embodiment of the present invention, the optimization of new energy consumption guarantee measures is divided into two steps: combination selection of guarantee measures and quantitative analysis. Based on the original consumption result, the guarantee measures are selected according to the priority, so that the effective and effective combination of consumption guarantee measures can be quickly locked in among many consumption guarantee means; the transformation cost and operation cost of the guarantee measure combination scheme are quantitatively analyzed, so as to obtain the most economical guarantee measure combination scheme.

[0105] System Example

[0106] According to an embodiment of the present invention, a new energy consumption guarantee measure optimization system is provided. Figure 3 Schematic diagram of a new energy consumption guarantee measure optimization system according to an embodiment of the present invention. Figure 3 As shown, the new energy consumption guarantee measure optimization system according to the embodiment of the present invention specifically includes:

[0107] Scheme selection module 30: Based on the original consumption results, a combination scheme of consumption guarantee measures is selected and constructed from a variety of consumption guarantee measures in the four links of source, grid, load and storage in order of priority;

[0108] The scheme selection module 30 is specifically used to select and combine consumption guarantee measures in sequence according to the priority order of spatial support and mutual assistance of consumption capacity, tapping into existing consumption capacity, and creating incremental consumption capacity, so as to obtain a combination scheme of consumption guarantee measures.

[0109] Model building module 32: Calculate the transformation cost and operation cost of the combination of the absorption safeguard measures, and build an optimization model including an objective function and constraint conditions with the goal of minimizing the annual comprehensive cost increment of the power system;

[0110] The model building module 32 is specifically used to calculate the transformation cost and operating cost according to the combination of absorption guarantee measures selected by the scheme selection module 30, and take the minimization of the annual comprehensive cost increment of the power system as the objective function, and construct an optimization model with new energy layout adjustment constraints, new energy utilization rate target constraints, power balance constraints in each period of the operation simulation cycle, system backup constraints, thermal power output constraints and climbing constraints, thermal power backup constraints, thermal power startup cost constraints, thermal power minimum start-up and shutdown time constraints, battery energy storage power balance constraints, battery energy storage output and backup constraints and demand response capacity constraints as constraints.

[0111] Scheme optimization module 34: Based on the optimization model, a combination scheme of new energy consumption guarantee measures that minimizes the annual comprehensive cost increase of the power system is obtained.

[0112] The embodiment of the present invention is a system embodiment corresponding to the above-mentioned method embodiment. The specific operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here.

[0113] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing a new energy consumption guarantee scheme, characterized in that: include: Step S1, based on the original consumption result, select and construct a combination of consumption guarantee measures from a variety of consumption guarantee measures in the four links of source, grid, load and storage in order of priority; the priority order of the various consumption guarantee measures is from front to back: spatial support and mutual assistance of consumption capacity, tapping into existing consumption capacity, and creating incremental consumption capacity; Step S2, calculating the transformation cost and operation cost of the combined solution of the absorption safeguard measures, and constructing an optimization model including an objective function and constraint conditions with the goal of minimizing the annual comprehensive cost increment of the power system; The operating costs include: thermal power operating costs, energy storage operating costs and demand response operating costs; the thermal power operating costs include: fuel costs and start-stop costs, the energy storage operating costs include: charging and discharging costs, and the demand response operating costs are mainly subsidy costs; The operation cost of the combined solution of the above mentioned absorption safeguard measures is calculated as follows: Calculate the thermal power operation cost according to Formula 4, Formula 5 and Formula 6 Energy storage operating costs and demand response operating costs in, They are the incremental values ​​of thermal power output, energy storage power absolute value and demand response power in period t after the measures compared with those before the measures; is the incremental value of the startup cost of thermal power unit i in period t after the measure compared with that before the measure; a i , b i is the cost coefficient of thermal power unit i; N F is the number of thermal power units; α S , α D are the energy storage and demand response cost coefficients, respectively; According to Formula 7, an objective function is constructed with the goal of minimizing the annual comprehensive cost increment of the power system, including transformation cost and operation cost: Among them, ΔF is the annual comprehensive cost increment of the power system; K F The cost of thermal power flexibility transformation; K S K is the cost of new energy storage transformation; D the cost of retrofitting for demand response; The incremental value of thermal power operation cost in period t after the measures are taken compared with that before the measures; The incremental value of the energy storage operation cost in period t after the measure is taken compared with that before the measure; is the incremental value of the demand response operation cost in period t after the measure compared with that before the measure; T is the total number of operation simulation periods; Step S3, based on the optimization model, obtain a combination method of new energy consumption guarantee measures that minimizes the annual comprehensive cost increment of the power system.

2. The method according to claim 1, characterized in that: The transformation cost includes: thermal power flexibility transformation cost K F , New energy storage investment cost K S and demand response transformation cost K D , The transformation cost of the combination of the above mentioned absorption protection measures is calculated as follows: Calculate the thermal power flexibility transformation cost K according to formula 1, formula 2 and formula 3 F , New energy storage investment cost K S and demand response transformation cost K D : Among them, I F ,I S ,I D A is a variable of 0 and 1, which respectively indicates whether to select the thermal power flexibility transformation measures, the additional energy storage measures and the demand response transformation measures. 0 represents no selection and 1 represents selection. F , A S , A D are the unit thermal power flexibility transformation cost, unit energy storage investment cost and unit demand-side response transformation cost respectively; F , O S , O D are the thermal power flexibility transformation capacity, energy storage investment capacity and demand-side response transformation capacity respectively; γ is the benchmark rate of return; n F 、n S 、n D The years for calculating capital recovery for thermal power flexibility transformation, investment in energy storage and demand response transformation are respectively.

3. The method according to claim 1, characterized in that The constraints described in step S2 include: new energy layout adjustment constraints, new energy utilization target constraints, power balance constraints in each period of the operation simulation cycle, system reserve constraints, thermal power output constraints and climbing constraints, thermal power reserve constraints, thermal power startup cost constraints, thermal power minimum start-up and shutdown time constraints, battery energy storage power balance constraints, battery energy storage output and reserve constraints and demand response capacity constraints.

4. A new energy consumption guarantee measure optimization system, characterized in that: include: Scheme selection module: Based on the original consumption results, a combination scheme of consumption guarantee measures is selected and constructed from a variety of consumption guarantee measures in the four links of source, grid, load and storage in order of priority; the priority order of the various consumption guarantee measures is from front to back: spatial support and mutual assistance of consumption capacity, tapping into existing consumption capacity, and creating incremental consumption capacity; Model building module: Calculate the transformation cost and operation cost of the combination of the absorption protection measures, and build an optimization model including objective functions and constraints with the goal of minimizing the annual comprehensive cost increment of the power system; The operating costs include: thermal power operating costs, energy storage operating costs and demand response operating costs; the thermal power operating costs include: fuel costs and start-stop costs, the energy storage operating costs include: charging and discharging costs, and the demand response operating costs are mainly subsidy costs; The operation cost of the combined solution of the above mentioned absorption safeguard measures is calculated as follows: Calculate the thermal power operation cost according to Formula 4, Formula 5 and Formula 6 Energy storage operating costs and demand response operating costs in, They are the incremental values ​​of thermal power output, energy storage power absolute value and demand response power in period t after the measures compared with those before the measures; is the incremental value of the startup cost of thermal power unit i in period t after the measure compared with that before the measure; a i , b i is the cost coefficient of thermal power unit i; N F is the number of thermal power units; α S , α D are the energy storage and demand response cost coefficients, respectively; According to Formula 7, an objective function is constructed with the goal of minimizing the annual comprehensive cost increment of the power system, including transformation cost and operation cost: Among them, ΔF is the annual comprehensive cost increment of the power system; K F The cost of thermal power flexibility transformation; K S K is the cost of new energy storage transformation; D the cost of retrofitting for demand response; The incremental value of thermal power operation cost in period t after the measures are taken compared with that before the measures; The incremental value of the energy storage operation cost in period t after the measure is taken compared with that before the measure; is the incremental value of the demand response operation cost in period t after the measure compared with that before the measure; T is the total number of operation simulation periods; Scheme optimization module: Based on the optimization model, a combination of new energy consumption guarantee measures that minimizes the annual comprehensive cost increase of the power system is obtained.

5. The system according to claim 4, characterized in that The scheme selection module is specifically used to select and combine consumption guarantee measures in sequence according to the priority order of spatial support and mutual assistance of consumption capacity, tapping into existing consumption capacity, and creating incremental consumption capacity, so as to obtain the consumption guarantee measure combination scheme.

6. The system according to claim 4, characterized in that The model building module is specifically used to calculate the transformation cost and the operating cost according to the combination of consumption guarantee measures selected by the scheme selection module, and to take the minimization of the annual comprehensive cost increment of the power system as the objective function, and to construct an optimization model with the constraints of new energy layout adjustment, new energy utilization target constraint, power balance constraint in each period during the operation simulation cycle, system reserve constraint, thermal power output constraint and ramp constraint, thermal power reserve constraint, thermal power startup cost constraint, thermal power minimum start-up and shutdown time constraint, battery energy storage power balance constraint, battery energy storage output and reserve constraint and demand response capacity constraint as constraints.

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