Electric heat storage calling method in electric power spot market environment

Abstract

The invention belongs to the field of electric power markets, and particularly relates to an electric heat storage calling method based on an electric power spot market operation environment when new energy cannot be completely consumed. Comprising the steps of reporting a current market electric heat storage electricity utilization capacity curve, clearing and judging whether a system abandons energy without considering the section constraint, clearing a unit combination, a unit output curve and node electricity price by considering the section constraint, distributing and dispatching electric heat storage, optimizing the actual input amount of the electric heat storage and the like. According to the method, an organization and calling method strategy for putting electric heat storage into consideration when new energy still cannot be completely consumed and a downward peak regulation gap exists after all adjustment resources of the system are used up is put forward, and meanwhile, the profit mode of the electric heat storage in a spot market environment is elaborated. By establishing a reasonable electric heat storage calling strategy, in an electric power spot market environment, rapid development of new energy can be effectively dealt with to a certain extent, the new energy consumption level is improved, the phenomenon of wind curtailment and light curtailment of the system is relieved, and safe and stable operation of the electric power system is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of electric power market, and in particular relates to an electric heat storage calling method in an electric power spot market environment. Background Art

[0002] The spot market breaks through the traditional "three public" dispatching mode of power system unit combination and unit planned output curve formulation. While considering the unit's declared information, it takes the lowest electricity cost of the entire network as the goal, and considers the unit operation constraints, grid safety constraints and other conditions. Through the optimization algorithm, the optimal unit combination and the output curve of the winning unit are obtained. At the same time, the node electricity price of each node in the entire network can be calculated, reflecting the time and space value of electricity, generally including the day-ahead market and the real-time market.

[0003] In the initial stage of the spot market, in order to maximize the absorption of new energy, the method of reporting quantity without quoting price is generally adopted to give priority to clearing new energy. However, considering factors such as the need for a certain level of inertia support for the system and the winter heating demand in some areas, it is necessary to set up certain thermal power units that must be turned on. When the output of new energy accounts for a very high proportion, the units that must be turned on at this time will be reduced to the minimum technical output, but wind and solar power may still be abandoned. At this time, in order to effectively improve the level of new energy absorption, consider investing in electric thermal storage as a regulatory resource outside the market to alleviate the problem of wind and solar power abandonment. At the same time, it is necessary to ensure that the system section does not exceed the limit after the investment of electric thermal storage to ensure the safe and stable operation of the system.

[0004] Judging from the current operating situation, the method of calling on electric thermal energy under the operating conditions of the electricity spot market has not been established in many parts of the country. On the one hand, electric thermal energy is essentially an out-of-market regulation method, which is difficult to effectively connect with the organizational method and pricing mechanism of the spot market; on the other hand, many electric thermal energy storages are located inside power plants and coupled with the output level of the units. The units normally accept node electricity prices, but the pricing and compensation method of electric thermal energy storage is difficult to determine, and its profit-making means and methods are not yet clear. Summary of the invention

[0005] In view of the shortcomings in the prior art, the present invention provides a method for calling electric thermal storage in an electricity spot market environment. Its purpose is to call on electric thermal storage to alleviate the new energy abandonment rate when all regulation resources are exhausted and new energy cannot be fully absorbed and there is a downward peak regulation gap in the system after the spot market is operating. At the same time, the pricing and profit model of electric thermal storage is clarified to effectively connect with the spot market.

[0006] The technical solution adopted by the present invention to achieve the above-mentioned purpose is:

[0007] A method for calling electric thermal storage in an electricity spot market environment comprises the following steps:

[0008] The maximum power consumption capacity curve at 96 o'clock on the declared operation day of the electric heat storage in the plant area is used to allocate the input parameters of the electric heat storage plan and serve as the constraint conditions during the optimization calculation so that the optimization result of the electric heat storage is within the declared power consumption capacity range;

[0009] When the market is officially cleared, the clearing calculation without considering the section safety constraints is carried out to determine whether there is wind and solar power abandonment in the system, that is, new energy abandonment. If there is no wind and solar power abandonment, the clearing calculation considering the section safety constraints is carried out; if there is, the total abandoned energy is recorded and used to allocate the input parameters of the electric thermal storage plan as a constraint condition during the optimization calculation, and the total abandoned energy is allocated to each electric thermal storage unit;

[0010] Allocate and call the electric thermal storage plan in a weighted average manner;

[0011] According to the allocation and call electric heat storage plan, the unit combination, unit output curve and node electricity price are optimized and calculated. The optimization result is the actual input amount of electric heat storage;

[0012] Carry out clearing calculations that take into account section safety constraints, calculate unit combinations, unit output curves, and node electricity prices, and publish them as the final clearing results of the electricity spot market, which will be used for execution by market entities after publication;

[0013] The markets in the above steps all refer to the day-ahead market.

[0014] The declaration of the 96-point maximum power consumption capacity curve of the electric heat storage on the operation day within the factory area refers to the power generation enterprise that has built an electric heat storage device within the factory area, which is responsible for declaring the 96-point maximum power consumption capacity curve of the electric heat storage on the factory area on D day before the specified time on D-1 day.

[0015] Carry out clearing calculation without considering section safety constraints to determine whether there is wind and solar power abandonment in the system. If there is wind and solar power abandonment, record the total abandoned energy, as follows:

[0016] The objective function of market clearing is expressed as follows:

[0017]

[0018] in:

[0019] N represents the total number of units;

[0020] T represents the total number of periods considered, where one period is 15 minutes on D day, and 96 periods are considered;

[0021] P i,t represents the output of unit i in period t, including thermal power units and new energy units;

[0022] C i,t (P i,t) is the operating cost of unit i in period t. For thermal power units, it is a multi-segment linear function related to the output intervals reported by the units and the corresponding energy prices. The bids of new energy units are set to negative prices to achieve priority clearing.

[0023] M is the network power constraint relaxation penalty factor used for market clearing optimization;

[0024] are the forward and reverse power flow relaxation variables of line l respectively; NL is the total number of lines;

[0025] are the positive and negative flow relaxation variables of section s respectively; NS is the total number of sections;

[0026] The unit output is expressed as follows:

[0027]

[0028]

[0029] Among them, NM is the total number of sections of the unit quotation, P i,t,m is the winning bid power of unit i in the mth output interval in time period t, They are the upper and lower bounds of the mth output interval reported by unit i;

[0030] The unit operating cost is expressed as follows:

[0031]

[0032] Among them, NM is the total number of sections of the unit quotation, C i,m The energy price corresponding to the mth output interval declared by unit i, where the bid of the new energy unit is a negative price to achieve priority clearing;

[0033] According to the optimization results, determine whether the system has wind and solar power abandonment phenomenon. If so, record the total abandoned energy P of the system in each time period t. 弃能,t .

[0034] The calculation of group combination means allocating the total abandoned energy of the system to each unit in a weighted average manner according to the installed capacity of the new energy unit, and calculating the abandoned energy of each new energy unit. The expression is as follows:

[0035]

[0036] in, is the abandoned energy of new energy unit i in period t, P i装机 is the installed capacity of the new energy unit i. If the first allocation is not completed, the allocation will be cyclically repeated until it is completed.

[0037] The output curve of the computer unit is calculated by subtracting the abandoned energy of the allocated unit from the predicted output value of each new energy unit as the upper limit of the output constraint of the corrected new energy unit. The expression is as follows:

[0038]

[0039] The upper and lower limits of the output of new energy units are as follows:

[0040]

[0041] Calculating node electricity prices includes the following steps:

[0042] Add line flow constraints and consider the flow constraints of key lines. The expressions are as follows:

[0043]

[0044] Among them, P l MAX is the power transmission limit of line l; G l-i G is the sensitivity factor of the node where unit i is located to line l; l-j is the sensitivity factor of the node where the tie line j is located to the line l; K is the number of nodes in the system; G l-k is the sensitivity factor of node k to line l; D k,t is the bus load value of node k in time period t. are the forward and reverse power flow relaxation variables of line l respectively;

[0045] Add section flow constraints and consider the flow constraints of key sections. The expressions are as follows:

[0046]

[0047] Among them, P s MIN , P s MAX are the power flow transmission limits of section s; G s-i G is the sensitivity factor of the node where unit i is located to section s; s-j G is the sensitivity factor of the node where the tie line j is located to the section s; s-k is the sensitivity factor of node k to section s. are the positive and negative flow relaxation variables of section s respectively;

[0048] Solving the above node electricity price calculation model, we can obtain the Lagrange multipliers of the system load balance constraints, line and section power flow constraints in each period, and the node electricity price of node k in period t is:

[0049]

[0050] in:

[0051] λ t is the Lagrange multiplier of the system load balance constraint in period t;

[0052] is the Lagrange multiplier of the maximum forward power flow constraint of line l. When the line power flow exceeds the limit, the Lagrange multiplier is the penalty factor for the relaxation of the network power flow constraint.

[0053] is the Lagrange multiplier of the maximum reverse power flow constraint of line l. When the line power flow exceeds the limit, the Lagrange multiplier is the penalty factor for the relaxation of the network power flow constraint.

[0054] is the Lagrange multiplier of the maximum positive flow constraint of section s. When the section flow exceeds the limit, the Lagrange multiplier is the penalty factor for the relaxation of the network flow constraint.

[0055] is the Lagrange multiplier of the maximum reverse power flow constraint of section s. When the section power flow exceeds the limit, the Lagrange multiplier is the penalty factor for the relaxation of the network power flow constraint.

[0056] G l-k is the sensitivity factor of node k to line l;

[0057] G s-k is the sensitivity factor of node k to section s;

[0058] All Lagrange multipliers are greater than or equal to 0.

[0059] The allocation and call plan of electric heat storage refers to the allocation of electric heat storage call plan based on the peak-shaving gap of unconstrained clearing in the manner of weighted average of the upper limit of electric heat storage that can be put into use. The upper limit of the electric heat storage device that can be put into use in each time period is determined by the smaller of the maximum power consumption capacity of 96 points reported on the day before and the minimum power generation capacity of the corresponding unit of the power plant at 96 points on the day before when the electric heat storage device is not put into use. When allocating, for the electric heat storage device that cannot be smoothly adjusted, the adjustment gear put into use shall not be higher than the allocated call plan. After the initial allocation, the remaining total adjustment amount is redistributed among the electric heat storage devices that can be smoothly adjusted according to the remaining upper limit that can be put into use. If the peak-shaving gap cannot be met after the upper limit of the remaining electric heat storage devices that can be smoothly adjusted is exhausted, the upper limit of the electric heat storage devices that cannot be smoothly adjusted will be called in order from small to large until the peak-shaving gap is met. The expression is as follows:

[0060]

[0061] in is the distribution output of the electric heat storage e in time period t, is the maximum available capacity of the electric heat storage e in time period t, is the sum of the maximum available capacities of all electric thermal storage units in time period t, P t abd Discard energy for unconstrained.

[0062] The optimization calculation of the actual input amount of electric thermal storage is to ensure that after the electric thermal storage is put into use, the system section does not exceed the limit, including the following steps:

[0063] The electric thermal output determined in the electric thermal plan will be allocated and called As the new upper limit of the electric thermal storage output, the output of the electric thermal storage is optimized, and the shortfall between the optimized output of the electric thermal storage and the new upper limit will be added to the objective function through a certain penalty factor, so that the optimized output is as equal to the new upper limit as possible;

[0064] The output constraint upper limit of the new energy unit is revised back to the predicted output value declared by the new energy unit before the energy abandonment. The expression is as follows:

[0065]

[0066] The output of thermal power units optimized in the allocation and call of electric thermal storage plan is taken as a fixed value in each period and participates in the optimization calculation. This step only optimizes the output of electric thermal storage;

[0067] The objective function is adjusted in the electric heat storage adjustment calculation, and the expression is as follows:

[0068]

[0069] N represents the total number of units;

[0070] T represents the total number of periods considered, where one period is 15 minutes on D day, and 96 periods are considered;

[0071] P i,t represents the output of unit i in period t;

[0072] C i,t (P i,t ), are the operating cost and startup cost of unit i in period t respectively;

[0073] M is the network power constraint relaxation penalty factor used for market clearing optimization;

[0074] are the forward and reverse power flow relaxation variables of line l respectively; NL is the total number of lines;

[0075] are the positive and negative flow relaxation variables of section s respectively; NS is the total number of sections;

[0076] Pt vis the shortfall between the new upper limit of electric thermal storage and the optimized output in period t, M v is the penalty factor for the shortage of electric heat storage, which is smaller than the section penalty factor. This method is used to ensure that the total amount of electric heat storage adjustment is as close as possible to the abandoned energy of new energy.

[0077] Add the electric thermal storage shortage equality constraint, the expression is as follows:

[0078]

[0079] Where E represents the total number of electric thermal storage units, Pe,t represents the output of electric thermal storage e in period t;

[0080] Update the upper limit constraint of electric heat storage, the expression is as follows:

[0081]

[0082] Update the system load balancing constraint, the expression is as follows:

[0083]

[0084] Update the line power flow constraint, the expression is as follows:

[0085]

[0086] Update the section flow constraint, the expression is as follows:

[0087]

[0088] After calculation, the actual optimization results of the electric thermal storage market are obtained.

[0089] The real-time market electric heat storage processing method means that the default bus load forecast value in the real-time market includes the output of electric heat storage, and the real-time market model will no longer be modified accordingly.

[0090] A computer device comprises a storage medium, a processor and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, the steps of an electric thermal storage calling method in an electric power spot market environment are implemented.

[0091] Compared with the prior art, the present invention has the following beneficial effects and advantages:

[0092] Based on production practice, the present invention establishes a reasonable electric heat storage call strategy. Under the electricity spot market environment, it can effectively alleviate the power abandonment rate of new energy to a certain extent and improve the level of new energy consumption. At the same time, it formulates a profit model for electric heat storage under the spot market environment to cope with the rapid development of new energy under the new power system, ensure the balance of power and electricity in the power grid, and ensure the safe and stable operation of the system, which will promote the smooth implementation of the electric heat storage call method. BRIEF DESCRIPTION OF THE DRAWINGS

[0093] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0094] Figure 1 It is a calculation flow chart. DETAILED DESCRIPTION

[0095] In order to more clearly understand the above-mentioned objectives, features and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0096] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0097] Example 1

[0098] like Figure 1 As shown, a method for calling electric thermal storage in an electricity spot market environment includes the following steps:

[0099] Carry out unconstrained calculations to determine whether there is wind and solar curtailment in the system;

[0100] If there is no wind or solar curtailment in the system, the section safety will be used as a constraint condition to perform constraint calculations on the computer group combination, unit output curve, and node electricity price, which will be published as the final clearing result of the electricity spot market and used for execution by market entities after publication;

[0101] If the system has wind and solar power abandonment, the total abandoned energy is recorded as the optimization calculation constraint when allocating the electric thermal storage plan; then, with section safety as the constraint, the computer group combination, unit output curve, and node electricity price are constrained.

[0102] Allocate and call the electric thermal storage plan in a weighted average manner;

[0103] According to the allocation and call-up plan of electric thermal storage, the maximum power consumption capacity curve of the electric thermal storage in the plant at 96 points on the declared operation day and the recorded total abandoned energy are used as constraints, and the unit combination, unit output curve and node electricity price are optimized and calculated. The optimization result is the actual investment of electric thermal storage.

[0104] Example 2

[0105] A method of making profits from electric thermal storage in the electricity spot market environment refers to investing in electric thermal storage when the system wastes energy. At this time, the spot price is low. The power plant's investment in electric thermal storage can reduce the output of the machine end and earn the price difference between the spot price and the medium- and long-term price. At the same time, electric thermal storage can be charged at an extremely low price and sell heat at a higher price to earn price difference profits.

[0106] Example 3

[0107] Constraints include: system load balance constraints

[0108] For each time period t, the load balance constraint expression is as follows:

[0109]

[0110] Among them, P i,t represents the output of unit i in period t, T j,t represents the planned power of tie line j in time period t (input is positive, output is negative), NT is the total number of tie lines, D t is the system load during period t.

[0111] Example 4

[0112] Constraints include: upper and lower limits of unit output

[0113] The output of the unit should be within its maximum / minimum output range, as expressed below:

[0114]

[0115] For the units that are shut down in the SCUC optimization results, All are taken as zero.

[0116] Example 5

[0117] Constraints include: upper and lower limits of unit group output

[0118] The output of the group should be within its maximum / minimum output range, as expressed below:

[0119]

[0120] in, are the maximum and minimum outputs of group j in time period t. The upper limit of the output of the new energy unit is the power forecast value reported by it, and the lower limit is 0.

[0121] Example 6

[0122] Constraints include: Unit climbing constraints

[0123] When the unit is climbing up or down a slope, it should meet the climbing rate requirements, which are expressed as follows:

[0124] P i,t -P i,t-1 ≤RU i

[0125] P i,t-1 -P i,t ≤RD i

[0126] Among them, RU i Indicates the maximum ramp rate of unit i, RD i Indicates the maximum ramp down rate of unit i.

[0127] Example 7

[0128] Constraints include: power plant power constraints

[0129] For power plants that are partially restricted by primary energy supply constraints, their winning bids in the day-ahead market should meet the power plant's upper limit constraint, expressed as follows:

[0130]

[0131] Among them, T0=96 is the total number of time periods on D day, is the upper limit of power generation of power plant j on day D.

[0132] Example 8

[0133] During the heating period, power generation companies that have built electric heat storage devices within the factory area are responsible for reporting the 96-point maximum power consumption capacity curve of electric heat storage within the factory area on D-1 before 08:15 on D-1.

[0134] Example 9

[0135] The present invention further provides an embodiment, which is an electric heat storage calling device in an electricity spot market environment, comprising:

[0136] A data transmission interface, used for transmitting the data; a memory, used for storing a computer program;

[0137] A processor is used to execute the computer program.

[0138] Example 10

[0139] Based on the same inventive concept, an embodiment of the present invention further provides a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, the steps of the electric thermal storage calling method in the power spot market environment described in embodiments 1-8 are implemented.

[0140] Embodiment 11

[0141] Based on the same inventive concept, an embodiment of the present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed, the steps of a method for calling electric thermal storage in an electricity spot market environment as described in Examples 1-8 are implemented.

[0142] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0143] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0144] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0145] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0146] 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for calling electric thermal storage in an electricity spot market environment, characterized in that: The steps include: The maximum power consumption capacity curve at 96 o'clock on the declared operation day of the electric heat storage in the plant area is used to allocate the input parameters of the electric heat storage plan and serve as the constraint conditions during the optimization calculation so that the optimization result of the electric heat storage is within the declared power consumption capacity range; Carry out clearing calculation without considering section safety constraints to determine whether there is wind and solar power abandonment in the system. If there is no wind and solar power abandonment, carry out clearing calculation considering section safety constraints; if there is wind and solar power abandonment, record the total abandoned energy for allocating input parameters for calling the electric heat storage plan as a constraint condition during optimization calculation, and allocate the total abandoned energy to each electric heat storage unit; Allocate and call the electric thermal storage plan in a weighted average manner; According to the allocation and calling of electric thermal storage plan, the unit combination, unit output curve and node electricity price are optimized and calculated, and the optimization result is the actual input of electric thermal storage. Carry out clearing calculations that take section safety constraints into consideration, calculate unit combinations, unit output curves, and node electricity prices, and publish them as the final clearing results of the electricity spot market, which will be used for execution by market entities after publication.

2. The method for calling electric thermal storage in a power spot market environment according to claim 1, characterized in that: The 96-point maximum electricity consumption capacity curve of the electric heat storage in the factory area on the operation day is reported, which means that the power generation enterprise that has built the electric heat storage device in the factory area is responsible for reporting the 96-point maximum electricity consumption capacity curve of the electric heat storage in the factory area on D day before the specified time on D-1 day.

3. The method for calling electric thermal storage in a power spot market environment according to claim 1, characterized in that: The clearing calculation without considering the section safety constraint is carried out to determine whether there is wind and solar power abandonment in the system. If there is wind and solar power abandonment, the total abandoned energy is recorded, as follows: The objective function of market clearing is expressed as follows: in: N represents the total number of units; T represents the total number of periods considered, where one period is 15 minutes on D day, and 96 periods are considered; P i,t represents the output of unit i in period t, including thermal power units and new energy units; C i,t (P i,t ) is the operating cost of unit i in time period t. For thermal power units, it is a multi-segment linear function related to the output intervals reported by the units and the corresponding energy prices. The bids of new energy units are set to negative prices to achieve priority clearing. M is the network power constraint relaxation penalty factor used for market clearing optimization; are the forward and reverse power flow relaxation variables of line l respectively; NL is the total number of lines; are the positive and negative flow relaxation variables of section s respectively; NS is the total number of sections; The unit output is expressed as follows: Among them, NM is the total number of sections of the unit quotation, P i,t,m is the winning bid power of unit i in the mth output interval in time period t, They are the upper and lower bounds of the mth output interval reported by unit i; The unit operating cost is expressed as follows: Among them, NM is the total number of sections of the unit quotation, C i,m The energy price corresponding to the mth output interval declared by unit i, where the bid of the new energy unit is a negative price to achieve priority clearing; According to the optimization results, determine whether the system has wind and solar power abandonment phenomenon. If so, record the total abandoned energy P of the system in each time period t. 弃能,t .

4. The method for calling electric thermal storage in a power spot market environment according to claim 1, characterized in that: The computer group combination refers to allocating the total abandoned energy of the system to each unit in a weighted average manner according to the installed capacity of the new energy unit, and calculating the abandoned energy of each new energy unit. The expression is as follows: in, is the abandoned energy of new energy unit i in period t, P i装机 is the installed capacity of the new energy unit i; if the first allocation is not completed, it will be allocated in a cyclic manner until it is completed.

5. The method for calling electric thermal storage in a power spot market environment according to claim 1, characterized in that: The computer group output curve is obtained by subtracting the allocated abandoned energy from the predicted output value of each new energy unit as the corrected upper limit of the new energy unit output constraint. The expression is as follows: The upper and lower limits of the output of new energy units are as follows:

6. The method for calling electric thermal storage in a power spot market environment according to claim 1, characterized in that: The calculation of node electricity price includes the following steps: Add line flow constraints and consider the flow constraints of key lines. The expressions are as follows: Among them, P l MAX is the power transmission limit of line l; G l-i G is the sensitivity factor of the node where unit i is located to line l; l-j is the sensitivity factor of the node where the tie line j is located to the line l; K is the number of nodes in the system; G l-k is the sensitivity factor of node k to line l; D k,t is the bus load value of node k in period t; are the forward and reverse power flow relaxation variables of line l respectively; Add section flow constraints and consider the flow constraints of key sections. The expressions are as follows: in, are the power flow transmission limits of section s; G s-i G is the sensitivity factor of the node where unit i is located to section s; s-j G is the sensitivity factor of the node where the tie line j is located to the section s; s-k is the sensitivity factor of node k to section s; are the positive and negative flow relaxation variables of section s respectively; Solving the above node electricity price calculation model, we can obtain the Lagrange multipliers of the system load balance constraints, line and section power flow constraints in each period, and the node electricity price of node k in period t is: in: λ t is the Lagrange multiplier of the system load balance constraint in period t; is the Lagrange multiplier of the maximum forward power flow constraint of line l. When the line power flow exceeds the limit, the Lagrange multiplier is the penalty factor for the relaxation of the network power flow constraint. is the Lagrange multiplier of the maximum reverse power flow constraint of line l. When the line power flow exceeds the limit, the Lagrange multiplier is the penalty factor for the relaxation of the network power flow constraint. is the Lagrange multiplier of the maximum positive flow constraint of section s. When the section flow exceeds the limit, the Lagrange multiplier is the penalty factor for the relaxation of the network flow constraint. is the Lagrange multiplier of the maximum reverse power flow constraint of section s. When the section power flow exceeds the limit, the Lagrange multiplier is the penalty factor for the relaxation of the network power flow constraint. G l-k is the sensitivity factor of node k to line l; G s-k is the sensitivity factor of node k to section s.

7. The method for calling electric thermal storage in a power spot market environment according to claim 1, characterized in that: The allocation and call plan of electric heat storage refers to the allocation of electric heat storage call plan in a weighted average manner according to the upper limit of electric heat storage that can be put into use based on the peak-shaving gap of unconstrained clearing. When allocating, for electric heat storage devices that cannot be smoothly adjusted, the adjustment gear put into use shall not be higher than the allocated call plan; After the initial allocation, the remaining total amount of adjustment is redistributed among the smoothly adjustable electric heat storage devices according to the remaining upper limit that can be put into use; if the peak-shaving gap cannot be met after the upper limit of the remaining smoothly adjustable electric heat storage devices is exhausted, the upper limits of the electric heat storage devices that cannot be smoothly adjusted are called in order from small to large until the peak-shaving gap is met. The expression is as follows: in is the distribution output of the electric heat storage e in time period t, is the maximum available capacity of the electric heat storage e in time period t, is the sum of the maximum available capacities of all electric thermal storage units in time period t, P t abd Discard energy for unconstrained.

8. The method for calling electric thermal storage in a power spot market environment according to claim 1, characterized in that: The optimization calculation of the actual input amount of electric thermal storage comprises the following steps: The electric thermal output in the electric thermal storage plan will be allocated and called As the new upper limit of the electric thermal storage output, the output of the electric thermal storage is optimized, and the shortfall between the optimized output of the electric thermal storage and the new upper limit will be added to the objective function through a certain penalty factor, so that the optimized output is as equal to the new upper limit as possible; The output constraint upper limit of the new energy unit is revised back to the predicted output value declared by the new energy unit before the energy abandonment. The expression is as follows: The output of thermal power units optimized in the allocation and call of electric thermal storage plan is taken as a fixed value in each period and participates in the optimization calculation. This step only optimizes the output of electric thermal storage; The objective function is adjusted in the electric heat storage adjustment calculation, and the expression is as follows: N represents the total number of units; T represents the total number of periods considered, where one period is 15 minutes on D day, and 96 periods are considered; P i,t represents the output of unit i in period t; C i,t (P i,t ), are the operating cost and startup cost of unit i in period t respectively; M is the network power constraint relaxation penalty factor used for market clearing optimization; are the forward and reverse power flow relaxation variables of line l respectively; NL is the total number of lines; are the positive and negative flow relaxation variables of section s respectively; NS is the total number of sections; P t v is the shortfall between the new upper limit of electric thermal storage and the optimized output in period t, M v is the penalty factor for the shortage of electric heat storage, which is smaller than the section penalty factor. This method is used to ensure that the total amount of electric heat storage adjustment is as close as possible to the abandoned energy of new energy. Add the electric thermal storage shortage equality constraint, the expression is as follows: Where E represents the total number of electric thermal storage units, P e,t represents the output of electric thermal storage e in period t; Update the upper limit constraint of electric heat storage, the expression is as follows: Update the system load balancing constraint, the expression is as follows: Update the line power flow constraint, the expression is as follows: Update the section flow constraint, the expression is as follows: After calculation, the actual optimization results of the electric thermal storage market are obtained.

9. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein when the processor executes the computer program, the steps of the electric thermal energy calling method in the electricity spot market environment described in any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium storing a computer program, wherein when the computer program is executed, the steps of the electric thermal energy storage calling method in the electricity spot market environment are implemented as described in any one of claims 1 to 8.

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