Day-ahead power spot market clearing method considering wind and solar energy guaranteed consumption

Abstract

The application discloses a day-ahead power spot market clearing method considering wind and light new energy guarantee consumption, comprising the following steps: obtaining the bidding data of new energy units and thermal power units in the day-ahead power spot market; calculating the generation output bidding of the new energy units and the thermal power units according to the bidding data to determine the day-ahead spot market clearing result; after the generation output bidding calculation, obtaining the un-bid new energy unit output part and the bid thermal power unit with a downward space in the day-ahead power spot market, replacing the generation output of the thermal power unit with the un-bid new energy unit output on the basis of meeting the power grid safe and stable operation requirements to obtain the generation right replacement data; and determining the final clearing data according to the day-ahead spot market clearing result and the generation right replacement data. Advantage: effectively solves the new energy guarantee consumption problem in China, and realizes the effective operation and healthy development of the power spot market.

Description

Technical Field

[0001] This invention relates to a day-ahead electricity spot market clearing method that takes into account the guaranteed consumption of wind and solar renewable energy, and belongs to the field of power system automation technology. Background Technology

[0002] Electricity spot market transactions are based on marginal cost, which naturally favors the participation of renewable energy sources with extremely low marginal costs, thus promoting the consumption of renewable energy. However, due to the randomness and irrationality of market bidding behavior, renewable energy sources may submit bids higher than their marginal cost, resulting in some renewable energy capacity failing to win bids and leading to energy curtailment.

[0003] Traditional electricity spot market clearing mechanisms cannot simultaneously achieve market-based pricing and guaranteed absorption of renewable energy. Therefore, how to achieve guaranteed absorption of renewable energy while maintaining market pricing and optimal resource allocation through the design of an electricity spot market operation mechanism is an urgent problem to be solved in the construction of China's electricity spot market. Summary of the Invention

[0004] The technical problem this invention aims to solve is to overcome the shortcomings of existing technologies and provide a day-ahead electricity spot market clearing method that considers the guaranteed consumption of wind and solar renewable energy. Under the background of guaranteed renewable energy consumption, this method promotes energy consumption and large-scale optimized allocation of energy resources. The unit bidding stage focuses on optimizing resource allocation within the province, discovering electricity prices, and ensuring a balance between power supply and demand and the safe operation of the power grid. The generation substitution stage focuses on deeply exploring the system's renewable energy acceptance potential, guaranteeing and promoting the consumption of wind and solar renewable energy. The unit bidding stage aims to minimize the total cost of electricity purchase across the entire grid, while the generation substitution stage aims to maximize social welfare by establishing an optimized clearing model. Renewable energy and conventional thermal power generating units participating in the electricity spot market are subject to unified bidding, and the optimized clearing is carried out in two stages.

[0005] To address the aforementioned technical problems, this invention provides a day-ahead electricity spot market clearing method that considers the guaranteed consumption of wind and solar renewable energy, comprising:

[0006] Obtain the current-day electricity spot market price data for new energy generating units and thermal power units;

[0007] Based on the bidding data, the power generation output of new energy units and thermal power units is calculated to determine the day-ahead spot market clearing result. The power generation output bidding calculation takes the lowest total cost of electricity purchase for the entire network as the objective function and meets the requirements for safe and stable operation of the power grid as the constraint. The day-ahead spot market clearing result includes the day-ahead spot market clearing price and the day-ahead spot market clearing volume.

[0008] After calculating the power generation output bidding, the power output of the unsuccessful new energy units in the day-ahead electricity spot market and the successful thermal power units with room for downward adjustment are obtained. On the basis of meeting the requirements for safe and stable operation of the power grid, the power generation output of the unsuccessful new energy units is used to replace the power generation output of the thermal power units to obtain the power generation right replacement data.

[0009] The final clearing data will be determined based on the previous day's spot market clearing results and power generation rights replacement data.

[0010] Furthermore, the objective function is:

[0011]

[0012] Where: T represents the total number of time periods considered; N represents the total number of generating units; p i,t This represents the output of unit i during time period t; C i,t (p i,t ), Let C represent the operating cost, startup cost, and no-load cost of unit i during time period t, where the unit operating cost C i,t (p i,t ( ) is a multi-segment linear function related to the various output ranges declared by the generating unit and the corresponding energy prices; unit start-up costs It is a function related to the unit's downtime, representing the start-up cost of the unit under different conditions; the unit's no-load operating cost. This represents the no-load cost of the unit under operating conditions; M is the network flow constraint relaxation penalty factor used for market clearing optimization. , , represent the forward and reverse tidal current relaxation variables for section s, respectively; NS represents the total number of sections.

[0013] Furthermore, the constraint of meeting the requirements for safe and stable operation of the power grid includes:

[0014] System load balance constraints, system positive reserve capacity constraints, system negative reserve capacity constraints, system spinning reserve constraints, special unit status constraints, unit output upper and lower limit constraints, unit group output upper and lower limit constraints, unit ramping constraints, unit minimum continuous start-up and shutdown time constraints, and cross-sectional power flow limit constraints.

[0015] Furthermore, the system load balancing constraint is as follows:

[0016]

[0017] Where, p i,t T represents the output of unit i during time period t. j,t This represents the planned power of tie line j in time period t, where NT is the total number of tie lines, and D... t The system load for time period t;

[0018] The system's positive and backup capacity constraints are as follows:

[0019]

[0020] Where, α i,t α represents the start-up and shutdown status of unit i during time period t. i,t =0 indicates that the unit is shut down, α i,t =1 indicates that the unit is started; This represents the maximum output of unit i during time period t. The system's positive reserve capacity requirement for time period t;

[0021] The system's negative reserve capacity constraint is:

[0022]

[0023] in, Let be the minimum output of unit i during time period t; The system's negative reserve capacity requirement for time period t;

[0024] The system rotational reserve constraint is:

[0025]

[0026]

[0027] in, This represents the maximum ramp rate of unit i. This represents the maximum downhill / climb rate of unit i. These are the maximum and minimum output of unit i during time period t, respectively; The requirements for rotating reserve are adjusted upwards and downwards for time period t, respectively.

[0028] The special unit state constraints are as follows:

[0029]

[0030]

[0031] Among them, I s1 This refers to the complete set of mandatory operating units; I s2 It refers to the complete set of units that must be shut down.

[0032] The upper and lower limits of the unit's output are constrained as follows:

[0033]

[0034] For units that must be started, α is required during their mandatory start-up period. i,t =1, if there is a minimum output requirement, then in the above formula Take the minimum required output for the corresponding time period;

[0035] The upper and lower limits of the unit group output are constrained as follows:

[0036]

[0037] in, For the maximum and minimum output of unit group j in time period t;

[0038] The unit's ramp-up constraint is:

[0039]

[0040]

[0041] in, This represents the maximum ramp rate of unit i. This represents the maximum downhill / climb rate of unit i.

[0042] The minimum continuous start-up and shutdown time constraint for the unit is:

[0043]

[0044]

[0045] Where, α i,t The start / stop status of unit i during time period t; T U T D These are the minimum continuous start-up time and minimum continuous shutdown time of the unit; Let α be the duration of continuous operation and continuous shutdown of unit i during time period t. i,t (i = 1 to N, t = 1 to T) can be used to represent:

[0046]

[0047]

[0048] The cross-sectional power flow limit constraint is as follows:

[0049]

[0050] in, These represent the power flow transmission limits at section s, respectively; G s-i G is the generator output power transfer distribution factor from node i to section s; s-j G is the generator output power transfer distribution factor from node j to section s; s-k Let be the generator output power transfer distribution factor at node k to section s; These are the forward and reverse kinetic flow relaxation variables for section s, respectively.

[0051] Furthermore, the expression for the output of unit i in time period t is:

[0052]

[0053]

[0054] Where NM represents the total number of price segments for the generator set; p i,t,m The winning bid power for unit i in the m-th output interval of time period t; These are the upper and lower limits of the m-th output range declared by unit i, respectively.

[0055] Furthermore, the expression for the operating cost of unit i in time period t is:

[0056]

[0057] Where NM represents the total number of price segments for the generator set; C i,t,m The energy price corresponding to the m-th output range declared by unit i.

[0058] Furthermore, based on meeting the requirements for safe and stable operation of the power grid, the generation rights of thermal power units are replaced by new energy generating units in the day-ahead electricity spot market that did not win the bid, resulting in generation rights replacement data, including:

[0059] The objective function for determining the replacement of power generation rights, with the goal of maximizing social welfare, is expressed as:

[0060]

[0061] Among them, ↓Δp i,t C represents the reduced output of thermal power unit i during time period t; i,t (↓Δp i,t ) represents the reduction in system electricity purchase cost caused by the reduced output of thermal power unit i during time period t; ↑Δf i,t C represents the additional power output of the new energy unit i during time period t; i,t (↑Δf i,t ) represents the increase in system electricity purchase cost caused by the increased output of new energy unit i during time period t;

[0062] The output value after the replacement of thermal power units is:

[0063]

[0064] The output value after the replacement of power generation by new energy units is:

[0065]

[0066] The constraints on unit output upper and lower limits, unit ramping constraints, unit group output upper and lower limits, system load balance constraints, system positive and negative reserve capacity constraints, system spinning reserve constraints, and cross-sectional power flow limit constraints during the power generation substitution phase are the same as those during the power generation bidding calculation phase.

[0067] Furthermore, determining the final clearing data based on the day-ahead spot market clearing results and power generation rights replacement data includes:

[0068] During the power generation bidding calculation phase, the winning bid volume of the generating units will be settled according to the day-ahead spot market clearing price; during the power generation substitution phase, the increased power volume of new energy generating units will be settled according to the day-ahead new energy substitution price, and the decreased power volume of thermal power generating units will be settled according to the day-ahead thermal power compensation price.

[0069] Wherein, the day-ahead new energy substitution price = day-ahead spot market clearing price * ξ; the day-ahead thermal power compensation price = day-ahead spot market clearing price * (1-ξ); where ξ is the substitution price coefficient.

[0070] A computer-readable storage medium storing one or more programs, said one or more programs including instructions that, when executed by a computing device, cause the computing device to perform any of the methods described.

[0071] A computing device, comprising,

[0072] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for performing any of the methods described.

[0073] The beneficial effects achieved by this invention are as follows:

[0074] The unified bidding method for wind and solar power units participating in the transaction, along with conventional thermal power units, can improve market efficiency. The clearing mechanism and optimization model take into account the bidding information of various types of units and the requirements for guaranteed consumption of renewable energy. Through market-based means, the system's regulation potential is deeply explored to ensure and promote the consumption of renewable energy. During the unit bidding phase, the electricity spot market is cleared normally, and renewable energy has the right to choose its bid and the right to set market prices. The market mechanism discovers the true price signal reflecting the real-time electricity supply and demand level. During the power generation substitution phase, priority is given to consuming low-bid renewable energy units that are subject to curtailment, and reasonable compensation is provided to thermal power units that give up consumption space. This effectively solves the problem of guaranteed consumption of renewable energy in China and achieves the effective operation and healthy development of the electricity spot market. Attached Figure Description

[0075] Figure 1This is a block diagram illustrating the principle of the method of the present invention. Detailed Implementation

[0076] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0077] like Figure 1 As shown, this invention provides a day-ahead electricity spot market clearing method that considers the guaranteed consumption of wind and solar renewable energy. It is a two-stage optimization clearing problem. In the unit bidding stage, the true price signal reflecting real-time electricity supply and demand is discovered. In the generation substitution stage, the system's adjustment space is explored to meet the guaranteed consumption requirements of renewable energy. In the unit bidding stage, renewable energy units and conventional thermal power units bid for power output based on bidding data. When renewable energy power cannot be fully absorbed due to excessively high renewable energy generation or grid security constraints, renewable energy units bid for power output based on predicted power output values ​​and bidding data for each time period until the grid's safe and stable operation requirements are met. In the generation substitution stage, the renewable energy power reduction caused by excessively high bids in the unit bidding stage is substituted by thermal power units with downward adjustment space. The specific modeling and calculation steps are detailed below.

[0078] First, wind and solar power units participating in the day-ahead electricity spot market transaction and conventional thermal power units uniformly declare electricity and price information, and adopt time-of-use pricing based on marginal cost, with each time period being 15 minutes. Each generator unit needs to declare price and electricity for each time period in 24 hours.

[0079] Each generator set submits its bid in the basic format of "price-electricity-time period". The price is the unit price declared for the transaction, the electricity is the instantaneous electrical energy available for clearing, and the time period is the validity period of the bid information within a specific 15-minute time segment on a certain day.

[0080] Next, optimization calculations are performed during the unit bidding phase. The objective function is to minimize the total power purchase cost across the entire network.

[0081]

[0082] Where: T represents the total number of time periods considered, with each time period on day D consisting of 15 minutes, totaling 96 time periods; N represents the total number of generating units; p i,t This represents the output of unit i during time period t; C i,t (p i,t ), Let C be the operating cost, startup cost, and no-load cost of unit i during time period t, where the unit operating cost C is... i,t (p i,tThe cost is a multi-segment linear function related to the output ranges declared by the generating unit and the corresponding energy prices; the unit start-up cost is... It is a function related to the unit's downtime, representing the start-up cost of the unit under different conditions (cold / warm / hot); and the unit's no-load operating cost. This represents the no-load cost of the unit under operating conditions (including start-up and shutdown processes); M is the network flow constraint relaxation penalty factor used for market clearing optimization. , , represent the forward and reverse tidal current relaxation variables for section s, respectively; NS represents the total number of sections.

[0083] The constraints for optimization calculations during the unit bidding phase include: upper and lower limits of unit output, unit ramp-up constraints, minimum continuous start-up and shutdown time constraints, upper and lower limits of unit group output, system load balance constraints, system positive and negative reserve capacity constraints, system spinning reserve constraints, and cross-sectional power flow limit constraints.

[0084] (1) System load balance constraints

[0085] For each time period t, the load balancing constraint can be described as:

[0086]

[0087] Where, p i,t T represents the output of unit i during time period t. j,t This 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, and D... t Let t be the system load during time period t.

[0088] (2) System positive reserve capacity constraints

[0089] To ensure system power balance and prevent supply and demand imbalances caused by system load forecasting deviations and various actual operational accidents, the entire system generally needs to reserve a certain amount of capacity.

[0090] The total daily uptime must meet the system's minimum standby capacity. The system's positive standby capacity constraint can be described as follows:

[0091]

[0092] Where, α i,t α represents the start-up and shutdown status of unit i during time period t. i,t =0 indicates that the unit is shut down, α i,t =1 indicates that the unit is started; This represents the maximum output of unit i during time period t. The system's positive standby capacity requirement for time period t.

[0093] (3) System negative reserve capacity constraint

[0094] The system negative reserve capacity constraint can be described as:

[0095]

[0096] in, Let be the minimum output of unit i during time period t; The system's negative backup capacity requirement for time period t.

[0097] (4) System spin-off standby constraint

[0098] The total upward and downward adjustment capacity of the unit output at each time period must meet the actual upward and downward adjustment requirements for rotating standby.

[0099]

[0100]

[0101] in, This represents the maximum ramp rate of unit i. This represents the maximum downhill / climb rate of unit i. These are the maximum and minimum output of unit i during time period t, respectively; The requirements for rotating backup are adjusted upwards and downwards for time period t, respectively.

[0102] (5) Special unit status constraints

[0103]

[0104]

[0105] Among them, I s1 This refers to the complete set of mandatory operating units; I s2 It refers to the complete set of units that must be shut down.

[0106] (6) Upper and lower limits of unit output constraints

[0107] The unit's output should be within its maximum / minimum output range, and the constraint can be described as follows:

[0108]

[0109] For units that must be started, α is required during their mandatory start-up period. i,t =1, if there is a minimum output requirement, then in the above formula Take the minimum required output for the corresponding time period.

[0110] (7) Upper and lower limits of unit group output constraints

[0111] The output of the generator group should be within its maximum / minimum output range, and the constraint can be described as follows:

[0112]

[0113] in, For unit group j, the maximum and minimum outputs are given during time period t.

[0114] (8) Unit ramping constraints

[0115] When the unit is climbing an incline or descending an incline, the climbing rate requirement must be met. The climbing constraint can be described as follows:

[0116]

[0117]

[0118] in, This represents the maximum ramp rate of unit i. This represents the maximum downhill / climb rate of unit i.

[0119] (9) Minimum continuous start-up and shutdown time constraint of the unit

[0120] Due to the physical properties and actual operational requirements of thermal power units, they are required to meet a minimum continuous start-up / shutdown time. This minimum continuous start-up / shutdown time constraint can be described as follows:

[0121]

[0122]

[0123] Where, α i,t The start / stop status of unit i during time period t; T U T D These are the minimum continuous start-up time and minimum continuous shutdown time of the unit; The continuous operating time and continuous shutdown time of unit i during time period t can be represented by the state variable α. i,t (i = 1 to N, t = 1 to T) can be used to represent:

[0124]

[0125]

[0126] (10) Cross-sectional power flow limit constraints

[0127] Considering the power flow constraints at the critical section, these constraints can be described as follows:

[0128]

[0129] in, These represent the power flow transmission limits at section s, respectively; G s-i G is the generator output power transfer distribution factor from node i to section s; s-j G is the generator output power transfer distribution factor from node j to section s; s-k Let be the generator output power transfer distribution factor at node k to section s. These are the forward and reverse kinetic flow relaxation variables for section s, respectively.

[0130] Unit output expression:

[0131]

[0132]

[0133] Where NM represents the total number of price segments for the generator set; p i,t,m The winning bid power for unit i in the m-th output interval of time period t; These are the upper and lower limits of the m-th output range declared by unit i, respectively.

[0134] Unit operating cost expression:

[0135]

[0136] Where NM represents the total number of price segments for the generator set; C i,t,m The energy price corresponding to the m-th output range declared by unit i.

[0137] Then, optimization calculations are performed for the power generation substitution stage. The objective function is to maximize social welfare.

[0138]

[0139] Among them, ↓Δp i,t C represents the reduced output of thermal power unit i during time period t; i,t (↓Δp i,t ) represents the reduction in system electricity purchase cost caused by the reduced output of thermal power unit i during time period t; ↑Δf i,t C represents the additional power output of the new energy unit i during time period t; i,t (↑Δf i,t ) represents the increase in system electricity purchase cost caused by the increased output of new energy unit i during time period t.

[0140] The output value after the replacement of thermal power units is:

[0141]

[0142] The output value after the replacement of power generation by new energy units is:

[0143]

[0144] The constraints on unit output upper and lower limits, unit ramping constraints, unit group output upper and lower limits, system load balance constraints, system positive and negative reserve capacity constraints, system spinning reserve constraints, and cross-sectional power flow limit constraints during the power generation substitution phase are the same as those during the unit bidding phase.

[0145] Finally, the clearing price is calculated. During the unit bidding phase, the day-ahead spot market clearing price is calculated using optimized methods. The winning bid volume for generating units during this phase is settled according to the day-ahead spot market clearing price. During the power substitution phase, the increased power volume of renewable energy units is settled according to the day-ahead renewable energy substitution price, while the decreased power volume of thermal power units is settled according to the day-ahead thermal power compensation price.

[0146] The current daytime new energy substitution price = current daytime spot market clearing price * ξ; the current daytime thermal power compensation price = current daytime spot market clearing price * (1-ξ); where ξ is the substitution price coefficient, which can be adjusted according to actual needs.

[0147] Accordingly, the present invention also provides a computer-readable storage medium for storing one or more programs, said one or more programs including instructions that, when executed by a computing device, cause the computing device to perform any of the methods described.

[0148] Accordingly, the present invention also provides a computing device, comprising,

[0149] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for performing any of the methods described.

[0150] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0151] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0152] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0153] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0154] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for clearing the day-ahead electricity spot market that considers the guaranteed consumption of wind and solar renewable energy, characterized in that, include: Obtain the current-day electricity spot market price data for new energy generating units and thermal power units; Based on the bidding data, the power generation output of new energy units and thermal power units is calculated to determine the day-ahead spot market clearing result. The power generation output bidding calculation takes the lowest total cost of electricity purchase for the entire network as the objective function and meets the requirements for safe and stable operation of the power grid as the constraint. The day-ahead spot market clearing result includes the day-ahead spot market clearing price and the day-ahead spot market clearing volume. After calculating the power generation output bidding, the power output of the unsuccessful new energy units in the day-ahead electricity spot market and the successful thermal power units with room for downward adjustment are obtained. On the basis of meeting the requirements for safe and stable operation of the power grid, the power generation output of the unsuccessful new energy units is used to replace the power generation output of the thermal power units to obtain the power generation right replacement data. The final clearing data will be determined based on the previous day's spot market clearing results and power generation rights replacement data; The process, based on meeting the requirements for safe and stable operation of the power grid, involves replacing the power generation rights of thermal power units with those of unsuccessful bidders in the day-ahead electricity spot market, resulting in power generation rights replacement data, including: The objective function for determining the replacement of power generation rights, with the goal of maximizing social welfare, is expressed as: ； in, This represents the reduced output of thermal power unit i during time period t. This represents the reduction in system power purchase cost caused by the reduced output of thermal power unit i during time period t. The additional output power of the new energy unit i during time period t; The increase in system electricity purchase cost caused by the increased output of new energy unit i during time period t; The output value after the replacement of the thermal power unit is: ； The output value after the replacement of power generation by new energy units is: ； The constraints on unit output upper and lower limits, unit ramping constraints, unit group output upper and lower limits, system load balance constraints, system positive and negative reserve capacity constraints, system spinning reserve constraints, and cross-sectional power flow limit constraints during the power generation substitution phase are the same as those during the power generation bidding calculation phase.

2. The day-ahead electricity spot market clearing method considering the guaranteed consumption of wind and solar new energy sources according to claim 1, characterized in that, The objective function is: ； in: Indicates the total number of time periods considered; Indicates the total number of generating units; Indicates the unit exist Efforts during a specific time period; , , These are the operating cost, startup cost, and no-load cost of unit i during time period t, respectively, where the unit operating cost is... It is a multi-segment linear function related to the output ranges declared by the generating unit and the corresponding energy prices; unit start-up costs It is a function related to the unit's downtime, representing the start-up cost of the unit under different conditions; the unit's no-load operating cost. This indicates the no-load cost of the unit under operating conditions; A network flow constraint relaxation penalty factor used for market clearing optimization; , Cross-sections Forward and reverse power flow slack variables; This represents the total number of cross-sections.

3. The day-ahead electricity spot market clearing method considering the guaranteed consumption of wind and solar new energy sources according to claim 2, characterized in that, The constraint of meeting the requirements for safe and stable operation of the power grid includes: System load balance constraints, system positive reserve capacity constraints, system negative reserve capacity constraints, system spinning reserve constraints, special unit status constraints, unit output upper and lower limit constraints, unit group output upper and lower limit constraints, unit ramping constraints, unit minimum continuous start-up and shutdown time constraints, and cross-sectional power flow limit constraints.

4. The day-ahead electricity spot market clearing method considering the guaranteed consumption of wind and solar new energy sources according to claim 3, characterized in that, The system load balancing constraint is: ； in, This represents the output of unit i during time period t. This indicates the planned power of tie line j in time period t. The total number of connecting lines, The system load for time period t; The system's positive and backup capacity constraints are as follows: ； in, This indicates the start / stop status of unit i during time period t. This indicates that the generator unit has stopped. This indicates that the generator unit is started; This represents the maximum output of unit i during time period t. The system's positive reserve capacity requirement for time period t; The system's negative reserve capacity constraint is: ； in, Let be the minimum output of unit i during time period t; The system's negative reserve capacity requirement for time period t; The system rotational reserve constraint is: ； ； in, This represents the maximum ramp rate of unit i. This represents the maximum downhill / climb rate of unit i. , These are the maximum and minimum output of unit i during time period t, respectively; , The requirements for rotating reserve are adjusted upwards and downwards for time period t, respectively. The special unit state constraints are as follows: ； ； in, This refers to the complete set of the mandatory operating units; This refers to the complete set of units that must be shut down; The upper and lower limits of the unit's output are constrained as follows: ； For units that must be turned on, during their mandatory operating periods, the following requirements must be met: If there is a minimum output requirement, then in the above formula... Take the minimum required output for the corresponding time period; The upper and lower limits of the unit group output are constrained as follows: ； in, , For the maximum and minimum output of unit group j in time period t; The unit's ramp-up constraint is: ； ； in, This represents the maximum ramp rate of unit i. This represents the maximum downhill / climb rate of unit i. The minimum continuous start-up and shutdown time constraint for the unit is: ； ； in, This represents the start-up and shutdown status of unit i during time period t; , These are the minimum continuous start-up time and minimum continuous shutdown time of the unit; , Let the continuous operating time and continuous shutdown time of unit i at time t be represented by state variables. To indicate: ； ； The cross-sectional power flow limit constraint is as follows: ； in, , These represent the power flow transmission limits at section s, respectively. The generator output power transfer distribution factor of the node where unit i is located to section s; The generator output power transfer distribution factor from the node where tie line j is located to section s; Let be the generator output power transfer distribution factor at node k to section s; , These are the forward and reverse kinetic flow relaxation variables for section s, respectively.

5. The day-ahead electricity spot market clearing method considering the guaranteed consumption of wind and solar new energy sources according to claim 3, characterized in that, The expression for the output of unit i in time period t is: ； ； in, This represents the total number of segments in the unit's price quote; For unit i in time period t The winning bid for power in each output range; , The first application submitted by unit i respectively The upper and lower limits of the output range.

6. The day-ahead electricity spot market clearing method considering the guaranteed consumption of wind and solar new energy sources according to claim 3, characterized in that, The expression for the operating cost of unit i in time period t is: ； in, This represents the total number of segments in the unit's price quote; For the unit The first application The energy price corresponding to each output range.

7. The day-ahead electricity spot market clearing method considering the guaranteed consumption of wind and solar new energy sources according to claim 1, characterized in that, The determination of the final clearing data based on the day-ahead spot market clearing price and power generation rights replacement data includes: The winning bid volume of generating units during the power generation output bidding calculation phase is settled according to the day-ahead spot market clearing price; during the power generation substitution phase, the increased power volume of new energy generating units is settled according to the day-ahead new energy substitution price, and the decreased power volume of thermal power units is settled according to the day-ahead thermal power compensation price. Wherein, the day-ahead new energy substitution price = day-ahead spot market clearing price * ξ; the day-ahead thermal power compensation price = day-ahead spot market clearing price * (1-ξ); where ξ is the substitution price coefficient.

8. A computer-readable storage medium for storing one or more programs, characterized in that, The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods according to claims 1 to 7.

9. A computing device, characterized in that, include, One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods according to claims 1 to 7.

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