A new energy and thermal power bundled transaction pricing method considering resource complementary characteristics

Abstract

A new energy and thermal power bundling transaction pricing method considering resource complementary characteristics, first, the basic strategy of bundling sending transaction is made; then the monthly bundling transaction optimization model of inter-provincial wind, light new energy and thermal power is established, taking the minimum sending end power generation cost as the objective function, considering the wind and light abandonment cost, considering power balance, thermal power unit climbing constraint, minimum continuous start-stop time constraint, capacity constraint, new energy actual output constraint, wind and light abandonment constraint and bundling proportion constraint, etc., the optimal new energy and thermal power bundling configuration proportion is obtained by optimization solution; based on the optimal bundling proportion, the transaction power of new energy and thermal power is decomposed by using the power ratio method, the weighted method of new energy and thermal power on-grid transaction price is adopted, the bundling transaction transaction price and landing transaction price are obtained, so as to ensure that the landing price of the receiving end is the lowest. The method can consider the complementary characteristics of wind and light resources, the power grid power demand and the price bearing capacity of the receiving end, protect the interests of each power generation subject, and promote large-scale new energy power sending and consumption.

Description

Technical Field

[0001] This invention belongs to the field of new energy power trading technology, and in particular relates to a pricing method for bundled transactions of new energy and thermal power that takes into account the complementary nature of resources. Background Technology

[0002] With the continuous increase in my country's installed capacity of new energy sources, the transmission and consumption of these sources have become major problems hindering the healthy and stable development of my country's new energy sector, leading to frequent instances of "stranded power" in the Northwest region. Unlike the decentralized transmission methods of new energy sources abroad, China's highly centralized large-scale bundled transmission of new energy and thermal power is considered an ideal way to consume wind and solar power. The Northwest region has already incorporated the construction of ultra-high-voltage (UHV) transmission channels bundling new and conventional energy into its power planning, aiming to build inter-regional and inter-provincial energy transmission channels to improve the utilization efficiency of new energy. Large-scale bundled transmission of new and conventional energy through regional power market models can fully leverage the advantages of regional grid interconnection and tap the potential for inter-provincial thermal-wind-solar complementarity. Therefore, innovating power trading mechanisms and establishing bundled trading price mechanisms between new and conventional energy sources are of great scientific and theoretical significance for promoting the large-scale optimal allocation of new energy, alleviating the imbalance of power resources in my country, and promoting the consumption of new energy.

[0003] The bundled transmission system of new and conventional energy sources mainly consists of wind farms, photovoltaic power plants, hydropower plants during the high-water season, thermal power units, and transmission channels. Since thermal power units play a peak-shaving role in the energy transmission system, their output needs to be adjusted according to the fluctuations in new energy output; therefore, thermal power units bear the responsibility of power balance. In existing research on bundled transmission systems of new and conventional energy sources, the ratio of new energy to thermal power is usually based on practical engineering experience, generally taking a value of 1:2, without a scientific theoretical basis for calculating the bundling ratio. In recent years, many scholars have conducted extensive research on the technical aspects of new energy transmission, mainly including the coordinated scheduling of bundled transmission of new energy and thermal power, the economic assessment of transmission line capacity, the selection of landing points for dedicated ultra-high voltage transmission channels for new energy, and the equivalent reliable capacity of transmission. However, factors affecting the system's unit coal consumption, system economics, and the economic costs of wind and solar curtailment have not been discussed in depth. In reality, each province in the sending-end power grid directly engages in long-term contract transactions with the receiving-end provinces or regions. However, there is little research on the distribution of benefits and pricing methods for the transmission of new energy and thermal power. Currently, the transaction price between the sending and receiving ends is obtained through bilateral negotiation based on experience, which makes it difficult to fully leverage the value discovery function of market-based transactions and to guarantee the fairness and rationality of the benefits of transmission.

[0004] Therefore, it is necessary to propose a pricing method for bundled transactions of new energy and thermal power that considers the complementary characteristics of resources. This method optimizes unit combination and economic dispatch by taking into account the output characteristics of various energy sources, scientifically determines the bundling ratio, and rationally allocates the external power transmission price level. This is of great significance for tapping the complementary and mutually supportive potential of wind, solar and thermal energy, giving full play to the overall balancing role of the regional power grid, scientifically coordinating resources within and between provinces, protecting the interests of various power generation entities, facilitating smooth inter-regional and inter-provincial transactions, and improving the capacity and absorption level of large-scale new energy power transmission. Summary of the Invention

[0005] The purpose of this invention is to propose a pricing method for bundled transactions of new energy and thermal power that takes into account the complementary nature of resources. This method can not only scientifically optimize the bundling ratio of new energy and thermal power, thus improving the lack of scientific theoretical basis in the current cross-provincial and cross-regional transactions, but also optimize the bundled transaction price, protect the interests of power generation entities, and minimize the landing price at the receiving end, thereby improving the cross-provincial and cross-regional consumption capacity of new energy. It has strong versatility and engineering applicability.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] 1) Formulate a basic strategy for bundled transmission of new energy and thermal power: In the bundled transmission of wind and solar new energy and thermal power, when the total power generation of new energy and thermal power exceeds the transmission capacity, due to the operating characteristics of new energy, thermal power units must reduce their output when the output of new energy is increased. If the power generation of new energy exceeds the total transmission power, the total transmission power will be controlled within the transmission capacity by curtailing power. When the output of new energy decreases, the output of thermal power needs to be increased to make up for the difference between the DC transmission power and the reduced power of new energy, and the maximum value of thermal power output must be reached. Based on the above trading strategy, all market participants and entities participate in the bundled transmission of new energy and thermal power.

[0008] 2) Set the number of trading days D and the daily trading period T, select the typical characteristic season of power system operation, and input the power system information, including the regional total load forecast curve. Forecast curves of wind and solar power output and Outbound connection line plan curve

[0009] 3) Based on the bundled power transmission transaction operation strategy in step 1) and the input power system information in step 2), establish and solve a monthly bundled transaction optimization model for inter-provincial wind, solar, and thermal power. Use optimization solvers such as CPLEX to solve the above mixed integer linear programming model to obtain the total renewable energy generation and total thermal power generation of the regional power grid. Then, use the total photovoltaic power generation... Total wind power generation and thermal power generation The formula for determining the bundled ratio of new energy and thermal power is as follows:

[0010]

[0011] In the formula, N PV —The number of photovoltaic power stations;

[0012] N W —Number of wind turbine units;

[0013] N TH —Number of thermal power units;

[0014] —The actual output of wind turbine i at time t on day d;

[0015] —The actual output of photovoltaic power station i at time t on day d;

[0016] —The actual output of thermal power unit i at time t on day d;

[0017] Among them, the monthly bundled transaction optimization model for inter-provincial wind, solar and thermal power bundles takes the minimum power generation cost in the sending region as the objective function, including thermal power generation cost and wind and solar curtailment cost. The model's constraints include power balance constraints, thermal power ramp-up constraints, unit continuous start-up and shutdown time constraints, minimum technical output constraints, actual output constraints of new energy, wind and solar curtailment constraints, and wind, solar and thermal power bundle ratio constraints.

[0018] 4) Based on the optimized new energy and thermal power bundling ratio η and the new energy grid connection transaction price ρ obtained in step 3), RE The transaction price of thermal power grid connection ρ TH The bundled transaction price for the sending region is obtained from the following formula:

[0019] ρ f =ρ RE *η+ρ TH *(1-η)

[0020] 5) Based on the bundled transaction composite price ρ of the sending region obtained in step 4), f And the transmission price ρ of inter-regional and inter-provincial DC power transmission channels. ω The landed price in the receiving area for bundled DC transmission can be obtained from the following formula:

[0021] ρ t =ρ f +ρ ω

[0022] In step 1), the market participants for bundled transactions of new energy and thermal power include market entities, power trading institutions, and power dispatching institutions. Market entities include wind power and photovoltaic new energy power generation companies, thermal power generation companies, and power grid companies.

[0023] In step 1), the bundled transaction of new energy and thermal power is an inter-provincial bundled transaction. That is, when the interconnected regional power grid has a demand for the transmission of clean energy, the inter-provincial transmission line in the sending region is comprehensively considered, the characteristics of new energy power generation in the relevant provinces are considered, and the power generation plans of thermal power generation enterprises in the relevant provinces are considered. Based on the electricity transaction price negotiated by centralized bidding or bilateral negotiation, new energy and thermal power are bundled in a certain proportion to carry out cross-regional transactions, taking into account the stability of the transmission transaction and the reasonableness of the transmission transaction price.

[0024] In step 2), the time scale for bundled transactions is one month, the typical season for power system operation is a month in spring, summer, autumn, or winter, the number of transaction days D is set to 31 days, and the daily transaction period T is 24 hours.

[0025] The monthly bundled transaction optimization model for inter-provincial wind, solar and thermal power in step 2) is established with the objective function of minimizing the power generation cost in the sending region. It includes the cost of thermal power generation and the cost of curtailment of wind and solar power. The constraints of the model include power balance constraints, thermal power ramp-up constraints, continuous start-up and shutdown time constraints of thermal power units, minimum technical output constraints, actual output constraints of new energy, curtailment of wind and solar power constraints, and wind-solar-thermal power bundling ratio constraints.

[0026] 2.1) The objective function is

[0027]

[0028] Among them, z i,t,d This represents the operating status of thermal power unit i at time t on day d, where 1 indicates operation and 0 indicates shutdown; S i The start-up and shutdown costs of thermal power units; C i The power generation cost of thermal power unit i; This represents the amount of wind curtailed by the wind turbine at time t on day d. c represents the amount of solar energy wasted by the photovoltaic power plant at time t on day d; PV Cost of wasted light; c W Cost of wind curtailment;

[0029] 2.2) The form of power balance constraints is as follows:

[0030]

[0031] in, The predicted load curve for day d at time t; The planned power transmission for day d at time t;

[0032] 2.3) The form of the ramp-up constraint for thermal power plants is as follows:

[0033]

[0034]

[0035] in, and These represent the uphill and downhill ramp rates of thermal power unit i, respectively; Θ TH This is a collection of thermal power units in Northwest China. P i TH This represents the minimum active power output of a thermal power unit. This indicates the maximum active power output of a thermal power unit; z i,t,d This represents the operating status of thermal power unit i at time t on day d. A value of 1 indicates that the unit is running and a value of 0 indicates that it is shut down.

[0036] 2.4) The form of the continuous start-up and shutdown time constraint for thermal power units is as follows:

[0037]

[0038]

[0039] Among them, T U and T D These are the minimum continuous start-up time and minimum continuous shutdown time of the unit; and The time that unit i has been running and the duration of continuous downtime on day d at time t can be represented by state variables.

[0040] z i,t,d (t=2...T,d=1...D,i∈Θ TH )express:

[0041] 2.5) The form of the minimum technical output constraint is as follows:

[0042]

[0043] Where, k D This is the minimum technical output coefficient for thermal power units;

[0044] 2.6) The form of constraint on the actual output of new energy sources is as follows:

[0045]

[0046]

[0047] Wherein, Ω represents the set of wind turbine units in the sending-end region; Ψ represents the set of photovoltaic power plants in the sending-end region; The predicted output of wind turbine j at time t on day d; The predicted output of photovoltaic power station k at time t on day d; The actual output of wind turbine j at time t on day d; The actual output of photovoltaic power station k at time t on day d;

[0048] 2.7) The form of wind and solar curtailment constraints is as follows:

[0049]

[0050]

[0051] in, This represents the amount of wind curtailed by the wind turbine at time t on day d. N represents the amount of solar energy wasted by the photovoltaic power plant at time t on day d; PV N represents the number of photovoltaic power plants. W The number of wind turbine units;

[0052] 2.8) The form of the bundled ratio constraint for wind, solar, and thermal power is as follows:

[0053]

[0054]

[0055] in, This represents the total monthly electricity transmitted by photovoltaic power plants. α represents the total monthly power transmitted by wind power; α and β represent the lower limits of the bundled ratio of photovoltaic power and thermal power, and the lower limit of the bundled ratio of wind power and thermal power, respectively.

[0056] In step 2.5), k D This is the minimum technical output coefficient for thermal power units, set at 0.3 to 0.5;

[0057] In step 2.8), α and β are related to the ratio of new energy to thermal power unit capacity. In principle, the bundling ratio should not be higher than the ratio of new energy to thermal power unit capacity, and should not be lower than the ratio according to the monthly new energy consumption target, i.e., the curtailment rate.

[0058] In step 4), the transaction price ρ of new energy vehicles at the grid is... RE The transaction price of thermal power grid connection ρ TH The transaction price is obtained by market entities through centralized bidding or independent negotiation; the transaction price for centralized bidding is determined by a unified clearing price or a high-low matching price; the transaction price for independent negotiation is executed according to the agreement between the two parties in the contract.

[0059] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0060] This invention establishes a monthly transaction optimization model for bundling wind, solar, and thermal power between provinces. It scientifically optimizes and calculates the bundling ratio of new energy and thermal power under constraints such as peak shaving and wind / solar curtailment. It comprehensively considers the characteristics of new energy power generation, supply and demand matching, the power generation interests of power generators in sending regions, and the price acceptability of receiving regions. It calculates the comprehensive price and landing price of bundled transactions, which can discover the value of the electricity market and provide more scientific price guidance for market participants and market entities. Compared with previous methods, it is more comprehensive and scientific.

[0061] Furthermore, this invention selects typical operating modes of the power system based on different seasonal characteristics, and calculates the bundling ratio and transaction price under different new energy characteristics in different seasons. Therefore, this invention not only considers the temporal resource variation characteristics of new energy brought about by seasonal changes, but also, compared with existing technologies that only consider the bundling and transmission of wind power and thermal power, considers the resource complementarity and mutual assistance characteristics of multiple types of energy such as wind, solar and thermal power in the geographical space of the sending-end region. It obtains the bundling ratio and transaction price under different regional and provincial characteristics in different typical seasons, and has strong versatility and engineering applicability.

[0062] Meanwhile, the minimum technical output coefficient used in this invention is given by the planners. This invention can provide bundling ratios and transaction prices under different minimum technical output coefficients, providing important theoretical references and transaction price schemes for transaction decision-makers. Attached Figure Description

[0063] Figure 1 This is a flowchart of the method steps of the present invention. Detailed Implementation

[0064] The specific embodiments and working principles of the present invention will be further described in detail below with reference to the accompanying drawings.

[0065] See Figure 1 A pricing method for bundled transactions of new energy and thermal power that considers the complementary nature of resources includes three parts: formulating a bundled transmission transaction strategy, optimizing the bundling ratio of new energy and thermal power, and calculating the bundled transaction price. Specifically, it consists of the following steps:

[0066] (a) Formulate a bundled delivery transaction strategy:

[0067] 1. Define market participants and market entities: The market participants for bundled transactions of new energy and thermal power include market entities, power trading institutions, and power dispatching institutions. Market entities include wind power and photovoltaic new energy power generation companies, thermal power generation companies, and power grid companies.

[0068] 2. Definition of Bundled Transaction Type: Bundled transactions of new energy and thermal power are inter-provincial bundled transactions. That is, when the interconnected regional power grid has a demand for the transmission of clean energy, the inter-provincial interconnection transmission channels in the sending region, the characteristics of new energy power generation in the relevant provinces, and the power generation plans of thermal power generation enterprises in the relevant provinces are comprehensively considered. Based on the electricity transaction price negotiated by centralized bidding or bilateral negotiation, new energy and thermal power are bundled in a certain proportion to carry out cross-regional transactions, taking into account the stability of the transmission transactions and the reasonableness of the transmission transaction prices.

[0069] 3. Formulate basic strategies for bundled transmission of new energy and thermal power: In bundled transmission of wind and solar new energy and thermal power, when the total power generation of new energy and thermal power exceeds the transmission capacity, due to the operating characteristics of new energy, thermal power units must reduce their output when the output of new energy is increased. If the power generation of new energy exceeds the total transmission power, the total transmission power will be controlled within the transmission capacity through curtailment. When the output of new energy decreases, the output of thermal power needs to be increased to make up for the difference between the DC transmission power and the reduced power of new energy, and the maximum value of thermal power output must be reached. Based on the above trading operation strategy, all market participants and entities participate in the bundled transmission of new energy and thermal power.

[0070] (II) Optimize the bundling ratio of new energy and thermal power:

[0071] 4. Set the number of trading days D and the daily trading period T, select the typical characteristic season of power system operation, and input the power system information, including the regional total load forecast curve. Forecast curves of wind and solar power output and Outbound connection line plan curve

[0072] 5. Based on the bundled transmission transaction operation strategy in step 3 and the information of the power system input in step 4, establish a monthly bundled transaction optimization model for inter-provincial wind, solar and thermal power. The monthly bundled transaction optimization model takes the minimum power generation cost in the sending region as the objective function, including the power generation cost of thermal power and the cost of curtailment of wind and solar power. The constraints of the model include power balance constraints, thermal power ramp-up constraints, unit continuous start-up and shutdown time constraints, minimum technical output constraints, actual output constraints of new energy, wind and solar curtailment constraints, and wind-solar-thermal power bundling ratio constraints.

[0073] 5.1) The objective function is as follows:

[0074]

[0075] Among them, z i,t,d This represents the operating status of thermal power unit i at time t on day d, where 1 indicates operation and 0 indicates shutdown; S i The start-up and shutdown costs of thermal power units; C iThe power generation cost of thermal power unit i; This represents the amount of wind curtailed by the wind turbine at time t on day d. c represents the amount of solar energy wasted by the photovoltaic power plant at time t on day d; PV Cost of wasted light; c W Cost of wind curtailment; N represents the output of thermal power unit i at time t on day d; TH The number of thermal power units;

[0076] 5.2) The form of power balance constraints is as follows:

[0077]

[0078] in, The predicted load curve for day d at time t; The planned external power transmission for day d at time t; N PV N represents the number of photovoltaic power plants. W The number of wind turbine units; The actual output of wind turbine j at time t on day d; The actual output of photovoltaic power station k at time t on day d;

[0079] In the power balance constraint of the sending-end region, the spatial complementarity and mutual assistance between different energy types in the provinces of the sending-end region are considered, so as to meet the power demand in the region and the power transmitted to other regions, so as to achieve supply and demand matching.

[0080] 5.3) The form of the ramping constraint for thermal power plants is as follows:

[0081]

[0082]

[0083] in, and These represent the uphill and downhill ramp rates of thermal power unit i, respectively; Θ TH This is a collection of thermal power units in Northwest China. P i TH This represents the minimum active power output of a thermal power unit. This indicates the maximum active power output of a thermal power unit; z i,t,d This represents the operating status of thermal power unit i at time t on day d. A value of 1 indicates that the unit is running and a value of 0 indicates that it is shut down.

[0084] 5.4) The form of the continuous start-up and shutdown time constraint for thermal power units is as follows:

[0085]

[0086]

[0087] Among them, T U and T D These are the minimum continuous start-up time and minimum continuous shutdown time of the unit; and The time that unit i has been running and the duration of continuous downtime on day d at time t can be represented by state variables.

[0088] z i,t,d (t=2...T,d=1...D,i∈Θ TH )express:

[0089]

[0090]

[0091] 5.5) The form of the minimum technical output constraint is as follows:

[0092]

[0093] Where, k D This is the minimum technical output coefficient of thermal power units, and also the peak-shaving coefficient of thermal power. The minimum technical output coefficient is generally set at 0.3 to 0.5.

[0094] 5.6) The form of constraint on the actual output of new energy sources is as follows:

[0095]

[0096]

[0097] Wherein, Ω represents the set of wind turbine units in the sending-end region; Ψ represents the set of photovoltaic power plants in the sending-end region; The predicted output of wind turbine j at time t on day d; The predicted output of photovoltaic power station k at time t on day d; The actual output of wind turbine j at time t on day d; The actual output of photovoltaic power station k at time t on day d;

[0098] 5.7) The form of wind and solar curtailment constraints is as follows:

[0099]

[0100]

[0101] in, This represents the amount of wind curtailed by the wind turbine at time t on day d. This represents the amount of solar energy wasted by the photovoltaic power plant at time t on day d.

[0102] 5.8) The form of the bundled ratio constraint for wind, solar, and thermal power is as follows:

[0103]

[0104]

[0105] Among them, among them, This represents the total monthly electricity transmitted by photovoltaic power plants. The total monthly power transmitted by wind power; α and β are the lower limits of the bundling ratio of photovoltaic power and thermal power, respectively; α and β are related to the lower limit of the bundling ratio of new energy and thermal power, and are related to the installed capacity ratio of new energy and thermal power units. In principle, the bundling ratio should not be higher than the installed capacity ratio of new energy and thermal power units, and should not be lower than the ratio according to the monthly new energy consumption target, i.e., the curtailment rate.

[0106] 6. Based on the mixed-integer linear programming model established in step 5, use optimization solvers such as CPLEX to solve the monthly transaction optimization model for bundled wind, solar, and thermal power generation between provinces, obtaining the total renewable energy generation and total thermal power generation of the regional power grid. Then, use the total photovoltaic power generation... Total wind power generation and thermal power generation The formula for determining the bundled ratio of new energy and thermal power is as follows:

[0107]

[0108] The above is the modeling of the bundling ratio of the power grid in the sending-end region. The bundling ratio of new energy and thermal power in each province of the sending-end region is obtained by modeling and calculating in the same way.

[0109] (III) Calculating the bundled transaction price:

[0110] 7. Based on the optimized new energy and thermal power bundling ratio η and new energy grid connection transaction price ρ obtained in step 6... RE The transaction price of thermal power grid connection ρ TH The bundled transaction price for the sending region is obtained from the following formula:

[0111] ρ f =ρ RE *η+ρ TH *(1-η)

[0112] New energy on-grid transaction price ρ RE The transaction price of thermal power grid connection ρ TH The price is obtained by market participants through centralized bidding or independent negotiation. The price for centralized bidding is determined by a unified clearing price or a high-low matching system; the price for bilateral negotiation is executed according to the agreement between the two parties in the contract. 8. Based on the bundled transaction composite price ρ obtained in step 7 for the sending region... fAnd the transmission price ρ of inter-regional and inter-provincial DC power transmission channels. ω The landed price at the receiving end of the DC transmission line can be obtained from the following formula:

[0113] ρ t =ρ f +ρ ω .

[0114] Taking a power grid in a specific sending region as an example, this sending-end power system includes five provinces: A, B, C, D, and E. The geographical distribution of wind power, photovoltaic power, and thermal power varies across the region. Table 1 shows the monthly bundled renewable energy to thermal power ratios for the sending-end region and its provinces during different seasons (January, April, July, and October), considering a minimum technical output of 50%. Table 2 shows the landing prices of electricity delivered from the sending-end region to the receiving region via a cross-regional, cross-provincial DC transmission line (Line A) to other provinces and cities. The results show that this method can optimize the bundled transmission ratio and the bundled transmission transaction price. Furthermore, the bundled transmission transaction price is lower than the actual landing price, attracting receiving regions to purchase electricity to absorb renewable energy.

[0115] Table 1. Calculation results of the optimal ratio of wind and solar power bundling (sum of wind and solar power and ratio of thermal power bundling)

[0116]

[0117]

[0118] Table 2. Landed Price, RMB / MWh

[0119]

Claims

1. A method for pricing bundled transactions of new energy and thermal power, considering complementary characteristics of resources, characterized in that, It comprises the following steps: 1) Formulate the basic strategy of new energy and thermal power bundling and external sending transaction: in the bundling and external sending of wind and light new energy and thermal power, when the total power generation of new energy and thermal power exceeds the external sending transmission capacity, due to the operation characteristics of new energy, considering the increase of new energy output for sending, the thermal power unit must reduce the output to run, if the new energy power generation output exceeds the total external sending transmission power, the total external sending power is controlled within the transmission power by abandoning the thermal power; when the new energy output is reduced, the thermal power output needs to be increased until the maximum value of the thermal power to make up for the difference between the direct current external sending power and the reduced power of new energy; based on the above-mentioned bundling and external sending transaction operation strategy, each market member and main body participates in the new energy and thermal power bundling and external sending transaction; 2) Set the trading days D and the daily trading period T, select the typical characteristic season of power system operation, input the information of power system, including the regional total load prediction curve , the prediction curve of wind power and photovoltaic output , and , the planned curve of outgoing tie-line ; 3) According to the bundling and external sending transaction operation strategy of step 1) and the information of the input power system of step 2), a monthly bundling transaction optimization model of inter-provincial wind, light new energy and thermal power bundling is established and the model is solved, the total power generation of new energy and the total power generation of thermal power, the total power generation of wind power and the total power generation of thermal power of the regional power grid are obtained, the bundling proportion of new energy and thermal power is obtained, the monthly bundling transaction optimization model of inter-provincial wind, light new energy and thermal power bundling takes the minimum generation cost of the sending end area as the objective function, including the generation cost of thermal power and the cost of abandoned wind and light, the constraints of the model include power balance constraint, thermal power climbing constraint, thermal power unit continuous start-stop time constraint, minimum technical output constraint, new energy actual output constraint, abandoned wind and light constraint and wind, light and thermal power bundling proportion constraint; 4) the new energy and thermal power bundling ratio obtained by optimization in step 3) and the new energy on-grid transaction price and the thermal power on-grid transaction price The sending end area bundling transaction comprehensive price is obtained by the following formula: 5) The bundled transaction integrated price of the sending area obtained according to step 4) , and the power transmission price of the power resource cross-regional and cross-provincial DC channel The landing price of the receiving area of the bundled DC channel sending is obtained by the following formula: 。 2.The new energy and thermal power bundled transaction pricing method considering resource complementary characteristics according to claim 1, characterized in that: In the step 1), the market members of new energy and thermal power bundling transaction include market main body, power transaction agency and power dispatching agency, the market main body includes wind power, photovoltaic new energy power generation enterprise, thermal power generation enterprise and power grid enterprise. 3.The new energy and thermal power bundled transaction pricing method considering resource complementary characteristics according to claim 1, characterized in that: In the step 1), the new energy and thermal power bundling transaction is inter-provincial bundling transaction, that is, when there is clean energy external sending demand in interconnected regional power grid, the transmission channel of inter-provincial tie line in the sending end area, the new energy generation characteristics of related provinces, the generation plan of thermal power generation enterprise in related provinces are comprehensively considered, according to the centralized bidding or bilateral consultation of electric energy transaction price, the new energy and thermal power are bundled and carried out cross-regional transaction according to a certain proportion, the stability of external sending transaction and the rationality of external sending transaction price are considered.

4. The new energy and thermal power bundled transaction pricing method considering resource complementary characteristics according to claim 1, characterized in that: In the step 2), the bundling transaction time scale is one month, the typical characteristic season of power system operation is a month of spring, summer, autumn and winter, the transaction days D is set to 31 days, and the daily transaction period T is 24 hours.

5. The new energy and thermal power bundled transaction pricing method considering resource complementary characteristics according to claim 1, characterized in that: In the step 3): 1) The objective function is ； wherein, is the start-up state of the thermal power unit i at time t on day d, with a value of 1 indicating start-up and a value of 0 indicating shutdown; is the start-up and shutdown cost of the thermal power unit; is the power generation cost of the thermal power unit i; is the amount of wind power curtailment of the wind power unit at time t on day d; is the amount of light curtailment of the photovoltaic power station at time t on day d; is the light curtailment cost; is the wind curtailment cost; 2) The form of power balance constraint is wherein, is a predicted load forecast curve at day d and time t; is an unplanned power delivery at day d and time t; 3) The form of thermal power climbing constraint is wherein, and are the upper and lower ramping rates of the thermal power unit i, respectively; is the set of thermal power units in the northwest region; denotes the minimum active power output of the thermal power unit, denotes the maximum active power output of the thermal power unit; is the on-off state of the thermal power unit i at time t on day d, with a value of 1 indicating on and a value of 0 indicating off. 4) The form of thermal power unit continuous start-stop time constraint is wherein, and are the minimum continuous on-time and minimum continuous off-time of the unit; and are the time the unit i has been on and off continuously at time t on day d. 5) The form of minimum technical output constraint is wherein, is the minimum technical output coefficient of the thermal power unit; 6) The form of new energy actual output constraint is Wherein, Ω is the wind turbine set of the sending end area; Ψ is the photovoltaic power station set of the sending end area; is the predicted output of wind turbine j on the dth day t time; is the predicted output of photovoltaic power station k on the dth day t time; is the actual output of wind turbine j on the dth day t time; is the actual output of photovoltaic power station k on the dth day t time; 7) The form of abandoned wind and light constraint is wherein, is the amount of wind power abandoned by the wind turbine at time t on day d; is the amount of light abandoned by the photovoltaic power station at time t on day d; is the number of photovoltaic power stations; is the number of wind turbines; 8) The form of wind, light and thermal power bundling proportion constraint is Wherein, is the total monthly delivered electricity of photovoltaic power; is the total monthly delivered electricity of wind power; and α and β are the lower limits of the bundling ratios of photovoltaic power and thermal power and the lower limits of the bundling ratios of wind power and thermal power, respectively.

6. The new energy and thermal power bundled transaction pricing method considering resource complementary characteristics according to claim 5, characterized in that: The step 5) is, The minimum technical output coefficient of the thermal power unit is set to 0.3-0.

5.

7. The new energy and thermal power bundled transaction pricing method considering resource complementary characteristics according to claim 5, characterized in that: In the step 8), α and β are related to the capacity proportion of new energy and thermal power unit, in principle, the bundling proportion is not higher than the capacity proportion of new energy and thermal power unit, and is not lower than the proportion according to the monthly new energy consumption target task, that is, the proportion of abandoned power. 8.The new energy and thermal power bundled transaction pricing method considering resource complementary characteristics of claim 1, wherein: The transaction price of the new energy on-grid in step 4 The transaction price of the thermal power on-grid is obtained by market subjects through centralized bidding or independent negotiation; the transaction price of centralized bidding is determined according to unified clearing price or high-low matching; the transaction price of independent negotiation is executed according to the contract agreed by both parties.

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