Power transaction data processing method and device based on coal consumption indexes

Abstract

The invention discloses a coal consumption index-based power transaction data processing method and device, relates to the technical field of power systems, and mainly aims to solve the problem that the existing power transaction data processing requirements of coal consumption indexes cannot be met. Comprising the following steps: determining an optimization target of the minimum cost of to-be-processed power transaction data, and obtaining a coal consumption index; constructing an inter-provincial power transaction processing model in combination with the coal consumption indexes, and constructing a carbon emission transaction mathematical model; and after power transaction data is collected, performing joint solution on the inter-provincial power transaction processing model and the carbon emission transaction mathematical model based on the optimization target and the power transaction data to obtain a power transaction processing result, the constraint conditions of the inter-provincial power transaction processing model and the carbon emission transaction mathematical model comprise a total coal consumption upper limit, a total carbon emission upper limit, inter-provincial transaction capacity upper and lower limits, and inter-provincial channel conveying capacity upper and lower limits.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to a method and device for processing electric power trading data based on coal consumption indicators. Background Art

[0002] Coal-fired power is the most mature power generation method at present. Compared with other renewable energy sources, coal-fired power is less affected by extreme weather. Its stable supply is of great significance to ensuring national energy security. Changes in coal prices will affect the cost of power production, thereby affecting the bidding strategy and transaction structure of power generation companies in the power market, resulting in low efficiency in processing power transaction data.

[0003] At present, the existing power trading data processing usually relies solely on electricity consumption data or renewable energy power generation data as the data basis for trading data processing. However, in the coal-fired power trading scenario, electricity consumption data or renewable energy power generation data cannot effectively serve as the basis for power trading data processing, and cannot meet the accuracy requirements of power trading data processing in the coal-fired power scenario. Therefore, a power trading data processing method based on coal consumption indicators is urgently needed to solve the above technical problems. Summary of the invention

[0004] In view of this, the present invention provides a method and device for processing electricity trading data based on coal consumption indicators, the main purpose of which is to solve the problem that the existing electricity trading data processing needs cannot meet the coal consumption indicators.

[0005] According to one aspect of the present invention, a method for processing power transaction data based on coal consumption indicators is provided, comprising:

[0006] Determine the optimization goal of minimizing the cost of processing the power transaction data to be processed and obtain the coal consumption index;

[0007] Combined with the coal consumption index, an inter-provincial electricity trading processing model is constructed, and a carbon emission trading mathematical model is constructed;

[0008] After collecting the electricity trading data, the inter-provincial electricity trading processing model and the carbon emission trading mathematical model are jointly solved based on the optimization objective and the electricity trading data to obtain the electricity trading processing results. The constraints of the inter-provincial electricity trading processing model and the carbon emission trading mathematical model include the upper limit of the total coal consumption, the upper limit of the total carbon emissions, the upper and lower limits of the inter-provincial trading capacity, and the upper and lower limits of the inter-provincial channel transmission capacity.

[0009] Furthermore, the construction of an inter-provincial power transaction processing model in combination with the coal consumption index includes:

[0010] The inter-provincial electricity transaction processing model is constructed based on the inter-provincial transaction cost data, electricity value, coal transaction volume value, consumption value, price coefficient and penalty coefficient in the coal consumption index, and the first constraint condition is determined. The first constraint condition is used to constrain the inter-provincial electricity transaction processing model to keep the coal consumption index and the power generation in a balanced state when solving the model.

[0011] Furthermore, the inter-provincial power transaction processing model is characterized as follows:

[0012]

[0013] Wherein, F is the total cost value of the inter-provincial electricity trading market of the target province, c Ebuy,t is the unit value of electricity purchased by the target province at time t, E buy,t is the amount of electricity purchased by the target province at time t, c Esell,t is the unit value of electricity sold by the target province at time t, E sell,t is the electricity value sold by the target province at time t, c w,t is the unit price of coal transferred at time t, W buy,t is the coal transfer value that the target province is allowed to purchase within the transfer index range at time t, W sell,t is the coal transfer value allowed to be sold within the transfer quota range of the target province, φ is the coal consumption penalty coefficient, W ex is the consumption value exceeding the upper limit of coal consumption, c o It is other costs including power transmission losses.

[0014] Furthermore, the construction of a carbon emission trading mathematical model includes:

[0015] A carbon emissions trading mathematical model is constructed based on the total cost of carbon trading, unit cost of carbon trading, total carbon emissions, carbon emissions share, unit profit of carbon emissions, total carbon emissions share, carbon penalty coefficient, upper limit emissions, consumption index emission ratio, and trading tax coefficient, and a second constraint condition is determined. The second constraint condition is used to constrain the carbon emissions trading mathematical model to keep the total emissions within a preset threshold range of carbon emissions when solving the model.

[0016] Furthermore, the carbon emission trading mathematical model is characterized as follows: Among them, P is the total cost of the target province to participate in carbon trading, c b,t is the unit cost of the target province at time t by purchasing carbon emission rights allocation, C 2buy,t is the total amount of carbon emission shares purchased at time t, c s,t is the unit profit from selling carbon emission rights allocation at time t, C 2sell,t is the total amount of carbon emission shares sold at time t, λ is the carbon penalty coefficient, Qex is the amount of emissions exceeding the upper limit of carbon emissions, ω is the proportional coefficient of the increase in carbon emissions caused by the increase in coal consumption after purchasing the coal consumption index, T x It is the total tax coefficient for carbon emission rights allocation trading.

[0017] Furthermore, after the power transaction data is collected, the inter-provincial power transaction processing model and the carbon emission trading mathematical model are jointly solved based on the optimization target and the power transaction data, and the power transaction processing results obtained include:

[0018] The inter-provincial power transaction processing model and the carbon emission trading mathematical model are added together, and the target data parsed from the power transaction data are used as model parameters and the optimization target are used to perform model solution calculation to obtain the power transaction processing result.

[0019] Furthermore, the inter-provincial power transaction processing model and the carbon emission trading mathematical model are added together to represent:

[0020]

[0021] According to another aspect of the present invention, there is provided a device for processing power transaction data based on coal consumption index, comprising:

[0022] A determination module, used to determine an optimization target of minimizing the cost of power transaction data to be processed and obtain coal consumption indicators;

[0023] A construction module is used to construct an inter-provincial power transaction processing model in combination with the coal consumption index, and to construct a carbon emission trading mathematical model;

[0024] The processing module is used to jointly solve the inter-provincial electricity trading processing model and the carbon emission trading mathematical model based on the optimization target and the electricity trading data after collecting the electricity trading data, so as to obtain the electricity trading processing results. The constraints of the inter-provincial electricity trading processing model and the carbon emission trading mathematical model include the upper limit of the total coal consumption, the upper limit of the total carbon emissions, the upper and lower limits of the inter-provincial trading capacity, and the upper and lower limits of the inter-provincial channel transmission capacity.

[0025] Furthermore, the construction module is specifically used to construct the inter-provincial electricity transaction processing model based on the inter-provincial transaction cost data, electricity value, coal transaction volume value, consumption value, price coefficient, and penalty coefficient in the coal consumption index, and determine the first constraint condition, which is used to constrain the inter-provincial electricity transaction processing model to keep the coal consumption index and power generation in a balanced state when solving the model.

[0026] Furthermore, the inter-provincial power transaction processing model is characterized as follows:

[0027]

[0028] Wherein, F is the total cost value of the inter-provincial electricity trading market of the target province, c Ebuy,t is the unit value of electricity purchased by the target province at time t, E buy,t is the amount of electricity purchased by the target province at time t, c Esell,t is the unit value of electricity sold by the target province at time t, E sell,t is the electricity value sold by the target province at time t, c w,t is the unit price of coal transferred at time t, W buy,t is the coal transfer value that the target province is allowed to purchase within the transfer index range at time t, W sell,t is the coal transfer value allowed to be sold within the transfer quota range of the target province, φ is the coal consumption penalty coefficient, W ex is the consumption value exceeding the upper limit of coal consumption, c o It is other costs including power transmission losses.

[0029] Furthermore, the construction module is specifically used to construct a carbon emission trading mathematical model including:

[0030] A carbon emissions trading mathematical model is constructed based on the total cost of carbon trading, unit cost of carbon trading, total carbon emissions, carbon emissions share, unit profit of carbon emissions, total carbon emissions share, carbon penalty coefficient, upper limit emissions, consumption index emission ratio, and trading tax coefficient, and a second constraint condition is determined. The second constraint condition is used to constrain the carbon emissions trading mathematical model to keep the total emissions within a preset threshold range of carbon emissions when solving the model.

[0031] Furthermore, the carbon emission trading mathematical model is characterized as follows: Among them, P is the total cost of the target province to participate in carbon trading, c b,t is the unit cost of the target province at time t by purchasing carbon emission rights allocation, C 2buy,t is the total amount of carbon emission shares purchased at time t, c s,t is the unit profit from selling carbon emission rights allocation at time t, C 2sell,t is the total amount of carbon emission shares sold at time t, λ is the carbon penalty coefficient, Q ex is the amount of emissions exceeding the upper limit of carbon emissions, ω is the proportional coefficient of the increase in carbon emissions caused by the increase in coal consumption after purchasing the coal consumption index, T x It is the total tax coefficient for carbon emission rights allocation trading.

[0032] Furthermore, the processing module is specifically used to add the inter-provincial electricity trading processing model and the carbon emission trading mathematical model, and use the target data parsed from the electricity trading data as model parameters and the optimization target to perform model solution calculations to obtain the electricity trading processing result.

[0033] Furthermore, the inter-provincial power transaction processing model and the carbon emission trading mathematical model are added together to represent:

[0034]

[0035]

[0036] According to another aspect of the present invention, there is provided a storage medium storing at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the above-mentioned method for processing electricity trading data based on coal consumption indicators.

[0037] According to another aspect of the present invention, there is provided a terminal, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0038] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned power transaction data processing method based on coal consumption indicators.

[0039] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0040] The present invention provides a method and device for processing electricity trading data based on coal consumption indicators. Compared with the prior art, the embodiments of the present invention determine the optimization target of minimizing the cost of electricity trading data to be processed and obtain the coal consumption indicator; construct an inter-provincial electricity trading processing model in combination with the coal consumption indicator, and construct a carbon emission trading mathematical model; after collecting the electricity trading data, the inter-provincial electricity trading processing model and the carbon emission trading mathematical model are jointly solved based on the optimization target and the electricity trading data to obtain the electricity trading processing result, thereby achieving the purpose of effectively processing the electricity trading data combined with the coal consumption indicator and meeting the processing requirements of the electricity trading data in the coal-fired power scenario.

[0041] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0043] Figure 1 A flow chart of a method for processing power transaction data based on coal consumption indicators provided by an embodiment of the present invention is shown;

[0044] Figure 2 A schematic diagram of inter-provincial power transaction data processing provided by an embodiment of the present invention is shown;

[0045] Figure 3 A block diagram of a power transaction data processing device based on coal consumption indicators provided by an embodiment of the present invention is shown;

[0046] Figure 4 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0047] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0048] The embodiment of the present invention provides a method for processing power transaction data based on coal consumption indicators, such as Figure 1 As shown, the method includes:

[0049] 101. Determine the optimization goal of minimizing the cost of processing the power transaction data to be processed and obtain the coal consumption index;

[0050] 102. Construct an inter-provincial electricity trading processing model based on the coal consumption index, and construct a carbon emission trading mathematical model;

[0051] 103. After the power trading data is collected, the inter-provincial power trading processing model and the carbon emission trading mathematical model are jointly solved based on the optimization target and the power trading data to obtain the power trading processing result.

[0052] In the embodiment of the present invention, the coupling relationship between the power market, coal consumption and carbon emissions is multi-layered, including market mechanisms, policy influences and technological progress. The price signals and demand changes in the power market directly affect the fuel selection of power generation companies. When the demand for electricity is high or the price of electricity rises, power generation companies may tend to increase the use of coal to meet market demand. This choice will lead to an increase in coal consumption, thereby increasing carbon emissions. Carbon emission policies (such as carbon taxes or carbon trading mechanisms) have an impact on the power market, prompting power generation companies to reduce the use of coal and turn to cleaner energy. For example, the carbon trading mechanism encourages companies to reduce carbon emissions by limiting carbon emission quotas, thereby affecting coal consumption. In addition, the government's energy policies (such as renewable energy subsidies) will also affect the power market, making renewable energy more competitive in the market, thereby reducing coal use and carbon emissions. This coupling relationship is of great significance for formulating reasonable energy policies, promoting sustainable development and responding to climate change. Therefore, first determine the optimization goal of minimizing the cost of power trading data processing to be performed, and obtain the coal consumption index. The optimization goal is the functional relationship between the inter-provincial power trading market cost and the profit from electricity sales, the profit from coal consumption index, the profit from carbon quota sales, the cost of purchasing electricity, the cost of purchasing coal consumption index, the cost of purchasing carbon quota, the penalty cost for coal consumption, the penalty cost for carbon emission, the cost of increased carbon emission caused by purchasing coal, carbon tax, and other costs. In a specific implementation scenario, the inter-provincial power trading market cost = -profit from electricity sales -profit from coal consumption index -profit from carbon quota sales + cost of purchasing electricity + cost of purchasing coal consumption index + cost of purchasing carbon quota + cost of purchasing carbon quota + penalty cost for coal consumption + penalty cost for carbon emission + cost of increased carbon emission caused by purchasing coal + carbon tax + other costs. The embodiments of the present invention do not make specific limitations.

[0053] It should be noted that the constraints of the inter-provincial electricity trading processing model and the carbon emission trading mathematical model include the upper limit of the total coal consumption, the upper limit of the total carbon emissions, the upper and lower limits of the inter-provincial trading capacity, and the upper and lower limits of the inter-provincial channel transmission capacity.

[0054] In another embodiment of the present invention, for further definition and explanation, the step of constructing an inter-provincial power transaction processing model in combination with the coal consumption index includes:

[0055] The inter-provincial electricity transaction processing model is constructed based on the inter-provincial transaction cost data, electricity value, coal transaction volume value, consumption value, price coefficient and penalty coefficient in the coal consumption index, and the first constraint condition is determined. The first constraint condition is used to constrain the inter-provincial electricity transaction processing model to keep the coal consumption index and the power generation in a balanced state when solving the model.

[0056] In the embodiment of the present invention, based on the three important factors of power market, coal consumption and carbon emission, the power trading market is a platform for both supply and demand parties to buy and sell power, aiming to promote the efficient allocation of power resources and market competition. The development of the power trading market helps to improve the allocation efficiency of power resources, reduce costs, increase market competition, promote the development of clean energy, and promote the transformation and upgrading of the power industry.

[0057] First, the transfer price and transaction volume of coal consumption indicators are converted into the power generation of the purchasing provinces, and a conversion mechanism is established to build the relationship between coal consumption and power generation:

[0058]

[0059] Among them, P add is the coal consumption index purchased by a province, M buy is the amount of electricity generated by the province through the purchase of coal consumption quotas, C coal is the coal consumption per unit of electricity. Furthermore, the inter-provincial power transaction processing model is constructed based on the inter-provincial transaction cost data, electricity value, coal transaction value, consumption value, price coefficient, and penalty coefficient in the coal consumption index. Specifically, the inter-provincial power transaction processing model is characterized as follows:

[0060]

[0061] Wherein, F is the total cost value of the inter-provincial electricity trading market of the target province, c Ebuy,t is the unit value of electricity purchased by the target province at time t, E buy,t is the amount of electricity purchased by the target province at time t, c Esell,t is the unit value of electricity sold by the target province at time t, E sell,t is the electricity value sold by the target province at time t, c w,t is the unit price of coal transferred at time t, W buy,t is the coal transfer value that the target province is allowed to purchase within the transfer index range at time t, W sell,t is the coal transfer value allowed to be sold within the transfer quota range of the target province, φ is the coal consumption penalty coefficient, W ex is the consumption value exceeding the upper limit of coal consumption, c o It is other costs including power transmission losses.

[0062] It should be noted that in order to improve the effectiveness of power transaction data processing, a first constraint condition is further determined, which is used to constrain the inter-provincial power transaction processing model to keep the coal consumption index and power generation in a balanced state when solving. Specifically, the first constraint condition is:

[0063] Emin,t ≤E buy,t ≤E max,t ;

[0064]

[0065] C cmin ≤E tmax ≤C cmax ;

[0066]

[0067] Among them, E max,t With E min,t are the upper and lower limits of inter-provincial transaction capacity, W ini is the initial coal holdings of the target province, Z Cmax is the upper limit of coal consumption in the target province, E tmax is the maximum transmission power of inter-provincial power trading, C cmax With C cmin are the upper and lower limits of the inter-provincial channel transmission capacity, so as to obtain The constraint expression is to increase the power balance of power generation by purchasing coal consumption indicators.

[0068] In another embodiment of the present invention, for further definition and explanation, the steps of constructing a carbon emission trading mathematical model include:

[0069] A carbon emissions trading mathematical model is constructed based on the total cost of carbon trading, unit cost of carbon trading, total carbon emissions, carbon emissions share, unit profit of carbon emissions, total carbon emissions share, carbon penalty coefficient, upper limit emissions, consumption index emission ratio, and trading tax coefficient, and a second constraint condition is determined. The second constraint condition is used to constrain the carbon emissions trading mathematical model to keep the total emissions within a preset threshold range of carbon emissions when solving the model.

[0070] In the embodiment of the present invention, since the core of carbon trading is the trading of carbon emission quotas, these quotas represent a certain amount of greenhouse gas emission rights, and the emission trading system is established by the government or regional agencies to allocate and manage emission quotas and supervise the conduct of transactions. The goal of carbon trading is to promote global emission reductions through economic incentive mechanisms and to mitigate the impact of climate change to a certain extent. Furthermore, in the embodiment of the present invention, a carbon emission trading mathematical model is constructed based on the total cost of carbon trading, the unit cost of carbon trading, the total carbon emissions, the carbon emission share, the unit profit of carbon emissions, the total carbon emission share, the carbon penalty coefficient, the upper limit emission, the consumption index emission ratio, and the transaction tax coefficient. The carbon emission trading mathematical model is characterized as follows: Among them, P is the total cost of the target province to participate in carbon trading, c b,t is the unit cost of the target province at time t by purchasing carbon emission rights allocation, C2buy,t is the total amount of carbon emission shares purchased at time t, c s,t is the unit profit from selling carbon emission rights allocation at time t, C 2sell,t is the total amount of carbon emission shares sold at time t, λ is the carbon penalty coefficient, Q ex is the amount of emissions exceeding the upper limit of carbon emissions, ω is the proportional coefficient of the increase in carbon emissions caused by the increase in coal consumption after purchasing the coal consumption index, T x It is the total tax coefficient for carbon emission rights allocation trading.

[0071] It should be noted that in order to accurately solve the mathematical model of carbon emission trading, the constraints of carbon trading are considered. The total carbon emissions of a province cannot exceed the carbon emission rights it owns. During the transaction, the number of carbon emission rights purchased or sold by the province needs to be between the carbon emission rights it owns and the carbon emission rights it sells. Under these constraints, the province can obtain income by selling carbon emission rights, and purchasing carbon emission rights will incur costs. In addition, it is necessary to pay carbon emission taxes or fees for excess emissions. Therefore, the second constraint condition is determined as follows:

[0072] 0≤C2≤C 2max ;

[0073]

[0074] Among them, C2 is the total carbon emissions of the target province, C 2max is the carbon emission rights of the target province, and the total emissions should be within the allowable range of carbon emission rights; C 2maxb With C 2minb They are the upper and lower limits of the total amount of carbon emission share trading.

[0075] In another embodiment of the present invention, in order to further define and illustrate, after collecting the power transaction data, the inter-provincial power transaction processing model and the carbon emission trading mathematical model are jointly solved based on the optimization target and the power transaction data to obtain the power transaction processing result, including:

[0076] The inter-provincial power transaction processing model and the carbon emission trading mathematical model are added together, and the target data parsed from the power transaction data are used as model parameters and the optimization target are used to perform model solution calculation to obtain the power transaction processing result.

[0077] Specifically, the inter-provincial power transaction processing model and the carbon emission trading mathematical model are jointly solved, taking into account the change in the price value of electricity with coal consumption and carbon emissions, and taking cost minimization as the goal, which will guide when and at what price to buy or sell electricity, coal consumption indicators and carbon emission rights. Among them, the inter-provincial power transaction processing model and the carbon emission trading mathematical model are added and represented as:

[0078]

[0079] In the embodiment of the present invention, the coal statistical index of the target province is converted into power generation, part of which is used for the province's own load, and part of which is used for inter-provincial mutual assistance, so as to fully take into account the different total electricity requirements of each province and the different peak and valley times of electricity consumption in a year, that is, the market supply and demand are relatively unstable, and the mathematical model of inter-provincial power trading is designed as a function of time t, and the price fluctuates with time t. Furthermore, based on the above conditions, under the conditions of the coal consumption index transfer mechanism, in order to minimize costs, the power trading market can make profits by selling electricity, transferring coal consumption indicators and carbon emission rights, such as Figure 2 As shown, the cost of purchasing electricity from other provinces when there is a power shortage, purchasing coal consumption indicators and carbon emission rights, as well as the cost of coupling coal and carbon emissions, penalties for coal consumption and carbon emissions, and taxes.

[0080] The present invention provides a method for processing electricity trading data based on coal consumption indicators. Compared with the prior art, the embodiment of the present invention determines the optimization target of minimizing the cost of electricity trading data to be processed and obtains the coal consumption indicator; constructs an inter-provincial electricity trading processing model in combination with the coal consumption indicator, and constructs a carbon emission trading mathematical model; after collecting the electricity trading data, the inter-provincial electricity trading processing model and the carbon emission trading mathematical model are jointly solved based on the optimization target and the electricity trading data to obtain the electricity trading processing result, thereby achieving the purpose of effectively processing the electricity trading data combined with the coal consumption indicator and meeting the processing requirements of the electricity trading data in the coal-fired power scenario.

[0081] Furthermore, as a response to the above Figure 1 The implementation of the method shown in the embodiment of the present invention provides a power transaction data processing device based on coal consumption indicators, such as Figure 3 As shown, the device comprises:

[0082] A determination module 21 is used to determine an optimization target of minimizing the cost of power transaction data to be processed and obtain a coal consumption index;

[0083] A construction module 22 is used to construct an inter-provincial power transaction processing model in combination with the coal consumption index, and to construct a carbon emission trading mathematical model;

[0084] The processing module 23 is used to jointly solve the inter-provincial electricity trading processing model and the carbon emission trading mathematical model based on the optimization target and the electricity trading data after collecting the electricity trading data, so as to obtain the electricity trading processing results. The constraints of the inter-provincial electricity trading processing model and the carbon emission trading mathematical model include the upper limit of the total coal consumption, the upper limit of the total carbon emissions, the upper and lower limits of the inter-provincial trading capacity, and the upper and lower limits of the inter-provincial channel transmission capacity.

[0085] Furthermore, the construction module is specifically used to construct the inter-provincial electricity transaction processing model based on the inter-provincial transaction cost data, electricity value, coal transaction volume value, consumption value, price coefficient, and penalty coefficient in the coal consumption index, and determine the first constraint condition, which is used to constrain the inter-provincial electricity transaction processing model to keep the coal consumption index and power generation in a balanced state when solving the model.

[0086] Furthermore, the inter-provincial power transaction processing model is characterized as follows:

[0087]

[0088] Wherein, F is the total cost value of the inter-provincial electricity trading market of the target province, c Ebuy,t is the unit value of electricity purchased by the target province at time t, E buy,t is the amount of electricity purchased by the target province at time t, c Esell,t is the unit value of electricity sold by the target province at time t, E sell,t is the electricity value sold by the target province at time t, c w,t is the unit price of coal transferred at time t, W buy,t is the coal transfer value that the target province is allowed to purchase within the transfer index range at time t, W sell,t is the coal transfer value allowed to be sold within the transfer quota range of the target province, φ is the coal consumption penalty coefficient, W ex is the consumption value exceeding the upper limit of coal consumption, c o It is other costs including power transmission losses.

[0089] Furthermore, the construction module is specifically used to construct a carbon emission trading mathematical model including:

[0090] A carbon emissions trading mathematical model is constructed based on the total cost of carbon trading, unit cost of carbon trading, total carbon emissions, carbon emissions share, unit profit of carbon emissions, total carbon emissions share, carbon penalty coefficient, upper limit emissions, consumption index emission ratio, and trading tax coefficient, and a second constraint condition is determined. The second constraint condition is used to constrain the carbon emissions trading mathematical model to keep the total emissions within a preset threshold range of carbon emissions when solving the model.

[0091] Furthermore, the carbon emission trading mathematical model is characterized as follows: Among them, P is the total cost of the target province to participate in carbon trading, c bt is the unit cost of the target province at time t by purchasing carbon emission rights allocation, C 2buy,t is the total amount of carbon emission shares purchased at time t, c s,t is the unit profit from selling carbon emission rights allocation at time t, C 2sell,t is the total amount of carbon emission shares sold at time t, λ is the carbon penalty coefficient, Q ex is the amount of emissions exceeding the upper limit of carbon emissions, ω is the proportional coefficient of the increase in carbon emissions caused by the increase in coal consumption after purchasing the coal consumption index, T x It is the total tax coefficient for carbon emission rights allocation trading.

[0092] Furthermore, the processing module is specifically used to add the inter-provincial electricity trading processing model and the carbon emission trading mathematical model, and use the target data parsed from the electricity trading data as model parameters and the optimization target to perform model solution calculations to obtain the electricity trading processing result.

[0093] Furthermore, the inter-provincial power transaction processing model and the carbon emission trading mathematical model are added together to represent:

[0094]

[0095] The embodiment of the present invention provides an electricity trading data processing device based on coal consumption indicators. Compared with the prior art, the embodiment of the present invention determines the optimization goal of minimizing the cost of electricity trading data to be processed and obtains the coal consumption indicator; constructs an inter-provincial electricity trading processing model in combination with the coal consumption indicator, and constructs a carbon emission trading mathematical model; after collecting the electricity trading data, the inter-provincial electricity trading processing model and the carbon emission trading mathematical model are jointly solved based on the optimization goal and the electricity trading data to obtain the electricity trading processing result, thereby achieving the purpose of effectively processing the electricity trading data combined with the coal consumption indicator and meeting the processing requirements of the electricity trading data in the coal-fired power scenario.

[0096] According to one embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the power transaction data processing method based on coal consumption indicators in any of the above method embodiments.

[0097] Figure 4 A schematic diagram of the structure of a terminal provided according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the terminal.

[0098] like Figure 4 As shown, the terminal may include: a processor (processor) 302 , a communication interface (Communications Interface) 304 , a memory (memory) 306 , and a communication bus 308 .

[0099] The processor 302 , the communication interface 304 , and the memory 306 communicate with each other via the communication bus 308 .

[0100] The communication interface 304 is used to communicate with other devices such as clients or other servers.

[0101] The processor 302 is used to execute the program 310, and specifically can execute the relevant steps in the above-mentioned embodiment of the method for processing power transaction data based on coal consumption indicators.

[0102] Specifically, the program 310 may include program codes, which include computer operation instructions.

[0103] The processor 302 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiment of the present invention. The one or more processors included in the terminal may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0104] The memory 306 is used to store the program 310. The memory 306 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0105] The program 310 may be specifically configured to enable the processor 302 to perform the following operations:

[0106] Determine the optimization goal of minimizing the cost of processing the power transaction data to be processed and obtain the coal consumption index;

[0107] Combined with the coal consumption index, an inter-provincial electricity trading processing model is constructed, and a carbon emission trading mathematical model is constructed;

[0108] After collecting the electricity trading data, the inter-provincial electricity trading processing model and the carbon emission trading mathematical model are jointly solved based on the optimization objective and the electricity trading data to obtain the electricity trading processing results. The constraints of the inter-provincial electricity trading processing model and the carbon emission trading mathematical model include the upper limit of the total coal consumption, the upper limit of the total carbon emissions, the upper and lower limits of the inter-provincial trading capacity, and the upper and lower limits of the inter-provincial channel transmission capacity.

[0109] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0110] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for processing power trading data based on coal consumption indicators, characterized in that: include: Determine the optimization goal of minimizing the cost of processing the power transaction data to be processed and obtain the coal consumption index; Combined with the coal consumption index, an inter-provincial electricity trading processing model is constructed, and a carbon emission trading mathematical model is constructed; After collecting the electricity trading data, the inter-provincial electricity trading processing model and the carbon emission trading mathematical model are jointly solved based on the optimization objective and the electricity trading data to obtain the electricity trading processing results. The constraints of the inter-provincial electricity trading processing model and the carbon emission trading mathematical model include the upper limit of the total coal consumption, the upper limit of the total carbon emissions, the upper and lower limits of the inter-provincial trading capacity, and the upper and lower limits of the inter-provincial channel transmission capacity.

2. The method according to claim 1, characterized in that The inter-provincial power transaction processing model constructed in combination with the coal consumption index includes: The inter-provincial electricity transaction processing model is constructed based on the inter-provincial transaction cost data, electricity value, coal transaction volume value, consumption value, price coefficient and penalty coefficient in the coal consumption index, and the first constraint condition is determined. The first constraint condition is used to constrain the inter-provincial electricity transaction processing model to keep the coal consumption index and the power generation in a balanced state when solving the model.

3. The method according to claim 2, characterized in that The inter-provincial power transaction processing model is characterized as follows: Wherein, F is the total cost value of the inter-provincial power trading market of the target province, c Ebuy,t is the unit value of electricity purchased by the target province at time t, E buy,t is the amount of electricity purchased by the target province at time t, c Esell,t is the unit value of electricity sold by the target province at time t, E sell,t is the electricity value sold by the target province at time t, c w,t is the unit price of coal transferred at time t, W buy,t is the coal transfer value that the target province is allowed to purchase within the transfer index range at time t, W sell,t is the coal transfer value allowed to be sold within the transfer quota range of the target province, φ is the coal consumption penalty coefficient, W ex is the consumption value exceeding the upper limit of coal consumption, c o It is other costs including power transmission losses.

4. The method according to claim 1, characterized in that The construction of the carbon emission trading mathematical model includes: A carbon emissions trading mathematical model is constructed based on the total cost of carbon trading, unit cost of carbon trading, total carbon emissions, carbon emissions share, unit profit of carbon emissions, total carbon emissions share, carbon penalty coefficient, upper limit emissions, consumption index emission ratio, and trading tax coefficient, and a second constraint condition is determined. The second constraint condition is used to constrain the carbon emissions trading mathematical model to keep the total emissions within a preset threshold range of carbon emissions when solving the model.

5. The method according to claim 4, characterized in that The carbon emission trading mathematical model is characterized as follows: Among them, P is the total cost of the target province to participate in carbon trading, c b,t is the unit cost of the target province at time t by purchasing carbon emission rights allocation, C 2buy,t is the total amount of carbon emission shares purchased at time t, c s,t is the unit profit from selling carbon emission rights allocation at time t, C 2sell,t is the total amount of carbon emission shares sold at time t, λ is the carbon penalty coefficient, Q ex is the amount of emissions exceeding the upper limit of carbon emissions, ω is the proportional coefficient of the increase in carbon emissions caused by the increase in coal consumption after purchasing the coal consumption index, T x It is the total tax coefficient for carbon emission rights allocation trading.

6. The method according to claim 1, characterized in that After the power transaction data is collected, the inter-provincial power transaction processing model and the carbon emission trading mathematical model are jointly solved based on the optimization target and the power transaction data, and the power transaction processing results obtained include: The inter-provincial power transaction processing model and the carbon emission trading mathematical model are added together, and the target data parsed from the power transaction data are used as model parameters and the optimization target are used to perform model solution calculation to obtain the power transaction processing result.

7. The method according to claim 6, characterized in that The inter-provincial power transaction processing model and the carbon emission trading mathematical model are added together to represent:

8. A power trading data processing device based on coal consumption index, characterized in that: include: A determination module, used to determine an optimization target of minimizing the cost of power transaction data to be processed and obtain coal consumption indicators; A construction module is used to construct an inter-provincial power transaction processing model in combination with the coal consumption index, and to construct a carbon emission trading mathematical model; The processing module is used to jointly solve the inter-provincial electricity trading processing model and the carbon emission trading mathematical model based on the optimization target and the electricity trading data after collecting the electricity trading data, so as to obtain the electricity trading processing results. The constraints of the inter-provincial electricity trading processing model and the carbon emission trading mathematical model include the upper limit of the total coal consumption, the upper limit of the total carbon emissions, the upper and lower limits of the inter-provincial trading capacity, and the upper and lower limits of the inter-provincial channel transmission capacity.

9. A storage medium, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the method for processing power transaction data based on coal consumption indicators as described in any one of claims 1 to 7.

10. A terminal, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the method for processing electricity trading data based on coal consumption indicators as described in any one of claims 1-7.

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