Electricity market equilibrium analysis method, device and equipment considering green electricity and green certificate transaction

Abstract

The invention provides an electricity market equilibrium analysis method, device and equipment considering green electricity and green certificate transactions. The method comprises the following steps: constructing an independent system operator decision model by taking minimization of total cost as a first objective function and taking power for balancing electric power as a first constraint condition; constructing a power generation enterprise decision model by taking the maximum total income as a second objective function and the maximum power generation amount as a second constraint condition; taking the minimization of the total electricity purchase cost as a third objective function and taking the green electricity consumption responsibility weight as a third constraint condition to construct a consumer decision model; with supply and demand balance of conventional electric energy, green electricity and green certificate transaction as a constraint, a market balance condition is constructed; based on the independent system operator decision-making model, the power generation enterprise decision-making model, the consumer decision-making model and the market equilibrium condition, constructing a power market equilibrium model; and outputting the generating capacity of various types of electric power and the transmission electric quantity of each power transmission line by using the electric power market equalization model.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity market modeling, and in particular to an electricity market equilibrium analysis method, device and equipment considering green electricity and green certificate trading. Background Art

[0002] With the continuous improvement of the degree of electricity marketization, the number of market participants is increasing, the trading methods are becoming more diverse, and the scale of trading electricity is increasing. In order to give full play to the role of electricity market transactions in optimizing resource allocation, some analysis and decision-making methods have been proposed for the optimization of electricity market transactions.

[0003] However, since the existing electricity market equilibrium analysis is generally conducted on the electricity energy transaction, the electricity market equilibrium analysis is inaccurate. Summary of the invention

[0004] In view of this, the present invention provides a method, device and equipment for analyzing the equilibrium of the electricity market taking into account the trading of green electricity and green certificates.

[0005] One aspect of the present invention provides a method for analyzing the equilibrium of an electricity market taking into account green electricity and green certificate transactions, including: taking minimizing the total cost of electricity in the power system as the first objective function and balancing the power of electricity as the first constraint condition, constructing an independent system operator decision model; taking maximizing the total revenue obtained by power generation enterprises in the study area from participating in the electricity market as the second objective function and taking the maximum power generation of the power generation enterprises as the second constraint condition, constructing a decision model for power generation enterprises, wherein the electricity market includes conventional electricity energy transactions, green electricity transactions and green certificate transactions, and conventional electricity energy transactions include hydropower transactions and thermal power transactions; taking minimizing the total electricity purchase cost of electricity consumers in the study area participating in the electricity market as the third objective function and taking the green electricity consumption responsibility weight as the third constraint condition, constructing a consumer decision model; taking the supply and demand balance of conventional electricity energy transactions, green electricity transactions and green certificate transactions in the study area as constraints, constructing market equilibrium conditions; constructing an electricity market equilibrium model based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium conditions; and using the electricity market equilibrium model to output the power generation of various types of electricity and the transmission power of each transmission line.

[0006] According to an embodiment of the present invention, based on an independent system operator decision model, a power generation enterprise decision model, a consumer decision model and market equilibrium conditions, an electricity market equilibrium model is constructed, including: determining a first Carlos Kuhn-Tucker condition of the power generation enterprise decision model; determining a second Carlos Kuhn-Tucker condition of the consumer decision model; determining a mixed complementary condition of the first Carlos Kuhn-Tucker condition and the second Carlos Kuhn-Tucker condition; using a binary expansion method to linearize the mixed complementary condition to obtain a linear processing model; and merging the independent system operator decision model, the linear processing model and the market equilibrium conditions to obtain a power market equilibrium model.

[0007] According to an embodiment of the present invention, the types of electricity in the power system include: hydropower, thermal power, and green electricity, the total cost includes power generation cost and transmission cost, and the first constraint condition includes at least one of the following: total external transmission quantity constraint condition, total transmission quantity constraint condition, green electricity transmission quantity constraint condition, and energy balance constraint condition; taking minimizing the total cost of electricity in the power system as the first objective function, and taking balancing the power of electricity as the first constraint condition, an independent system operator decision model is constructed, including: minimizing the sum of the total power generation cost and the total transmission cost to obtain the first objective function, wherein the total power generation cost is the sum of the power generation costs of hydropower, thermal power, and green electricity, and the total transmission cost is the sum of the transmission costs of the transmission lines of hydropower, thermal power, and green electricity; determining the total power generation of electricity to be greater than or equal to the total external transmission quantity as the total external transmission quantity constraint condition, wherein the total power generation is the total power generation of the study area. The sum of the power generation of hydropower, thermal power and green power in the region, and the total external transmission is the sum of the external transmission of hydropower, thermal power and green power in the study area; and / or the total transmission power of each transmission line in the study area is less than or equal to the predetermined transmission power of the transmission line as the total transmission power constraint, wherein the total transmission power is the sum of the transmission power of hydropower, thermal power and green power; and / or the transmission power of green power of each transmission line in the study area is less than or equal to the predetermined green power transmission power as the green power transmission power constraint; and / or the sum of the energy of the transmission lines for hydropower, thermal power and green power in the study area is equal to zero as the energy balance constraint, wherein the energy is the product of the connection matrix and the transmission power of hydropower, thermal power and green power, and the connection matrix is ​​the matrix of the transmission lines and the connection nodes at both ends of the transmission lines in the study area.

[0008] According to an embodiment of the present invention, the electricity market equilibrium analysis method considering green electricity and green certificate trading also includes: determining the annual maximum transmission capacity of each transmission line in the study area as the predetermined transmission power; and determining the product of the maximum transmission ratio of green electricity in the transmission line and the total transmission power of the transmission line as the predetermined green electricity transmission power.

[0009] According to an embodiment of the present invention, a decision model for power generation enterprises is constructed with maximizing the total revenue obtained by power generation enterprises in the study area from participating in the electricity market as the second objective function and the maximum power generation of the power generation enterprises as the second constraint condition, including: determining the sum of the revenue obtained by power generation enterprises in the study area from selling electricity in conventional electricity energy transactions, green electricity transactions and green certificate transactions and the revenue obtained from green certificate transactions as the second objective function; and determining the power generation of each type of electricity by the power generation enterprises in the study area to be less than or equal to the predetermined power generation of each type of electricity as the second constraint condition.

[0010] According to an embodiment of the present invention, the third constraint includes an electricity demand constraint and a renewable energy quota demand constraint; taking minimizing the total electricity purchase cost of electricity consumers in the study area participating in the electricity market as the third objective function, and taking the green electricity consumption responsibility weight as the third constraint, a consumer decision model is constructed, including: minimizing the sum of the total assets of green electricity, hydropower, thermal power and green certificates purchased by electricity consumers in the study area when participating in the electricity market, to obtain the third objective function; determining the purchase amount of green electricity, hydropower and thermal power purchased by electricity consumers in the study area when participating in the electricity market equal to the predetermined electricity demand as an electricity demand constraint; and determining the purchase amount of non-water green electricity purchased by electricity consumers in the study area when participating in the electricity market is greater than or equal to the preset non-water green electricity quota demand and / or the purchase amount of hydropower is greater than or equal to the preset water power quota demand as a renewable energy quota demand constraint.

[0011] According to an embodiment of the present invention, market equilibrium conditions include conventional electricity energy equilibrium conditions, green electricity equilibrium conditions and green certificate equilibrium conditions; market equilibrium conditions are constructed with the supply and demand balance of conventional electricity energy transactions, green electricity transactions and green certificate transactions in the study area as constraints, including: determining the supply of hydropower transactions and thermal power transactions in the study area to be equal to the demand as the conventional electricity energy equilibrium condition; determining the supply of green electricity transactions in the study area to be equal to the demand as the green electricity equilibrium condition; and determining the supply of green certificate transactions in the study area to be equal to the demand as the green certificate equilibrium condition.

[0012] According to an embodiment of the present invention, using the electricity market equilibrium model, outputting the power generation of various types of electricity and the transmission power of each transmission line includes: obtaining the unit power generation cost of various types of electricity in the power system; obtaining the annual maximum transmission capacity of each transmission line in the study area; obtaining the matrix of the transmission lines and the connection nodes at both ends of the transmission lines in the study area; obtaining the annual maximum utilization hours and installed capacity of various types of electricity; inputting the unit power generation cost of various types of electricity, the annual maximum transmission capacity of each transmission line, the matrix, and the annual maximum utilization hours and installed capacity of various types of electricity into the electricity market equilibrium model, and outputting the power generation of various types of electricity and the transmission power of each transmission line.

[0013] Another aspect of the present invention provides an electricity market equilibrium analysis device that takes into account green electricity and green certificate transactions, including: a first building block for constructing an independent system operator decision model with minimizing the total cost of electricity in the power system as the first objective function and balancing the power of electricity as the first constraint; a second building block for constructing a power generation enterprise decision model with maximizing the total revenue obtained by power generation enterprises participating in the power market in the study area as the second objective function and the maximum power generation of the power generation enterprises as the second constraint, wherein the power market includes conventional electricity energy transactions, green electricity transactions and green certificate transactions, and conventional electricity energy transactions include hydropower transactions and thermal power transactions; a third A construction module is used to construct a consumer decision model with the third objective function of minimizing the total electricity purchase cost of electricity consumers participating in the electricity market in the study area and the third constraint condition of green electricity consumption responsibility weight; a fourth construction module is used to construct market equilibrium conditions with the supply and demand balance of conventional electricity energy trading, green electricity trading and green certificate trading in the study area as constraints; a fifth construction module is used to construct an electricity market equilibrium model based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium conditions; and an analysis module is used to use the electricity market equilibrium model to output the power generation of various types of electricity and the transmission power of each transmission line.

[0014] Another aspect of the present invention provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned electricity market equilibrium analysis method considering green electricity and green certificate transactions.

[0015] According to an embodiment of the present invention, an electricity market equilibrium model is constructed by constructing an independent system operator decision model, a power generation enterprise decision model, a consumer decision model and market equilibrium conditions. The construction of an electricity market equilibrium model for the study area is realized, which is conducive to realizing high-precision cross-regional electricity market equilibrium analysis. On the basis of equilibrium analysis, the transaction characteristics of the green electricity and green certificate markets can be analyzed, and green electricity and green certificate transactions can be incorporated into the electricity market, which is conducive to realizing market equilibrium analysis for multiple regions with different geographical characteristics and improving the electricity market equilibrium analysis system. In addition, the power data analysis method provided by the present invention has high scalability, and can incorporate other markets such as the carbon market on the basis of existing models to achieve richer market equilibrium analysis and strategy simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0017] Figure 1A flow chart of a method for analyzing a power market equilibrium considering green electricity and green certificate transactions according to an embodiment of the present invention is shown;

[0018] Figure 2 A schematic diagram of the structure of an electricity market equilibrium model according to an embodiment of the present invention is shown;

[0019] Figure 3 A statistical diagram of green power transmission in different scenarios according to an embodiment of the present invention is shown;

[0020] Figure 4 A statistical diagram of green electricity generation in different scenarios according to an embodiment of the present invention is shown;

[0021] Figure 5 A block diagram showing a device for analyzing the equilibrium of a power market considering green electricity and green certificate transactions according to an embodiment of the present invention is shown; and

[0022] Figure 6 A block diagram of an electronic device suitable for implementing a method for analyzing a power market equilibrium taking into account green electricity and green certificate transactions according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0023] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0024] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0025] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0026] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0027] In the process of realizing the concept of the present invention, the inventor found that under the requirements of renewable energy consumption weight, the green certificate and green electricity market are gradually built and improved. In addition to electric energy trading, the green electricity and green certificate market can also meet green electricity consumption needs or obtain benefits, internalize environmental value, and provide diversified choices for market participants. The cross-regional transmission and trading of green certificates and green electricity is an important means to promote green electricity consumption.

[0028] The power market has the characteristics of reverse distribution of green power resources and loads, and the mismatch problem between loads and green power resources between regions is significant. The cross-regional transmission network represented by UHV and EHV lines is an effective means to solve the above regional mismatch problem. Therefore, providing a market equilibrium analysis method involving green certificates and green power transactions has become an important means to coordinate various transaction mechanisms and cross-regional market transmission capabilities to optimize resource allocation on a larger scale.

[0029] Green certificates and green electricity transactions have different transaction characteristics. Green electricity transactions have the characteristic of "certificate-electricity integration". While completing the transaction, it also realizes the delivery of green electricity volume and usage certificates. The electric energy attribute and environmental value attribute of green electricity are traded together. However, green certificate transactions adopt the form of "certificate-electricity separation". Its transaction subject is only green electricity certificates. It only completes the transaction of environmental value attributes and does not complete the actual delivery of electric energy. In terms of actual function, green electricity transactions directly reduce the consumption of coal-fired power and carbon emissions. However, its transactions are restricted by many physical conditions such as transmission line construction and scheduling decisions. Green certificate transactions indirectly prove the green electricity consumption attributes of consumers and internalize the environmental value of green electricity generation projects. Since no actual electricity delivery occurs, its transactions are flexible and easy to operate.

[0030] Taking the above characteristics into account in the inter-regional electricity market equilibrium model is a significant and challenging task.

[0031] Based on this, the embodiment of the present invention provides a method, device and equipment for analyzing the equilibrium of the power market considering green electricity and green certificate transactions. The method includes: taking the minimization of the total cost of electricity in the power system as the first objective function and the balancing of the power as the first constraint condition, constructing an independent system operator decision model; taking the maximization of the total benefits obtained by the power generation enterprises participating in the power market in the study area as the second objective function and the maximum power generation of the power generation enterprises as the second constraint condition, constructing a decision model for the power generation enterprises, wherein the power market includes conventional power energy transactions, green power transactions and green certificate transactions, and conventional power energy transactions include hydropower transactions and thermal power transactions; taking the minimization of the total power purchase cost of power consumers participating in the power market in the study area as the third objective function and the green power consumption responsibility weight as the third constraint condition, constructing a consumer decision model; taking the supply and demand balance of conventional power energy transactions, green power transactions and green certificate transactions in the study area as the constraint, constructing a market equilibrium condition; constructing a power market equilibrium model based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium condition; and using the power market equilibrium model, outputting the power generation of various types of electricity and the transmission power of each transmission line.

[0032] The following will be passed Figure 1~Figure 4 The method of the embodiment of the present invention is described in detail.

[0033] Figure 1 A flow chart of a method for analyzing a power market equilibrium taking into account green electricity and green certificate transactions according to an embodiment of the present invention is shown.

[0034] like Figure 1 As shown, the electricity market equilibrium analysis method 100 considering green electricity and green certificate transactions includes operations S110 to S160.

[0035] In operation S110 , an independent system operator decision model is constructed with minimizing the total cost of electricity in the power system as a first objective function and balancing the power of electricity as a first constraint condition.

[0036] In operation S120, a decision model for power generation enterprises is constructed by taking maximizing the total revenue obtained by power generation enterprises in the study area from participating in the power market as the second objective function and taking the maximum power generation of the power generation enterprises as the second constraint condition.

[0037] In operation S130, a consumer decision model is constructed by minimizing the total electricity purchase cost of electricity consumers in the study area participating in the electricity market as the third objective function and taking the green electricity consumption responsibility weight as the third constraint condition.

[0038] In operation S140, market equilibrium conditions are constructed by taking the supply and demand balance of conventional power energy trading, green power trading and green certificate trading in the research area as constraints.

[0039] In operation S150, a power market equilibrium model is constructed based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model, and the market equilibrium condition.

[0040] In operation S160 , the power generation amount of each type of power and the transmission amount of each transmission line are output using the power market equilibrium model.

[0041] According to an embodiment of the present invention, the power market may include conventional power energy transactions, green power transactions, and green certificate transactions. Conventional power energy transactions may include hydropower transactions and thermal power transactions.

[0042] According to an embodiment of the present invention, the independent system operator decision model can be used to minimize the total cost of electricity. The independent system operator decision model can be targeted at operators that perform power dispatching services, such as the State Grid Corporation of China and the China Southern Power Grid Corporation.

[0043] According to an embodiment of the present invention, the total cost of electricity may include at least one of the following: the power generation cost, the power transmission cost, etc. The power generation cost may be determined based on the product of the unit power generation cost and the power generation amount. The power transmission cost may be determined based on the power transmission capacity and the unit transmission cost.

[0044] According to an embodiment of the present invention, balancing the power of electric power can be used to stabilize the power. For example, at least one of the following can be constrained: the output power and the external transmission power, the upper limit of the power transmission power, the transmission amount of green power, and the energy balance of the power to achieve balanced power.

[0045] According to an embodiment of the present invention, the study area may be a province or multiple provinces, etc. Power generation companies may represent manufacturers, own numerous power plants located in different regions and bid for access to the grid in a market with node marginal prices. Power generation companies can maximize their total profits by adjusting production capacity. Power generation companies with green power plants can choose to sell green electricity in the green electricity market or sell green electricity in the traditional electricity market while selling green certificates in the green certificate market. In the power structure, coal-fired power, gas-fired power, hydropower, photovoltaic power, wind power and nuclear power account for 97.7% of the total power generation. Therefore, power generation companies may include six types of power generation companies, including coal-fired power, gas-fired power, hydropower, photovoltaic power, wind power and nuclear power.

[0046] According to an embodiment of the present invention, in order to improve the authenticity of the model, different regions are divided based on key line transmission nodes. Electricity consumers in different regions include power grids and end users. The quota system indicators set the minimum consumption weights of green electricity and hydropower for each region with different geographical signs. Electricity consumers minimize the total electricity purchase cost by determining their demand for green certificates, hydropower, green electricity and traditional electricity.

[0047] Figure 2A structural schematic diagram of an electricity market equilibrium model according to an embodiment of the present invention is shown.

[0048] like Figure 2 As shown, the electricity market equilibrium model can be obtained by establishing mutual connections and mutual constraints among the independent system operator decision model M1, the power generation enterprise decision model M2, the consumer decision model M3 and the market equilibrium conditions.

[0049] According to an embodiment of the present invention, the electricity market equilibrium model is used to achieve electricity supply and demand balance by simulating the electricity market mechanism.

[0050] According to an embodiment of the present invention, an electricity market equilibrium model is constructed by constructing an independent system operator decision model, a power generation enterprise decision model, a consumer decision model and market equilibrium conditions. The construction of an electricity market equilibrium model for the study area is realized, which is conducive to realizing high-precision cross-regional electricity market equilibrium analysis. On the basis of equilibrium analysis, the transaction characteristics of the green electricity and green certificate markets can be analyzed, and green electricity and green certificate transactions can be incorporated into the electricity market, which is conducive to realizing market equilibrium analysis for multiple regions with different geographical characteristics and improving the electricity market equilibrium analysis system. In addition, the power data analysis method provided by the present invention has high scalability, and can incorporate other markets such as the carbon market on the basis of existing models to achieve richer market equilibrium analysis and strategy simulation.

[0051] According to the embodiments of the present invention, the present invention incorporates green electricity and green certificate transactions into the traditional market equilibrium model, accurately and comprehensively depicts the market equilibrium characteristics under the participation of green certificate and green electricity transactions, and better supports the construction of the future electricity market under the continuous improvement of new energy penetration rate.

[0052] According to an embodiment of the present invention, the type of electricity in the power system may include: hydropower, thermal power, and green power. The total cost may include power generation cost and transmission cost. The first constraint may include at least one of the following: a total external transmission power constraint, a total transmission power constraint, a green power transmission power constraint, and an energy balance constraint.

[0053] For the above Figure 1The operation S110 shown, taking minimizing the total cost of electricity in the power system as the first objective function and balancing the power of electricity as the first constraint condition, constructing an independent system operator decision model, may include the operations of: minimizing the sum of the total power generation cost and the total transmission cost to obtain the first objective function, wherein the total power generation cost is the sum of the power generation costs of hydropower, thermal power and green power, and the total transmission cost is the sum of the transmission costs of the transmission lines of hydropower, thermal power and green power; determining that the total power generation is greater than or equal to the total external transmission as the total external transmission constraint condition, wherein the total power generation is the sum of the power generation of hydropower, thermal power and green power in the study area, and the total external transmission is the total external transmission of hydropower, thermal power and green power in the study area. The sum of the transmission quantities; and / or the total transmission quantity of each transmission line in the study area is determined to be less than or equal to the predetermined transmission quantity of the transmission line as the total transmission quantity constraint condition, wherein the total transmission quantity is the sum of the transmission quantities of hydropower, thermal power and green power respectively; and / or the green power transmission quantity of each transmission line in the study area is determined to be less than or equal to the predetermined green power transmission quantity as the green power transmission quantity constraint condition; and / or the sum of the energies of the transmission lines for hydropower, thermal power and green power in the study area is determined to be equal to zero as the energy balance constraint condition, wherein the energy is the product of the connection matrix and the transmission quantities of hydropower, thermal power and green power respectively, and the connection matrix is ​​the matrix of the transmission lines and the connection nodes at both ends of the transmission lines in the study area.

[0054] According to an embodiment of the present invention, the power generation costs of hydropower, thermal power and green power can be determined based on the product of their unit power generation costs and their power generation in the power market.

[0055] For example, the first objective function is shown in the following formula (1a):

[0056] (1a)

[0057] in, Refers to the unit power generation cost of green power plants, hydropower plants and thermal power plants respectively; Refers to the power generation of green power plants, hydropower plants and thermal power plants participating in the power market; Refers to the amount of electricity generated by green power plants participating in the green certificate market; Refers to the transmission amount of green power, hydropower and thermal power of each transmission line respectively; Refers to the transmission cost of each transmission line. Since green power plants can apply for a corresponding number of green certificates when participating in the conventional electricity energy trading market, It can indicate both the number of green certificates sold and the amount of electricity generated by green power plants participating in the green certificate market.

[0058] The present invention takes into account that electricity cannot be stored. The electricity transmitted to the outside cannot exceed the total power generation of each area with different geographical signs. At the same time, the load of different electricity must be non-negative. Therefore, the total power generation is greater than or equal to the total external transmission as the total external transmission constraint.

[0059] For example, the total external transmission capacity constraint condition can be as shown in the following equations (1b)-(1d), which limits the total external transmission capacity by setting an upper limit value for power transmission to other nodes.

[0060] (1b)

[0061] (1c)

[0062] (1d)

[0063] in, Refers to the total amount of green electricity sold by node n; N is the set of nodes at both ends of all transmission lines in the study area; Represents the connection matrix between the transmission line l and each node n.

[0064] According to an embodiment of the present invention, the power market equilibrium analysis method considering green electricity and green certificate trading may include the following: Figure 1 In addition to the operations S110 to S160 shown, the operation may also include: determining the annual maximum transmission capacity of each transmission line in the study area as the predetermined transmission power. Determining the product of the maximum transmission ratio of green power in the transmission line and the total transmission power of the transmission line as the predetermined green power transmission power.

[0065] In the DC model, each transmission line is subject to its power constraint. The total transmission power constraint can be shown as follows (1e), where the line power is used to constrain the power transmission flow, and the constraint stipulates the annual total power transmission limit of the transmission line l.

[0066] (1e)

[0067] in, It refers to the annual maximum transmission capacity of transmission line l; L is the set of all transmission lines in the study area.

[0068] Considering the intermittent nature of green electricity, it is necessary to bundle green electricity and stable power supply for external transmission in actual line transmission. It represents the maximum bundled transmission ratio of green electricity, that is, the maximum transmission ratio of green electricity in the transmission line. The green electricity transmission quantity constraint condition can be expressed as follows (1f):

[0069] (1f)

[0070] The energy balance constraints can be expressed as follows: (1g)-(1i) to ensure lossless balance of the inter-regional transmission network.

[0071] (1g)

[0072] (1h)

[0073] (1i)

[0074] According to the embodiments of the present invention, by constructing an independent system operator decision model, it is possible to take into account the power generation decisions of different enterprises and control the total cost of the power transmission system to be minimized.

[0075] According to an embodiment of the present invention, Figure 1 The operation S120 shown, taking the maximization of the total revenue obtained by the power generation enterprises in the study area from participating in the power market as the second objective function and the maximum power generation of the power generation enterprises as the second constraint condition, constructing a decision model for the power generation enterprises, may include the operation of determining the sum of the revenue obtained by the power generation enterprises in the study area from selling electricity in conventional electric energy transactions, green electricity transactions and green certificate transactions and the revenue obtained from green certificate transactions as the second objective function. Determining the power generation of each type of electricity by the power generation enterprises in the study area to be less than or equal to the predetermined power generation of each type of electricity as the second constraint condition.

[0076] According to an embodiment of the present invention, power generation enterprises maximize their revenue by deciding the power generation amount they participate in different markets. Solve the following problem to obtain The value of the variable.

[0077] The second objective function can be shown as follows: Equation (2a), where the total revenue includes the revenue from selling electricity in different markets and from green certificate exchanges.

[0078] (2a)

[0079] in, They are the node marginal price of the green electricity market, the node marginal price of the conventional electricity energy trading market, and the green certificate price of the green certificate market, all of which are Lagrange multipliers. The node marginal price and the green certificate price can be the market equilibrium price of the corresponding market.

[0080] The second constraint can be shown in equations (2b)-(2d) below, which limits the output level of each power plant through the maximum power generation. For green power plants, the output includes the amount of electricity participating in the green power market. And the amount of electricity involved in the traditional market and the green certificate market .

[0081] (2b)

[0082] (2c)

[0083] (2d)

[0084] in, Respectively represent the annual maximum utilization hours of each type of power plant; Respectively represent the installed capacity of each type of power plant. This constraint limits the upper limit of the annual power generation of each power plant.

[0085] According to the embodiment of the present invention, by constructing a decision-making model for power generation enterprises, it is possible to maximize the profits of power generation enterprises by deciding the power generation amount of the power generation enterprises participating in different markets.

[0086] According to an embodiment of the present invention, the third constraint condition may include a power demand constraint condition and a renewable energy quota system demand constraint condition.

[0087] Regarding the above Figure 1 In operation S130, the third objective function is to minimize the total electricity purchase cost of electricity consumers in the study area participating in the electricity market, and the green electricity consumption responsibility weight is used as the third constraint condition to construct a consumer decision model, which may include the operation of minimizing the sum of the total assets of green electricity, hydropower, thermal power and green certificates purchased by electricity consumers in the study area when participating in the electricity market, and obtaining the third objective function. The purchase amount of green electricity, hydropower and thermal power purchased by electricity consumers in the study area when participating in the electricity market is equal to the predetermined electricity demand, which is determined as the electricity demand constraint condition. The purchase amount of non-hydro green electricity purchased by electricity consumers in the study area when participating in the electricity market is greater than or equal to the preset non-hydro green electricity quota demand and / or the purchase amount of hydropower is greater than or equal to the preset hydropower quota demand, which is determined as the demand constraint condition of the renewable energy quota system.

[0088] Since consumers at different nodes will make decisions between green certificates, hydropower, green electricity and traditional electricity to minimize the cost of purchasing electricity. In anticipation of the quota system restrictions, solve the following problem to make decisions The value of the variable.

[0089] For example, the third objective function can be shown as follows (3a), which minimizes the total cost of purchasing electricity including three types of electricity and green certificates.

[0090] (3a)

[0091] in, They respectively represent the purchase amount of green electricity, hydropower, thermal power and green certificates by the electricity consumer at node n when participating in the electricity market.

[0092] The power demand constraint can be expressed as the following equation (3b), which indicates that the sum of different types of power demands should be equal to the total power demand of different nodes.

[0093] (3b)

[0094] in, represents the total power demand of the power consumers at node n, that is, the predetermined power demand; β n is a Lagrange multiplier and has no practical meaning in the present invention. This constraint ensures that the total power demand of the power consumers at each node is met.

[0095] The demand constraints of the renewable energy quota system can be shown in the following equations (3c) and (3d). Equation (3c) limits the demand for green electricity in each region with different geographical signs under the quota system target, and equation (3d) limits the demand for hydropower in each region with different geographical signs under the quota system target. There are two options to meet the quota system requirements, purchasing green certificates or directly purchasing green electricity on the market.

[0096] (3c)

[0097] (3d)

[0098] in, They represent the hydropower and non-hydropower green power consumption responsibility weights of regions p with different geographical signs; P is the set of all regions with different geographical signs in the study area; and All are Lagrange multipliers and have no practical meaning in the present invention. This constraint ensures that the requirements of the renewable energy quota system are met.

[0099] According to an embodiment of the present invention, by constructing a consumer decision model, electricity consumers at different nodes can make decisions between green certificates, hydropower, green electricity and thermal power to minimize the cost of purchasing electricity, anticipating quota restrictions.

[0100] According to an embodiment of the present invention, the market equilibrium condition includes a conventional electricity energy equilibrium condition, a green electricity equilibrium condition and a green certificate equilibrium condition.

[0101] Regarding the above Figure 1 In operation S140, the market equilibrium condition is constructed based on the supply and demand balance of conventional electricity energy trading, green electricity trading and green certificate trading in the study area as a constraint, which may include the following operations: determining the supply of hydropower trading and thermal power trading in the study area equal to the demand as the conventional electricity energy balance condition. Determining the supply of green electricity trading in the study area equal to the demand as the green electricity balance condition. Determining the supply of green certificate trading in the study area equal to the demand as the green certificate balance condition.

[0102] In addition to the decision-making of participants, market equilibrium conditions in various markets are necessary to match supply and demand. The green electricity equilibrium condition, conventional electricity energy equilibrium condition and green certificate equilibrium condition can be expressed as follows (4a)-(4c) respectively.

[0103] (4a)

[0104] (4b)

[0105] (4c)

[0106] Among them, eb n，p p represents the purchase amount of green certificates purchased by power consumers at node n in regions with different geographical signs when participating in the power market; es n，p Indicates the amount of electricity that the power consumers of node n in the area with different regional signs participate in the conventional electricity energy market and the green certificate market; They respectively represent the trading volume of thermal power and hydropower of node n participating in the market.

[0107] According to the embodiment of the present invention, in addition to the decision-making of participants, market equilibrium conditions in various markets are necessary for matching supply and demand, and thus the market equilibrium conditions can be used to facilitate accurate construction of an electricity market equilibrium model.

[0108] According to an embodiment of the present invention, for the above Figure 1 In operation S150, based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium condition, the power market equilibrium model is constructed, which may include the following operations: determining the first Carlos Kuhn-Tucker condition of the power generation enterprise decision model. Determining the second Carlos Kuhn-Tucker condition of the consumer decision model. Determining the mixed complementary condition of the first Carlos Kuhn-Tucker condition and the second Carlos Kuhn-Tucker condition. Using the binary expansion method, the mixed complementary condition is linearized to obtain a linear processing model. The independent system operator decision model, the linear processing model and the market equilibrium condition are combined to obtain the power market equilibrium model.

[0109] According to an embodiment of the present invention, the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium conditions can be solved jointly, and the decision models of each power generation enterprise and power consumer can be converted into their Carlo-Kuhn-Tucker conditions (KKT conditions).

[0110] For example, the first Carlos-Kuhn-Tucker condition, i.e., the KKT condition of a power generation enterprise, is shown in equations (A.1) to (A.7):

[0111] (A.1)

[0112] (A.2)

[0113] (A.3)

[0114] (A.4)

[0115] (A.5)

[0116] (A.6)

[0117] (A.7)

[0118] The second Carlo Demand-Kuhn-Tucker condition, that is, the KKT condition of the electricity consumer is shown in the following equations (A.8)-(A.14):

[0119] (A.8)

[0120] (A.9)

[0121] (A.10)

[0122] (A.11)

[0123] (A.12)

[0124] (A.13)

[0125] (A.14)

[0126] The first Carlo Rosset-Kuhn-Tucker condition and the second Carlo Rosset-Kuhn-Tucker condition can be combined to obtain a mixed complementary condition.

[0127] In order to transform the model into a solvable mixed linear integer programming problem, the present invention introduces a binary variable with a value of 1 or 0 , the mixed complementarity problem in the KKT condition is binary expanded to achieve the purpose of linearizing the nonlinear constraints. The following equations (A.18)-(A.29) are the linear processing models after linearization, where M represents a sufficiently large constant.

[0128] (A.18)

[0129] (A.19)

[0130] (A.20)

[0131] (A.21)

[0132] (A.22)

[0133] (A.23)

[0134] (A.24)

[0135] (A.25)

[0136] (A.26)

[0137] (A.27)

[0138] (A.28)

[0139] (A.29)

[0140] According to an embodiment of the present invention, the electricity market equilibrium model is finally transformed into a mixed linear integer programming problem, which can be solved by a gurobi solver.

[0141] According to an embodiment of the present invention, for the above Figure 1 In operation S160, using the power market equilibrium model, outputting the power generation of various types of power and the transmission power of each transmission line may include the following operations: obtaining the unit power generation cost of various types of power in the power system. Obtaining the annual maximum transmission capacity of each transmission line in the study area. Obtaining the matrix of the connection nodes between the transmission lines and the two ends of the transmission lines in the study area. Obtaining the annual maximum utilization hours and installed capacity of various types of power. Inputting the unit power generation cost of various types of power, the annual maximum transmission capacity of each transmission line, the matrix, and the annual maximum utilization hours and installed capacity of various types of power into the power market equilibrium model, outputting the power generation of various types of power and the transmission power of each transmission line.

[0142] According to an embodiment of the present invention, the unit generation cost of various types of electricity, the annual maximum transmission capacity of each transmission line, the matrix, and the annual maximum utilization hours and installed capacity of various types of electricity can be obtained from a database that stores data on various types of power plants and cross-regional transmission lines in the study area.

[0143] Figure 3A statistical diagram of green power transmission in different scenarios according to an embodiment of the present invention is shown; Figure 4 A statistical diagram of green electricity generation in different scenarios according to an embodiment of the present invention is shown.

[0144] For example, 29 regions with different geographical features can be selected as representatives. Collect data on various power plants and cross-regional transmission lines above 500kV in the 29 regions with different geographical features. Based on the characteristics of the transmission lines, the 29 regions with different geographical features are divided into different nodes, and the power demand data of each node is obtained using the power consumption information belonging to each region. Through the simulation and analysis of the above power market equilibrium model, the market trading electricity and cross-regional transmission volume under four scenarios are obtained: the green certificate and green electricity market do not exist (REF), only the green certificate market exists (FTM), only the green electricity market exists (GPM), and both the green certificate and green electricity market exist (FMD). Figure 3 and Figure 4 As shown, both green certificates and green electricity markets can effectively promote the production and cross-regional trading of renewable energy, and the implementation effect of the green electricity market is particularly outstanding.

[0145] According to an embodiment of the present invention, the electricity market equilibrium model can be used to further analyze the equilibrium characteristics and stability of the cross-regional electricity market under multiple trading targets, explore the effectiveness of cross-regional electricity trading under high renewable energy penetration, and provide decision-making references for the future renewable energy warrant trading market and related strategy implementation.

[0146] Figure 5 A block diagram of a power market equilibrium analysis device considering green electricity and green certificate transactions according to an embodiment of the present invention is shown.

[0147] like Figure 5 As shown, the power market equilibrium analysis device 500 considering green electricity and green certificate trading includes a first building module 510, a second building module 520, a third building module 530, a fourth building module 540, a fifth building module 550 and an analysis module 560.

[0148] The first construction module 510 is used to construct an independent system operator decision model with minimizing the total cost of electricity in the power system as the first objective function and balancing the power of electricity as the first constraint condition. The second construction module 520 is used to construct a power generation enterprise decision model with maximizing the total benefits obtained by power generation enterprises participating in the power market in the study area as the second objective function and the maximum power generation of power generation enterprises as the second constraint condition, wherein the power market includes conventional power energy trading, green power trading and green certificate trading, and conventional power energy trading includes hydropower trading and thermal power trading. The third construction module 530 is used to minimize the total power purchase cost of power consumers participating in the power market in the study area as the third objective function and the green power consumption responsibility weight as the third constraint condition to construct a consumer decision model. The fourth construction module 540 is used to construct a market equilibrium condition with the supply and demand balance of conventional power energy trading, green power trading and green certificate trading in the study area as the constraint. The fifth construction module 550 is used to construct a power market equilibrium model based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium condition. The analysis module 560 is used to output the power generation of various types of electricity and the transmission power of each transmission line by using the power market equilibrium model.

[0149] According to an embodiment of the present disclosure, any multiple modules among the first building module 510, the second building module 520, the third building module 530, the fourth building module 540, the fifth building module 550 and the analysis module 560 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first building module 510, the second building module 520, the third building module 530, the fourth building module 540, the fifth building module 550 and the analysis module 560 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation modes of software, hardware and firmware or in a suitable combination of any of them. Alternatively, at least one of the first building module 510, the second building module 520, the third building module 530, the fourth building module 540, the fifth building module 550 and the analysis module 560 can be at least partially implemented as a computer program module, which can perform the corresponding function when it is executed.

[0150] It should be noted that the part of the electricity market equilibrium analysis device considering green electricity and green certificate trading in the embodiment of the present invention corresponds to the part of the electricity market equilibrium analysis method considering green electricity and green certificate trading in the embodiment of the present invention. The description of the part of the electricity market equilibrium analysis device considering green electricity and green certificate trading specifically refers to the part of the electricity market equilibrium analysis method considering green electricity and green certificate trading, which will not be repeated here.

[0151] Figure 6 A block diagram of an electronic device suitable for implementing a method for analyzing a power market equilibrium taking into account green electricity and green certificate transactions according to an embodiment of the present disclosure is shown. Figure 6 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0152] like Figure 6 As shown, the electronic device 600 according to an embodiment of the present invention includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage part 608 to a random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include an onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0153] In RAM 603, various programs and data required for the operation of electronic device 600 are stored. Processor 601, ROM 602 and RAM 603 are connected to each other via bus 604. Processor 601 performs various operations of the method flow according to the embodiment of the present invention by executing the programs in ROM 602 and / or RAM 603. It should be noted that the program can also be stored in one or more memories other than ROM 602 and RAM 603. Processor 601 can also perform various operations of the method flow according to the embodiment of the present invention by executing the programs stored in one or more memories.

[0154] According to an embodiment of the present invention, the electronic device 600 may further include an input / output (I / O) interface 605, which is also connected to the bus 604. The electronic device 600 may further include one or more of the following components connected to the input / output (I / O) interface 605: an input portion 606 including a keyboard, a mouse, etc.; an output portion 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 608 including a hard disk, etc.; and a communication portion 609 including a network interface card such as a LAN card, a modem, etc. The communication portion 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the input / output (I / O) interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage portion 608 as needed.

[0155] According to an embodiment of the present invention, the method flow according to an embodiment of the present invention can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above-mentioned functions defined in the system of the embodiment of the present invention are executed. According to an embodiment of the present invention, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0156] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0157] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device.

[0158] For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 602 and / or the RAM 603 described above and / or one or more memories other than the ROM 602 and the RAM 603 .

[0159] An embodiment of the present invention also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method provided by the embodiment of the present invention. When the computer program product runs on an electronic device, the program code is used to enable the electronic device to implement the method provided by the embodiment of the present invention.

[0160] When the computer program is executed by the processor 601, the above functions defined in the system / device of the embodiment of the present invention are executed. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0161] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 609, and / or installed from a removable medium 611. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0162] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0163] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments of the present invention can be combined and / or combined in various ways, even if such a combination or combination is not explicitly recorded in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features recorded in the various embodiments of the present invention can be combined and / or combined in various ways. All these combinations and / or combinations fall within the scope of the present invention.

[0164] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination. The scope of the present invention is defined by the attached claims and their equivalents. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for analyzing the equilibrium of the electricity market considering green electricity and green certificate trading, characterized in that: The method comprises: An independent system operator decision model is constructed with minimizing the total cost of electricity in the power system as a first objective function and balancing the power of the electricity as a first constraint; Taking maximizing the total revenue obtained by power generation enterprises in the study area from participating in the power market as the second objective function and taking the maximum power generation of the power generation enterprises as the second constraint condition, a decision model for power generation enterprises is constructed, wherein the power market includes conventional power energy trading, green power trading and green certificate trading, and the conventional power energy trading includes hydropower trading and thermal power trading; Taking minimizing the total electricity purchase cost of electricity consumers in the study area participating in the electricity market as the third objective function and taking the green electricity consumption responsibility weight as the third constraint condition, a consumer decision model is constructed; Taking the supply and demand balance of the conventional electric energy trading, the green electricity trading and the green certificate trading in the research area as constraints, a market equilibrium condition is established; Based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium condition, an electricity market equilibrium model is constructed; and using the electricity market equilibrium model, the power generation of various types of electricity and the transmission power of each transmission line are output.

2. The method according to claim 1, characterized in that The constructing of the power market equilibrium model based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium condition includes: Determining the first Carlo Desire-Kuhn-Tucker condition of the power generation enterprise decision model; Determine the second Carlo-Kuhn-Tucker condition of the consumer decision model; determining a mixed complementary condition of the first Carlos-Kuhn-Tucker condition and the second Carlos-Kuhn-Tucker condition; Using a binary expansion method, linearizing the mixed complementary condition to obtain a linear processing model; and The independent system operator decision model, the linear processing model and the market equilibrium condition are combined to obtain the electricity market equilibrium model.

3. The method according to claim 1, characterized in that The types of electricity in the power system include: hydropower, thermal power, and green power; the total cost includes power generation cost and transmission cost; the first constraint condition includes at least one of the following: a total external transmission quantity constraint condition, a total transmission quantity constraint condition, a green power transmission quantity constraint condition, and an energy balance constraint condition; The method of constructing an independent system operator decision model by taking minimizing the total cost of electricity in the power system as the first objective function and balancing the power of the electricity as the first constraint condition comprises: Minimize the sum of the total power generation cost and the total transmission cost to obtain the first objective function, wherein the total power generation cost is the sum of the power generation costs of the hydropower, the thermal power and the green power, and the total transmission cost is the sum of the transmission costs of the transmission lines of the hydropower, the thermal power and the green power; Determine that the total power generation of the electric power is greater than or equal to the total external transmission as the total external transmission constraint condition, wherein the total power generation is the sum of the power generation of the hydropower, the thermal power and the green power in the study area, and the total external transmission is the sum of the external transmission of the hydropower, the thermal power and the green power in the study area; and / or Determine the total transmission power of each transmission line in the study area to be less than or equal to the predetermined transmission power of the transmission line as the total transmission power constraint condition, wherein the total transmission power is the sum of the transmission power of the hydropower, the thermal power and the green power; and / or Determining the green electricity transmission quantity constraint condition as that the green electricity transmission quantity of each transmission line in the study area is less than or equal to a predetermined green electricity transmission quantity; and / or The energy balance constraint condition is determined as follows: the sum of the energies of the transmission lines for the hydropower, thermal power and green power in the study area is equal to zero, wherein the energy is the product of a connection matrix and the transmission power of each of the hydropower, thermal power and green power, and the connection matrix is ​​a matrix of the transmission lines in the study area and the connection nodes at both ends of the transmission lines.

4. The method according to claim 3, characterized in that The method further comprises: Determining the annual maximum transmission capacity of each transmission line in the study area as the predetermined transmission amount; and The product of the maximum transmission ratio of the green electricity in the transmission line and the total transmission amount of the transmission line is determined as the predetermined transmission amount of the green electricity.

5. The method according to claim 1, characterized in that The second objective function is to maximize the total revenue obtained by the power generation enterprises in the study area from participating in the power market, and the second constraint condition is to construct a decision model for the power generation enterprises, including: Determine the sum of the revenues obtained by the power generation enterprises in the study area from selling electricity in the conventional electric energy transaction, the green electricity transaction and the green certificate transaction and the revenues obtained from the green certificate transaction as the second objective function; and The second constraint condition is that the power generation of each type of electricity by the power generation enterprise in the study area is less than or equal to the predetermined power generation of each type of electricity.

6. The method according to claim 1, characterized in that The third constraint condition includes a power demand constraint condition and a renewable energy quota system demand constraint condition; The third objective function is to minimize the total electricity purchase cost of electricity consumers in the study area participating in the electricity market, and the third constraint condition is to construct a consumer decision model, including: Minimize the sum of the total assets of green electricity, hydropower, thermal power and green certificates purchased by electricity consumers in the study area when participating in the electricity market, to obtain the third objective function; Determining as the power demand constraint condition that the purchase amount of the green electricity, the hydropower and the thermal power purchased by the power consumers in the study area when participating in the power market is equal to the predetermined power demand amount; and The renewable energy quota system demand constraint conditions are determined as follows: the amount of non-hydro green electricity purchased by electricity consumers in the study area when participating in the electricity market is greater than or equal to the preset non-hydro green electricity quota demand and / or the amount of hydropower purchased is greater than or equal to the preset hydropower quota demand.

7. The method according to claim 1, characterized in that The market equilibrium conditions include conventional electricity energy equilibrium conditions, green electricity equilibrium conditions and green certificate equilibrium conditions; The market equilibrium condition is constructed based on the supply and demand balance of the conventional electric energy transaction, the green electricity transaction and the green certificate transaction in the research area as a constraint, including: Determining that the supply of the hydropower transaction and the thermal power transaction in the study area is equal to the demand as the conventional electric energy balance condition; Determining that the supply of the green electricity transaction in the study area is equal to the demand as the green electricity equilibrium condition; and The green certificate equilibrium condition is determined as the supply quantity of the green certificate transactions in the research area being equal to the demand quantity.

8. The method according to claim 1, characterized in that The power market equilibrium model is used to output the power generation of various types of power and the transmission power of each transmission line, including: Obtain the unit generation cost of various types of electricity in the power system; Obtaining the annual maximum transmission capacity of each transmission line in the study area; Obtaining a matrix of the transmission line and connection nodes at both ends of the transmission line in the study area; Obtain the annual maximum utilization hours and installed capacity of each type of electricity; The unit generation cost of the various types of electricity, the annual maximum transmission capacity of each of the transmission lines, the matrix, and the annual maximum utilization hours and installed capacity of the various types of electricity are input into the electricity market equilibrium model, and the generation of the various types of electricity and the transmission power of each of the transmission lines are output.

9. A power market equilibrium analysis device considering green electricity and green certificate trading, characterized in that: The device comprises: A first building module is used to build an independent system operator decision model with minimizing the total cost of electricity in the power system as a first objective function and balancing the power of the electricity as a first constraint condition; The second construction module is used to construct a decision model for power generation enterprises by maximizing the total revenue obtained by power generation enterprises in the study area from participating in the power market as the second objective function and taking the maximum power generation of the power generation enterprises as the second constraint condition, wherein the power market includes conventional power energy transactions, green power transactions and green certificate transactions, and the conventional power energy transactions include hydropower transactions and thermal power transactions; A third construction module is used to construct a consumer decision model by minimizing the total electricity purchase cost of electricity consumers in the study area participating in the electricity market as a third objective function and taking the green electricity consumption responsibility weight as a third constraint condition; A fourth construction module is used to construct a market equilibrium condition based on the supply and demand balance of the conventional electric energy transaction, the green electricity transaction and the green certificate transaction in the study area as a constraint; a fifth building module, configured to build a power market equilibrium model based on the independent system operator decision model, the power generation enterprise decision model, the consumer decision model and the market equilibrium condition; and The analysis module is used to output the power generation of various types of electricity and the transmission power of each transmission line by using the power market equilibrium model.

10. An electronic device comprising: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 8.

Images