Method and device for flexibly adjusting comprehensive value of resources in carbon-electricity-certificate three-market coupling environment

Abstract

The invention discloses a method and a device for flexibly adjusting the comprehensive value of resources in a carbon-electricity-certificate three-market coupling environment, and aims to minimize the operation cost of the carbon-electricity-certificate three-market based on the system-level constraint of the operation of the carbon-electricity-certificate three-market and the individual-level constraint of the main body participating in the market clearing. A carbon-electricity-certificate three-market coupling clearing model is constructed; dividing the comprehensive value of the flexibility adjustment resource to be depicted into three types of adjustment values according to the characteristics of the flexibility adjustment resource, and representing the three types of adjustment values by using a Lagrange multiplier; wherein the three types of adjustment values comprise an adjustment range value, an adjustment time value and an adjustment rate value; according to the carbon-electricity-certificate three-market coupling clearing model and the Lagrange multipliers corresponding to the three types of adjustment values, an augmented Lagrange function is constructed; and solving the augmented Lagrangian function to obtain values of Lagrangian multipliers corresponding to the three types of adjustment values, and representing the comprehensive value of the flexible adjustment resource in the carbon-electricity-certificate three-market coupling environment by using the values of the Lagrangian multipliers corresponding to the three types of adjustment values. The purpose of the invention is to accurately evaluate the value of the flexible adjustment resource in the carbon-electricity-certificate three-market coupling environment.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy and power system management, and relates to a method and device for depicting the comprehensive value of flexibility regulation resources in a carbon-electricity-certificate market coupling environment. Background Art

[0002] With the continuous innovation and transformation of the power system, it has become an industry consensus to seek a new power operation mode that is low-carbon, environmentally friendly, efficient and stable. In this transformation process, flexible adjustment resources, with their unique low-carbon characteristics and high adjustment capabilities, have gradually become a key factor in ensuring the balanced operation and stable development of the power system under the dual carbon goals. Flexible adjustment resources include but are not limited to energy storage facilities, demand response systems and adjustable loads, which play an irreplaceable role in coping with the volatility of renewable energy power generation, ensuring the safety and stability of the power grid, and promoting the efficient use of clean energy. Specifically, energy storage facilities, such as various types of battery energy storage systems, can store excess electricity during the peak period of renewable energy power generation, and release electricity during peak demand or insufficient renewable energy power generation, effectively alleviating the impact of the volatility of renewable energy power generation on the operation of the power grid. The demand response system achieves a dynamic balance between power supply and demand by intelligently regulating the power consumption behavior of users, further enhancing the safety and stability of the power grid. Adjustable loads, such as industrial power equipment, can adjust the power consumption according to the grid dispatching instructions under the premise of ensuring normal production, providing support for the flexible dispatching of the power system.

[0003] Although these flexible regulation resources play a pivotal role in the power system, the current market's awareness of the comprehensive value of flexible regulation resources is still insufficient. Due to the imperfect value assessment system, the value of these resources in the market has not been fully recognized, which in turn affects the motivation for their construction investment. In order to promote the widespread application and sustainable development of flexible regulation resources, it is particularly important to deeply explore and enhance the comprehensive value of flexible regulation resources.

[0004] Systematic research on the value laws of flexible regulation resources has become an urgent problem to be solved. This requires us not only to pay attention to the direct contribution of these resources to the operation of the power system, but also to deeply analyze their potential value in promoting the efficient use of clean energy, promoting the clean transformation of electricity, and assisting low-carbon development. Especially in the context of the increasingly close coupling of the current carbon trading market, the electricity market, and the green certificate market (referred to as the "carbon-electricity-certificate three markets"), how to accurately evaluate the value of flexible regulation resources in the carbon-electricity-certificate three market coupling environment has become a scientific problem that needs to be solved urgently. Therefore, conducting relevant research and establishing a scientific and reasonable value assessment system are of great significance to promoting the widespread application and sustainable development of flexible regulation resources. Summary of the invention

[0005] In view of the problems existing in the prior art, the present invention provides a method and device for characterizing the comprehensive value of flexibility regulation resources in a carbon-electricity-certificate triple-market coupling environment, aiming to accurately evaluate the value of flexible regulation resources in the carbon-electricity-certificate triple-market coupling environment.

[0006] To solve the above technical problems, the present invention is realized through the following technical solutions:

[0007] According to the first aspect of the present invention, there is provided a method for characterizing the comprehensive value of flexibility regulation resources in a carbon-electricity-certificate triple-market coupling environment, including:

[0008] Based on the system-level constraints of the operation of the carbon-electricity-certificate triple-market and the individual-level constraints of the entities participating in the market clearing, with the goal of minimizing the operation cost of the carbon-electricity-certificate triple-market, a carbon-electricity-certificate triple-market coupling clearing model is constructed; wherein, the carbon-electricity-certificate triple-market includes a carbon trading market, an electricity market, and a green certificate trading market;

[0009] According to the characteristics of the flexibility regulation resources, the comprehensive value of the flexibility regulation resources to be characterized is divided into three types of regulation values, and the three types of regulation values are characterized by Lagrange multipliers; wherein, the three types of regulation values include regulation range value, regulation time value, and regulation rate value;

[0010] According to the carbon-electricity-certificate triple-market coupling clearing model and the Lagrange multipliers corresponding to the three types of regulation values, an augmented Lagrangian function is constructed;

[0011] The augmented Lagrangian function is solved to obtain the values of the Lagrange multipliers corresponding to the three types of regulation values, and the values of the Lagrange multipliers corresponding to the three types of regulation values are used to characterize the comprehensive value of the flexibility regulation resources in the carbon-electricity-certificate triple-market coupling environment.

[0012] In a possible implementation manner of the first aspect, the system-level constraints of the operation of the carbon-electricity-certificate triple-market include:

[0013] System power balance constraints for each time period:

[0014]

[0015] In the formula, is the power generation of the coal-fired unit at time t; N F is the number of coal-fired units in the system; i F is the serial number of the coal-fired unit; is the power generation of the renewable energy unit at time t; N R is the number of renewable energy units in the system; i R is the serial number of the renewable energy unit; The regulation power of flexible regulation resources at time t; N ESS The number of flexible regulation resources in the system; i ESS The serial number of the flexible regulation resources The load of electricity users at time t; N D The number of electricity users in the system; i D The serial number of the electricity user

[0016] The system thermal reserve constraints for each time period:

[0017]

[0018]

[0019] In the formula, is the upward regulation spinning reserve demand of the system at time t; R(t) is the downward regulation spinning reserve demand of the system at time t; For coal-fired unit i F The upper and lower limits of the power

[0020] The green certificate quantity constraints in the green certificate trading market:

[0021]

[0022] In the formula, α G,R is the green certificate conversion coefficient of renewable energy power generators; is the sold quantity of green certificates of renewable energy power generators at time t; α G,F is the green certificate quota coefficient of coal-fired units; For coal-fired unit i F The green certificate purchase quantity at time t; T is the total number of assessment time periods;

[0023] The section power flow constraints for each time period:

[0024]

[0025] P l (t) ≤ P l

[0026] In the formula, P l (t) is the power flow of section l at time t; P l is the upper and lower limits of the power flow of section l.

[0027] In a possible implementation manner of the first aspect, the individual-level constraints of the entities participating in the market clearing include the individual-level constraints of coal-fired units, the individual-level constraints of flexible regulation resources, and the output constraints of renewable energy units;

[0028] The individual-level constraints of the coal-fired units include:

[0029] The upper and lower limits of the power output of each coal-fired unit in each trading period:

[0030]

[0031] In the formula, and are the maximum power and minimum power of coal-fired unit i F respectively;

[0032] The ramp-up / ramp-down constraints of each coal-fired unit between adjacent time points t-1 and t:

[0033]

[0034] In the formula, is the maximum ramp rate of coal-fired unit i F ;

[0035] The carbon emission constraint of each coal-fired unit in a trading cycle:

[0036] Q car (i F ) + Q 0 (i F ) - Emi(i F ) ≥ 0

[0037] In the formula, Q car (i F ) is the carbon emission quota that coal-fired unit i F needs to purchase in a trading cycle; Q 0 (i F ) is the initial free-allocated carbon quota of coal-fired unit i F ; Emi(i F ) is the carbon emission of coal-fired unit i F in the trading cycle;

[0038] The individual-level constraints of the flexibility regulation resources include:

[0039] The upper and lower limits of the power regulation capacity of the flexibility regulation resources during the regulation process:

[0040]

[0041] In the formula, are the upper and lower limits of the regulation power of the flexibility regulation resources;

[0042] The energy constraint of the flexibility regulation resources at each moment:

[0043]

[0044] In the formula, is the capacity of the flexibility regulation resource at time t; are the upper and lower limits of the capacity of the flexibility regulation resource; t 0 is the initial time of a trading cycle;

[0045] Terminal value constraint of the flexibility regulation resource:

[0046]

[0047] In the formula, t final is the end time of a trading cycle;

[0048] The output constraint of the renewable energy unit is:

[0049]

[0050] In the formula, is the upper power limit of the renewable energy unit i R at time t.

[0051] In a possible implementation manner of the first aspect, the carbon - electricity - certificate three - market coupling clearing model is:

[0052] min I = min C E + C G + C C

[0053]

[0054]

[0055] In the formula, C E is the operating cost of the electricity market; is the power generation cost of the coal - fired unit; and are both the power generation cost coefficients of the coal - fired unit; is the operating cost of the flexibility regulation resource; is the unit regulation cost of the flexibility regulation resource, set as a fixed value; C C is the operating cost of the carbon trading market; λ C is the price of the carbon quota, and the price of the carbon quota is set as a fixed value; C G is the operating cost of the green certificate trading market; λ G is the green certificate price, set as a fixed value.

[0056] In a possible implementation manner of the first aspect, according to the characteristics of the flexibility regulation resource, the comprehensive value of the flexibility regulation resource to be characterized is divided into three types of regulation values, specifically:

[0057] The regulation power constraint of flexible regulation resources during the regulation process reflects the regulation range value of flexible regulation resources;

[0058] The energy constraint of flexible regulation resources during the regulation process reflects the regulation time value of flexible regulation resources;

[0059] The climbing / sliding rate of flexible regulation resources during the regulation process reflects the regulation rate value of flexible regulation resources.

[0060] In a possible implementation manner of the first aspect, the augmented Lagrangian function is:

[0061]

[0062] In the formula, ρ(t) represents the value of the provided electrical energy; represents the value of the upper limit of the power flow of section l; η l (t) represents the value of the lower limit of the power flow of section l; and respectively represent the values of the upper and lower limits of the regulation range of the coal-fired unit; and respectively represent the values of the power increase and decrease rates of the coal-fired unit; and represent the values of the upper and lower limits of the regulation range of the energy storage; and represent the values of the upper and lower limits of the regulation time of the energy storage.

[0063] According to the second aspect of the present invention, there is provided a device for characterizing the comprehensive value of flexible regulation resources in a carbon-electricity-certificate three-market coupling environment, including:

[0064] A first construction module, configured to construct a carbon-electricity-certificate three-market coupling clearing model with the goal of minimizing the operating cost of the carbon-electricity-certificate three-market based on the system-level constraints of the operation of the carbon-electricity-certificate three-market and the individual-level constraints of the entities participating in the market clearing; wherein, the carbon-electricity-certificate three-market includes a carbon trading market, a power market, and a green certificate trading market;

[0065] A division module, configured to divide the comprehensive value of the flexible regulation resources to be characterized into three types of regulation values according to the characteristics of the flexible regulation resources, and use Lagrange multipliers to represent the three types of regulation values; wherein, the three types of regulation values include regulation range value, regulation time value, and regulation rate value;

[0066] A second construction module, configured to construct an augmented Lagrangian function according to the carbon-electricity-certificate three-market coupling clearing model and the Lagrange multipliers corresponding to the three types of regulation values;

[0067] A solution module, configured to solve the augmented Lagrangian function to obtain the values of the Lagrange multipliers corresponding to the three types of regulation values, and use the values of the Lagrange multipliers corresponding to the three types of regulation values to represent the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment.

[0068] According to the third aspect of the present invention, there is provided a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment is implemented.

[0069] According to the fourth aspect of the present invention, there is provided a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment is implemented.

[0070] According to the fifth aspect of the present invention, there is provided a computer program product, and when the computer program product is executed by a processor, the method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment is implemented.

[0071] Compared with the prior art, the present invention has at least the following beneficial effects:

[0072] The method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment provided by the present invention can comprehensively consider the interaction and influence between different markets by constructing a carbon-electricity-certificate three-market coupling clearing model with the participation of flexibility regulation resources. According to the characteristics demonstrated by flexibility regulation resources in the power system regulation process, the comprehensive value of flexibility regulation resources is divided into three types of regulation values. Using the Lagrange multiplier, it can reflect the marginal contribution of each unit of flexibility regulation resource to meeting specific market constraints (such as power supply and demand balance, carbon emission quota restrictions, green certificate requirements, etc.) when the market reaches equilibrium; by quantifying the value of flexibility resources in different markets, and then understanding its contribution degree to the comprehensive benefit of the entire carbon-electricity-certificate coupling system, the comprehensive regulation value of flexibility regulation resources to the three markets in the case of carbon-electricity-certificate three-market coupling can be more intuitively characterized. The present invention can construct a carbon-electricity-certificate three-market coupling clearing model to reflect in real time the change in the value of flexibility regulation resources caused by the adjustment of energy policies and the behavior changes of market participants, ensuring the timeliness and accuracy of the evaluation results.

[0073] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given, and in conjunction with the accompanying drawings, the detailed description is as follows. Brief Description of the Drawings

[0074] To more clearly illustrate the technical solutions in the specific embodiments of the present invention, the following will briefly introduce the drawings required for the description of the specific embodiments. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0075] Figure 1 It is a flowchart of a method for depicting the comprehensive value of flexibility regulation resources in the carbon - electricity - certificate three - market coupling environment of the present invention.

[0076] Figure 2 It is a 5 - node example diagram for the test of the embodiment of the present invention.

[0077] Figure 3 It is a power variation diagram when the upper limit of charge - discharge power is 30 MW in the embodiment of the present invention.

[0078] Figure 4 It is a power variation diagram when the upper limit of charge - discharge power is 120 MW in the embodiment of the present invention.

[0079] Figure 5 It is a marginal value variation diagram when the upper limit of charge - discharge power is 30 MW in the embodiment of the present invention.

[0080] Figure 6 It is a marginal value variation diagram when the upper limit of charge - discharge power is 120 MW in the embodiment of the present invention.

[0081] Figure 7 It is a wind power output situation diagram when the upper limit of charge - discharge power is 30 MW in the embodiment of the present invention.

[0082] Figure 8 It is a wind power output situation diagram when the upper limit of charge - discharge power is 120 MW in the embodiment of the present invention.

[0083] Figure 9 It is a power variation diagram of a coal - fired power unit when the ramp rates are 30, 20, 1 MW / h in the embodiment of the present invention.

[0084] Figure 10 It is a power variation diagram of a coal - fired power unit when the ramp rates are 50, 40, 20 MW / h in the embodiment of the present invention.

[0085] Figure 11 It is a marginal value variation diagram of a coal - fired power unit when the ramp rates are 30, 20, 1 MW / h in the embodiment of the present invention.

[0086] Figure 12It is a graph showing the change in the marginal value of a coal-fired power unit when the climbing rate in the embodiments of the present invention is 50, 40, and 20 MW / h.

[0087] Figure 13 It is a graph showing the power change when the upper limit of the charge capacity in the embodiments of the present invention is 90 MWh.

[0088] Figure 14 It is a graph showing the power change when the upper limit of the charge capacity in the embodiments of the present invention is 180 MWh.

[0089] Figure 15 It is a graph showing the change in the marginal value when the upper limit of the charge capacity in the embodiments of the present invention is 90 MWh.

[0090] Figure 16 It is a graph showing the change in the marginal value when the upper limit of the charge capacity in the embodiments of the present invention is 180 MWh. Detailed implementation manners

[0091] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0092] As Figure 1 shown, the embodiments of the present invention provide a method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment, specifically including the following steps:

[0093] S1. Based on the system-level constraints of the operation of the carbon-electricity-certificate three-markets and the individual-level constraints of the entities participating in the market clearing, with the goal of minimizing the operation cost of the carbon-electricity-certificate three-markets, a carbon-electricity-certificate three-market coupling clearing model is constructed; wherein, the carbon-electricity-certificate three-markets include a carbon trading market, an electricity market, and a green certificate trading market.

[0094] In an implementable manner, the system-level constraints of the operation of the carbon-electricity-certificate three-markets include:

[0095] System power balance constraints for each time period:

[0096]

[0097] In the formula, is the power generation of the coal-fired power unit at time t; N F is the number of coal-fired power units in the system; i F is the serial number of the coal-fired power unit; is the power generation of the renewable energy unit at time t; NR is the number of renewable energy units in the system; i R is the serial number of the renewable energy unit; is the regulation power of the flexibility regulation resource at time t; N ESS is the number of flexibility regulation resources in the system; i ESS is the serial number of the flexibility regulation resource; is the load of the electricity user at time t; N D is the number of electricity users in the system; i D is the serial number of the electricity user.

[0098] System thermal reserve constraints for each time period:

[0099]

[0100] In the formula, is the upward spinning reserve demand of the system at time t; R(t) is the downward spinning reserve demand of the system at time t; is the coal-fired unit i F upper and lower power limits.

[0101] Green certificate quantity constraints in the green certificate trading market:

[0102]

[0103] In the formula, α G,R is the green certificate conversion coefficient of the renewable energy power generator; is the sold quantity of the green certificate of the renewable energy power generator at time t; α G,F is the green certificate quota coefficient of the coal-fired unit; is the coal-fired unit i F green certificate purchase quantity at time t; T is the total number of assessment periods.

[0104] Section power flow constraints for each time period:

[0105]

[0106] P l (t) ≤ P l

[0107] In the formula, P l (t) is the power flow power of section l at time t; P l are the upper and lower limits of the power flow of section l.

[0108] In one realizable manner, the individual-level constraints of the entities participating in the market clearing include the individual-level constraints of coal-fired units, the individual-level constraints of flexibility regulation resources, and the output constraints of renewable energy units, which are specifically as follows:

[0109] The individual - level constraints of the coal - fired units include:

[0110] The upper and lower limits of the output of each coal - fired unit in each trading period:

[0111]

[0112] In the formula, and are the maximum power and minimum power of coal - fired unit i respectively; F

[0113] The ramping - up / ramping - down constraints of each coal - fired unit between adjacent time points t - 1 and t:

[0114]

[0115] In the formula, is the maximum ramping rate of coal - fired unit i; F

[0116] The carbon emission constraint of each coal - fired unit in a trading cycle:

[0117] Q car (i F )+Q 0 (i F )-Emi(i F )≥0

[0118] In the formula, Q car (i F ) is the carbon emission quota that coal - fired unit i needs to purchase within a trading cycle; Q F (i 0 ) is the initial free - allocated carbon quota of coal - fired unit i; Emi(i F ) is the carbon emission of coal - fired unit i within the trading cycle; F F F

[0119] The individual - level constraints of the flexibility regulation resources include:

[0120] The upper and lower limits of the power regulation capacity of the flexibility regulation resources during the regulation process:

[0121]

[0122] In the formula, are the upper and lower limits of the regulation power of the flexibility regulation resources;

[0123] The energy constraint of the flexibility regulation resources at each moment:

[0124] ​​​​​

[0125] In the formula, is the capacity of the flexibility regulation resource at time t; are the upper and lower limits of the capacity of the flexibility regulation resource; t 0 is the initial time of a trading period;

[0126] Terminal value constraint of the flexibility regulation resource:

[0127]

[0128] In the formula, t final is the end time of a trading period;

[0129] The output constraint of the renewable energy unit is:

[0130]

[0131] In the formula, is the upper power limit of the renewable energy unit i R at time t.

[0132] Specifically, the carbon - electricity - certificate three - market coupling clearing model is:

[0133] min I = min C E + C G + C C

[0134] Among them, the optimization goal of the electricity market is set to minimize the power generation cost on the power generation side, expressed as:

[0135]

[0136] The optimization goal of the carbon trading market is set to minimize the carbon emissions in the system, expressed as minimizing the cost of purchasing carbon quotas for the overall system, expressed as:

[0137]

[0138] The optimization goal of the green certificate trading market is expressed as minimizing the cost of purchasing green certificates for the overall system, expressed as:

[0139]

[0140] In the above formulas, C E is the operating cost of the electricity market; is the power generation cost of the coal - fired unit; and are both power generation cost coefficients of the coal - fired unit; is the operating cost of the flexibility regulation resource; To adjust the regulation cost of the flexibility regulation resource for flexibility, it is set as a fixed value; C C is the operating cost of the carbon trading market; λ C is the price of carbon quotas, and the price of carbon quotas is set as a fixed value; C G is the operating cost of the green certificate trading market; λ G is the green certificate price, which is set as a fixed value.

[0141] S2. According to the characteristics of the flexibility regulation resource, the comprehensive value of the flexibility regulation resource to be characterized is divided into three types of regulation values, and the three types of regulation values are characterized by Lagrange multipliers; among them, the three types of regulation values include the regulation range value, the regulation time value, and the regulation rate value.

[0142] In an implementable manner, according to the characteristics of the flexibility regulation resource, the comprehensive value of the flexibility regulation resource to be characterized is divided into three types of regulation values, specifically:

[0143] The regulation power constraint of the flexibility regulation resource during the regulation process reflects the regulation range value of the flexibility regulation resource; exemplarily, the charging and discharging power of the energy storage device reflects the regulation range value of the flexibility regulation resource during the regulation process.

[0144] The energy constraint of the flexibility regulation resource during the regulation process reflects the regulation time value of the flexibility regulation resource; exemplarily, the SOC capacity of the energy storage device reflects the regulation time value of the flexibility regulation resource during the regulation process.

[0145] The climbing / sliding rate of the flexibility regulation resource during the regulation process reflects the regulation rate value of the flexibility regulation resource; exemplarily, the climbing / sliding rate of the coal-fired unit reflects the regulation rate value of the flexibility regulation resource during the regulation process.

[0146] S3. According to the carbon-electricity-certificate three-market coupled clearing model and the Lagrange multipliers corresponding to the three types of regulation values, an augmented Lagrangian function is constructed.

[0147] Specifically, the augmented Lagrangian function is:

[0148]

[0149] In the formula, ρ(t) represents the value of providing electric energy; represents the value of the upper limit of the power flow of section l; η l (t) represents the value of the lower limit of the power flow of section l; and respectively represent the values of the upper and lower limits of the regulation range of the coal-fired unit; and Respectively represent the values of the upward and downward power adjustment rates of coal-fired power units; and represent the values of the upper and lower limits of the energy storage regulation range; and represent the values of the upper and lower limits of the energy storage regulation time.

[0150] S4. Solve the augmented Lagrangian function to obtain the values of the Lagrange multipliers corresponding to the three types of regulation values, and use the values of the Lagrange multipliers corresponding to the three types of regulation values to represent the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment.

[0151] Exemplarily, the augmented Lagrangian multiplier method is used to solve the augmented Lagrangian function.

[0152] Next, combined with a simulation case, a method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment will be described in more detail.

[0153] Combined with Figure 2 as shown, select the power system of PJM5 node, which includes three coal-fired power units, one wind power unit, two energy storage power stations, and the loads of each node.

[0154] The calculation task is executed on a personal computer equipped with an Intel Core i7-12700 processor (2.1GHz) and 16GB RAM. Under the default settings, Matlab2022b and Gurobi 10.0.3 are used to model and solve the constructed scenario.

[0155] In one embodiment, the parameters of the coal-fired power units are set as shown in Table 1.

[0156] Table 1 Unit parameter values

[0157]

[0158] Set the parameters of the energy storage power station as shown in Table 2.

[0159] Table 2 Energy storage parameter values

[0160]

[0161] By changing the constraints corresponding to the regulation range value of the flexibility regulation resources, that is, the upper limit of the charge and discharge power of the energy storage power station, and performing multiple solutions, the optimal solution of the three-market coupling clearing and the cost changes of each market are obtained, as shown in Table 3.

[0162] Table 3 Three-market cost / benefit changes

[0163]

[0164]

[0165] It can be easily seen from the data in Table 3 that increasing the upper limit of the charge-discharge power of the energy storage power station (i.e., the regulation ability of the flexible regulation resources) can effectively increase the respective revenues of the three markets, reduce the market operation cost. In the solution, the partial derivative of the upper limit of the charge-discharge power of the energy storage power station is taken, and the corresponding Lagrange multiplier represents the value of the energy storage regulation range. The charge-discharge power change of the energy storage power station in each period within the trading cycle and the value change it represents are as Figures 3 to 6 shown, indicating that the value of the regulation range of the flexible regulation resources can be characterized.

[0166] In addition, the change situations of the predicted output and the actual output of the wind power when different upper limits of the charge-discharge power are set are obtained, as Figure 7 、 Figure 8 shown. It can be seen that due to the greatly increased regulation range, the wind power can be fully absorbed at this time, the production of green certificates is increased, the carbon emissions of the coal-fired units are reduced, and the revenue of the carbon certificate market is increased.

[0167] By increasing the upper limit of the charge-discharge power of the energy storage power station, sufficient regulation resources can be provided in the periods that originally urgently needed energy storage regulation, enabling the value of the energy storage regulation range at this moment to be fully explored and maximally utilized, and then making the marginal value gradually approach zero, achieving the optimal allocation of resources and the improvement of economy.

[0168] In another embodiment, the unit parameters are set as shown in Table 4.

[0169] Table 4 Unit parameter values

[0170]

[0171] The parameters of the energy storage power station are set as shown in Table 5.

[0172] Table 5 Energy storage parameter values

[0173]

[0174]

[0175] By changing the constraint corresponding to the regulation rate value of the flexible regulation resources, that is, the ramp / down-ramp rate of the coal-fired unit, and performing multiple solutions, the optimal solution of the three-market coupled clearing and the cost changes of each market are obtained, as shown in Table 6.

[0176] Table 6 Three-market cost / revenue changes

[0177]

[0178] It is not difficult to see from the data in Table 6 that increasing the ramping rate of coal-fired units can effectively increase the revenue of each of the three markets and reduce the market operation cost. In the solution, the partial derivative of the upper limit of the ramping rate of coal-fired units is taken, and the corresponding Lagrange multiplier represents the value of the regulation rate of flexible regulation resources. The generating power and the ramping value of coal-fired units in each period within the trading cycle are obtained as Figures 9 to 12 shown, indicating that the value of the regulation rate of flexible regulation resources can be characterized.

[0179] In another embodiment, the unit parameters are set as shown in Table 7.

[0180] Table 7 Unit parameter values

[0181]

[0182] The parameters of the energy storage power station are set as shown in Table 8.

[0183] Table 8 Energy storage parameter values

[0184]

[0185]

[0186] By changing the constraint corresponding to the regulation time value of flexible regulation resources, that is, the upper limit of the charge capacity of the energy storage power station, multiple solutions are carried out to obtain the optimal solution of the three-market coupled clearing and the cost changes of each market, as shown in Table 9.

[0187] Table 9 Cost / revenue changes of the three markets

[0188]

[0189] It is not difficult to see from the data in Table 9 that increasing the upper limit of the charge capacity of the energy storage power station can effectively increase the revenue of each of the three markets and reduce the market operation cost. In the solution, the partial derivative of the upper limit of the charge capacity of the energy storage power station is taken, and the corresponding multiplier represents the value of the regulation time of flexible regulation resources. The state of charge and the charge capacity value of the energy storage in each period within the trading cycle are obtained as Figures 13 to 16 shown, indicating that the value of the regulation time of flexible regulation resources can be characterized.

[0190] In summary, the three types of regulation values can indeed be characterized by changing the corresponding parameters of flexible regulation resources. These parameters reflect the performance characteristics and regulation capabilities of flexible regulation resources in the power system and are important bases for evaluating their comprehensive value.

[0191] In summary, the present invention is a mathematical modeling and optimization method for power market analysis, which can flexibly adjust the problem of representing the value of resource adjustment ability under the coupled clearing of the power market, carbon trading market, and green certificate trading market. By using the method of constructing an augmented Lagrangian function to solve and calculate the Lagrange multipliers that can reflect the adjustment value, the utilization of the corresponding adjustment ability value can be effectively represented.

[0192] The embodiment of the present invention provides a device for characterizing the comprehensive value of flexible adjustment resources in a carbon-electricity-certificate three-market coupling environment, which is used to implement the foregoing method for characterizing the comprehensive value of flexible adjustment resources in a carbon-electricity-certificate three-market coupling environment, and specifically includes the following modules:

[0193] The first construction module is used to construct a carbon-electricity-certificate three-market coupled clearing model with the goal of minimizing the operating cost of the carbon-electricity-certificate three-market based on the system-level constraints of the operation of the carbon-electricity-certificate three-market and the individual-level constraints of the entities participating in the market clearing; wherein, the carbon-electricity-certificate three-market includes a carbon trading market, a power market, and a green certificate trading market.

[0194] The division module is used to divide the comprehensive value of the flexible adjustment resources to be characterized into three types of adjustment values according to the characteristics of the flexible adjustment resources, and use Lagrange multipliers to represent the three types of adjustment values; wherein, the three types of adjustment values include the adjustment range value, the adjustment time value, and the adjustment rate value.

[0195] The second construction module is used to construct an augmented Lagrangian function according to the carbon-electricity-certificate three-market coupled clearing model and the Lagrange multipliers corresponding to the three types of adjustment values.

[0196] The solution module is used to solve the augmented Lagrangian function to obtain the values of the Lagrange multipliers corresponding to the three types of adjustment values, and use the values of the Lagrange multipliers corresponding to the three types of adjustment values to represent the comprehensive value of the flexible adjustment resources in the carbon-electricity-certificate three-market coupling environment.

[0197] All relevant content of each step involved in the embodiment of the foregoing method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment can be cited in the function description of the corresponding functional modules of an apparatus for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment in the embodiments of the present invention, and will not be elaborated herein. The division of modules in the embodiments of the present invention is illustrative, merely a logical function division. In actual implementation, there may be other division methods. Additionally, in each embodiment of the present invention, the functional modules can be integrated in a processor, can exist separately physically, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0198] In another embodiment of the present invention, a computer device is provided. The computer device includes a processor and a memory. The memory is used to store a computer program, and the computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function. The processor described in the embodiments of the present invention can be used for the operation of a method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment.

[0199] In another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and, of course, the extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, and this storage space stores the operating system of the terminal. And, in this storage space, there is also stored one or more instructions suitable for being loaded and executed by the processor. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The one or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the corresponding steps of the method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment in the above embodiments.

[0200] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0201] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one or more flows or multiple flows and / or blocks Figure 1 one or more blocks or multiple blocks.

[0202] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions in the flow Figure 1one process or multiple processes and / or boxes Figure 1 the functions specified in one box or multiple boxes.

[0203] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process or multiple processes and / or boxes Figure 1 one process or multiple processes and / or boxes Figure 1 the steps for implementing the functions specified in one box or multiple boxes.

[0204] The present invention also provides a computer program product, because the computer program product is used to execute any one of the above-mentioned methods for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment. Since the computer program product provided by the present invention and the above-mentioned method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment belong to the same inventive concept, the computer program product provided by the present invention has all the advantages of the above-mentioned method for characterizing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment. Therefore, the beneficial effects of the computer program product provided by the present invention will not be elaborated one by one here.

[0205] In the present invention, the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0206] Finally, it should be noted that the above-described embodiments are only specific embodiments of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that any person skilled in the technical field can still modify the technical solutions recorded in the foregoing embodiments or easily conceive of changes, or perform equivalent replacements on some of the technical features; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims described.

Claims

1. A method for describing the comprehensive value of flexible regulation resources in the coupled carbon, electricity and certificate markets, characterized in that: include: Based on the system-level constraints of the operation of the carbon-electricity-certificate market and the individual-level constraints of the entities participating in the market clearing, a carbon-electricity-certificate market coupling clearing model is constructed with the goal of minimizing the operation cost of the carbon-electricity-certificate market; wherein the carbon-electricity-certificate market includes the carbon trading market, the electricity market and the green certificate trading market; According to the characteristics of the flexibility regulation resources, the comprehensive value of the flexibility regulation resources to be characterized is divided into three types of regulation values, and the three types of regulation values ​​are characterized by Lagrange multipliers; wherein the three types of regulation values ​​include regulation range value, regulation time value and regulation rate value; According to the carbon-electricity-certificate three-market coupled clearing model and the Lagrangian multipliers corresponding to the three types of adjustment values, an augmented Lagrangian function is constructed; Solve the augmented Lagrangian function to obtain the values ​​of the Lagrangian multipliers corresponding to the three types of regulation values, and use the values ​​of the Lagrangian multipliers corresponding to the three types of regulation values ​​to represent the comprehensive value of flexibility regulation resources under the coupling environment of the carbon-electricity-certificate markets.

2. According to claim 1, a method for describing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate market coupling environment is characterized in that: The system-level constraints for the operation of the carbon-electricity-certificate market include: System power balance constraints in each time period: In the formula, is the power generation capacity of the coal-fired unit at time t; N F is the number of coal-fired units in the system; i F is the serial number of the coal-fired unit; is the power generation of the renewable energy unit at time t; N R is the number of renewable energy units in the system; i R is the serial number of the renewable energy unit; is the adjustment power of the flexibility adjustment resource at time t; N ESS Adjust the amount of resources for flexibility within the system; i ESS Adjust the sequence number of resources for flexibility; is the load of the electricity user at time t; N D is the number of electricity users in the system; i D The serial number of the electricity user; System hot standby constraints for each period: In the formula, is the upward adjustment spinning reserve demand of the system at time t; R(t) is the downward adjustment spinning reserve demand of the system at time t; For coal-fired units F The upper and lower limits of power; Green certificate quantity constraints in the green certificate trading market: In the formula, α G,R Green certificate conversion factor for renewable energy power generators; is the sales volume of green certificates of renewable energy power generators at time t; α G,F The green certificate quota coefficient for coal-fired units; For coal-fired units F The amount of green certificates purchased at time t; T is the total number of assessment periods; Section flow constraints in each period: P l (t)≤ P l Where P l (t) is the tidal power of section l at time t; P l are the upper and lower limits of the tidal flow in section l.

3. A method for describing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate market coupling environment according to claim 2, characterized in that: The individual-level constraints of the entities participating in the market clearing include individual-level constraints of coal-fired units, individual-level constraints of flexible regulation resources and output constraints of renewable energy units; The individual level constraints of the coal-fired units include: The upper and lower limits of output of each coal-fired unit in each trading period are: In the formula, and Coal-fired units F Maximum power and minimum power; The climbing / slipping constraints of each coal-fired unit between adjacent time points t-1 and t: In the formula, For coal-fired units F Maximum climbing rate; Carbon emission constraints for each coal-fired unit in a trading cycle: Q car (i F )+Q0(i F )-Emi(i F )≥0 In the formula, Q car (i F ) is a coal-fired unit i in a trading cycle F Carbon emission quotas to be purchased; Q0(i F ) is the coal-fired unit i F Initial free allocation of carbon quotas; Emi(i F ) is the coal-fired unit i F Carbon emissions during the trading cycle; The flexibility adjustment resource individual level constraints include: The upper and lower limits of the power regulation capability of the flexible regulation resources during the regulation process are as follows: In the formula, Adjust the upper and lower limits of power for flexibility adjustment resources; Flexibility adjusts the energy constraints of resources at each moment: In the formula, Flexibility to adjust the capacity of resources at time t; The upper and lower limits of resource capacity are adjusted for flexibility; t0 is the initial moment of a transaction cycle; Flexibility regulates the terminal value constraints of resources: In the formula, t final The end moment of a trading cycle; The output constraint of the renewable energy unit is: In the formula, Renewable energy units R The power cap at time t.

4. A method for describing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate market coupling environment according to claim 3, characterized in that: The carbon-electricity-certificate three-market coupled clearing model is: my I=my C E +C G +C C In the formula, C E The operating costs of the electricity market; is the electricity generation cost of coal-fired units; and All are the power generation cost coefficients of coal-fired units; Adjusting the operating costs of resources for flexibility; The resource unit adjustment cost is set to a fixed value for flexibility adjustment; C C is the operating cost of the carbon trading market; C is the price of carbon quota, which is set as a fixed value; C G is the operating cost of the green certificate trading market; G It is the green certificate price, which is set as a fixed value.

5. A method for describing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate market coupling environment according to claim 4, characterized in that: According to the characteristics of the flexibility adjustment resources, the comprehensive value of the flexibility adjustment resources to be characterized is divided into three types of adjustment values, specifically: The adjustment power constraint of the flexible adjustment resource during the adjustment process reflects the adjustment range value of the flexible adjustment resource; The energy constraint of flexible regulation resources in the regulation process reflects the regulation time value of flexible regulation resources; The climbing / sliding rate of the flexible adjustment resources during the adjustment process reflects the adjustment rate value of the flexible adjustment resources.

6. A method for describing the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate market coupling environment according to claim 5, characterized in that: The augmented Lagrangian function is: In the formula, ρ(t) represents the value of the electrical energy provided; Characterize the value of the upper limit of the power flow of section l; η l (t) represents the value of the lower limit of the power flow of section l; and The values ​​that characterize the upper and lower limits of the regulation range of coal-fired units, respectively; and The values ​​that characterize the rates of power increase and decrease of coal-fired units respectively; and Characterize the value of the upper and lower limits of the energy storage regulation range; and Characterize the value of the upper and lower limits of energy storage regulation time.

7. A device for describing the comprehensive value of flexible regulation resources in the coupled carbon, electricity and certificate markets, characterized in that: include: The first building module is used to build a carbon-electricity-certificate three-market coupled clearing model based on the system-level constraints of the operation of the carbon-electricity-certificate three-market and the individual-level constraints of the entities participating in the market clearing, with the goal of minimizing the operation cost of the carbon-electricity-certificate three-market; wherein the carbon-electricity-certificate three-market includes the carbon trading market, the electricity market and the green certificate trading market; A division module is used to divide the comprehensive value of the flexibility adjustment resource to be characterized into three types of adjustment values ​​according to the characteristics of the flexibility adjustment resource, and characterize the three types of adjustment values ​​with Lagrange multipliers; wherein the three types of adjustment values ​​include adjustment range value, adjustment time value and adjustment rate value; The second construction module is used to construct an augmented Lagrangian function based on the carbon-electricity-certificate three-market coupled clearing model and the Lagrangian multipliers corresponding to the three types of adjustment values; A solution module is used to solve the augmented Lagrangian function to obtain the values ​​of the Lagrangian multipliers corresponding to the three types of regulation values, and use the values ​​of the Lagrangian multipliers corresponding to the three types of regulation values ​​to represent the comprehensive value of flexibility regulation resources in the carbon-electricity-certificate three-market coupling environment.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements a method for characterizing the comprehensive value of flexibility regulation resources in a carbon-electricity-certificate market coupling environment as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it implements a method for characterizing the comprehensive value of flexibility regulation resources in a carbon-electricity-certificate market coupling environment as described in any one of claims 1 to 6.

10. A computer program product, characterized in that When the computer program product is executed by a processor, it implements a method for characterizing the comprehensive value of flexibility regulation resources in a carbon-electricity-certificate market coupling environment as described in any one of claims 1 to 6.

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