Virtual power plant operation method and system considering carbon emission reduction value

Abstract

The invention discloses a virtual power plant operation method considering a carbon emission reduction value, and belongs to the field of low-carbon economic dispatching of virtual power plants. The method comprises the following steps: proposing a metering method for direct carbon emission and indirect carbon emission of a virtual power plant system, and establishing a carbon emission model of a virtual power plant; based on the carbon emission model of the virtual power plant, a carbon capture device is not considered, and a net carbon transaction cost model is constructed; constructing a virtual power plant economic operation cost calculation model based on a net carbon transaction cost model under a carbon perspective; based on the virtual power plant economic operation cost calculation model, taking power plant power generation, wind and light power generation, demand side scheduling, carbon transaction and power transaction comprehensive cost optimization as a target to construct a low-carbon economic scheduling model; using a Cplex solver to carry out optimization solution on the objective function of the low-carbon economic dispatching model; under the condition of considering carbon emission reduction, the carbon emission of the virtual power plant is reduced, the operation cost of the virtual power plant is reduced, and the virtual power plant is promoted to be transformed to a low-carbon and economic sustainable development mode.

Description

Technical Field

[0001] The present invention belongs to the field of low-carbon economic dispatching of virtual power plants, and specifically relates to a virtual power plant operation method and system that considers the value of carbon emission reduction. Background Art

[0002] Virtual power plants are an effective technical carrier and business model for managing and fully utilizing distributed power sources, flexible adjustable loads, and distributed energy storage. They play a positive and significant role in calling flexible load resources, improving system operation efficiency, and ensuring grid supply. In addition, carbon emission reduction is an important task in the current power energy sector, and the management of carbon assets is a new proposition that energy companies must pay great attention to.

[0003] The construction and operation of traditional virtual power plants are often considered from the perspective of electricity supply and demand balance, and there is a lack of examination of virtual power plants from a "carbon" perspective. Virtual power plants have excellent energy-saving and emission reduction effects, but they involve massive user assets and participate in the operation and scheduling of large systems. In this process, incorporating virtual power plants from a carbon perspective has important theoretical research value and practical engineering application value. Summary of the invention

[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a virtual power plant operation method and system that takes into account the value of carbon emission reduction, thereby solving the problems in the prior art.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A virtual power plant operation method considering carbon emission reduction value comprises the following steps:

[0007] Propose a method for measuring direct and indirect carbon emissions of virtual power plant systems and establish a carbon emission model for virtual power plants;

[0008] Based on the carbon emission model of the virtual power plant, without considering the carbon capture device, a net carbon trading cost model is constructed;

[0009] From a carbon perspective, a virtual power plant economic operation cost calculation model is constructed based on the net carbon transaction cost model;

[0010] Based on the virtual power plant economic operation cost calculation model, a low-carbon economic dispatch model is constructed with the goal of optimizing the comprehensive costs of power plant power generation, wind and solar power generation, demand-side dispatch, carbon trading, and electricity trading;

[0011] The objective function of the low-carbon economic dispatch model is optimized using Matlab's Cplex solver.

[0012] Furthermore, the carbon emission model expression of the virtual power plant is:

[0013] E C =E p +E U

[0014]

[0015] Where: E C is the carbon emissions of the virtual power plant, E p is the carbon emission of the gas turbine, E U Carbon emissions generated by grid interaction; P i，t is the total power of gas generator set i during period t; δ i is the carbon emission intensity of unit i; is the unit power carbon emission coefficient of the power grid; is the power of interaction between the virtual power plant and the grid at time t; N GT is the number of gas turbines; T is a certain carbon measurement time period of the virtual power plant.

[0016] Furthermore, the net carbon transaction cost model is:

[0017] F C，t =K CO2 (E c -E q )

[0018]

[0019] In the formula, F C，t is the net carbon transaction cost, K CO2 is the reward or penalty amount per unit of carbon emissions, E q is the carbon quota; N GT is the total number of gas turbines; T and λ U are the carbon quota factors for gas turbines and the power grid, respectively; is the power generation of the nth gas turbine at time t; is the interaction power between VPP and the grid at time t.

[0020] Furthermore, the economic operation cost calculation model of the virtual power plant is:

[0021] F=F D，t +F C，t -F P，t

[0022]

[0023] Where F is the economic operation cost of the virtual power plant, F D，t is the virtual power plant dispatch cost, F C，t is the net carbon transaction cost, FP，t For electricity trading income; is the demand-side dispatch cost, is the power generation cost of the gas turbine unit, The cost of wind and solar power generation is The cost of energy storage; and are the electricity purchase and sales at time t respectively; and are the purchase price and sales price of electricity at time t respectively.

[0024] Furthermore, the demand-side dispatch cost for:

[0025]

[0026] Where: α DR , β DR , γ DR is the scheduling coefficient;

[0027] The gas turbine power generation cost for:

[0028]

[0029] Where: a i 、b i 、c i is the fuel cost coefficient of gas unit i;

[0030] The energy storage cost for:

[0031]

[0032] Where: ε is a state variable representing 0 or 1; is the charging and discharging power of the energy storage device at time t; is the unit operating cost of the energy storage equipment.

[0033] Furthermore, the objective function of the low-carbon economic dispatch model is:

[0034] F min =F D，t +F C，t -F P，t .

[0035] A virtual power plant operation system considering carbon emission reduction value, comprising:

[0036] Carbon emission model building module: proposes a method for measuring direct and indirect carbon emissions of a virtual power plant system and establishes a carbon emission model for a virtual power plant;

[0037] Carbon transaction cost model building module: based on the carbon emission model of the virtual power plant, without considering the carbon capture device, a net carbon transaction cost model is built;

[0038] Operation cost model building module: from a carbon perspective, based on the net carbon transaction cost model, a virtual power plant economic operation cost calculation model is built;

[0039] Economic dispatch model construction module: Based on the virtual power plant economic operation cost calculation model, a low-carbon economic dispatch model is constructed with the goal of optimizing the comprehensive costs of power plant power generation, wind and solar power generation, demand-side dispatch, carbon trading, and electricity trading;

[0040] And, model solving module: use Matlab's Cplex solver to optimize the objective function of the low-carbon economic dispatch model.

[0041] A computer storage medium stores a readable program, which, when running, can execute the above-mentioned virtual power plant operation method that takes into account the carbon emission reduction value.

[0042] An electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus;

[0043] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the above-mentioned virtual power plant operation method considering the carbon emission reduction value.

[0044] A computer program product includes computer instructions, wherein the computer instructions instruct a computing device to execute operations corresponding to the above-mentioned virtual power plant operation method considering the carbon emission reduction value.

[0045] Beneficial effects of the present invention:

[0046] 1. The operating method of the present invention analyzes the carbon emission reduction benefits formed by the construction and operation of virtual power plants, takes carbon emission reduction as one of the important indicators of construction and operation, forms a virtual power plant construction and operation model that considers carbon emission reduction factors, and supports the development of virtual power plant construction and operation from a carbon perspective.

[0047] 2. The present invention establishes a virtual power plant economic operation cost calculation model, takes the optimization of the comprehensive cost of power plant power generation, wind and solar power generation, demand-side scheduling, carbon trading, and electricity trading as the goal, and realizes low-carbon economic scheduling of virtual power plants. While considering carbon emission reduction, it reduces the carbon emissions of virtual power plants and reduces the operating costs of virtual power plants, thereby promoting the transformation of virtual power plants to a low-carbon, economical and sustainable development model. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0049] Figure 1 is a flow chart of the virtual power plant operation method of the present invention;

[0050] Figure 2 This is the 24-hour wind and solar power generation and load forecast diagram in Example 2 of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] Example 1

[0053] like Figure 1 As shown, a virtual power plant operation method considering carbon emission reduction value includes the following steps:

[0054] S1, propose a method to measure direct and indirect carbon emissions of virtual power plant systems and establish a carbon emission model for virtual power plants;

[0055] In the virtual power plant structure including wind power, photovoltaics, gas turbines, and energy storage equipment, the direct carbon emissions mainly involve the carbon emissions of gas turbines. p , Carbon emissions from grid interaction E U ,in:

[0056]

[0057] Where: P i，t is the total power of gas generator set i during period t; δ i is the carbon emission intensity of unit i; is the unit power carbon emission coefficient of the power grid; is the power of interaction between the virtual power plant and the grid at time t; N GT is the number of gas turbines; T is a certain carbon measurement time period of the virtual power plant.

[0058] Build a carbon emission model for a virtual power plant and calculate the carbon emissions E of the virtual power plant C as follows:

[0059] EC =E p +E U (3)

[0060] In order to accurately measure carbon emissions in the system and avoid the problem of repeated measurement of carbon emissions, the Greenhouse Gas Protocol proposes the concepts of carbon emission scopes 1, 2, and 3. For a system where resources are dispatched by a virtual power plant, the system carbon emissions are divided into three parts: scope 1: direct greenhouse gas emissions; scope 2: indirect greenhouse gas emissions from electricity; scope 3: other indirect greenhouse gas emissions. Among them, the carbon emissions in scope 1 come from emission sources owned or controlled within the system, which can be directly calculated by the measurement method of direct carbon emissions. Scope 2 emissions refer to indirect emissions related to the transfer of electricity and heat consumed by activities within the system boundary, that is, the indirect carbon emissions of virtual power plants that need to be considered. Transfer-in refers to the transfer from outside the system boundary to inside the boundary, and the relevant energy is used for internal consumption. Transfer-out refers to the transfer from inside the system boundary to outside the boundary. Net transfer-in refers to the amount of transfer-in minus the amount of transfer-out.

[0061] When measuring indirect carbon emissions, it is necessary to avoid the problem of double counting. For example, for an electricity producer, scope 1 emissions can be counted as scope 2 emissions of the electricity end user, so it is not possible to claim ownership of scope 1 or scope 2 at the same time. For virtual power plants, different accounting systems need to calculate different carbon emission scopes: if only accounting is done for power producers, there is only scope 1; if only accounting is done for the user side, there is only scope 2; if it is for a system composed of power producers and users, there is only scope 1, because at this time the power supply is also within the system and can only be considered as direct carbon emissions. This calculation method avoids the problem of double counting. When the virtual power plant outputs power to the outside, the carbon emissions that the accounting unit needs to measure belong to scope 1; when the virtual power plant needs to take power from the outside, that is, for a load-type virtual power plant, the carbon emissions caused by its use of external power belong to scope 2. Both scopes 1 and 2 need to be considered when measuring carbon.

[0062] S2, constructing a net carbon transaction cost model based on the carbon emission model of the virtual power plant without considering the carbon capture device;

[0063] Considering virtual power plants from a carbon perspective, the carbon quota is proportional to the power generation of the unit. This allocation method can encourage the reduction of carbon emissions and effectively improve the utilization rate of clean energy.

[0064] The system carbon quota is as follows:

[0065]

[0066] Where: N GT is the total number of gas turbines; Tand λ U The carbon quota coefficients for gas turbines and power grids are: is the power generation of the nth gas turbine at time t; is the interaction power between VPP and the grid at time t.

[0067] When carbon emissions are higher than the carbon quota, a corresponding penalty cost needs to be paid, and when carbon emissions are lower than the carbon quota, a corresponding reward profit can be obtained. The carbon trading cost obtained in this process is F C，t .

[0068] The carbon emission can be calculated by formula (1), (2), (3) as E c , calculated by formula (4), the carbon quota is E q , net carbon transaction cost F C，t (i.e., the net carbon transaction cost model) is:

[0069] F C，t =K CO2 (E c -E q ) (5)

[0070] Where: K CO2 is the reward or penalty amount per unit of carbon emissions, in RMB / kg. c ≥E q When F C，t represents the goal of minimizing the system carbon trading cost; when E c < E q When F C，t It is expressed as the goal of maximizing carbon trading revenue. Maximizing revenue can be equivalent to minimizing negative costs.

[0071] S3, from a carbon perspective, based on the net carbon transaction cost model, a virtual power plant economic operation cost calculation model is constructed;

[0072] The economic operation cost calculation model of virtual power plant is expressed as:

[0073] F=F D，t +F C，t -F P，t (6)

[0074] Where F is the economic operation cost of the virtual power plant, F D，t is the virtual power plant dispatch cost, F C，t is the net carbon transaction cost, F P，t For electricity trading income;

[0075] Virtual power plant dispatch cost F D，t The calculation formula is:

[0076]

[0077] In the formula, is the demand-side dispatch cost, is the power generation cost of the gas turbine unit, Cost of wind and solar power generation The cost of energy storage.

[0078] (1) Demand-side dispatch costs

[0079] Users sign an agreement with the power grid and, as a distributed resource of a virtual power plant, adjust their own electricity consumption behavior according to demand, thereby ensuring the normal operation of the power system. It can be expressed as:

[0080]

[0081] Where: α DR , β DR , γ DR is the scheduling factor.

[0082] (2) Gas turbine power generation cost

[0083] Gas turbines are the main source of carbon emissions. Their operating costs are related to their output. It can be expressed as:

[0084]

[0085] Where: a i 、b i 、c i is the fuel cost coefficient of gas generator set i.

[0086] (3) Wind and solar power generation costs

[0087] As a clean energy power generation, wind and solar power generation is an effective way to generate zero carbon emissions. Improving the effective absorption of wind and solar power is an important goal of the green economic development of virtual power plants. However, considering the instability and cost of wind and solar power generation, when there is an excess of installed capacity of renewable energy, wind and solar power will be abandoned to ensure the stability of the power grid. In terms of electricity, virtual power plants do not require fuel costs, and the marginal cost of wind and solar power is zero. In the virtual power plant model established in this article, with a scheduling cycle of 24 hours, the cost of wind power generation and photovoltaic power generation can be ignored.

[0088] Among them, the wind and solar power generation power balance formula is as follows:

[0089]

[0090] Where: is the total power generation of wind and solar power in period t; is the amount of wind power used in period t; is the amount of photovoltaic power used in period t; is the amount of wind and solar power abandoned in period t. In this embodiment, the cost of solar power generation is Can be considered as 0.

[0091] (4) Energy storage costs

[0092] Distributed energy storage in virtual power plants can play the role of "peak shaving and valley filling", converting electrical energy into chemical energy, mechanical energy and other forms of energy when not needed, and releasing it when needed to meet electricity demand. In a virtual power plant system that includes wind and solar power generation, considering the uncertainty of wind and solar power generation, complete energy storage equipment is required to ensure the power balance of the system. Energy storage cost It can be expressed as:

[0093]

[0094] Where: ε is a state variable representing 0 or 1; is the charging and discharging power of the energy storage device at time t; is the unit operating cost of the energy storage device. When the energy storage device is charged, ε=1; when the energy storage device is discharging, ε=0.

[0095] Electricity trading income F P，t :

[0096] The virtual power plant is connected to the power grid and can provide a variety of services to the power grid. In the process of interacting with the power grid, there is a process of purchasing or selling electricity from the power grid. The interactive benefits between the virtual power plant and the power grid are F P，t It can be expressed as:

[0097]

[0098] In the formula, and are the electricity purchase and sales at time t respectively; and are the purchase price and sales price of electricity at time t respectively.

[0099] S4, based on the virtual power plant economic operation cost calculation model, with the goal of optimizing the comprehensive cost of power plant power generation, wind and solar power generation, demand-side scheduling, carbon trading, and electricity trading, a low-carbon economic scheduling model is constructed;

[0100] F min =FD，t +F C，t -F P，t (13)

[0101] S5, uses Matlab's Cplex solver to optimize the objective function of the low-carbon economic dispatch model.

[0102] The constraints when solving with Cplex include:

[0103] (1) Virtual power plant power constraints:

[0104]

[0105] In the formula, is the total load of the system at time t;

[0106] (2) Constraints of gas turbine power generation:

[0107]

[0108] In the formula, and are the minimum output power and maximum output power of the i-th unit at time t respectively.

[0109] (3) Wind power and photovoltaic constraints:

[0110]

[0111] (4) Energy storage charging and discharging constraints:

[0112]

[0113] Where: and They are respectively the minimum limiting power and maximum limiting power of the energy storage equipment.

[0114] (5) Demand-side response constraints:

[0115]

[0116] Where: is the upper limit of demand response output in period t; It is the dispatchable demand response quantity within the dispatch period.

[0117] (6) Grid interaction power constraints:

[0118]

[0119] Where: The maximum power provided to the grid.

[0120] Based on similar inventive concepts, an embodiment of the present invention provides an electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus;

[0121] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the above-mentioned operation of the virtual power plant operation method considering the carbon capture device.

[0122] Based on similar inventive concepts, an embodiment of the present invention further provides a computer program product, including computer instructions, which instruct a computing device to execute operations corresponding to the above-mentioned method for operating a virtual power plant considering a carbon capture device.

[0123] Example 2

[0124] In this embodiment, the effectiveness of the virtual power plant operation method of the present invention is verified through specific cases;

[0125] The distributed resources aggregated by the virtual power plant include distributed wind turbines, photovoltaic units, gas turbine units, demand-side resources, energy storage equipment, and electricity loads.

[0126] When calculating carbon trading, set the parameter value: the carbon emission quota of the power grid λ U Take 0.877kg / kWh; carbon emission quota of gas turbine unit λ T is 0.156kg / kWh; the carbon trading price K CO2 Take 0.252 yuan / kg. The carbon emission factor within 24 hours is as follows, in units of kg / KWh.

[0127] [0.91, 0.95, 0.98 0.90 0.93 0.94 0.91 0.92 0.97 0.97 0.89 0.91 0.930.95 0.92 0.94 0.99 0.95 0.96 0.94 0.92 0.92 0.93 0.90].

[0128] When calculating electricity transactions, the maximum limit of interaction between the virtual power plant and the power grid shall not exceed 5000KW. The electricity sales price and electricity purchase price for interaction with the power grid within 24 hours are set as follows, and the unit is: Yuan / KW.

[0129] Electricity purchase price: [0.25 0.25 0.25 0.25 0.25 0.25 0.53 0.53 0.53 0.82 0.820.82 0.82 0.8 0.53 0.53 0.53 0.82 0.82 0.53 0.53 0.53].

[0130] Electricity selling price: [0.22 0.22 0.22 0.22 0.22 0.22 0.42 0.42 0.42 0.65 0.650.65 0.65 0.65 0.42 0.42 0.42 0.65 0.65 0.42 0.42 0.42 0.42].

[0131] When calculating the dispatch cost, the maximum value of the demand response shall not exceed 0.1 times the system load; the cost coefficient of DR dispatch α DR , β DR , γ DR Take 0.98 yuan per MW -2 ·h -1 , 28.2 yuan·MW -1 ·h -1 , 360.1 yuan / h; unit operating cost of energy storage equipment Take 0.4 yuan / kW.

[0132] Assume that there are four gas turbine units without carbon capture devices in the system, the upper limit of the unit output is 5000KW, and the lower limit is 1KW. Their parameters are set as follows:

[0133] GT1, GT2, GT3, GT4 i 、b i 、c i They are 0.0514, 160.55, 10234.5; 0.0514, 160.55, 10234.5; 0.1197, 189.77, 8078.3;

[0137] 0.0266, 191.23, 26355.1.

[0138] The installed capacity of wind turbines and photovoltaic units is 2MW, and the standard deviations of wind power output, photovoltaic output and load forecast errors are set to 10%, 10% and 5% of the predicted values, respectively. The unit power generation cost of wind power is 0.6 yuan / KW, the unit power generation cost of photovoltaic power is 0.3 yuan / KW, and the unit cost of wind and solar abandonment is 0.6 yuan / KW. The code for generating uncertain scenarios based on hypercube sampling is random because the number of generated scenarios is relatively small, and it is necessary to run it several times to find the most ideal scenario to make the results meet expectations.

[0139] Based on the above data, a 24-hour forecast of wind power generation, photovoltaic power generation, and load-side power consumption is generated for the virtual power plant operation cost calculation model, such as Figure 2 shown.

[0140] The low-carbon operation of virtual power plants is calculated without considering demand-side response and with considering demand-side response, and the carbon emissions, carbon trading costs and total costs are compared.

[0141] The calculation data results are shown in Table 1:

[0142] Table 1 Calculation results of virtual power plant scenarios

[0143]

[0144] When calculating the carbon trading cost, if the carbon emissions are higher than the carbon quota, a corresponding fine needs to be paid for the excess carbon emissions; if the system carbon emissions are lower than the carbon quota, the excess carbon quota can be sold to obtain carbon income. As shown in Table 1, the reduction in carbon emissions is much higher than the reduction in carbon quotas, so a corresponding fine needs to be borne. Without considering the demand-side response, the carbon trading cost it bears is higher. This is because when considering the demand-side response, the output of the gas turbine unit is reduced, the net carbon emissions are lower, and the carbon quota allocated to the system is reduced. According to formula (5), the carbon trading cost considering the demand-side response is lower.

[0145] If the penalty rules are adjusted, the carbon trading costs will change. CO2 When the carbon trading cost F increases, under the same carbon emissions, C，t To reduce the operating costs of virtual power plants, it is necessary to strengthen the carbon trading mechanism and obtain higher profits by selling excess carbon. It is necessary to formulate reasonable strategies based on demand and achieve low carbon as much as possible under the premise of economic optimization.

[0146] As shown in Table 1, the total cost of operating a virtual power plant in scenario 2 is 1.88% higher than that in scenario 1. The main function of demand-side response is to reduce the output of gas turbine units in the system, reduce some carbon emissions, and reduce the cost of power generation from gas turbine units. However, the dispatch of demand-side response also requires costs, so the total cost will increase slightly. From the data, the operating cost of a virtual power plant is not very sensitive to changes in demand response.

[0147] The results show that the virtual power plant operation model in this paper can effectively reduce the overall carbon emissions of virtual power plants, increase carbon trading revenue, reduce the operating costs of virtual power plants, and realize low-carbon economic operation of virtual power plants.

[0148] Example 3

[0149] In this embodiment, a virtual power plant operation system considering the value of carbon emission reduction is proposed, which specifically includes:

[0150] Carbon emission model building module: proposes a method for measuring direct and indirect carbon emissions of a virtual power plant system and establishes a carbon emission model for a virtual power plant;

[0151] Carbon transaction cost model building module: based on the carbon emission model of the virtual power plant, without considering the carbon capture device, a net carbon transaction cost model is built;

[0152] Operation cost model building module: from a carbon perspective, based on the net carbon transaction cost model, a virtual power plant economic operation cost calculation model is built;

[0153] Economic dispatch model construction module: Based on the virtual power plant economic operation cost calculation model, a low-carbon economic dispatch model is constructed with the goal of optimizing the comprehensive costs of power plant power generation, wind and solar power generation, demand-side dispatch, carbon trading, and electricity trading;

[0154] And the model solving module: use Matlab's Cplex solver to optimize the objective function of the low-carbon economic dispatch model.

[0155] The method of the present invention may be implemented in hardware, firmware, or as software or computer code that may be stored in a recording medium (such as a CDROM, RAM, floppy disk, hard disk, or magneto-optical disk), or as computer code that is originally stored in a remote recording medium or a non-temporary machine-readable medium downloaded over a network and will be stored in a local recording medium, so that the method described herein may be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware (such as an ASIC or FPGA). It is understood that a computer, processor, microprocessor controller, or programmable hardware includes a storage component (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by a computer, processor, or hardware, the method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the method shown herein, the execution of the code converts the general-purpose computer into a dedicated computer for executing the method shown herein.

[0156] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A virtual power plant operation method considering the carbon emission reduction value, characterized in that: The following steps are involved: Propose a method for measuring direct and indirect carbon emissions of virtual power plant systems and establish a carbon emission model for virtual power plants; Based on the carbon emission model of the virtual power plant, without considering the carbon capture device, a net carbon trading cost model is constructed; From a carbon perspective, a virtual power plant economic operation cost calculation model is constructed based on the net carbon transaction cost model; Based on the virtual power plant economic operation cost calculation model, a low-carbon economic dispatch model is constructed with the goal of optimizing the comprehensive costs of power plant power generation, wind and solar power generation, demand-side dispatch, carbon trading, and electricity trading; The objective function of the low-carbon economic dispatch model is optimized using Matlab's Cplex solver.

2. A virtual power plant operation method considering carbon emission reduction value according to claim 1, characterized in that: The carbon emission model expression of the virtual power plant is: AND C =And p +E U Where: E C is the carbon emissions of the virtual power plant, E p is the carbon emission of the gas turbine, E U Carbon emissions generated by grid interaction; P i，t is the total power of gas generator set i during period t; δ i is the carbon emission intensity of unit i; is the unit power carbon emission coefficient of the power grid; is the power of interaction between the virtual power plant and the grid at time t; N GT is the number of gas turbines; T is a certain carbon measurement time period of the virtual power plant.

3. A virtual power plant operation method considering carbon emission reduction value according to claim 2, characterized in that: The net carbon transaction cost model is: F C,t =K CO2 (E c -E q ) In the formula, F C，t is the net carbon transaction cost, K CO2 is the reward or penalty amount per unit of carbon emissions, E q is the carbon quota; N GT is the total number of gas turbines; T and λ U are the carbon quota factors for gas turbines and the power grid, respectively; is the power generation of the nth gas turbine at time t; is the interaction power between VPP and the grid at time t.

4. A virtual power plant operation method considering carbon emission reduction value according to claim 3, characterized in that: The economic operation cost calculation model of the virtual power plant is: F=F D,t +F C,t -F P,t Where F is the economic operation cost of the virtual power plant, F D,t is the virtual power plant dispatch cost, F C,t is the net carbon transaction cost, F P,t For electricity trading income; is the demand-side dispatch cost, is the power generation cost of the gas turbine unit, The cost of wind and solar power generation is The cost of energy storage; and are the electricity purchase and sales at time t respectively; and are the purchase price and sales price of electricity at time t respectively.

5. A virtual power plant operation method considering carbon emission reduction value according to claim 4, characterized in that: The demand side dispatch cost for: Where: α DR , β DR , γ DR is the scheduling coefficient; The gas turbine power generation cost for: Where: a i 、b i 、c i is the fuel cost coefficient of gas unit i; The energy storage cost for: Where: ε is a state variable representing 0 or 1; is the charging and discharging power of the energy storage device at time t; is the unit operating cost of the energy storage equipment.

6. A virtual power plant operation method considering carbon emission reduction value according to claim 5, characterized in that: The objective function of the low-carbon economic dispatch model is: F min =F D,t +F C，t -F P,t 。 7. A virtual power plant operation system considering the value of carbon emission reduction, characterized in that: include: Carbon emission model building module: proposes a method for measuring direct and indirect carbon emissions of a virtual power plant system and establishes a carbon emission model for a virtual power plant; Carbon transaction cost model building module: based on the carbon emission model of the virtual power plant, without considering the carbon capture device, a net carbon transaction cost model is built; Operation cost model building module: from a carbon perspective, based on the net carbon transaction cost model, a virtual power plant economic operation cost calculation model is built; Economic dispatch model construction module: Based on the virtual power plant economic operation cost calculation model, a low-carbon economic dispatch model is constructed with the goal of optimizing the comprehensive costs of power plant power generation, wind and solar power generation, demand-side dispatch, carbon trading, and electricity trading; And, model solving module: use Matlab's Cplex solver to optimize the objective function of the low-carbon economic dispatch model.

8. A computer storage medium storing a readable program, characterized in that: When the program is running, it can execute a virtual power plant operation method taking into account the carbon emission reduction value as described in any one of claims 1-6.

9. An electronic device, characterized in that: include: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to a virtual power plant operation method that considers carbon emission reduction value as described in any one of claims 1-6.

10. A computer program product comprising computer instructions, characterized in that: The computer instructions instruct the computing device to perform operations corresponding to a virtual power plant operation method that takes into account the carbon emission reduction value as described in any one of claims 1-6.

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