Micro-grid flexible load adjusting method based on dynamic carbon emission factors
By establishing a dynamic carbon emission factor model of microgrid and a flexible load low-carbon demand response model, combined with the space-time transfer characteristics of energy storage equipment, a flexible load low-carbon regulation method model is built, which solves the problem of flexible load low-carbon regulation in the microgrid and realizes the low-carbon operation of the microgrid.
Patent Information
- Application Number
- CN202510220114.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-06-10
- Estimated Expiration
- 2045-02-27
AI Technical Summary
The prior art is difficult to effectively respond to the low-carbon regulation demand for flexible loads in microgrids, especially in the case of time-degeneration of dynamic carbon emission factors.
By establishing a dynamic carbon emission factor model of the microgrid and a flexible load low-carbon demand response model, combined with the space-time transfer characteristics of energy storage equipment, a flexible load low-carbon regulation method model is constructed, and the flexible load of the microgrid is adjusted with the minimum carbon emission as the objective function.
It realizes low-carbon regulation of flexible load of microgrids, and can comprehensively consider load balance and time-varying of dynamic carbon emission factors, improving the low-carbon operation capability of microgrids.
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Figure CN120127686A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of renewable energy power supply, and in particular to a microgrid flexible load regulation method based on dynamic carbon emission factors. Background Art
[0002] In recent years, as energy demand has grown worldwide, derivative problems have become more severe. Not only is there an energy shortage, but a series of problems have also followed, including an increase in carbon emissions.
[0003] Therefore, with the proposal of carbon reduction targets, all countries are vigorously promoting the construction of a new power system that integrates renewable energy supply. On the one hand, the new power system can alleviate the shortage of traditional energy through renewable energy output, and on the other hand, it can also use the clean characteristics of renewable energy to reduce carbon emissions in the power supply process, thereby achieving carbon reduction targets.
[0004] At present, distributed renewable energy has been developed on a large scale. A large amount of renewable energy makes the carbon emission factor of the power grid no longer fixed, but will change with the power generation of renewable energy at different times. For large-scale power grid environment, a small amount of carbon emission fluctuation will not significantly change the scheduling strategy; but for microgrid (Micro-Grid, also known as: microgrid, refers to a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, loads, monitoring and protection devices, etc.), the impact is greater, and the corresponding scheduling strategy needs to be changed. Furthermore, since microgrids are full of different types of flexible and adjustable loads, considering demand response as a method to improve the flexibility of system scheduling has been widely used.
[0005] However, in the existing technology, microgrids focus more on system operation stability or operation economy goals and cannot respond well to carbon reduction needs. Therefore, low-carbon regulation methods for microgrid flexible loads should be studied.
[0006] At present, most related studies focus on load-side demand response and microgrid operating costs and carbon emissions, and rarely combine flexible load regulation with the time-varying carbon emissions caused by dynamic carbon emission factors, especially the impact of different dispatching sequences of dispatchable resources on the system. In reality, the carbon emission factor will change according to the proportion of green electricity (in the process of producing electricity, carbon dioxide emissions are zero or close to zero, and the main sources include solar energy, wind power, biomass energy, and geothermal energy) in the grid and the proportion of green points in the park, and flexible loads have the characteristics of being adjustable within the dispatch cycle.
[0007] Therefore, a flexible load regulation method for a microgrid based on dynamic carbon emission factors is also proposed, which can comprehensively consider the load balance of the microgrid and the time-variability of the corrected dynamic carbon emission factors of the microgrid to achieve low-carbon regulation of flexible loads in the face of low-carbon regulation of flexible loads in the microgrid. Summary of the Invention
[0008] In view of the problems existing in the prior art, the present invention provides a flexible load regulation method for a microgrid that comprehensively considers the load balance of the microgrid and the time-variability of the corrected dynamic carbon emission factors of the microgrid.
[0009] To achieve the above object, the technical solution adopted by the present invention is as follows:
[0010] The present invention provides a flexible load regulation method for a microgrid based on dynamic carbon emission factors, which includes the following steps:
[0011] Model the power equipment in the microgrid and obtain the operation model of the power equipment;
[0012] Based on the operation model of the power equipment and the dynamic green power ratio in the microgrid power purchase process, construct a microgrid dynamic carbon emission factor model, and solve the microgrid dynamic carbon emission factor model to obtain the microgrid dynamic carbon emission factor;
[0013] Construct a flexible load low-carbon demand response model based on flexible load characteristics and an initial scheduling strategy;
[0014] Based on the microgrid dynamic carbon emission factor and the flexible load low-carbon demand response model, construct a flexible load low-carbon regulation method model; the flexible load low-carbon regulation method model takes the minimum carbon emission as the objective function;
[0015] By solving the flexible load low-carbon regulation method model, a flexible load regulation method for the microgrid is obtained.
[0016] Optionally, the power equipment in the microgrid includes fossil energy generating units, renewable energy generating units, energy storage devices, and flexible loads.
[0017] Optionally, the operation model of the fossil energy generating unit includes:
[0018] An output model based on output constraints and a start-stop model based on control strategies.
[0019] Optionally, the renewable energy generating units include distributed photovoltaic generating units and decentralized wind generating units;
[0020] The operation model of the photovoltaic generating unit includes a photovoltaic output model based on output fluctuation parameters;
[0021] The operation model of the wind power generation unit includes a wind power output model based on the output fluctuation parameter.
[0022] Optionally, the operation model of the energy storage device includes an operation state model based on the energy storage limit condition.
[0023] Optionally, the calculation of the microgrid dynamic carbon emission factor model includes the following steps:
[0024] Calculate the carbon emissions of electricity purchased by the microgrid based on time series;
[0025] Calculate the carbon emissions of the power generation equipment in the microgrid based on time series;
[0026] Normalize the carbon emissions of electricity purchased and the carbon emissions of power generation to obtain the microgrid dynamic carbon emission factor;
[0027] Correct the microgrid dynamic carbon emission factor through the energy storage device dynamic carbon emission factor to obtain the microgrid corrected dynamic carbon emission factor.
[0028] Optionally, the correction method includes the following steps:
[0029] Calculate the carbon emissions of the energy storage device under time series conditions based on the operation state of the energy storage device, and solve the dynamic carbon emission factor of the energy storage device based on the carbon emissions of the energy storage device;
[0030] Superimpose the microgrid dynamic carbon emission factor and the energy storage device dynamic carbon emission factor under time series conditions to obtain the microgrid corrected dynamic carbon emission factor.
[0031] Optionally, the flexible load characteristics include translatable, transferable, and reducible.
[0032] Optionally, the function of the flexible load low-carbon regulation method model is the calculation formula for the total carbon emissions of the microgrid within a preset time period;
[0033] The summation terms of the calculation formula for the total carbon emissions of the microgrid include the carbon emissions of fixed loads, translatable loads, transferable loads, and reducible loads.
[0034] Optionally, the flexible load low-carbon regulation method model is also provided with constraint conditions;
[0035] The constraint conditions at least include a power balance constraint condition.
[0036] Compared with the prior art, the present invention has the following beneficial effects:
[0037] The present invention establishes an operation model of microgrid power equipment, proposes a dynamic carbon emission factor model for the microgrid, and establishes a low-carbon demand response model for flexible loads. Finally, a low-carbon regulation method for flexible loads is proposed. By solving the model related to the dynamic carbon emission factor, the corresponding regulation method is obtained, so as to guide the regulation of flexible loads and achieve the low-carbon operation of the microgrid. It can provide a reference for the formulation of low-carbon operation plans for regional power grids. Compared with conventional methods, it can combine the real-time changes of dynamic carbon emission factors with the spatio-temporal transfer characteristics of energy storage devices, and combine the adjustability of flexible loads to change the microgrid regulation strategy, which has better reference in the microgrid and stronger universality for the same type. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings described below are only 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.
[0039] Figure 1 It is a flowchart of the method in a specific embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. 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 fall within the scope of protection of the present invention.
[0041] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.
[0042] It is worth noting that the methods used in the present invention are all conventional methods unless otherwise specified; the raw materials and devices used are all conventional commercially available products unless otherwise specified, and their sources are not specifically limited.
[0043] It should also be noted that for the convenience of understanding in the specific embodiments of the present invention, the method steps are described in a certain order, but those skilled in the art can adjust the order of the steps according to actual needs. Therefore, this cannot be used as a limiting condition. Further, in the following description of the specific embodiments, unless otherwise specified, the upper and lower subscripts of each parameter should be understood as the difference markers of similar identifiers according to common interpretations, representing the parameters of the subscript-related or corresponding devices, and cannot be understood as specific models or special markings.
[0044] As Figure 1 shown, this embodiment provides a flexible load regulation method for a microgrid based on dynamic carbon emission factors, including the following steps:
[0045] S1. Model the power equipment in the microgrid and obtain the operation model of the power equipment;
[0046] The power equipment in the microgrid of this embodiment includes fossil energy generating units, energy storage devices, renewable energy generating units, and flexible loads.
[0047] Among them, the fossil energy generating unit in this embodiment takes a diesel generating unit as an example; the renewable energy generating units include distributed photovoltaic generating units and decentralized wind generating units; the adjustable flexible loads include shiftable loads, transferable loads, and interruptible loads, which are specifically embodied as adjustable devices such as air conditioners, lights, and electric heaters in the microgrid, and will not be modeled in detail here.
[0048] Therefore, to achieve the unity of the overall modeling, the models of each equipment component in the microgrid should be constructed separately. Specifically as follows:
[0049] S1.1 Operation model of the diesel generating unit: including the output model based on output constraints and the start-stop model based on control strategies.
[0050] The diesel generating unit cannot directly output power at a certain power. Therefore, the climbing output power of the diesel generating unit should satisfy the following formula constraints:
[0051]
[0052] In the formula, P dt,t represents the output of the diesel generating unit at time t, and represent the maximum and minimum outputs of the diesel generating unit; and represent the maximum and minimum change amounts of the unit at time t respectively.
[0053] In addition, since the diesel generating unit cannot be started and stopped at will, the start-stop constraint of the diesel generating unit should satisfy the following formula:
[0054]
[0055] In the formula, u dt,t represents the start-stop state of the diesel generator set as 0 or 1, t i,on and t i,off respectively represent the start-up and shutdown times of the diesel generator set.
[0056] S1.2 Operation model of the energy storage device: including the operation state model based on the energy storage limitation conditions;
[0057] The microgrid contains an energy storage device, and an operation model of the energy storage device should be constructed. The operation model of the energy storage device should consider the influence of the self-discharge loss power and charge-discharge efficiency of the energy storage device on the electricity quantity of the energy storage device:
[0058]
[0059] In the formula, S ES,t is the electricity quantity of the energy storage device at time t; σ ES is the self-loss rate of the energy storage device; are respectively the charge and discharge powers of the energy storage device at time t; are respectively the charge and discharge efficiencies of the energy storage device.
[0060] In order to prevent the overcharge and overdischarge of the battery, the state of charge of the battery needs to meet the upper and lower limit constraints, and the energy storage device should meet the following during operation:
[0061]
[0062] In the formula, are respectively the maximum and minimum capacity limits of the energy storage device; are respectively the maximum and minimum charging power limits of the energy storage device; are respectively the maximum and minimum discharge power limits of the energy storage device; are respectively the 0-1 variables of the charge and discharge states of the energy storage device at time t.
[0063] S1.3 Operation model of the photovoltaic generator set: including the photovoltaic output model based on the output fluctuation parameters;
[0064]
[0065] In the formula, P pv,t represents the output of the photovoltaic power generation device at time t, are respectively the maximum and minimum outputs of the photovoltaic device.
[0066] S1.4 Operation model of the wind turbine generator set: including the wind power output model based on the output fluctuation parameters;
[0067]
[0068] In the formula, P wt,t represents the output of the wind power generation equipment at time t, which are the maximum and minimum outputs of the wind power generation equipment respectively.
[0069] S2. Build a dynamic carbon emission factor model;
[0070] Based on the operation model of the power equipment and the dynamic proportion of green electricity in the process of purchasing electricity by the microgrid, build a dynamic carbon emission factor model of the microgrid, and solve the dynamic carbon emission factor model of the microgrid to obtain the dynamic carbon emission factor of the microgrid.
[0071] Among them, since the proportion of green electricity in the electricity purchased by the microgrid is dynamically time-varying, therefore, in order to further accurately characterize the carbon emission level of the microgrid and guide the flexible load regulation of the microgrid to fully absorb green electricity and reduce carbon emissions, it is necessary to simultaneously consider the mutual influence between the charging and discharging behavior of the energy storage device and the dynamic carbon emission factor of the microgrid, and build a dynamic carbon emission factor model of the microgrid considering the dynamic proportion of purchased green electricity and the operation characteristics of the energy storage device and a dynamic carbon emission factor model of the energy storage device respectively.
[0072] S2.1 Dynamic carbon emission factor model of the microgrid considering the dynamic proportion of purchased green electricity; Calculate the carbon emissions of electricity purchased by the microgrid based on time series and the carbon emissions of power generation equipment in the microgrid, and calculate the carbon emissions of electricity purchased and power generation by normalization to obtain the dynamic carbon emission factor of the microgrid;
[0073] Furthermore, since the carbon emission factor of the power grid is affected by the proportion of green electricity, and the proportion of green electricity is time-varying, the traditional fixed average carbon emission factor can no longer meet the low-carbon requirements. A dynamic carbon emission model of the microgrid considering the dynamic proportion of purchased green electricity should be built, as shown in the following formula:
[0074]
[0075] In the formula, δ' MG,t is the dynamic carbon emission factor of the microgrid; E grid,t and E dt,t are the carbon emissions generated by the microgrid purchasing electricity from the power grid and the diesel generator set generating electricity at time t respectively; σ gre,t and are the dynamic proportion of green electricity in the power grid and the average proportion of green electricity at time t respectively; is the average carbon emission factor of the power grid; P load,t is the real-time load of the microgrid at time t; P buy,t and P dt,t are the electricity quantity purchased from the power grid and the power generation power of the diesel generator set at time t respectively; a, b, and c are calculation coefficients.
[0076] S2.2 Construct a dynamic carbon emission factor model for energy storage devices, and correct the dynamic carbon emission factor of the microgrid through the dynamic carbon emission factor of the energy storage device to obtain the corrected dynamic carbon emission factor of the microgrid.
[0077] In the charging state, the energy storage device can act as an electrical load, absorbing part of the electricity and carbon emissions in the microgrid; in the discharging state, it can act as a power generation device, releasing the electrical energy and carbon stored in the device. A dynamic carbon emission factor model for the energy storage device is constructed for different charging and discharging states respectively.
[0078] Calculate the carbon emissions of the energy storage device under time-series conditions based on the operating state of the energy storage device, and solve the dynamic carbon emission factor of the energy storage device based on the carbon emissions of the energy storage device. Specifically:
[0079] When the energy storage device is in the charging state, the dynamic carbon emission factor of the microgrid is brought into the energy storage device, causing the carbon emission factor inside the device to change. The carbon emission factor δ of the energy storage device ES,t is:
[0080]
[0081] In the formula: S ES,t is the electricity content of the energy storage device at time t.
[0082] When the energy storage device is in the discharging state, the carbon emission factor in the energy storage device is:
[0083]
[0084] In the formula: is the discharging efficiency of the energy storage device.
[0085] Since the charging and discharging behaviors of the energy storage device will affect the source of carbon emissions in the microgrid, the energy storage device has the characteristic of spatio-temporal transfer of carbon content. When charging, the energy storage device will absorb part of the carbon in the microgrid, and when discharging, it will release part of its own carbon. Further, under time-series conditions, the dynamic carbon emission factor of the microgrid and the dynamic carbon emission factor of the energy storage device are superimposed to obtain the corrected dynamic carbon emission factor δ of the microgrid MG,t , and the formula is:
[0086]
[0087] In the formula: P ES,t is the real-time power of the energy storage device, is the carbon emissions released by the energy storage device during discharging at time t.
[0088] S3. Construct a low-carbon demand response model for flexible loads;
[0089] Construct a low-carbon demand response model for flexible loads based on the characteristics of flexible loads and the initial scheduling strategy.
[0090] Flexible load characteristics include translatability, transferability, and reducibility. According to the microgrid dynamic carbon emission factor model constructed in S2, load models and carbon emission models are established for translatable loads, transferable loads, and reducible loads respectively, forming a flexible load low-carbon demand response model considering dynamic carbon emission factors.
[0091] S3.1 Translatable load;
[0092] The translatable electrical load can be translated as a whole according to the set translation interval. Assume that the translatable interval within a scheduling period is [t sf1 , t sf2 , and the duration is t s . Then the set L shift of translatable start times is:
[0093] L shift = [t sf1 , t sf2 - t s + 1] (12)
[0094] Assume that the power of the translatable load is evenly distributed during the duration. Then the power of the translatable load at time t is:
[0095]
[0096] In the formula, P e,shif,t is the power of the translatable load at time t, and P e,shift is the total power of the translatable load period.
[0097] From formula (13), the total adjustable carbon emissions of the translatable load are:
[0098]
[0099] In the formula, E e,shift,t is the carbon emissions of the translatable load at time t, and E e,shift is the total schedulable carbon emissions during the duration of the translatable load.
[0100] S3.2 Transferable load;
[0101] The transferable load can be flexibly transferred at each time period within the entire scheduling period, but the total energy demand needs to be met. To prevent frequent start and stop of equipment, assume that the transferable interval within a scheduling period is [t tr1 , t tr1 + t tr,min - 1], and the minimum continuous operation time and transfer power constraints are set as follows:
[0102]
[0103] B e,tr P e,tr,min ≤P e,tr,t ≤B e,tr P e,tr,max (16)
[0104] In the formula, t tr,min is the minimum continuous operation time, B e,tr is the start-stop status quantity of the transferable load, taking values of 0 or 1, P e,tr,t is the power of the transferable load, P e,tr,min and P e,tr,max are the minimum and maximum transferable powers.
[0105] It can be seen from formula (15) and formula (16) that the adjustable carbon emission of the transferable load is:
[0106]
[0107] In the formula: E e,tr,t is the carbon emission of the transferable load at time t, E e,tr is the total schedulable carbon emission during the continuous period of the transferable load.
[0108] S3.3 Load that can be curtailed;
[0109] The load that can be curtailed can curtail the corresponding load according to the dispatching requirements. To ensure the rationality of the electric load curtailment, it is necessary to set constraints on the curtailment time and number of times:
[0110]
[0111] B e,cl P e,cl,min ≤P e,cl,t ≤B e,cl P e,cl,max (19)
[0112] In the formula: t cl is the curtailment duration, B e,cl is the start-stop status quantity of the load that can be curtailed, taking values of 0 or 1, U tr,max is the maximum curtailment amount of the load that can be curtailed, P e,cl,t is the power of the load that can be curtailed, P e,cl,min and P e,cl,max are the minimum and maximum curtailment powers.
[0113] It can be seen from formula (18) and formula (19) that the adjustable carbon emission of the load that can be curtailed is:
[0114]
[0115] In the formula: E e,cl,tis the carbon emission of the shiftable load at time t, E e,cl is the total schedulable carbon emission during the continuous period of the shiftable load.
[0116] The total sum of carbon emissions generated and reduced by the adjustable load within the scheduling period is:
[0117] E e,ad = E e,shift + E e,tr + E e,cl (21)
[0118] S4. Low-carbon regulation method for flexible load;
[0119] Based on the microgrid dynamic carbon emission factor (this embodiment adopts the aforementioned modified microgrid dynamic carbon emission factor) and the low-carbon demand response model of flexible load, a low-carbon regulation method model for flexible load is constructed. Specifically, according to the models proposed in S1 - S3, a low-carbon operation objective function is constructed to form a low-carbon regulation method for flexible load considering the dynamic carbon emission factor.
[0120] The microgrid flexible load regulation method based on the modified microgrid dynamic carbon emission factor proposed in this embodiment aims to improve the low-carbon operation ability of the microgrid. For this low-carbon regulation method model of flexible load, the minimum carbon emission is used as the objective function, and the function of the model is the calculation formula for the total carbon emission of the microgrid within a preset time period. Among them, the total carbon emission of the microgrid is the superposition sum of the carbon content contained in the adjustable load participating in the low-carbon demand response within the scheduling period. It should be noted that the microgrid should include fixed loads. Therefore, the summation terms of the function include the carbon emissions of fixed loads, shiftable loads, transferable loads, and curtailable loads. Thus, the expression of the low-carbon operation objective function is:
[0121]
[0122] In the formula, E ALL is the total emission of the microgrid, E e,base is the carbon emission of the fixed load, P e,load,t is the load power of the microgrid at time t; P e,base,t is the fixed load power.
[0123] Optionally, the low-carbon regulation method model for flexible load also has a power balance constraint condition, that is, the proposed method involves various microgrid components and adjustable flexible loads, and while meeting the lowest carbon emission in the microgrid operation, it is necessary to meet the power balance constraint:
[0124]
[0125] After the above modeling, the solver is used to solve Equation (22) of the flexible load low-carbon regulation method model. By transferring the low-carbon emission factor electricity through the energy storage device and combining it with the flexible load regulation, the regulation results (new scheduling strategy) of different flexible loads in the microgrid can be obtained, and the further low-carbon operation of the microgrid can be realized. This method is universal. For microgrid systems with different components, only some device models need to be changed.
[0126] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than limiting the protection scope of the present invention. Any simple modification or equivalent replacement of the technical solution of the present invention by those of ordinary skill in the art shall not depart from the essence and scope of the technical solution of the present invention.
Claims
1. A microgrid flexible load regulation method based on dynamic carbon emission factor, characterized by: The steps include: Modeling the power equipment in the microgrid and obtaining an operation model of the power equipment; Based on the operation model of the power equipment and the dynamic green electricity proportion in the microgrid power purchase process, a microgrid dynamic carbon emission factor model is constructed, and the microgrid dynamic carbon emission factor is obtained by solving the microgrid dynamic carbon emission factor model; Construct a flexible load low-carbon demand response model based on flexible load characteristics and initial dispatch strategy; Based on the microgrid dynamic carbon emission factor and the flexible load low-carbon demand response model, a flexible load low-carbon regulation method model is constructed; the flexible load low-carbon regulation method model takes minimizing carbon emissions as an objective function; By solving the flexible load low-carbon regulation method model, a microgrid flexible load regulation method is obtained.
2. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 1 is characterized in that: The power equipment in the microgrid includes fossil energy generator sets, renewable energy generator sets, energy storage equipment and flexible loads.
3. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 2 is characterized in that: The operation model of the fossil energy generator set includes: Output model based on output constraints and start-stop model based on control strategy.
4. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 2 is characterized in that: The renewable energy generator set includes a distributed photovoltaic generator set and a distributed wind generator set; The operation model of the photovoltaic power generation group includes a photovoltaic output model based on output fluctuation parameters; The operation model of the wind turbine generator set includes a wind power output model based on output fluctuation parameters.
5. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 2 is characterized in that: The operation model of the energy storage device includes an operation state model based on energy storage restriction conditions.
6. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 1 is characterized in that: The microgrid dynamic carbon emission factor model calculation includes the following steps: Calculate the carbon emissions of electricity purchase of the microgrid based on time series; Calculate the carbon emissions of power generation equipment in the microgrid based on time series; Normalizing and calculating the carbon emissions from electricity purchase and the carbon emissions from power generation to obtain a dynamic carbon emission factor for the microgrid; The dynamic carbon emission factor of the microgrid is corrected by the dynamic carbon emission factor of the energy storage device to obtain a corrected dynamic carbon emission factor of the microgrid.
7. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 6 is characterized in that: The correction method includes the following steps: Calculating the carbon emissions of the energy storage device under time series conditions based on the operating state of the energy storage device, and solving the dynamic carbon emission factor of the energy storage device based on the carbon emissions of the energy storage device; The dynamic carbon emission factor of the microgrid is superimposed on the dynamic carbon emission factor of the energy storage device under time sequence conditions, and the corrected dynamic carbon emission factor of the microgrid is obtained.
8. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 1 is characterized in that: The flexible load characteristics include being translatable, transferable, and reducible.
9. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 8 is characterized in that: The function of the flexible load low-carbon regulation method model is a calculation formula for the total carbon emissions of the microgrid within a preset time period; The summation item of the microgrid total carbon emissions calculation formula includes fixed load carbon emissions, shiftable load carbon emissions, transferable load carbon emissions and reducible load carbon emissions.
10. The microgrid flexible load regulation method based on dynamic carbon emission factor according to claim 9 is characterized in that: The flexible load low-carbon regulation method model is also provided with constraint conditions; The constraint conditions at least include a power balance constraint condition.
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