Source network load storage flexibility resource configuration and scheduling optimization method under new energy penetration

Abstract

The invention provides a source network load storage flexibility resource configuration and scheduling optimization method under new energy penetration, and belongs to the technical field of source network load storage resource optimization scheduling. The problem that the risk caused by insufficient flexibility of the power system in the existing research is not reasonably quantified is solved; comprising the following steps that a flexibility resource configuration optimization model based on the time dimension is constructed, and the flexibility resource configuration optimization model takes the carbon emission as a target function; designing a flexible resource operation optimization model of a spatial dimension meeting stable internal sales and delivery requirements of the electric power system, and realizing low-carbon, safe and economical operation of the electric power system; the method is applied to the new energy power system.

Description

Technical Field

[0001] The present invention provides a method for optimizing the allocation and dispatching of flexible resources of source, grid, load and storage under the penetration of new energy, and belongs to the technical field of optimizing and regulating the resources of source, grid, load and storage. Background Art

[0002] With the transformation of the global energy structure and the challenges of climate change, new energy generation, especially wind and solar power generation, is increasing its share in global energy consumption due to its clean and renewable characteristics. However, the volatility and uncertainty of new energy generation have brought challenges to the stability and reliability of the power system, which requires the power system to have higher regulation capabilities and flexibility.

[0003] At present, in order to make full use of renewable energy power generation and reduce the phenomenon of wind and solar power abandonment, it is crucial to improve the regulation capacity of the power system. In this process, the concept of flexibility resources came into being. Flexibility resources include energy storage systems, pumped storage systems and demand response resources, which can provide the necessary regulation capacity for the power system. Although existing studies have proposed a variety of operation optimization methods for flexibility resources, how to ensure the real-time balance of supply and demand of flexibility resources in the power system is still a difficult problem. Existing research mainly focuses on supply and demand balance, planning and configuration, and dispatching and operation, while there are relatively few studies on the economic cost of flexibility resources.

[0004] In summary, existing research still has shortcomings in the flexibility resource allocation and dispatch optimization of power systems. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes a method for optimizing the allocation and scheduling of source-grid-load-storage flexibility resources under the penetration of new energy.

[0006] The technical solution adopted by the present invention is: a method for optimizing the resource allocation and dispatching of source-grid-load-storage flexibility under the penetration of new energy, comprising the following steps: S1: Construct a flexibility resource allocation optimization model based on the time dimension, wherein the flexibility resource allocation optimization model takes carbon emissions as the objective function, and the constraints of the flexibility resource allocation optimization model include the maximum load reserve constraint, the wind and solar power abandonment ratio constraint, the proportion of new energy installed capacity constraint, the proportion of new energy power generation constraint, the balance of power generation and power consumption constraint, the flexibility transformation constraint of coal-fired power units, the development constraint of pumped storage power stations, and the development constraint of new energy storage installed capacity; S2: Design a flexible resource operation optimization model in the spatial dimension that meets the requirements of stable domestic sales and external transmission of the power system. The flexible resource operation optimization model aims to minimize the full life cycle cost of various types of power resources; Considering the optimization of the overall configuration and operation of the power system, power balance constraints, electricity balance constraints, upper and lower limit constraints of coal-fired power unit output, upward climbing constraints and downward climbing constraints are also set; S3: Optimal configuration and scheduling of source, grid, load and storage flexibility resources are achieved through flexibility resource configuration optimization model and flexibility resource operation optimization model.

[0007] Furthermore, the flexibility resource configuration optimization model calculates the carbon emissions of the nth type of power generation resources based on the flexibility resource planning cycle, and its expression is as follows: ; Where: is the total carbon emissions of the planning period of the nth type of power generation resources; is the carbon dioxide emission factor of the nth type of power generation resource in year t; Δ T nt is the number of hours of power generation of the nth type of power generation resource in year t; V nt is the installed capacity of the nth type of power generation resource in year t, T is the total planning period, N is the total number of types of power generation resources.

[0008] Furthermore, the maximum load upper reserve constraint is used to determine that in the tth year, the installed capacity of various types of power generation resources has a certain proportion of upper reserve for the maximum load, and its expression is as follows: ; ; ; Where: is the life cycle of the ith unit of the nth type of power generation resource; n i is the ith unit of the nth type of power generation resource; t i is the service life of the ith unit of the nth type of power generation resource in the tth year; Whether the i-th unit of the n-th type of power generation resource is within its effective service life; The installed capacity of the ith unit of the nth type of power generation resource in the tth year is the required power supply capacity of each type of power generation resource according to the reliable capacity of the power source at the peak load.

[0009] Furthermore, the renewable energy installed capacity ratio constraint is used to ensure that the proportion of renewable energy installed capacity to total installed capacity in year t exceeds the prescribed minimum proportion; The renewable energy power generation proportion constraint is used to ensure that the proportion of renewable energy power generation to total power generation in year t exceeds the prescribed minimum proportion; The power generation and power consumption balance constraint is used to ensure that the total power generation of various power generation resources in year t exceeds the total power consumption demand; The flexibility transformation constraint of the coal-fired power generation unit is used to achieve the completion of flexibility transformation of the coal-fired power generation unit by the tth year; The pumped storage power station development constraint is used to achieve that by the tth year, the development of the pumped storage power station needs to reach a certain installed capacity; The new energy storage installed capacity development constraints are used to achieve that by the tth year, the new energy storage installed capacity must reach a certain scale.

[0010] Furthermore, the constraints on the proportion of new energy installed capacity, the balance between power generation and power consumption, the flexibility transformation constraints of coal-fired power units, the development constraints of pumped-storage power stations, and the development constraints of new energy storage installed capacity are all set with corresponding minimum values ​​based on the long-term plan every five years.

[0011] Furthermore, the flexibility resource operation optimization model constructs a cost function for the entire life cycle of flexibility resources including investment cost, variable cost, fixed cost, and emission cost, and its expression is as follows: ; Where: F LCC The full life cycle cost of various types of flexibility resources; is the fixed cost per unit capacity of the nth type of flexibility resource in year t; V nt is the capacity of the nth type of flexibility resource in year t; is the variable cost per unit of generation or transmission of the nth type of flexibility resource; The emission cost per unit of electricity generation or transmission of the flexibility resource; is the total amount of power generation, transmission, charging and discharging, and load regulation of the flexible resource in year t; IR is the discount rate; T The total planning period is: N is the total number of types of power generation resources.

[0012] Further, wherein: ; ; ; ; Where: is the fixed cost of the i-th unit of the n-th type of flexibility resource in year t; is the fuel cost per unit of electricity in year t; is the operation and maintenance cost per unit of electricity in year t; For the nth type of flexibility resource, unit i, h i Output per hour; Δ h i for duration; is the price of carbon dioxide in year t; is the CO2 emissions per unit of electricity generated by the i-th unit of the n-th type of flexibility resource; The carbon dioxide emission quota per unit of electricity generation of the i-th unit of the n-th type of flexibility resource.

[0013] Furthermore, the upward climbing constraint includes a net load upward climbing constraint and an adjustable resource upward climbing constraint.

[0014] Furthermore, the downward climbing constraint includes a net load downward climbing constraint and an adjustable resource downward climbing constraint.

[0015] The beneficial effects of the present invention compared to the prior art are as follows: the present invention determines the flexibility resource configuration and operation optimization scheme by constructing a flexibility resource configuration model based on the time dimension and a flexibility resource operation optimization model based on the space dimension, thereby improving the flexibility and stability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings: Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0017] like Figure 1 As shown, the present invention provides a method for optimizing the allocation and scheduling of flexible resources of sources, grids, loads and storage under the penetration of new energy. It aims to achieve energy dimension optimization of power and electricity balance by constructing a flexible resource allocation model based on the time dimension and designing a flexible resource operation optimization model in the space dimension. It also adopts a differentiated modeling method of resource dimension that considers the differences in regulation performance of resources such as power sources, grids, loads, and energy storage, determines the allocation and operation optimization scheme of flexible resources of sources, grids, loads and storage, and can improve the flexibility and stability of the power system.

[0018] The implementation steps of the method of the present invention are as follows: S1: Build a flexible resource allocation optimization model based on the time dimension, and make long-term plans for power generation capacity, energy storage capacity, grid transmission channels, etc. every five years; S2: Design a spatial dimension flexibility resource operation optimization model that meets the requirements of stable domestic sales and external transmission of the power system, taking existing and planned power generation, energy storage and external transmission channels as boundary conditions for the optimal configuration of flexibility resources; S3: Optimal configuration and scheduling of source, grid, load and storage flexibility resources are achieved through flexibility resource configuration optimization model and flexibility resource operation optimization model.

[0019] The flexibility resource allocation optimization model determines the installed capacity of new energy sources such as wind power and photovoltaic power by analyzing the optimal allocation of power system source, grid, load and storage flexibility resources, and correspondingly establishes the installed capacity of coal-fired power flexibility transformation, pumped storage, electrochemical energy storage, etc. The objective function of this model is to minimize the carbon emissions of various power generation resources within the cycle.

[0020] The present invention calculates the carbon emissions of the nth type of power generation resources based on the flexibility resource planning cycle, and uses the carbon emissions as the objective function of the flexibility resource configuration optimization model, and its expression is as follows: ; Where: is the total carbon emissions of the planning period of the nth type of power generation resources; is the carbon dioxide emission factor of the nth type of power generation resource in year t; Δ T nt is the number of hours of power generation of the nth type of power generation resource in year t; V nt is the installed capacity of the nth type of power generation resource in year t, T is the total planning period, N is the total number of types of power generation resources.

[0021] The constraints of the above objective function include: a. Maximum load reserve constraint The system installed capacity planning requires a certain degree of redundancy, that is, to ensure a certain system installed capacity reserve rate. According to the above conditions, the expression for the installed capacity scale of various types of power generation resources in year t to leave a certain proportion of upper reserve for the maximum load is as follows: ; ; ; Where: is the life cycle of the ith unit of the nth type of power generation resource; n i is the ith unit of the nth type of power generation resource; t i is the service life of the ith unit of the nth type of power generation resource in the tth year; Whether the i-th unit of the n-th type of power generation resource is within its effective service life; t i is the service life of the ith unit of the nth type of power generation resource in the tth year; is the installed capacity of the ith unit of the nth type of power generation resource in year t.

[0022] The installed capacity of various power generation resources is not equal to the stable output capacity under various working conditions. It is necessary to measure its power supply capacity according to the reliable capacity of the power source at peak load. The expression is as follows: ; Where: The proportion of installed capacity of power generation resources to be kept in reserve upward; is the maximum load in year t; s n is the resistance coefficient; Generally it is considered as 10%.

[0023] Wind power has strong fluctuations and the resistance coefficient s n The general value is 90%; photovoltaic power generation cannot be achieved during the evening peak, and the obstruction coefficient s n The general value is 100%, while the peak power generation in the morning and afternoon is relatively stable, and the resistance coefficient s n The general value is 30%; hydropower is limited by precipitation, and the resistance coefficient s n The general value is 20%; coal-fired power, gas-fired power, electrochemical energy storage, pumped storage, flexible loads, and transmission lines can be adjusted to rated power according to system requirements. s n The value is generally 0.

[0024] b. Constraints on the proportion of wind and solar power abandoned When the penetration rate of new energy is very high, the marginal cost of new energy consumption will increase, so a certain amount of wind and solar power abandonment is allowed to exist, and its expression is as follows: ; Where: It is the minimum load of the power system, usually occurring during the daytime off-peak period; r down is the total system downtime rate, which is 10% in this embodiment; is the minimum cumulative flexibility transformation capacity of coal-fired power unit g in year t.

[0025] The net load trough generally occurs during the noon period when photovoltaic power is in full swing or in the second half of the night when wind power is in full swing, which is when wind and solar power are most likely to be abandoned. The absorption capacity is measured based on the downward peak-shaving capacity of traditional power sources, energy storage, and grid uploading capacity, and is determined by the minimum output. Coal-fired power reduces its output or even shuts down during deep peak-shaving, and the maximum peak-shaving capacity is determined by the minimum value of the startup capacity; after the implementation of flexibility transformation, the minimum output can be reduced from 50% of the rated capacity to 20%. The peak-shaving capacity of the transmission network is affected by the interconnected area. For the power transmission area, the line peak-shaving coefficient after the planned investment is considered to be 100%. Wind power, photovoltaic power, and nuclear power can be regarded as not having deep peak-shaving capabilities.

[0026] c. Constraints on the proportion of new energy installed capacity This constraint is used to ensure that the proportion of new energy (wind power and photovoltaic) installed capacity in the total installed capacity in year t exceeds the prescribed minimum proportion to promote the development and utilization of new energy.

[0027] In year t, the expression for the proportion of installed capacity of new energy (n=1, 2) exceeding a certain proportion is as follows, where n=1 represents wind power, n=2 represents photovoltaic power, and so on, when n is other values, it refers to other types of new energy: ; Where: is the minimum proportion of installed capacity of new energy in year t; V 1t is the installed capacity of wind power in year t; V 2t is the installed capacity of photovoltaic power in year t.

[0028] d. Constraints on the proportion of renewable energy power generation This constraint is used to ensure that the proportion of renewable energy power generation in total power generation in year t exceeds the prescribed minimum proportion, so as to increase the proportion of renewable energy in power supply.

[0029] Then in year t, the expression for the proportion of renewable energy power generation exceeding a certain proportion is as follows: ; Where: The minimum proportion of renewable energy power generation in year t; T nt is the number of hours of power generation of the nth type of power generation resource in the tth year. Wind power, photovoltaic power, hydropower, and nuclear power are given according to the normal hours. The utilization hours of wind power are about 2500 hours, and the utilization hours of photovoltaic power are about 1600 hours. T 1t is the number of hours of wind power generation in year t; T 2t is the number of photovoltaic power generation hours in year t.

[0030] e. Constraints on the balance between power generation and power consumption This constraint is used to ensure that the total power generation of various power generation resources in year t exceeds the total power demand to meet the supply and demand balance of the power system.

[0031] Then in year t, the total power generation of various power generation resources exceeds the power consumption as follows: ; Where: is the total electricity demand in year t.

[0032] f. Constraints on flexibility transformation of coal-fired power units This constraint is used to achieve that by the tth year, the coal-fired power units will complete flexibility transformation and increase the system regulation capacity to The above expression is as follows: ; Where: n=4 represents coal-fired power units, For the n i The minimum output of a coal-fired power unit in year t; is the minimum cumulative flexibility transformation capacity of coal-fired power units in year t; It is the minimum capacity of flexibility transformation of coal-fired power units in year t.

[0033] g. Constraints on the development of pumped storage power stations This constraint is used to achieve that by year t, the development of pumped storage power stations needs to reach a certain installed capacity to enhance the peak-shaving capacity and flexibility of the power system. Its expression is as follows: ; Where: n=8 represents a pumped storage power station; is the installed capacity of the pumped-storage power station in year t.

[0034] h. Constraints on the development of new energy storage capacity This constraint is used to achieve that by year t, the new energy storage installed capacity must reach a certain scale to improve the energy storage capacity and regulation flexibility of the power system. Its expression is as follows: ; Where: is the installed capacity of new energy storage in year t.

[0035] The flexibility resource operation optimization model proposed in this invention aims to minimize the full life cycle cost of various power resources. Based on the power generation energy planning period, a full life cycle cost function of flexibility resources including investment cost, variable cost, fixed cost, emission cost and other costs is constructed. Its expression is as follows: ; Where: F LCC The full life cycle cost of various types of flexibility resources; is the fixed cost per unit capacity of the nth type of flexible resource in year t (including investment depreciation and bank repayment interest costs, etc.); V nt is the capacity of the nth type of flexibility resource in year t; is the variable cost per unit of generation (or transmission) of the nth type of flexibility resource; is the emission cost per unit of electricity generation (or transmission) of the flexibility resource; is the total amount of power generation, transmission, charging and discharging, and load regulation of the flexible resource in year t; IR is the discount rate.

[0036] in: ; ; ; ; Where: is the fixed cost of the i-th unit of the n-th type of flexibility resource in year t; is the fuel cost per unit of electricity in year t, such as the fuel cost per kilowatt-hour of coal-fired and gas-fired power generation; is the operation and maintenance cost per unit of electricity in year t; For the nth type of flexibility resource, unit i, h i Output per hour; Δ h i For duration, you can take 1 hour; is the price of carbon dioxide in year t, which will increase year by year; is the CO2 emissions per unit of electricity generated by the i-th unit of the n-th type of flexibility resource; The quota for carbon dioxide emissions per unit of electricity generation of the i-th unit of the n-th type of flexibility resource will decrease year by year.

[0037] At the same time, the present invention also takes into account the overall configuration and operation of the power system and provides the following constraints, specifically including: (1) Power balance constraint: Its expression is as follows: ; Where: For the nth type of power generation resource, the i-th unit is in the h i Hourly power generation, D iis the total number of load demand periods in year i, N i is the total number of units of the i-th resource in year t.

[0038] (2) Power balance constraint, which is expressed as follows: .

[0039] (3) The upper and lower limits of coal-fired power generation unit output are as follows: ; ; Where: , are the minimum and maximum output of coal-fired power units respectively; is the minimum output of coal-fired power units (n=4) in year t (it may change every year considering flexibility modification).

[0040] (4) Upward climbing constraints, including net load upward climbing constraints and upward climbing constraints of adjustable resources such as coal power and pumped storage. The expression is as follows: ; Adjustable resource output The expression is as follows: .

[0041] Based on this, the expression of the net load upward climbing constraint is as follows: ; Where: is the net load upward ramp value at time t and period h, is the load upward climbing value at time t and period h, that is, the increase in load during this period, is the i-th unit in the n-th type of power generation resource at time t i and time period h i of power generation increase.

[0042] The expression of the upward climbing constraint of adjustable resources is as follows: ; ; Where: is the ramp-up power generation capacity of the adjustable resource within time t and period h.

[0043] (5) Downward climbing constraints, including: The net load is ramping down, and its expression is as follows: ; Where: is the downward slope value of the net load at time t and period h; For in time t i and time period h i The load downward climbing value; is the i-th unit in the n-th type of power generation resource at time t i and time period h i Upward climbing power generation capacity.

[0044] The adjustable resource can be ramped down, and its expression is as follows: ; ; Where: is the downward ramping power generation capacity of the adjustable resource within time t and period h.

[0045] The method of the present invention realizes the optimization of two energy dimensions of power and electricity balance, ensuring the power supply and demand balance and the total power generation and consumption supply and demand balance at different time scales; determines the installed capacity of new energy sources such as wind power and photovoltaics, and designs the configuration plans of installed capacity such as coal-fired power flexibility transformation, pumped storage, and electrochemical energy storage, thus realizing low-carbon, safe and economical operation of the power system.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing resource allocation and scheduling of source-grid-load-storage flexibility under the penetration of new energy, characterized by: The following steps are involved: S1: Construct a flexibility resource allocation optimization model based on the time dimension, wherein the flexibility resource allocation optimization model takes carbon emissions as the objective function, and the constraints of the flexibility resource allocation optimization model include the maximum load reserve constraint, the wind and solar power abandonment ratio constraint, the proportion of new energy installed capacity constraint, the proportion of new energy power generation constraint, the balance of power generation and power consumption constraint, the flexibility transformation constraint of coal-fired power units, the development constraint of pumped storage power stations, and the development constraint of new energy storage installed capacity; S2: Design a flexible resource operation optimization model in the spatial dimension that meets the requirements of stable domestic sales and external transmission of the power system. The flexible resource operation optimization model aims to minimize the full life cycle cost of various types of power resources; Considering the optimization of the overall configuration and operation of the power system, power balance constraints, electricity balance constraints, upper and lower limit constraints of coal-fired power unit output, upward climbing constraints and downward climbing constraints are also set; S3: Optimal configuration and scheduling of source, grid, load and storage flexibility resources are achieved through flexibility resource configuration optimization model and flexibility resource operation optimization model.

2. According to the method for optimizing the resource allocation and scheduling of source-grid-load-storage flexibility under the penetration of new energy sources in claim 1, it is characterized by: The flexibility resource configuration optimization model calculates the carbon emissions of the nth type of power generation resources based on the flexibility resource planning cycle, and its expression is as follows: ； Where: is the total carbon emissions of the planning period of the nth type of power generation resources; is the carbon dioxide emission factor of the nth type of power generation resource in year t; Δ T nt is the number of hours of power generation of the nth type of power generation resource in year t; V nt is the installed capacity of the nth type of power generation resource in year t, T is the total planning period, N is the total number of types of power generation resources.

3. The method for optimizing resource allocation and scheduling of source-grid-load-storage flexibility under new energy penetration according to claim 2 is characterized by: The maximum load upper reserve constraint is used to determine that in year t, the installed capacity of various power generation resources has a certain proportion of upper reserve for the maximum load, and its expression is as follows: ； ； ； Where: is the life cycle of the ith unit of the nth type of power generation resource; n i is the ith unit of the nth type of power generation resource; t i is the service life of the ith unit of the nth type of power generation resource in the tth year; Whether the i-th unit of the n-th type of power generation resource is within its effective service life; The installed capacity of the ith unit of the nth type of power generation resource in the tth year is the required power supply capacity of each type of power generation resource according to the reliable capacity of the power source at the peak load.

4. The method for optimizing resource allocation and scheduling of source-grid-load-storage flexibility under new energy penetration according to claim 2 is characterized by: The new energy installed capacity ratio constraint is used to ensure that the proportion of new energy installed capacity in the total installed capacity in year t exceeds the prescribed minimum proportion; The renewable energy power generation proportion constraint is used to ensure that the proportion of renewable energy power generation to total power generation in year t exceeds the prescribed minimum proportion; The power generation and power consumption balance constraint is used to ensure that the total power generation of various power generation resources in year t exceeds the total power consumption demand; The flexibility transformation constraint of the coal-fired power generation unit is used to achieve the completion of flexibility transformation of the coal-fired power generation unit by the tth year; The pumped storage power station development constraint is used to achieve that by the tth year, the development of the pumped storage power station needs to reach a certain installed capacity; The new energy storage installed capacity development constraints are used to achieve that by the tth year, the new energy storage installed capacity must reach a certain scale.

5. The method for optimizing resource allocation and scheduling of source-grid-load-storage flexibility under new energy penetration according to claim 4 is characterized by: The constraints on the proportion of new energy installed capacity, the balance of power generation and power consumption, the flexibility transformation of coal-fired power units, the development of pumped-storage power stations, and the development of new energy storage capacity are all set to corresponding minimum values ​​based on the long-term plan every five years.

6. The method for optimizing resource allocation and scheduling of source-grid-load-storage flexibility under new energy penetration according to claim 3 is characterized by: The flexibility resource operation optimization model constructs a cost function for the entire life cycle of flexibility resources including investment cost, variable cost, fixed cost, and emission cost, and its expression is as follows: ； Where: F LCC The full life cycle cost of various types of flexibility resources; is the fixed cost per unit capacity of the nth type of flexibility resource in year t; V nt is the capacity of the nth type of flexibility resource in year t; is the variable cost per unit of generation or transmission of the nth type of flexibility resource; The emission cost per unit of electricity generation or transmission of the flexibility resource; is the total amount of power generation, transmission, charging and discharging, and load regulation of the flexible resource in year t; IR is the discount rate; T The total planning period is: N is the total number of types of power generation resources.

7. The method for optimizing resource allocation and scheduling of source-grid-load-storage flexibility under new energy penetration according to claim 6 is characterized by: in: ； ； ； ； Where: is the fixed cost of the i-th unit of the n-th type of flexibility resource in year t; is the fuel cost per unit of electricity in year t; is the operation and maintenance cost per unit of electricity in year t; For the nth type of flexibility resource, unit i, h i Output per hour; Δ h i for duration; is the price of carbon dioxide in year t; is the CO2 emissions per unit of electricity generated by the i-th unit of the n-th type of flexibility resource; The carbon dioxide emission quota per unit of electricity generation of the i-th unit of the n-th type of flexibility resource.

8. The method for optimizing resource allocation and scheduling of source-grid-load-storage flexibility under new energy penetration according to claim 1 is characterized by: The upward climbing constraint includes a net load upward climbing constraint and an adjustable resource upward climbing constraint.

9. The method for optimizing resource allocation and scheduling of source-grid-load-storage flexibility under new energy penetration according to claim 1 is characterized by: The downward climbing constraint includes a net load downward climbing constraint and an adjustable resource downward climbing constraint.

Images