A method and system for configuring large-scale cascade hydroelectricity, wind and solar capacity under complex power transmission constraints

Abstract

The application belongs to the field of multi-energy complementary coordinated planning and capacity configuration optimization, and discloses a large-scale cascade hydropower wind and light capacity configuration method and system under complex power transmission restrictions. The method comprises the following steps: a hydropower plant substation control strategy is established to reflect the cascade substation and replacement characteristics and avoid new energy configuration deviation of different plants and substations; a multi-direct-current channel power transmission time sequence dynamic modeling method is proposed to adapt the new energy configuration to the time-varying characteristics of the power transmission capacity; a multi-receiving end regulation demand differentiation and multi-plant and multi-network substation consumption space modeling method is constructed to solve the problem of depicting the daily power demand and monthly power boundary of different power grids. The integrated complex power transmission restriction solving strategy is used to construct a panoramic time sequence optimization model to effectively realize the fine configuration of wind and light capacity planning under the complex power transmission conditions of regional power grids.

Description

Technical Field

[0001] This invention belongs to the field of multi-energy complementary coordination planning and capacity configuration optimization, and relates to a method and system for large-scale cascade hydropower, wind and solar power capacity configuration under complex power transmission constraints. Background Technology

[0002] Leveraging the regulation and support capabilities of large-scale cascade hydropower systems in Southwest my country and existing power transmission channels, promoting the integrated planning and operation of hydropower, wind power, and solar power clean energy bases is an effective technical approach to improve the grid connection quality and scale of uncertain new energy sources such as wind power and photovoltaics. However, cascade hydropower stations in Southwest China typically require long-distance, inter-provincial power transmission, facing highly complex operational constraints such as power distribution from a single hydropower plant, time-varying transmission capacity across multiple stations and channels, and varying grid regulation needs and power receiving scales. Under these circumstances, how to configure new energy capacity to ensure that the hydropower-wind-solar system can utilize hydropower regulation and support and existing channels to absorb new energy while avoiding unreasonable power curtailment is a very challenging problem in the operation of hydropower-wind-solar complementary systems. The difficulty lies in the spatiotemporal coupling constraints of power generation, transmission, and power receiving.

[0003] On the power generation side, large-scale cascade hydropower stations exhibit characteristics such as "one station with multiple plants, multiple plants transmitting power, heterogeneous grid connection, and one reservoir with two dispatching agencies." Specifically, a single hydropower station may have power plants on its left and right banks, or different power plants upstream and downstream, connected to different provincial or regional power grids through different channels; a single power plant may transmit power to different provincial power grids through multiple channels, and some power plants, such as the Xiluodu left and right bank power plants, may transmit power to different provinces and be subject to different dispatching agencies; due to different power distribution rights and physical grid connection restrictions, upstream and downstream power plants also need to consider the requirements for power exchange between power plants. These characteristics and requirements are essentially dispatching constraints of a high degree of coupling between hydropower and electricity, requiring refined modeling to ensure the rationality of the configuration of new energy substations and power plant capacity.

[0004] On the transmission side, the transmission capacity of UHVDC channels exhibits significant time-series dynamic changes due to factors such as grid operation modes and equipment maintenance schedules. Previous methods of describing fixed upper limits of channel transmission capacity are clearly inconsistent with actual operation. However, refined modeling of DC channel transmission capacity requires comprehensive consideration of time-varying factors such as channel operation and maintenance status and its impact on transmission capacity. Accurately quantifying the time-varying characteristics of transmission while avoiding a significant increase in the computational complexity of the optimization model presents a new challenge.

[0005] On the power receiving side, clean energy bases need to simultaneously consider the load regulation needs and power consumption differences of different provincial power grids in different regions such as East China, South China, and Southwest China. On the one hand, different power plants have specific power allocation ratios for different power grids, and the same power plant has power allocation restrictions in different seasons, months, or flood and dry seasons; on the other hand, the differences in the power structure, load characteristics, and the scale and generation characteristics of new energy sources in each receiving power grid lead to vastly different net load regulation needs, and the power consumption space also varies greatly in different seasons and months. How to consider these complex receiving-end needs will directly affect the new energy composition and capacity configuration of the clean energy base, and is a necessary condition for the hydro-wind-solar complementary dispatch.

[0006] Therefore, the integrated capacity allocation of hydropower, wind power, and solar power in a river basin is not an isolated problem of generation-side planning and scheduling, but rather a challenging optimization and scheduling problem involving highly spatiotemporal coupling of multiple power sources, multiple transmission channels, and multiple receiving-end power grids. To address this, this invention takes a large-scale cascade hydropower system in a river basin in Southwest China and its transmission to seven provincial power grids as the engineering background. It proposes a method and system for large-scale cascade hydropower, wind power, and solar power capacity allocation under complex transmission constraints. Addressing the complex characteristics of the project, such as power plant distribution, time-varying transmission capacity, and differentiated power receiving demands from multiple power grids, a panoramic time-series optimization model is constructed. This model is applied and tested in a real-world project, and the impact of different generation, transmission, and receiving boundary conditions on renewable energy capacity allocation is analyzed in detail. Summary of the Invention

[0007] This invention provides a method and system for configuring the capacity of large-scale cascade hydropower and wind and solar power under complex power transmission constraints. The purpose is to construct a panoramic time-series optimization model to effectively realize the refined configuration of wind and solar capacity planning under complex power transmission conditions of regional power grids by taking into account the complex characteristics of "power plant distribution", time-varying power transmission capacity and differentiated power receiving needs of multiple power grids in the project.

[0008] The technical solution of the present invention:

[0009] A method for configuring the capacity of large-scale cascade hydropower, wind power, and solar power under complex power transmission constraints, characterized by the following steps:

[0010] 1) Utilize the control logic of the hydropower station's power plant distribution to reflect the requirements of cascade power distribution and power exchange;

[0011] 1.1) Introduce power plant power transmission state variables, quota retention state variables, and quantitative retention state variables to describe the control logic of power plant power distribution in hydropower stations; among them, the power plant power transmission state variables include the hydropower station during the flood season. State variables of power plant p supplying electricity to province s And dry season hydropower station State variables of power plant p supplying electricity to province s The fixed-quota retention status variables include hydropower stations during the flood season. Power plant p to province s quota retention state variable And dry season hydropower station Power plant p to province s quota retention state variable Quantitative retention of state variables includes hydropower stations during the flood season. Quantitative retention of state variables in province s And dry season hydropower station Quantitative retention of state variables in province s ;

[0012] 1.1.1) The hydroelectric power plant supplies electricity to multiple receiving provinces, taking into account the different provinces supplied during the flood season and dry season:

[0013]

[0014] In the formula, For hydroelectric power station The power output of power plant p during time period t, in MW; These are categorized into three groups: provinces for cascade hydropower transmission, provinces for retention, and provinces for external transmission. Hydropower stations during the flood season and dry season, respectively. The power plant p supplies electricity to province s. The state variable is a 0-1 variable, and its value is determined based on actual operating data. A value of 1 indicates that the hydropower plant is a hydroelectric power station. Power plant p supplies electricity to province s, with 0 representing a hydroelectric power station. Power plant P does not supply electricity to province S; Hydropower stations during the flood season and dry season, respectively. The power distribution ratio corresponding to the power plant p supplying electricity to province s during time period t; Hydropower stations during the flood season and dry season, respectively. The power distribution ratio of power plant p to province s; These are hourly time sets representing the flood season and the dry season, respectively.

[0015] 1.1.2) Relationship between the total power generation of hydropower stations and power plants during the flood season and dry season:

[0016]

[0017] In the formula, For hydroelectric power station The power plant cluster; Hydropower stations during the flood season and dry season, respectively. Total electricity generation, expressed in MW·h; Hydropower stations during the flood season and dry season, respectively. The total power generation of power plant p, in MW·h; For a unit of time period;

[0018] 1.1.3) The power generation of hydropower stations is divided into retained power and transmitted power, and the power allocation methods for flood season and dry season are considered differently:

[0019]

[0020] 1.1.4) The retained electricity of hydropower stations is divided into quota retention and quantitative retention, and different retention methods are considered for the flood season and the dry season:

[0021]

[0022] In the formula, Hydropower stations during the flood season and dry season, respectively. The total amount of electricity transmitted by power plant p to province s, in MW·h; Hydropower stations during the flood season and dry season, respectively. The power plant p has a quota retention status variable for province s, which is a 0-1 variable. The value is determined based on actual operating data, with 1 representing a hydropower station. Power plant p retains a fixed amount of electricity from province s, with 0 representing the hydropower station. Power plant P does not reserve electricity quotas for province S; Hydropower stations during the flood season and dry season, respectively. The proportion of electricity supplied to the designated provinces (s) that retain the quota; Hydropower stations during the flood season and dry season, respectively. A quantitative state variable is retained for province s, which is a 0-1 variable. The value is determined based on actual operating data, with 1 representing a hydropower station. Power plant p retains a fixed amount of electricity from province s, with 0 representing the hydropower station. Power plant P does not retain a fixed amount of electricity for province S; Hydropower stations during the flood season and dry season, respectively. A quantitative amount of electricity is retained by province s, in MW·h;

[0023] 1.1.5) Requirements for the form of retained electricity at hydropower stations:

[0024]

[0025] 1.1.6) Requirements for power transmission from each hydropower station in the cascade hydropower system during the flood season and dry season:

[0026]

[0027] In the formula, Hydropower stations during the flood season and dry season, respectively. The proportion of electricity sent to provinces s that transmit electricity to other provinces.

[0028] 1.2) Due to the influence of grid connection structure, transmission capacity of the channel, and dispatching relationships, there is a power exchange requirement between upstream and downstream hydropower stations during the dry season; therefore, a power exchange control variable is introduced. The unit is MW·h, and the following formula describes the power exchange requirement between two hydropower stations upstream and downstream during the dry season:

[0029]

[0030] In the formula, For dry season hydroelectric power station The amount of electricity transmitted to Province X For dry season hydroelectric power station The amount of electricity transmitted to Province Y, both of which are decision variables, are expressed in MW·h. Dry season The amount of electricity transmitted by the downstream hydropower station to provinces X and Y is a decision variable, expressed in MW·h; where X and Y refer to the provinces to which the hydropower station transmits electricity, and may be changed according to actual circumstances.

[0031] 2) Utilizing the maintenance state variables, non-transmittable capacity variables, and ice-limited maintenance control constraints of the DC transmission channels connected to hydropower stations, clarify the DC transmission capacity limitation mechanism under the influence of both equipment maintenance and grid operation control. Describe the time-varying characteristics of the upper limit of transmission capacity of the DC channels connected to each hydropower station or power plant within a cascade hydropower station at different times. The DC channel maintenance state variable set includes the hydropower station... Maintenance status variables of the DC channel connected to power plant p during time period t The set of variables for non-transmittable capacity under maintenance includes hydropower stations. The untransmittable capacity of the DC channel connected to power plant p during time period t during operation and maintenance. ;

[0032] 2.1) Configuring renewable energy capacity requires defining wind and solar capacity optimization decision variables, and constructing renewable energy output constraints together with the input renewable energy unit installed capacity output characteristic curve. The optimal capacity configuration is determined through simulation operation models, with renewable energy capacity serving as the model's decision variable.

[0033]

[0034] In the formula, These correspond to the equivalent wind power station and equivalent photovoltaic power station that a hydropower station can support. Average output over a period of time, in MW; Equivalent wind power stations and equivalent photovoltaic power stations, respectively. Resource levels for a given time period, in MW; Equivalent wind power stations and equivalent photovoltaic power stations, respectively. The amount of power wasted during a given period is measured in MW. Hydropower stations power plant The planned power output rate for wind and solar power is the ratio of power output to installed capacity. Hydropower stations power plant Capacity for wind power and photovoltaic installations, measured in MW;

[0035] 2.2) Under maintenance conditions, the DC transmission capacity is limited, and the degree of limitation varies from line to line:

[0036]

[0037] In the formula, To connect the hydropower station The DC transmission power of power plant p during time period t, in MW; Hydropower stations The upper limit of the transmission capacity and rated capacity of the DC channel connected to power plant p during time period t, in MW; For hydroelectric power station The maintenance status variable of the DC channel connected to power plant p during time period t is a 0-1 variable. A value of 1 indicates that the DC channel is in the operation and maintenance stage, and a value of 0 indicates that the DC channel is in the normal operation stage. For hydroelectric power station The non-transmittable capacity of the DC channel connected to power plant p during time period t, in MW; For hydroelectric power station Duration of maintenance on the DC channel connected to the power plant's P-connection;

[0038] 2.3) Considering the safety of power system operation in winter, maintenance of the State Grid's DC transmission lines should be avoided during the icing period:

[0039]

[0040] In the formula, For hydroelectric power station The icing window period of the DC channel connected to the power plant (p); This represents the set of DC channels that transmit electricity to the provinces receiving power from the State Grid.

[0041] 3) Consider the power supply plan for the hydro-wind-solar system. By introducing the monthly electricity consumption trend state variables of the provinces that send electricity to other provinces, a multi-receiving-end power grid regulation demand response constraint set is established;

[0042] 4) In view of the dynamic changes in the absorption capacity of different receiving-end power grids for hydro-wind-solar systems, a spatial boundary for the absorption of hydro-wind-solar systems is introduced to establish a spatial constraint for the absorption of multiple receiving-end power grids.

[0043] 4.1) The constraints for the intraday power output adjustment process are:

[0044]

[0045] In the formula, For the set of hourly time periods on day d; Hydropower station in the water-wind-solar system The per-unit curve of the power transmission plan for hydropower, wind power and solar power generation at power plant p on day d, in MW; This corresponds to the magnification factor;

[0046] 4.2) The monthly power transmission volume and the power demand at the receiving end are matched by the following constraints:

[0047]

[0048] In the formula, Hydropower stations The output of the wind and solar power stations configured in power plant p during time period t, in MW; Hydropower station in the water-wind-solar system The total power generation from hydropower, wind power, and solar power at power plant point p in month m, in MW·h; For the hourly time period of month m; Hydropower station in the water-wind-solar system The monthly electricity consumption trend of the provinces to which power plant p supplies electricity is a 0-1 variable. If the electricity demand in the following month is weaker than the previous month, it is 0; if it is stronger than the previous month, it is 1.

[0049] 5) Fully consider the needs of the power generation, transmission, and receiving sides of the cascade hydropower wind and solar power base in the basin, as well as the modeling strategies formed in steps 1)-4), construct a year-round panoramic time-series optimization model, and analyze the reasonable capacity of wind and solar new energy sources;

[0050] The meteorological data of the watershed area are used to describe the wind and solar resources, with the goal of maximizing the electricity consumption of water, wind and solar power in the watershed.

[0051]

[0052] In the formula, T is the set of hourly indexes within the year; For hydroelectric power station Index set; For hydroelectric power station exist Average output over a period of time, in MW.

[0053] A large-scale cascade hydropower, wind power, and solar power capacity configuration system under complex power transmission constraints, the system comprising:

[0054] The power plant distribution control module is used to reflect the requirements of cascade power distribution and power exchange by utilizing the control logic of power plant distribution in hydropower stations. The power plant distribution control module introduces a power plant power transmission state variable matrix, a quota retention state variable matrix, and a quantitative retention state variable matrix to describe the control logic of power plant distribution in hydropower stations. It describes the power transmission relationship of hydropower stations during the flood season and dry season, the method of dividing retained power, and the uniqueness constraint of retention form.

[0055] The power plant power exchange module uses abstract modeling to describe the power exchange behavior between different hydropower stations based on channel constraints during the dry season.

[0056] The new energy capacity configuration quantification module is used to construct decision variables for new energy capacity configuration and to reflect the wind and solar power output under different capacity configurations through the installed capacity output characteristics of wind and solar units, so as to achieve new energy capacity configuration optimization through objective functions and other constraints.

[0057] The intelligent quantification module for power transmission capacity utilizes the maintenance state variable matrix of the DC channel connected to the power station. Maintenance of non-transmittable capacity variable matrix In conjunction with ice-related maintenance control constraints, this study clarifies the DC transmission capacity limitation mechanism under the influence of both equipment maintenance and grid operation control, in order to describe the time-varying characteristics of the upper limit of the transmission capacity of the DC channels connecting each power station and power plant in the cascade hydropower project at different times.

[0058] The multi-timescale absorption characteristic quantification module is used to construct the absorption spatial boundary matrix of the hydro-wind-solar system based on the differences in the regulation capacity of different receiving-end power grids, and to establish the absorption spatial constraints of the multi-receiving-end power grids. The multi-timescale absorption characteristic quantification module includes intraday regulation output constraints, which are used to constrain the output changes of the cascade hydro-wind-solar system in each time period. Furthermore, the multi-timescale absorption characteristic quantification module further establishes monthly power transmission and receiving-end power demand matching constraints to maintain the balance of power supply and demand between months.

[0059] A multi-timescale nested year-round panoramic time-series optimization model is used to integrate power plant distribution control module, power plant power replacement module, new energy capacity configuration quantification module, transmission capacity intelligent quantification module, and multi-timescale absorption characteristic quantification module. It introduces the maximum target of watershed water, wind and solar power absorption to construct a year-round panoramic time-series optimization model under complex power transmission constraints, so as to realize the configuration of regional power grid wind and solar capacity planning.

[0060] A computer device includes a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, it implements the above-mentioned method for configuring the capacity of large-scale cascade hydropower, wind power, and solar power under complex power supply constraints.

[0061] A storage medium storing a computer program, which, when executed by a processor, implements the aforementioned method for configuring the capacity of large-scale cascade hydropower, wind power, and solar power under complex power supply constraints.

[0062] The beneficial effects of this invention are as follows: The method and system for configuring large-scale cascade hydropower, wind, and solar capacity under complex power transmission constraints establish a power distribution control strategy for hydropower plants to reflect the characteristics of cascade power distribution and replacement, avoiding deviations in renewable energy configuration across different plants. It proposes a multi-DC transmission time-series dynamic modeling method to adapt renewable energy configuration to the time-varying characteristics of transmission capacity. It constructs a multi-receiving-end demand differentiation and multi-plant, multi-grid power distribution and absorption space modeling method to solve the problem of defining the daily power demand and monthly power consumption boundaries of different power grids. It integrates complex power transmission constraint solution strategies to construct a panoramic time-series optimization model, effectively achieving refined configuration of wind and solar capacity planning under complex transmission conditions in regional power grids. Attached Figure Description

[0063] Figure 1 This is a schematic diagram of the overall process of the new energy capacity configuration optimization method provided in the embodiments of this application;

[0064] Figure 2 A comparison chart of annual power generation results of the hydro-wind-solar system provided in the embodiments of this application;

[0065] Figure 3 A comparison chart of the new energy configuration capacity of the water, wind and solar power system provided in the embodiments of this application. Detailed Implementation

[0066] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings and technical solutions.

[0067] To address the challenges of optimizing the integrated capacity of renewable energy in my country's large-scale cascade hydropower, wind, and solar power bases under complex power transmission tasks, spatiotemporal constraints such as power plant grid connection, time-varying transmission capacity, and differentiated regulation demands from multiple receiving ends, this application provides a method for configuring the capacity of large-scale cascade hydropower, wind, and solar power under complex power transmission constraints in some embodiments. The method establishes a power distribution control strategy for hydropower plants to reflect the characteristics of cascade power distribution and replacement, avoiding deviations in renewable energy configuration across different plants and stations; proposes a multi-DC transmission time-series dynamic modeling method to adapt renewable energy configuration to the time-varying characteristics of transmission capacity; and constructs a spatial modeling method for differentiated regulation demands from multiple receiving ends and multi-plant, multi-grid power distribution to solve the problem of characterizing the daily power demand and monthly power consumption boundaries of different power grids. By integrating complex power transmission constraint solution strategies to construct a panoramic time-series optimization model, refined renewable energy configuration for cascade power plants is achieved.

[0068] The method for configuring large-scale cascade hydropower, wind power, and solar power capacity under complex power transmission constraints can be applied to electronic devices with data processing capabilities. These electronic devices include, but are not limited to, computers, servers, mobile terminals, smart wearable devices, and industrial control computers. For ease of description, electronic devices are used as the execution subject of the method in this embodiment. It should be understood that the method can also be applied to other types of execution subjects, which are not illustrated in this embodiment. Figure 1 As shown, the method includes:

[0069] S101. Construct the control logic model for the power plant distribution of the hydropower station;

[0070] Introducing the power plant power transmission state variable matrix Quota retention state variable matrix Quantitative retention state variable matrix To describe the control logic of power distribution in hydropower stations;

[0071] The hydroelectric power plant supplies electricity to multiple receiving provinces, taking into account the different provinces supplied during the flood season and dry season:

[0072]

[0073] In the formula, For hydroelectric power station The power output of power plant p during time period t, in MW; These are categorized into three groups: provinces for cascade hydropower transmission, provinces for retention, and provinces for external transmission. Hydropower stations during the flood season and dry season, respectively. The power plant p supplies electricity to province s. The state variable is a 0-1 variable, and its value is determined based on actual operating data. A value of 1 indicates that the hydropower plant is a hydroelectric power station. Power plant p supplies electricity to province s, with 0 representing a hydroelectric power station. Power plant P does not supply electricity to province S; Hydropower stations during the flood season and dry season, respectively. The power distribution ratio corresponding to the power plant p supplying electricity to province s during time period t; Hydropower stations during the flood season and dry season, respectively. The power distribution ratio of power plant p to province s; These are hourly time sets representing the flood season and the dry season, respectively.

[0074] Relationship between the total power generation of hydropower stations and power plants during the flood season and dry season:

[0075]

[0076] In the formula, For hydroelectric power station The power plant cluster; Hydropower stations during the flood season and dry season, respectively. Total electricity generation, MW·h; Hydropower stations during the flood season and dry season, respectively. Total power generation of power plant p, in MW·h; For a unit of time period;

[0077] It should be noted that, in order to model the load distribution within and outside the province, the power generation of hydropower stations is divided into two categories: retained power and transmitted power. Furthermore, the different power allocation methods during the flood and dry seasons should be considered. The constraints are expressed as follows:

[0078]

[0079] Based on the definition and modeling of hydropower station retention and transmission power, the retained power of hydropower stations needs to be controlled according to two main categories: quota retention and quantitative retention. Different retention methods should be considered for flood and dry seasons. The constraints are expressed as follows:

[0080]

[0081] In the formula, Hydropower stations during the flood season and dry season, respectively. The total amount of electricity transmitted by power plant p to province s, in MW·h; Hydropower stations during the flood season and dry season, respectively. The power plant p has a quota retention status variable for province s, which is a 0-1 variable. The value is determined based on actual operating data, with 1 representing a hydropower station. Power plant p retains a fixed amount of electricity from province s, with 0 representing the hydropower station. Power plant P does not reserve electricity quotas for province S; Hydropower stations during the flood season and dry season, respectively. The proportion of electricity supplied to the designated provinces (s) that retain the quota; Hydropower stations during the flood season and dry season, respectively. A quantitative state variable is retained for province s, which is a 0-1 variable. The value is determined based on actual operating data, with 1 representing a hydropower station. Power plant p retains a fixed amount of electricity from province s, with 0 representing the hydropower station. Power plant P does not retain a fixed amount of electricity for province S; Hydropower stations during the flood season and dry season, respectively. A quantitative amount of electricity retained by province s, in MW·h;

[0082] In addition, the electronic equipment should also model the unique requirement of the form of the retained electricity of the hydropower station, which can be expressed as:

[0083]

[0084] After completing the modeling of the power transmission and retention ratio on the generation side of the hydropower station, the electronic equipment also needs to constrain the power transmission requirements of each power plant in the cascade during the flood and dry seasons from the load side. The constraint conditions can be expressed as follows:

[0085]

[0086] In the formula, Hydropower stations during the flood season and dry season, respectively. The proportion of electricity sent to provinces s that transmit electricity to other provinces.

[0087] Furthermore, due to the influence of grid connection structure, transmission capacity, and dispatching relationships, there are also power exchange requirements between some hydropower stations during the dry season; for hydropower station B and hydropower station C, a power exchange control variable is introduced. The following formula describes the power exchange requirement between two hydropower stations, where hydropower station B and hydropower station C each include two power plants on the left and right banks:

[0088]

[0089] In the formula, The quantities are the power outputs from the left and right bank power plants of hydropower station B during the dry season to SC province and YN province, respectively, and are decision variables in MW·h. , respectively, represent the amount of electricity transmitted from the left and right bank power plants of hydropower station C during the dry season to provinces SC and YN, and are decision variables, in MW·h; The amount of electricity transmitted from hydropower station C to YN province in lieu of hydropower station B during the dry season is expressed in MW·h.

[0090] S102. Construct a new energy capacity configuration model;

[0091] Configuring renewable energy capacity requires defining decision variables for wind and solar capacity optimization, and constructing renewable energy output constraints together with the input renewable energy unit installed capacity output characteristic curve. The optimal capacity configuration is then determined through simulation operation models, with renewable energy capacity serving as the decision variable for the model.

[0092]

[0093] In the formula, These correspond to the equivalent wind power station and equivalent photovoltaic power station that a hydropower station can support. Average output at any given time, in MW; Equivalent wind power stations and equivalent photovoltaic power stations, respectively. Resource level at any given time, in MW; Equivalent wind power stations and equivalent photovoltaic power stations, respectively. The amount of electricity abandoned in a given moment, measured in MW; Hydropower stations power plant The planned power output rate for wind and solar power is the ratio of power output to installed capacity. Hydropower stations power plant Capacity for wind power and photovoltaic installations, in MW;

[0094] During maintenance, the DC transmission capacity is limited, and the degree of limitation varies from line to line.

[0095]

[0096] In the formula, To connect the hydropower station DC transmission power of power plant p, in MW; Hydropower stations The upper limit and rated capacity of the DC transmission channel connected to the power plant (p), in MW; For hydroelectric power station The maintenance status variable of the DC channel connected to power plant p is a 0-1 variable. A value of 1 indicates that the DC channel is in the operation and maintenance stage, and a value of 0 indicates that the DC channel is in the normal operation stage. For hydroelectric power station The non-transmittable capacity of the DC channel connected to the power plant during the operation and maintenance phase, in MW; For hydroelectric power station Duration of maintenance on the DC channel connected to the power plant's P-connection;

[0097] Furthermore, considering the safety of power system operation in winter, maintenance of the State Grid's DC transmission lines should be avoided during the icing period.

[0098]

[0099] In the formula, For hydroelectric power station The icing window period of the DC channel connected to the power plant (p); This represents the set of DC channels that transmit electricity to the provinces receiving power from the State Grid.

[0100] S103. Construct a multi-end power grid absorption space constraint module;

[0101] Different receiving provinces have significantly different electricity consumption and power regulation needs due to variations in their own electricity loads and local power sources. Therefore, after constructing controllable power constraints and transmission lines, electronic equipment should also consider the uncertainties in the model, and implement typical power transmission plans for hydro-wind-solar systems. This involves introducing a monthly electricity consumption trend matrix from provinces that export electricity to other regions, and establishing a multi-end grid regulation demand response constraint set. This process involves electricity consumption response requirements at multiple time scales, both intraday and monthly.

[0102] For example, on an hourly scale, the intraday load processes of different receiving-end power grids typically vary greatly. Coupled with fluctuations in local wind and renewable energy generation, it is necessary to consider the unique generation regulation process of each power grid to reflect differentiated regulation needs. This constraint can be expressed as:

[0103]

[0104] In the formula, For the set of hourly time periods on day d; Hydropower station in the water-wind-solar system The per-unit curve of the power transmission plan for hydropower, wind power and solar power generation at power plant p on day d, in MW; This corresponds to the magnification factor;

[0105] On a monthly scale, the monthly electricity transmission volume of the hydro-wind-solar power base should be as consistent as possible with the monthly electricity consumption trend of each receiving power grid. That is, when electricity demand increases, the electricity transmission volume should not decrease; conversely, when electricity demand decreases, the electricity transmission volume should not increase. This constraint can be expressed as:

[0106]

[0107] In the formula, Hydropower stations The output of the wind and solar power stations configured in power plant p during time period t, in MW; Hydropower station in the water-wind-solar system The total power generation from hydropower, wind power, and solar power at power plant location p in month m, in MW·h; For the hourly time period of month m; Hydropower station in the water-wind-solar system The monthly electricity consumption trend of the provinces to which power plant p supplies electricity is a 0-1 variable. If the electricity demand in the following month is weaker than the previous month, it is 0; if it is stronger than the previous month, it is 1.

[0108] S104. Construct a year-round panoramic time-series optimization model;

[0109] To reflect the characteristics of cascade power distribution and replacement, and to avoid deviations in the configuration of new energy sources at different power plants, the electronic equipment, based on the aforementioned five constraint modules, fully considers the complex needs of the power generation, transmission, and receiving sides of the cascade hydro-wind-solar base in the basin, as well as the modeling strategies in S101-S103 above, to construct a year-round panoramic time-series optimization model and analyze the reasonable capacity for configuring wind and solar new energy sources.

[0110] For example, the objective function of this model is to maximize the electricity absorbed by water, wind, and solar power in the basin, that is, the objective function of this model is:

[0111]

[0112] In the formula, For hourly indexes, T is the set of hourly indexes within the same year; For hydroelectric power station index, A set of indexes for hydropower stations; These refer to the hydropower station and the equivalent wind and solar power capacity it can support (referred to as the equivalent wind and solar power station). Average output at any given time, in MW; Equivalent wind power plants and equivalent photovoltaic power plants, respectively. Resource level at any given time, in MW; Equivalent wind power plants and equivalent photovoltaic power plants, respectively. The amount of electricity abandoned at any given moment, measured in MW.

[0113] S105. Solve the year-round panoramic time-series optimization model to obtain the new energy capacity configuration results;

[0114] After establishing the multi-timescale nested panoramic simulation optimization model, the electronic device can solve the established model to obtain the solution results. The model solution results include the optimization results of new energy capacity configuration and the corresponding panoramic operation simulation results of hydropower, wind power, solar power allocation.

[0115] In the multi-timescale nested panoramic simulation optimization model, some functional relationships are nonlinear, making them difficult to solve directly. For example, the hydropower generation function is constrained by a two-dimensional non-convex linear surface, requiring a specific linearization method to approximate the output with a small sacrifice in solution accuracy in exchange for improved solution efficiency. Therefore, the electronic device uses a parallelogram interpolation method for linearization.

[0116] Meanwhile, the logical constraints involved in line maintenance introduce 0-1 binary variables, increasing the burden on the model solution and significantly impacting solution efficiency. Therefore, it is necessary to linearize and reconstruct the logical constraints.

[0117] For example, the Big M method can be used to reconstruct the maintenance avoidance logic constraints during the icing period for the State Grid's DC transmission channels. The linearization constraint for reconstructing the maintenance avoidance logic constraints during the icing period for the State Grid's DC transmission channels is:

[0118]

[0119] In the formula, M is taken as 1000; To connect the hydropower station power plant DC channel maintenance start time; These represent the start and end times of the icing period; For auxiliary 0-1 variables.

[0120] By applying the technical solutions of the above embodiments, the large-scale cascade hydropower and wind and solar capacity configuration method under complex power transmission constraints described in the above embodiments can fully consider the complex needs of the power generation side, transmission side, and power receiving side of the cascade hydropower and wind and solar base in the basin, as well as the modeling strategy mentioned above, to construct a year-round panoramic time-series optimization model. Through the analysis of multi-time-scale nested simulation results under different new energy capacity configurations, an optimized wind and solar new energy capacity configuration scheme is obtained.

[0121] Taking a cascade hydropower system in a river basin in southwest my country as a backbone power source for the national West-to-East Power Transmission Project, the system comprises four power stations (A, B, C, and D) from upstream to downstream, with a total installed capacity exceeding 46,000 MW, accounting for approximately 11% of the country's total hydropower installed capacity. Among them, power stations A, B, and C each include power plants on both the left and right banks, sharing the same reservoir, and need to transmit power to different provinces. The surrounding area of ​​the river basin is rich in wind and solar resources, providing excellent conditions for promoting the development of clean energy bases based on hydropower, wind, and solar power. Figure 2 As shown, the cascade hydropower is simultaneously regulated by both the State Grid and the Southern Power Grid, and needs to transmit power to multiple provincial power grids within the jurisdiction of the two grids through ultra-high voltage direct current channels. At the same time, the cascade hydropower stations need to reserve a portion of the electricity for the provinces YN and SC where they are located.

[0122] Tables 1 and 2 illustrate the integration of power generation and new energy sources under two power transmission modes: co-line complementary and co-line non-complementary. Under the co-line complementary mode, the integrated wind and solar capacity will decrease by 250MW, and the total annual power generation will decrease by 5.118 billion kWh. However, compared to the co-line non-complementary mode, the amount of wind and solar curtailment in the hydro-wind-solar system decreases by 0.07 billion kWh, and the curtailment rate decreases from 0.03% to 0.01%.

[0123] This indicates that, despite minor changes in the system's ability to integrate new energy sources, the hydro-wind-solar system can fully leverage the flexibility of hydropower and improve the utilization rate of clean energy resources based on a co-line complementary power transmission mode.

[0124] Therefore, this paper suggests that the hydro-wind-solar system in the lower reaches of the Jinsha River adopt a co-line complementary power transmission mode. In this case, the installed capacity of wind power and photovoltaic power that can be integrated into the cascade hydropower system is 11063MW and 11925MW, respectively. Among them, the installed capacity ratio of hydropower, wind power, and solar power in the hydro-wind-solar system is 67:16:17.

[0125] Table 1. Integration of New Energy Sources at Various Hydropower Stations Under Two Collinear Power Transmission Modes

[0126]

[0127] Table 2 Annual power generation of the system under two co-line power transmission modes

[0128]

[0129] Figure 3The paper presents the power generation of hydropower, wind power, and solar power systems under two separate control modes, and compares the capacity allocation for new energy sources. It shows that compared to the separate control mode based on the flood and dry seasons, the monthly control mode further reduces the system's power generation and the hydropower's capacity to support new energy sources.

[0130] The system's total power generation decreased by 868 million kWh, and its wind and solar installed capacity decreased by 1236.16 MW (approximately 5.34% of the total configured capacity). The most significant change was observed in the wind and solar installed capacity around Power Station D, decreasing from 3192 MW to 153 MW, with its wind and solar absorption decreasing from 3.701 billion kWh to 210 million kWh. This is due to Power Station D's relatively small reservoir capacity and weak regulation capabilities; more refined power distribution control requirements will further limit its capacity to support new energy sources. Furthermore, the system's capacity to support photovoltaic power also decreased sharply with the refined control of power distribution ratios, from 11925 MW to 5552 MW, and its share in the new energy configuration capacity decreased from 51.87% to 25.52%. Even worse, under the monthly control mode for hydropower distribution, the photovoltaic installed capacity around Power Station A was zero. This indicates that the control mode of the power distribution ratio is also a key factor affecting the carrying capacity of hydropower. More refined control modes may make it difficult for hydropower regulation capacity to integrate larger-scale new energy installed capacity, especially photovoltaic energy.

[0131] In some embodiments, as a specific implementation of the regional multi-energy power generation allocation and scheduling method described in the above embodiments, some embodiments of this application also provide a large-scale cascade hydropower, wind power, and solar capacity configuration system under complex power transmission constraints, the system comprising:

[0132] (1) Power plant distribution control module, used to reflect the characteristics of cascade power distribution and replacement using the power distribution control strategy of hydropower plants, so as to avoid the deviation of new energy configuration of different plants. The power distribution control module introduces the power plant power transmission state variable matrix, the quota retention state variable matrix and the quantitative retention state variable matrix to characterize the control logic of power distribution of cascade hydropower plants; and describes the power plant power transmission relationship, retention power allocation method and retention form uniqueness constraint of cascade hydropower stations during the flood season and dry season by establishing a multi-period power distribution model.

[0133] (2) Power plant power exchange module, abstract modeling to describe the power exchange behavior between different power plants based on channel constraints during the dry season.

[0134] (3) New energy capacity configuration quantification module, which is used to construct the decision variables for optimal new energy capacity configuration, and to reflect the wind and solar power output under different capacity configurations through the installed power output characteristics of wind and solar units, so as to achieve new energy capacity configuration optimization through objective function and other constraints.

[0135] (4) Intelligent quantification module for power transmission capacity, which utilizes the maintenance state variable matrix of the DC channel connected to the power station. Maintenance of non-transmittable capacity variable matrix In conjunction with ice-related maintenance control constraints, this study clarifies the DC transmission capacity limitation mechanism under the influence of both equipment maintenance and grid operation control, in order to describe the time-varying characteristics of the upper limit of transmission capacity of the DC channels connecting each power station and power plant in the cascade hydropower project at different times.

[0136] (5) Multi-timescale absorption characteristic quantification module, used to construct the absorption space boundary matrix of hydro-wind-solar system based on the difference in regulation capacity of different receiving-end power grids, and establish absorption space constraints of multi-receiving-end power grids. This module includes intraday regulation output constraints, used to constrain the output changes of cascade hydro-wind-solar system in each time period; and this module further establishes monthly power transmission and receiving-end power demand matching constraints to maintain monthly power supply and demand balance.

[0137] (6) A multi-timescale nested year-round panoramic time series optimization model is used to integrate the power plant distribution control module, power plant power replacement module, power transmission capacity intelligent quantification module, and multi-timescale absorption characteristic quantification module. The maximum target of watershed water, wind and solar power absorption is introduced to construct a year-round panoramic time series optimization model under complex power transmission constraints, so as to realize the refined configuration of regional power grid wind and solar capacity planning.

[0138] By applying the technical solutions of the above embodiments, the large-scale cascade hydropower and wind and solar capacity configuration method under complex power transmission constraints described in the above embodiments can fully consider the complex needs of the power generation side, transmission side, and power receiving side of the cascade hydropower and wind and solar base in the basin, as well as the modeling strategy mentioned above, to construct a year-round panoramic time-series optimization model. Through the analysis of multi-time-scale nested simulation results under different new energy capacity configurations, an optimized wind and solar new energy capacity configuration scheme can be obtained.

[0139] It should be noted that other corresponding descriptions of the functional units involved in the large-scale cascade hydropower, wind and solar capacity configuration system under complex power transmission constraints provided in the embodiments of this application can be referred to the corresponding descriptions in the regional multi-energy power generation allocation optimization scheduling method provided in the above embodiments, and will not be repeated here.

[0140] This application also provides a computer device, specifically a personal computer, server, network device, etc. The computer device includes a bus, processor, memory, and communication interface, and may also include input / output interfaces and a display device. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device stores location information. The network interface of the computer device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the various method embodiments.

[0141] Those skilled in the art will understand that the structure of the computer device described above is only a partial structure related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. A specific computer device may include more or fewer components, or combine certain components, or have different component arrangements.

[0142] In one embodiment, a computer-readable storage medium is also provided, which may be non-volatile or volatile, and a computer program is stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0143] In one embodiment, a computer program product is also provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0144] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0145] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods.

[0146] Any references to memory, database, or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc.

[0147] Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can take many forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0148] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0149] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0150] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for configuring the capacity of large-scale cascade hydropower, wind power, and solar power under complex power transmission constraints, characterized in that, The steps are as follows: 1) Utilize the control logic of the hydropower station's power plant distribution to reflect the requirements of cascade power distribution and power exchange; 1.1) Introduce power plant power transmission state variables, quota retention state variables, and quantitative retention state variables to describe the control logic of power plant power distribution in hydropower stations; among them, the power plant power transmission state variables include the hydropower station during the flood season. State variables of power plant p supplying electricity to province s And dry season hydropower station State variables of power plant p supplying electricity to province s The fixed-quota retention status variables include hydropower stations during the flood season. Power plant p to province s quota retention state variable And dry season hydropower station Power plant p to province s quota retention state variable Quantitative retention of state variables includes hydropower stations during the flood season. Quantitative retention of state variables in province s And dry season hydropower station Quantitative retention of state variables in province s ; 1.2) Due to the influence of grid connection structure, transmission capacity of the channel, and dispatching relationships, there is a power exchange requirement between upstream and downstream hydropower stations during the dry season; therefore, a power exchange control variable is introduced. The unit is MW·h, and the following formula describes the power exchange requirement between two hydropower stations upstream and downstream during the dry season: In the formula, For dry season hydroelectric power station The amount of electricity transmitted to Province X For dry season hydroelectric power station The amount of electricity transmitted to Province Y, both of which are decision variables, are expressed in MW·h. Dry season The amount of electricity transmitted by the downstream hydropower station to provinces X and Y is a decision variable, expressed in MW·h; where X and Y refer to the provinces to which the hydropower station transmits electricity, and may be changed according to actual circumstances. 2) Utilizing the maintenance state variables, non-transmittable capacity variables, and ice-limited maintenance control constraints of the DC transmission channels connected to hydropower stations, clarify the DC transmission capacity limitation mechanism under the influence of both equipment maintenance and grid operation control. Describe the time-varying characteristics of the upper limit of transmission capacity of the DC channels connected to each hydropower station or power plant within a cascade hydropower station at different times. The DC channel maintenance state variable set includes the hydropower station... Maintenance status variables of the DC channel connected to power plant p during time period t The set of variables for non-transmittable capacity under maintenance includes hydropower stations. The untransmittable capacity of the DC channel connected to power plant p during time period t during operation and maintenance. ; 3) Consider the power supply plan for the hydro-wind-solar system. By introducing the monthly electricity consumption trend state variables of the provinces that send electricity to other provinces, a multi-receiving-end power grid regulation demand response constraint set is established; 4) In view of the dynamic changes in the absorption capacity of different receiving-end power grids for hydro-wind-solar systems, a spatial boundary for the absorption of hydro-wind-solar systems is introduced to establish a spatial constraint for the absorption of multiple receiving-end power grids. 5) Fully consider the needs of the power generation, transmission, and receiving sides of the cascade hydropower wind and solar power base in the basin, as well as the modeling strategies formed in steps 1)-4), construct a year-round panoramic time-series optimization model, and analyze the reasonable capacity of wind and solar new energy sources; The meteorological data of the watershed area are used to describe the wind and solar resources, with the goal of maximizing the electricity consumption of water, wind and solar power in the watershed. In the formula, T is the set of hourly indexes within the year; For hydroelectric power station Index set; For hydroelectric power station exist Average output over a period of time, in MW; These correspond to the equivalent wind power station and equivalent photovoltaic power station that a hydropower station can support. Average output over a period of time, in MW.

2. The method for configuring the capacity of large-scale cascade hydropower, wind power, and solar power under complex power transmission constraints as described in claim 1, characterized in that, The specific implementation process of step 1.1) is as follows: 1.1.1) The hydroelectric power plant supplies electricity to multiple receiving provinces, taking into account the different provinces supplied during the flood season and dry season: In the formula, For hydroelectric power station The power output of power plant p during time period t, in MW; These are categorized into three groups: provinces for cascade hydropower transmission, provinces for retention, and provinces for external transmission. ; Hydropower stations during the flood season and dry season, respectively. The power plant p supplies electricity to province s. The state variable is a 0-1 variable, and its value is determined based on actual operating data. A value of 1 indicates that the hydropower plant is a hydroelectric power station. Power plant p supplies electricity to province s, with 0 representing a hydroelectric power station. Power plant P does not supply electricity to province S; Hydropower stations during the flood season and dry season, respectively. The power distribution ratio corresponding to the power plant p supplying electricity to province s during time period t; Hydropower stations during the flood season and dry season, respectively. The power distribution ratio of power plant p to province s; These are hourly time sets representing the flood season and the dry season, respectively. 1.1.2) Relationship between the total power generation of hydropower stations and power plants during the flood season and dry season: In the formula, For hydroelectric power station The power plant cluster; Hydropower stations during the flood season and dry season, respectively. Total electricity generation, expressed in MW·h; Hydropower stations during the flood season and dry season, respectively. The total power generation of power plant p, in MW·h; For a unit of time period; 1.1.3) The power generation of hydropower stations is divided into retained power and transmitted power, and the power allocation methods for flood season and dry season are considered differently: 1.1.4) The retained electricity of hydropower stations is divided into quota retention and quantitative retention, and different retention methods are considered for the flood season and the dry season: In the formula, Hydropower stations during the flood season and dry season, respectively. The total amount of electricity transmitted by power plant p to province s, in MW·h; Hydropower stations during the flood season and dry season, respectively. The power plant p has a quota retention status variable for province s, which is a 0-1 variable. The value is determined based on actual operating data, with 1 representing a hydropower station. Power plant p retains a fixed amount of electricity from province s, with 0 representing the hydropower station. Power plant P does not reserve electricity quotas for province S; Hydropower stations during the flood season and dry season, respectively. The proportion of electricity supplied to the designated provinces (s) that retain the quota; Hydropower stations during the flood season and dry season, respectively. A quantitative state variable is retained for province s, which is a 0-1 variable. The value is determined based on actual operating data, with 1 representing a hydropower station. Power plant p retains a fixed amount of electricity from province s, with 0 representing the hydropower station. Power plant P does not retain a fixed amount of electricity for province S; Hydropower stations during the flood season and dry season, respectively. A quantitative amount of electricity is retained by province s, in MW·h; 1.1.5) Requirements for the form of retained electricity at hydropower stations: 1.1.6) Requirements for power transmission from each hydropower station in the cascade hydropower system during the flood season and dry season: In the formula, Hydropower stations during the flood season and dry season, respectively. The proportion of electricity sent to provinces s that transmit electricity to other provinces.

3. The method for configuring large-scale cascade hydropower, wind power, and solar power capacity under complex power transmission constraints as described in claim 1, characterized in that, The specific implementation process of step 2) is as follows: 2.1) Configuring renewable energy capacity requires defining wind and solar capacity optimization decision variables, and constructing renewable energy output constraints together with the input renewable energy unit installed capacity output characteristic curve. The optimal capacity configuration is determined through simulation operation models, with renewable energy capacity serving as the model's decision variable. In the formula, Equivalent wind power stations and equivalent photovoltaic power stations, respectively. Resource levels for a given time period, in MW; Equivalent wind power stations and equivalent photovoltaic power stations, respectively. The amount of power wasted during a given period is measured in MW. Hydropower stations power plant The planned power output rate for wind and solar power is the ratio of power output to installed capacity. Hydropower stations power plant Capacity for wind power and photovoltaic installations, measured in MW; 2.2) Under maintenance conditions, the DC transmission capacity is limited, and the degree of limitation varies from line to line: In the formula, To connect the hydropower station The DC transmission power of power plant p during time period t, in MW; Hydropower stations The upper limit of the transmission capacity and rated capacity of the DC channel connected to power plant p during time period t, in MW; For hydroelectric power station The maintenance status variable of the DC channel connected to power plant p during time period t is a 0-1 variable. A value of 1 indicates that the DC channel is in the operation and maintenance stage, and a value of 0 indicates that the DC channel is in the normal operation stage. For hydroelectric power station The non-transmittable capacity of the DC channel connected to power plant p during time period t, in MW; For hydroelectric power station Duration of maintenance on the DC channel connected to the power plant's P-connection; 2.3) Considering the safety of power system operation in winter, maintenance of the State Grid's DC transmission lines should be avoided during the icing period: In the formula, For hydroelectric power station The icing window period of the DC channel connected to the power plant (p); This represents the set of DC channels that transmit electricity to the provinces receiving power from the State Grid.

4. The method for configuring large-scale cascade hydropower, wind power, and solar power capacity under complex power transmission constraints according to claim 2, characterized in that, The specific implementation process of step 4) is as follows: 4.1) The constraints for the intraday power output adjustment process are: In the formula, For the set of hourly time periods on day d; Hydropower station in the water-wind-solar system The per-unit curve of the power transmission plan for hydro-wind-solar power generation at power plant p on day d; This corresponds to the magnification factor; 4.2) The monthly power transmission volume and the power demand at the receiving end are matched by the following constraints: In the formula, Hydropower stations The output of the wind and solar power stations configured in power plant p during time period t, in MW; Hydropower station in the water-wind-solar system The total power generation from hydropower, wind power, and solar power at power plant point p in month m, in MW·h; For the hourly time period of month m; Hydropower station in the water-wind-solar system The monthly electricity consumption trend of the provinces to which power plant p supplies electricity is a 0-1 variable. If the electricity demand in the following month is weaker than the previous month, it is 0; if it is stronger than the previous month, it is 1.

5. A large-scale cascade hydropower, wind power, and solar power capacity configuration system under complex power transmission constraints, characterized in that, The system includes: The power plant distribution control module is used to reflect the requirements of cascade power distribution and power exchange by utilizing the control logic of power plant distribution in hydropower stations. The power plant distribution control module introduces power plant power transmission status variables, quota retention status variables, and quantitative retention status variables to describe the control logic of power plant distribution in hydropower stations. It describes the power transmission relationship of hydropower stations during the flood season and dry season, the method of dividing retained power, and the uniqueness constraint of retention form. The power plant power exchange module uses abstract modeling to describe the power exchange behavior between different hydropower stations based on channel constraints during the dry season. The new energy capacity configuration quantification module is used to construct decision variables for new energy capacity configuration and to reflect the wind and solar power output under different capacity configurations through the installed capacity output characteristics of wind and solar units, so as to achieve new energy capacity configuration optimization through objective functions and other constraints. The intelligent quantification module for power transmission capacity utilizes the maintenance status variables, non-transmission capacity variables under maintenance, and ice-limited maintenance control constraints of the DC channels connected to the power station to clarify the DC transmission capacity limitation mechanism under the influence of both equipment maintenance and grid operation control, so as to describe the time-varying characteristics of the upper limit of the transmission capacity of the DC channels connected to each power station and power plant in the cascade hydropower at different times. The multi-timescale absorption characteristic quantification module is used to construct the monthly electricity consumption trend state variables of the sending provinces based on the differences in the regulation capacity of different receiving-end power grids, and to establish the spatial constraints of the absorption capacity of the multi-receiving-end power grids. The multi-timescale absorption characteristic quantification module includes intraday regulation output constraints, which are used to constrain the output changes of the cascade hydro-wind-solar system in each time period. Furthermore, the multi-timescale absorption characteristic quantification module further establishes the matching constraints between monthly electricity transmission and receiving-end electricity demand to maintain the balance of electricity supply and demand between months. A multi-timescale nested year-round panoramic time-series optimization model is used to integrate power plant distribution control module, power plant power replacement module, new energy capacity configuration quantification module, transmission capacity intelligent quantification module, and multi-timescale absorption characteristic quantification module. It introduces the maximum target of watershed water, wind and solar power absorption to construct a year-round panoramic time-series optimization model under complex power transmission constraints, so as to realize the configuration of regional power grid wind and solar capacity planning.

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