A wind-solar-fire storage combined delivery optimization configuration method, system, device and medium

Abstract

This invention relates to a method, system, equipment, and medium for the optimized allocation of wind, solar, thermal, and energy storage combined power transmission. The method includes the following steps: based on the planned capacity of the power transmission channels to be transmitted, determining the wind-solar-thermal-energy storage power transmission channels and their transmission curves, and determining the principles for energy storage charging and discharging and the transmission method for configuring the transmission channels; based on the determined principles for energy storage charging and discharging and the transmission method, establishing a wind-solar-thermal-energy storage combined power transmission model with the objective of minimizing the operating cost of the combined system, and solving the established model using a particle swarm optimization algorithm to obtain the optimal capacity ratio of wind, solar, thermal, and energy storage. This invention can be widely applied in the field of power grid optimization.

Description

Technical Field

[0001] This invention relates to a method, system, equipment, and medium for the optimized allocation of wind, solar, thermal, and energy storage combined power transmission, taking into account system costs, and belongs to the field of power grid optimization allocation. Background Technology

[0002] To gradually achieve the goals of peaking carbon emissions before 2030 and achieving carbon neutrality before 2060, we are focusing on building a clean, low-carbon, safe, and efficient energy system. This aims to optimize and integrate local power generation, grid, and load resources, supported by breakthroughs in advanced technologies and institutional innovations. We are constructing a new power system development path that highly integrates power generation, grid, load, and storage. Utilizing existing conventional power sources, rationally allocating energy storage equipment, and promoting the combined transmission of wind, solar, thermal, and energy storage are key research directions for the future.

[0003] However, the current optimization configuration of the wind, solar, thermal and energy storage combined transmission process has the problem of high curtailment rate due to not considering the priority transmission of wind and solar new energy, and the configuration of energy storage equipment also lacks flexibility. Summary of the Invention

[0004] To address the aforementioned issues, the purpose of this invention is to provide a method, system, equipment, and medium for optimized configuration of wind, solar, thermal, and energy storage combined transmission, thereby supporting the increase of the proportion of renewable energy in combined transmission systems.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] In a first aspect, the present invention provides a method for optimizing the combined wind, solar, thermal, and energy storage power transmission, which includes the following steps:

[0007] Based on the planned capacity of the external transmission channels, the wind-solar-thermal-storage external transmission channels and their curves are determined, and the principles for configuring energy storage charging and discharging and the external transmission methods are determined.

[0008] Based on the established principles of energy storage charging and discharging and transmission methods for power transmission channels, and with the goal of minimizing the operating cost of the wind-solar-thermal-storage combined transmission system, a wind-solar-thermal-storage combined transmission model is established. The particle swarm optimization algorithm is then used to solve the established wind-solar-thermal-storage combined transmission model to obtain the optimal capacity ratio of wind, solar, thermal and storage.

[0009] Furthermore, the method for determining wind-solar-thermal-storage power transmission channels and their transmission curves based on the planned capacity of the power transmission channels, and for determining the principles for configuring energy storage charging and discharging and the transmission methods for these channels, includes:

[0010] Based on the planned capacity of the power transmission channels, determine the power transmission channels for wind, solar, thermal, and energy storage and their corresponding curves.

[0011] Based on the established wind, solar, thermal, and energy storage transmission channels, the principles for configuring energy storage charging and discharging in the transmission channels are determined.

[0012] Based on the established transmission channel curves and energy storage charging and discharging principles, a combined wind, solar, thermal, and energy storage transmission method was determined.

[0013] Furthermore, the wind-solar-thermal-storage power transmission channels include three types: ultra-high voltage direct current (UHVDC), ultra-high voltage alternating current (UHVAC), and conventional alternating current (AC). Based on the determined power transmission channels, their power transmission channel curves are determined, including:

[0014] When it is an ultra-high voltage direct current transmission channel, the curve characteristics of the external transmission channel are as follows: during the off-peak hours, that is, from 0:00 to 8:00 and 23:00, it operates at a per-unit value of 0.7, and at the rest of the time it operates at a per-unit value of 1 at full load.

[0015] When it is an ultra-high voltage AC transmission channel, its external transmission channel curve characteristics are as follows: during the off-peak hours, it operates at a per-unit value of 0.5 from 0:00 to 7:00 and 23:00, at a per-unit value of 0.75 from 8:00, 12:00 to 16:00 and 21:00 to 22:00, and at full load at a per-unit value of 1 at other times;

[0016] When selecting an ultra-high voltage conventional AC transmission channel, its external transmission channel curve characteristics are as follows: during off-peak hours, it operates at a per-unit value of 0.5 from 0:00 to 7:00 and 23:00, at a per-unit value of 0.75 from 8:00, 12:00 to 16:00, and 21:00 to 22:00, and at full load at a per-unit value of 1 at other times.

[0017] Furthermore, the determination of the energy storage charging and discharging principles for the determined power transmission channel, based on the established transmission channel, includes:

[0018] When thermal power plants operate at the minimum load rate and the theoretical output of wind and solar power exceeds the capacity of the external transmission channels, wind and solar power meet the power balance requirements through power curtailment, and energy storage facilities are in a charging state.

[0019] When thermal power plants operate at their minimum load rate and the theoretical output of wind and solar power is less than the capacity of the external transmission channels, the energy storage facilities are in a discharge state.

[0020] Furthermore, the wind-solar-thermal-storage combined transmission model includes an objective function and its constraints that minimize the operating cost of the wind-solar-thermal-storage combined transmission system.

[0021] The objective function includes the initial investment costs of wind, solar, thermal, and energy storage, as well as the equipment operation and maintenance costs, and the calculation formula is as follows:

[0022] F = min(C0 + C) m )

[0023] C0=∑(N wt C wt +N pv C pv +N ther C ther +N bat C bat fcr

[0024]

[0025] C m =∑(k wt0 P wt Δt+k pv0 P pv Δt+k ther0 P ther Δt+k bat0 P bat Δt)

[0026] In the formula, F represents the external transmission operating cost; C0 represents the initial investment cost, and C m For operation and maintenance costs, N wt N pv N ther N bat These represent the installed capacity of wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, in MW; C wt C pv C ther C bat These are the investment prices for wind power, photovoltaic, thermal power, and energy storage equipment, respectively, in RMB 10,000 / MW; cr is the depreciation factor; r is the depreciation rate; Lf is the life cycle; k wt0 k pv0 k ther0 k bat0 These are the operation and maintenance cost coefficients for wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, expressed in RMB 10,000 / MWh; P wt P pv P ther P bat These represent the power capacities of wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, in MW; Δt represents the time of change.

[0027] The constraints include power balance constraints, wind turbine capacity constraints, photovoltaic power generation system capacity constraints, energy storage facility charging and discharging capacity and power constraints, thermal power unit output upper and lower limits constraints, renewable energy utilization rate constraints, and renewable energy curtailment rate constraints.

[0028] Furthermore, when solving the established wind-solar-thermal-storage combined transmission model using the particle swarm optimization algorithm, the following steps are included:

[0029] Input parameters for wind, solar, thermal, and user load, as well as basic simulation parameters;

[0030] The spatial dimension of the population is determined based on the type and model of the wind turbine and solar turbine to be optimized, and the initial position and velocity values ​​of the particle population are initialized.

[0031] Based on the power output models of wind turbines and solar turbines, calculate wind power and solar power; determine the operating status of each unit in the wind-solar-thermal-storage power transmission system based on the scheduling strategy;

[0032] Based on the previous step, calculate the fitness of all particle populations, record the position and fitness of the best individual, and update the position and velocity of the next generation of particle populations.

[0033] Calculate the fitness of the new population and determine whether the maximum number of iterations is met. If the maximum number of iterations is not met, return to find the optimal population again. If the maximum number of iterations is met, output the position of the best individual and the optimal fitness value as the optimal capacity ratio of wind, solar and thermal power.

[0034] Secondly, this invention provides an optimized configuration system for combined wind, solar, thermal, and energy storage power transmission, the system comprising:

[0035] The power transmission channel determination module is used to determine the wind, solar, thermal and energy storage power transmission channels and their curves based on the capacity of the power transmission channels to be planned, and to determine the principles for energy storage charging and discharging and the power transmission methods for configuring the power transmission channels.

[0036] The optimal capacity ratio calculation module for wind, solar, thermal, and energy storage is used to configure the energy storage charging and discharging principles and transmission methods based on the determined external transmission channels. With the goal of minimizing the operating cost of the wind, solar, thermal, and energy storage combined external transmission system, a combined external transmission model for wind, solar, thermal, and energy storage is established. The particle swarm optimization algorithm is then used to solve the established combined external transmission model to obtain the optimal capacity ratio for wind, solar, thermal, and energy storage.

[0037] Furthermore, the wind-solar-thermal-storage combined transmission model includes an objective function and its constraints that minimize the operating cost of the wind-solar-thermal-storage combined transmission system.

[0038] The objective function includes the initial investment costs of wind, solar, thermal, and energy storage, as well as the equipment operation and maintenance costs, and the calculation formula is as follows:

[0039] F = min(C0 + C) m )

[0040] C0=∑(N wt C wt +N pv C pv +N ther C ther+N bat C bat fcr

[0041]

[0042] C m =∑(k wt0 P wt Δt+k pv0 P pv Δt+k ther0 P ther Δt+k bat0 P bat Δt)

[0043] In the formula, F represents the external transmission operating cost; C0 represents the initial investment cost, and C m For operation and maintenance costs, N wt N pv N ther N bat These represent the installed capacity of wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, in MW; C wt C pv C ther C bat These are the investment prices for wind power, photovoltaic, thermal power, and energy storage equipment, respectively, in RMB 10,000 / MW; cr is the depreciation factor; r is the depreciation rate; Lf is the life cycle; k wt0 k pv0 k ther0 k bat0 These are the operation and maintenance cost coefficients for wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, expressed in RMB 10,000 / MWh; P wt P pv P ther P bat These represent the power capacities of wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, in MW; Δt represents the time of change.

[0044] The constraints include power balance constraints, wind turbine capacity constraints, photovoltaic power generation system capacity constraints, energy storage facility charging and discharging capacity and power constraints, thermal power unit output upper and lower limits constraints, renewable energy utilization rate constraints, and renewable energy curtailment rate constraints.

[0045] Thirdly, the present invention provides a processing device, which includes at least a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the wind-solar-thermal-storage combined external transmission optimization configuration method when running the computer program.

[0046] Fourthly, the present invention provides a computer storage medium storing computer-readable instructions thereon, which can be executed by a processor to implement the steps of the wind-solar-thermal-storage combined external transmission optimization configuration method.

[0047] The present invention, by adopting the above technical solutions, has the following advantages: The wind-solar-thermal-storage combined transmission optimization configuration method provided by the present invention, based on the analysis of the matching between wind and solar resources at the sending end and the load at the receiving end, adjusts the flexibility of thermal power and rationally configures energy storage devices of different durations, effectively solving the problem of high curtailment rates caused by the failure to prioritize the transmission of wind and solar renewable energy in existing wind-solar-thermal-storage combined transmission processes. Therefore, the present invention can be widely applied in the field of power grid optimization configuration. Attached Figure Description

[0048] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts. In the drawings:

[0049] Figure 1 This is a flowchart of the wind, solar, thermal, and energy storage combined power transmission optimization configuration method provided in the embodiments of the present invention. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0051] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0052] In some embodiments of the present invention, a method for optimizing the combined wind, solar, thermal, and energy storage power transmission is provided. Based on the analysis of the matching between wind and solar resources at the sending end and the load at the receiving end, the flexibility of thermal power is adjusted, and energy storage devices of different durations are rationally configured. With the goal of minimizing the operating cost of the combined wind, solar, thermal, and energy storage power transmission system, a combined wind, solar, thermal, and energy storage power transmission model is established, and the particle swarm optimization algorithm is used to solve the established model to obtain the optimal capacity ratio of wind, solar, thermal, and energy storage. This effectively solves the problem of high curtailment rates caused by the failure to prioritize the transmission of wind and solar renewable energy in existing combined wind, solar, thermal, and energy storage power transmission processes.

[0053] Correspondingly, in other embodiments of the present invention, a wind-solar-thermal-storage combined power transmission optimization configuration system, equipment, and medium are provided.

[0054] Example 1

[0055] like Figure 1 As shown in the figure, this embodiment provides a method for optimizing the combined wind, solar, thermal, and energy storage power transmission, which includes the following steps:

[0056] 1) Based on the planned capacity of the external transmission channels, determine the wind-solar-thermal-storage external transmission channels and their curves, and determine the principles for configuring energy storage charging and discharging and the external transmission methods for the external transmission channels;

[0057] 2) Based on the determined external transmission channels, the energy storage charging and discharging principles and external transmission methods are configured. With the goal of minimizing the operating cost of the wind-solar-thermal-storage combined external transmission system, a wind-solar-thermal-storage combined external transmission model is established. The particle swarm optimization algorithm is used to solve the established wind-solar-thermal-storage combined external transmission model to obtain the optimal capacity ratio of wind, solar, thermal and storage.

[0058] Preferably, step 1) above includes the following steps:

[0059] 1.1) Based on the planned capacity of the power transmission channels, determine the wind-solar-thermal-storage power transmission channels and their transmission channel curves;

[0060] 1.2) Based on the determined power transmission channels, determine the principles for configuring energy storage charging and discharging for the power transmission channels;

[0061] 1.3) Based on the determination of the power transmission channel curve and the principles of energy storage charging and discharging, the method of power transmission through the combination of wind, solar, thermal and energy storage is determined.

[0062] Preferably, in step 1.1) above, the selectable wind-solar-thermal-storage power transmission channels include three types: ultra-high voltage direct current (UHVDC), ultra-high voltage alternating current (UHVAC), and conventional alternating current (AC). When selecting wind-solar-thermal-storage power transmission channels based on the planned capacity of the transmission channels to be planned, the method is as follows:

[0063] Based on the determined external power transmission channel capacity of 8 million kilowatts, the external power transmission channel curve is determined, including:

[0064] When it is an ultra-high voltage direct current transmission channel, its external transmission channel curve characteristics are as follows: during the off-peak period, that is, from 0:00 to 8:00 and 23:00, it operates at a per-unit value of 0.7, and at the rest of the time it operates at full load with a per-unit value of 1. In the 365 days × 24 hours of the year, which equals 8760 hours, the total utilization hours are 5653 hours.

[0065] When it is an ultra-high voltage AC transmission channel, its external transmission channel curve characteristics are as follows: during the off-peak hours, it operates at a per-unit value of 0.5 from 0:00 to 7:00 and 23:00, at a per-unit value of 0.75 from 8:00, 12:00 to 16:00 and 21:00 to 22:00, and at full load at a per-unit value of 1 during the rest of the time. The total utilization hours are 5450 hours, which is 8760 hours in 365 days × 24 hours per year.

[0066] When selecting an ultra-high voltage conventional AC transmission channel, its external transmission channel curve characteristics are as follows: during off-peak hours, it operates at a per-unit value of 0.5 from 0:00 to 7:00 and 23:00, at a per-unit value of 0.75 from 8:00, 12:00 to 16:00, and 21:00 to 22:00, and at full load at a per-unit value of 1 during the remaining time. The total utilization hours are 6405 hours, which is 8760 hours in 365 days × 24 hours per year.

[0067] Preferably, in step 1.2) above, determining the energy storage charging and discharging principles for configuring the power transmission channel based on the determined external transmission channel includes:

[0068] When thermal power plants operate at the minimum load rate and the theoretical output of wind and solar power exceeds the capacity of external transmission channels, wind and solar power meet the power balance requirements through power curtailment. At this time, energy storage plays a role in absorbing power curtailment and reducing the amount of wind and solar power curtailed through energy storage charging.

[0069] When thermal power plants operate at the minimum load rate and the theoretical output of wind and solar power is less than the capacity of the external transmission channel, the external transmission channel has energy storage discharge space. Without increasing wind and solar power curtailment, the energy storage discharge is completed to meet the requirements of the next energy storage charging.

[0070] Preferably, in step 1.3) above, the specific steps are as follows: The combined wind-solar-thermal-storage transmission method achieves complementary coupling of wind, solar, thermal, and storage in time and space, maximizing the representation of the characteristics of various renewable energy sources. That is, in spring and summer, the wind speed is relatively low and the sunshine duration is relatively long, allowing photovoltaic power plants and thermal power units to bear more load to ensure system stability. The energy storage device effectively promotes the consumption of renewable energy and ensures system stability; in autumn and winter, the wind speed is relatively high and the sunshine duration is relatively short, resulting in a smaller output of photovoltaic power plants and thermal power units.

[0071] Preferably, in step 2) above, the established wind-solar-thermal-storage combined transmission model includes an objective function and its constraints that minimize the operating cost of the wind-solar-thermal-storage combined transmission system.

[0072] The objective function includes the initial investment costs of wind, solar, thermal, and energy storage, as well as the equipment operation and maintenance costs, as shown in the following formula:

[0073] F = min(C0 + C) m (1)

[0074] C0=∑(N wt C wt +N pv C pv +N ther C ther +N bat C bat fcr (2)

[0075]

[0076] C m =∑(k wt0 P wt Δt+k pv0 P pv Δt+k ther0 P ther Δt+k bat0 P bat Δt) (4)

[0077] In the formula, F represents the external transmission operating cost; C0 represents the initial investment cost, and C m For operation and maintenance costs, N wt N pv N ther N bat These represent the installed capacity of wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, in MW; C wt C pv C ther C bat These are the investment prices for wind power, photovoltaic, thermal power, and energy storage equipment, respectively, in RMB 10,000 / MW; cris the depreciation factor; r is the depreciation rate, 5% over a 20-year lifespan; Lf is the lifespan; k wt0 k pv0 k ther0 k bat0 These are the operation and maintenance cost coefficients for wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, expressed in RMB 10,000 / MWh; P wt P pv P ther P bat These represent the power capacity of wind power, photovoltaic power, thermal power, and energy storage equipment, respectively, in MW; Δt represents the time of change.

[0078] The constraints include power balance constraints, wind turbine capacity constraints, photovoltaic power generation system capacity constraints, energy storage facility charging and discharging capacity and power constraints, upper and lower limits of thermal power unit output constraints, renewable energy utilization rate constraints, and renewable energy curtailment rate constraints. Specifically, the constraints are as follows:

[0079] ① Power balance constraints

[0080] To ensure the continuous and reliable power supply to the load by the receiving-end power grid, the entire system after the wind-solar-thermal-storage power transmission system is connected to the grid must meet the power balance constraint, as shown in the following formula:

[0081] P wt (t)+P pv (t)+P ther (t)+P bat (t)=P L (t) (5)

[0082] In the formula, P wt (t),P pv (t),P ther (t),P bat (t),P L (t) represents the power values ​​of wind power, photovoltaic power, thermal power, energy storage, and transmission channels at time t.

[0083] ② Wind turbine capacity constraints

[0084] Each type of power generation unit must have an upper and lower limit for its installed capacity; otherwise, extreme situations may easily occur during economic optimization, as shown in the following formula:

[0085]

[0086] In the formula, Let be the minimum capacity, the equivalent capacity, and the maximum capacity of wind power at time t, respectively.

[0087] ③ Capacity constraints of photovoltaic power generation systems

[0088] The maximum installed capacity of photovoltaic power generation systems must also meet the upper and lower limits, as shown in the following formula:

[0089]

[0090] In the formula, Let be the minimum capacity, the equivalent capacity, and the maximum capacity of photovoltaic power at time t, respectively.

[0091] ④ Energy storage facility charging and discharging capacity and power constraints

[0092] In a combined wind, solar, thermal, and energy storage transmission system, to ensure the safe charging and discharging of energy storage facilities and their service life, it is necessary to limit the state of charge (SOC) and charging / discharging power of these facilities. Firstly, the energy storage power must be less than the rated power. Secondly, by regulating the SOC, the energy storage facilities can be charged and discharged within a reasonable range to avoid overcharging and over-discharging, thus reducing safety risks, as shown in the following formula:

[0093] P c (t)≤P bat ,P d (t)≤P bat (8)

[0094] SOC bat (t+1)=SOC bat (t)+(P c (t+1)×η bat -P d (t+1) / η bat ) / E bat (9)

[0095] 0.1≤SOC bat (t)≤0.9 (10)

[0096] In the formula, P c (t) and P represents the charging power and discharging power of the energy storage facility at time t, respectively; c (t+1) and P d (t+1) represent the charging power and discharging power of the energy storage facility at time t+1, respectively; P bat Rated power of the energy storage facility; SOC bat (t) and SOC bat (t+1) represent the SOC values ​​of the energy storage facility at time t and time t+1, respectively; η bat For the charging efficiency of energy storage facilities; E bat This refers to the rated capacity of the energy storage facility.

[0097] ⑤ Upper and lower limits of thermal power unit output constraints

[0098] The combined wind, solar, thermal, and energy storage transmission system encourages thermal power units with regulation capabilities to conduct in-depth regulation to increase the absorption of new energy sources, as shown in the following formula:

[0099] p ther,min <p ther <p ther,max (11)

[0100] In the formula, p ther,min and p ther,max These are the minimum and maximum output power of the thermal power unit, respectively, in MW.

[0101] ⑥ Renewable energy utilization rate constraints

[0102] To reduce the scale of new thermal power generation, the proportion of renewable energy in the combined wind-solar-thermal-storage power transmission channels should, in principle, be no less than 50%, as shown in the following formula:

[0103] (∑p wt +∑p pv -∑p abandon ) / ∑p all ≥r E (12)

[0104] In the formula, ∑p wt For wind power generation, ∑p pv For photovoltaic power generation, ∑p abandon For the amount of abandoned electricity, ∑p all r represents the total power supply of the external transmission channels. E This represents the lower limit for renewable energy utilization.

[0105] ⑦ Renewable energy curtailment rate constraints

[0106] Renewable energy sources such as wind and solar power are subject to natural conditions, resulting in significant uncertainties in their output. To ensure the effective utilization of renewable energy power generation, the curtailment rate of the wind-solar-thermal-storage transmission system is constrained as follows:

[0107] ∑p abandon / (∑p wt +∑p pv +∑p abandon )≤r ar (13)

[0108] In the formula, r ar This is the lower limit for the curtailment rate of renewable energy.

[0109] Preferably, in step 2) above, when using the particle swarm optimization algorithm to solve the established wind-solar-thermal-storage combined transmission model, the following steps are included:

[0110] 2.1) Input the parameters of wind, solar, thermal loads and user loads, as well as the basic simulation parameters.

[0111] The basic simulation parameters include learning factor, number of iterations, inertia weight, and population size, which will not be elaborated upon in this invention.

[0112] 2.2) Determine the spatial dimension of the population based on the type and model of the wind turbine and solar turbine to be optimized, and initialize the initial position and velocity values ​​of the particle population.

[0113] 2.3) Calculate wind power and photovoltaic power based on the power output models of wind turbines and solar turbines. Determine the operating status of each unit within the wind-solar-thermal-storage power transmission system according to the scheduling strategy.

[0114] 2.4) Based on step 2.3), calculate the fitness of all particle populations, i.e. the external operation cost (Formula 1), and record the position and fitness of the best individual, and update the position and velocity of the next generation of particle populations;

[0115] 2.5) Calculate the fitness of the new population and determine whether the maximum number of iterations is satisfied; if the maximum number of iterations is not satisfied, return to step 2.3) to search for optimization again; if the maximum number of iterations is satisfied, proceed to the next step.

[0116] 2.6) Output the position and fitness value of the best individual, and end the algorithm.

[0117] Example 2

[0118] The above-described embodiment 1 provides a method for optimizing the combined wind, solar, thermal, and energy storage power transmission. Correspondingly, this embodiment provides a system for optimizing the combined wind, solar, thermal, and energy storage power transmission. The system provided in this embodiment can implement the method for optimizing the combined wind, solar, thermal, and energy storage power transmission in embodiment 1. This system can be implemented through software, hardware, or a combination of both. For example, the system may include integrated or separate functional modules or units to execute the corresponding steps in the methods of embodiment 1. Since the system in this embodiment is basically similar to the method embodiment, the description process in this embodiment is relatively simple. For relevant details, please refer to the description of embodiment 1. The system embodiment provided in this embodiment is merely illustrative.

[0119] This embodiment provides an optimized configuration system for combined wind, solar, thermal, and energy storage power transmission, including:

[0120] The power transmission channel determination module is used to determine the wind, solar, thermal and energy storage power transmission channels and their curves based on the capacity of the power transmission channels to be planned, and to determine the principles for energy storage charging and discharging and the power transmission methods for configuring the power transmission channels.

[0121] The optimal capacity ratio calculation module for wind, solar, thermal, and energy storage is used to configure the energy storage charging and discharging principles and transmission methods based on the determined external transmission channels. With the goal of minimizing the operating cost of the wind, solar, thermal, and energy storage combined external transmission system, a combined external transmission model for wind, solar, thermal, and energy storage is established. The particle swarm optimization algorithm is then used to solve the established combined external transmission model to obtain the optimal capacity ratio for wind, solar, thermal, and energy storage.

[0122] Example 3

[0123] This embodiment provides a processing device corresponding to the wind-solar-thermal-storage combined external transmission optimization configuration method provided in Embodiment 1. The processing device can be a processing device for a client, such as a mobile phone, laptop, tablet computer, desktop computer, etc., to execute the method of Embodiment 1.

[0124] The processing device includes a processor, a memory, a communication interface, and a bus. The processor, memory, and communication interface are connected via the bus to enable communication between them. The memory stores a computer program that can run on the processor. When the processor runs the computer program, it executes the wind-solar-thermal-storage combined power transmission optimization configuration method provided in Embodiment 1.

[0125] In some embodiments, the memory may be high-speed random access memory (RAM), and may also include non-volatile memory, such as at least one disk storage device.

[0126] In other embodiments, the processor can be a general-purpose processor of various types, such as a central processing unit (CPU) or a digital signal processor (DSP), and is not limited thereto.

[0127] Example 4

[0128] The wind-solar-thermal-storage combined transmission optimization configuration method of Embodiment 1 can be specifically implemented as a computer program product. The computer program product may include a computer-readable storage medium loaded with computer-readable program instructions for executing the wind-solar-thermal-storage combined transmission optimization configuration method of Embodiment 1.

[0129] A computer-readable storage medium can be a tangible device that holds and stores instructions for use by an instruction execution device. A computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof.

[0130] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing configuration of a combined wind-solar-thermal power transmission system, characterized in that The method comprises the following steps: Based on the capacity of the planned external transmission channel, the wind-solar-thermal storage external transmission channel and its external transmission channel curve are determined, and the principle of configuring energy storage charging and discharging of the external transmission channel and the external transmission method are determined; Based on the determined principle of configuring energy storage charging and discharging of the external transmission channel, a wind-solar-thermal storage joint external transmission model is established with the minimum operation cost of the wind-solar-thermal storage joint external transmission system as the target, and the particle swarm algorithm is used to solve the established wind-solar-thermal storage joint external transmission model to obtain the optimal capacity ratio of wind-solar-thermal storage; The method for determining the wind-solar-thermal storage external transmission channel and its external transmission channel curve based on the capacity of the planned external transmission channel comprises: Based on the determined wind-solar-thermal storage external transmission channel, the principle of configuring energy storage charging and discharging of the external transmission channel is determined; Based on the determined external transmission channel curve and the principle of energy storage charging and discharging, the wind-solar-thermal storage joint external transmission method is determined; The wind-solar-thermal storage external transmission channel comprises three external transmission channels of ultra-high voltage direct current, ultra-high voltage alternating current and conventional alternating current. When the external transmission channel curve is determined based on the determined external transmission channel, it comprises: When it is an ultra-high voltage direct current transmission channel, the external transmission channel curve characteristic is that it runs at a unit value of 0.7 during the low load period, i.e. 0:00-8:00 and 23:00, and runs at full load at a unit value of 1 during the rest of the time; When it is an ultra-high voltage alternating current transmission channel, the external transmission channel curve characteristic is that it runs at a unit value of 0.5 during the low load period, i.e. 0:00-7:00 and 23:00, runs at a unit value of 0.75 during 8:00, 12:00-16:00 and 21:00-22:00, and runs at full load at a unit value of 1 during the rest of the time; When the ultra-high voltage conventional alternating current transmission channel is selected, the external transmission channel curve characteristic is that it runs at a unit value of 0.5 during the low load period, i.e. 0:00-7:00 and 23:00, runs at a unit value of 0.75 during 8:00, 12:00-16:00 and 21:00-22:00, and runs at full load at a unit value of 1 during the rest of the time; The wind-solar-thermal storage joint external transmission model comprises a target function of minimizing the operation cost of the wind-solar-thermal storage joint external transmission system and its constraint conditions; The target function comprises the initial investment cost and the equipment operation and maintenance cost of wind-solar-thermal storage, and the calculation formula is: In the formula, is the cost of external sending operation; is the initial investment cost, is the operation and maintenance cost, is the installed capacity of wind power, photovoltaic, thermal power and energy storage equipment, respectively, with units of MW; is the investment price of wind power, photovoltaic, thermal power and energy storage equipment, respectively, with units of ten thousand yuan / MW; is the depreciation coefficient; is the depreciation rate; is the life cycle; is the operation and maintenance cost coefficient of wind power, photovoltaic, thermal power and energy storage equipment, respectively, with units of ten thousand yuan / MWh; is the power capacity of wind power, photovoltaic, thermal power and energy storage equipment, respectively, with units of MW; is the change time; The constraint conditions comprise power balance constraint, wind turbine capacity constraint, photovoltaic power system capacity constraint, energy storage facility charging and discharging capacity and power constraint, thermal power unit output upper and lower limit constraint, renewable energy utilization rate constraint and renewable energy curtailment rate constraint. 2.The method of claim 1, wherein, The method for determining the principle of configuring energy storage charging and discharging of the external transmission channel based on the determined external transmission channel comprises: When the thermal power is operated according to the minimum load rate and the theoretical output of wind and light is greater than the capacity of the external transmission channel, wind and light meet the power balance requirement through curtailment, and the energy storage facility is in the charging state; When the thermal power plant is operated at the minimum load rate and the theoretical output of wind and solar power is less than the capacity of the transmission channel, the energy storage facility is in a discharging state. 3.The method of claim 1, wherein, The particle swarm algorithm is used to solve the established wind-solar-thermal-storage combined transmission model, including the following steps: input the parameters of wind, light, fire and user load and the basic parameters of simulation; According to the type and model of the wind turbine and the photovoltaic generator to be optimized, the spatial dimension of the population is determined, and the initial position value and speed value of the particle population are initialized; According to the power output model of the wind turbine and the photovoltaic generator, the wind power and the photovoltaic power are calculated; according to the scheduling strategy, the operating state of each unit in the wind-solar-thermal-storage transmission system is determined; On the basis of the above step, the fitness of all particle populations is calculated, and the position and fitness of the optimal individual are recorded, and the position and speed of the next generation of particle population are updated; The fitness of the new population is calculated, and it is judged whether the maximum iteration number is met; if the maximum iteration number is not met, the optimization is returned; if the maximum iteration number is met, the position of the optimal individual and the optimal value of the fitness are output as the optimal capacity ratio of wind-solar-thermal-storage.

4. A wind-solar-fire storage combined delivery optimization configuration system, characterized in that, The system comprises: The transmission channel determination module is used to determine the wind-solar-thermal-storage transmission channel and its transmission channel curve based on the capacity of the transmission channel to be planned, and to determine the energy storage charging and discharging principle and the transmission method of the transmission channel configuration; The wind-solar-thermal-storage optimal capacity ratio calculation module is used to establish a wind-solar-thermal-storage combined transmission model based on the determined energy storage charging and discharging principle and transmission method of the transmission channel configuration, and to solve the established wind-solar-thermal-storage combined transmission model by using the particle swarm algorithm, so as to obtain the optimal capacity ratio of wind-solar-thermal-storage; The method for determining the wind-solar-thermal-storage transmission channel and its transmission channel curve based on the capacity of the transmission channel to be planned, and determining the energy storage charging and discharging principle and the transmission method of the transmission channel configuration, comprises the following steps: Based on the determined wind-solar-thermal-storage transmission channel, the energy storage charging and discharging principle of the transmission channel configuration is determined; Based on the determination of the transmission channel curve and the energy storage charging and discharging principle, the wind-solar-thermal-storage combined transmission method is determined; The wind-solar-thermal-storage transmission channel comprises three kinds of transmission channels, namely, ultra-high voltage direct current, ultra-high voltage alternating current and conventional alternating current. When the determined transmission channel is an ultra-high voltage direct current transmission channel, the transmission channel curve characteristic is that it is operated at a standard value of 0.7 during the low load period, i.e. 0:00-8:00 and 23:00, and is operated at full load with a standard value of 1 during the rest of the time; When it is an ultra-high voltage alternating current transmission channel, the transmission channel curve characteristic is that it is operated at a standard value of 0.5 during the low load period, i.e. 0:00-7:00 and 23:00, is operated at a standard value of 0.75 during 8:00, 12:00-16:00 and 21:00-22:00, and is operated at full load with a standard value of 1 during the rest of the time; ​ When the UHV conventional AC power transmission channel is selected, the external power transmission channel curve characteristics are as follows: in the load valley period, 0:00-7:00 and 23:00, the unit value is 0.5, in 8:00, 12:00-16:00 and 21:00-22:00, the unit value is 0.75, and in the remaining time, the unit value is 1 and the full load is run; The wind-solar-fire storage combined external transmission model comprises a target function of minimizing the operation cost of the wind-solar-fire storage combined external transmission system and constraint conditions thereof; The target function comprises an initial investment cost and a device operation and maintenance cost of the wind-solar-fire storage, and a calculation formula is as follows: In the formula, is the cost of external sending operation; is the initial investment cost, is the operation and maintenance cost, are the installed capacities of wind power, photovoltaic, thermal power and energy storage devices, respectively, with the unit of MW; are the investment prices of wind power, photovoltaic, thermal power and energy storage devices, respectively, with the unit of ten thousand yuan / MW; is the depreciation coefficient; is the depreciation rate; is the life cycle; are the operation and maintenance cost coefficients of wind power, photovoltaic, thermal power and energy storage devices, respectively, with the unit of ten thousand yuan / MWh; are the power capacities of wind power, photovoltaic, thermal power and energy storage devices, respectively, with the unit of MW; is the change time; The constraint conditions comprise power balance constraints, wind turbine capacity constraints, photovoltaic power generation system capacity constraints, energy storage facility charging and discharging capacity and power constraints, thermal power unit output upper and lower limit constraints, renewable energy utilization rate constraints and renewable energy curtailment rate constraints.

5. A processing device comprising at least a processor and a memory having stored thereon a computer program, characterized in that, The processor executes the computer program to perform the steps of the wind-solar-fire storage combined external transmission optimization configuration method according to any one of claims 1 to 3.

6. A computer storage medium, characterized in that The computer readable instructions stored thereon can be executed by the processor to implement the steps of the wind-solar-fire storage combined external transmission optimization configuration method according to any one of claims 1 to 3.

Images