Method of configuring a wind and light system

Abstract

A method for configuring a wind-solar system is provided. The wind-solar system includes: wind turbines, photovoltaic (PV) modules, and shared electrical equipment and infrastructure. The power limit of the wind-solar system is one of the full-power output of the wind turbines and the full-power output of the PV modules. The electrical equipment operates under the power limit. The configuration method includes: predicting the time-period power generation under the power limit and installed capacity configuration ratio based on resource data of the wind-solar system; determining the power generation revenue of the wind-solar system based on the time-period power generation and the time-period electricity price; determining expenditure cost data based on the installed capacity configuration ratio, electrical equipment, and infrastructure; determining evaluation indicators based on the time-period power generation, time-period electricity price, power generation revenue, and expenditure cost data; and adjusting the installed capacity configuration ratio based on the evaluation indicators to obtain an optimized installed capacity configuration ratio.

Description

Technical Field

[0001] This disclosure generally relates to the field of wind power and photovoltaic system control, and more specifically, to a configuration method for wind farm / photovoltaic power farm systems under conditions of shared power or limited power. Background Technology

[0002] Currently, wind power and solar power systems are mostly deployed separately, meaning wind power and solar power are arranged and operated on their respective independent sites. With the rapid development and advancement of new energy power systems in China, and the gradual implementation of electricity market transactions, the returns of various new energy projects are increasingly dependent on market-based electricity prices. Traditional single-energy structures (such as independent wind power or solar power projects) have weak risk resistance, making it difficult to guarantee returns.

[0003] On the other hand, in existing technologies, wind power projects and photovoltaic projects are often approved separately. Therefore, without changing the approved scale (approved power), wind power projects and / or photovoltaic projects will each have their own total power limits. Approved wind power projects and / or photovoltaic projects are not allowed to supply power to the national grid beyond their respective total power limits.

[0004] Selecting and installing photovoltaic (PV) modules within wind farms or integrating wind turbines into PV power plants not only improves the utilization rate of power transmission channels, increases project power output, reduces LCOE, and enhances project profitability, but also addresses the issue of shared wind and solar power systems. While there are existing examples of wind and solar power systems co-located in existing technologies, this is typically limited to sharing power transmission equipment such as substations, lacking a unified design and hindering effective integration. In this scenario, the sum of the full-capacity power output of the wind and solar power projects is often set to not exceed a total power limit. Although this ensures that power transmission equipment can simultaneously meet the maximum power generation needs of both wind and solar projects, the existence of peak and off-peak power generation means that full-load power generation cannot be maintained at all times, leading to wasted equipment resources. Furthermore, this decentralized design approach results in redundant construction of power equipment and infrastructure, failing to fully realize the synergistic utilization of wind and solar resources, thus increasing overall investment costs and reducing the system's economic efficiency. Summary of the Invention

[0005] One of the objectives of the exemplary embodiments disclosed herein is to provide a method for configuring a wind and solar system.

[0006] According to one aspect of this disclosure, a method for configuring a wind-solar system is provided. The wind-solar system includes: a wind turbine, photovoltaic (PV) modules, and electrical equipment and infrastructure shared by the wind turbine and PV modules. The power limit of the wind-solar system is one of the full-power output of the wind turbine and the full-power output of the PV modules, and the electrical equipment operates under the power limit. The configuration method includes: initializing the installed capacity configuration ratio of the wind turbine and PV modules; predicting the time-period power generation under the power limit and installed capacity configuration ratio based on resource data of the wind-solar system; determining the power generation revenue of the wind-solar system based on the time-period power generation and the time-period electricity price; determining expenditure cost data based on the installed capacity configuration ratio, electrical equipment, and infrastructure; determining evaluation indicators based on the time-period power generation, time-period electricity price, power generation revenue, and expenditure cost data; and adjusting the installed capacity configuration ratio according to the evaluation indicators to obtain an optimized installed capacity configuration ratio.

[0007] According to embodiments of this disclosure, the wind turbine is a single wind turbine, and the photovoltaic power generation module includes multiple photovoltaic power generation panels. A single wind turbine and photovoltaic power generation module can be integrated into a single wind-solar unit. The power equipment and infrastructure respectively include single-unit power equipment and single-unit infrastructure shared by the single wind turbine and photovoltaic power generation module. The power of the wind-solar system is limited to one of the full power of the single wind turbine and the full power of the photovoltaic power generation module.

[0008] According to embodiments of this disclosure, a wind turbine includes multiple wind turbines, and a photovoltaic power generation module includes multiple sets of photovoltaic power generation modules. Each set of photovoltaic power generation modules includes multiple photovoltaic panels. A single wind turbine and a set of photovoltaic power generation modules can be integrated into a single wind-solar unit. The power equipment and infrastructure include single-unit power equipment and single-unit infrastructure shared by the wind turbine and photovoltaic power generation modules integrated into the single wind-solar unit, as well as wind-solar farm-level power equipment and wind-solar farm-level infrastructure shared by multiple single wind-solar units. The power limit of the wind-solar system is determined based on the sum of the single-unit power limits of all single wind-solar units. The single-unit power limit of the single wind-solar unit is one of the full-power output of the integrated wind turbine and the full-power output of the photovoltaic power generation modules.

[0009] According to embodiments of this disclosure, a wind turbine includes multiple wind turbines, and a photovoltaic power generation module includes multiple photovoltaic panels. A wind farm can be constructed from multiple wind turbines, and a photovoltaic power generation module can be constructed from photovoltaic panels. The power equipment includes field-level power equipment shared by the wind farm and the photovoltaic power generation module, and the infrastructure includes field-level infrastructure shared by the wind farm and the photovoltaic power generation module. The power of the wind-solar system is limited to one of the full power output of the wind farm and the full power output of the photovoltaic power generation module.

[0010] According to embodiments of this disclosure, predicting the time-period power generation under power constraints and installed capacity configuration ratios based on the resource data includes: obtaining wind power output curves and photovoltaic power output curves based on the resource data; for each wind and solar turbine, determining the predicted wind power based on the wind power output curve and the predicted photovoltaic power based on the photovoltaic power output curve; for each power generation period, obtaining the single-unit power generation of the wind and solar turbine based on the integral of the minimum value of the sum of the predicted wind power and the predicted photovoltaic power and the single-unit power constraint over time; and for each power generation period, calculating the time-period power generation by summing the power generation of all wind and solar turbines.

[0011] According to embodiments of this disclosure, the evaluation metrics include at least one of the following: internal rate of return (FIRR), net present value (NPV), and levelized cost of electricity (LCOE), wherein the internal rate of return (FIRR) is... wp Equation 1 is satisfied, the net present value (FNPV) satisfies Equation 2, and the levelized cost of electricity (LCOE) satisfies Equation 3.

[0012] Formula 1: Formula 2:

[0013] Among them, (CI) wp -CO wp ) t Let i be the net cash flow in period t, n be the project calculation period, and i be the net cash flow in period t. c This is the benchmark rate of return.

[0014] Revenue from wind and solar power generation (CI) wp =∑(QOE) h ×EP h ).

[0015] Expenditure cost data

[0016] Power generation per time period

[0017] Single-unit power limit P sw =A kw or B kp ,not(A kw +B kp).

[0018] Where num represents the number of individual wind and solar turbines, h represents the power generation period of the k-th wind and solar turbine, and A k (δ) represents the predicted wind power of the k-th wind turbine at time δ, B k (δ) represents the predicted photovoltaic power of the k-th wind-solar unit at time δ, A kw B represents the full-power output of the wind turbine of the k-th wind-solar unit. kp For the full-power photovoltaic module of the kth wind and solar unit, EP h For time-of-use electricity pricing, C k_sw C represents the investment expenditure for the wind turbine of the k-th wind-solar unit. k_sp C represents the investment expenditure for the photovoltaic power generation modules of the k-th wind and solar power unit. e The investment expenditure for the wind and solar farm-level power equipment and the wind and solar farm-level infrastructure, where W1 is the scale impact coefficient, and O k_sw O represents the operating cost of the kth wind turbine generator. k_sp O represents the operating cost of the photovoltaic power generation modules for the kth wind and solar power unit. e The operating costs of the wind and solar farm-level power equipment and the wind and solar farm-level infrastructure.

[0019] Formula 3: Where i is the discount rate, n is the number of years the project is running, N is the total number of years the project is running, I0 is the static investment of the project, and I t For project value-added tax deduction, V R M is the residual value of fixed assets. n Y represents the operating cost in year n. n This refers to the annual electricity consumption for internet access.

[0020] According to embodiments of this disclosure, predicting time-period power generation under power constraints and installed capacity configuration ratios based on resource data includes: obtaining wind power output curves and photovoltaic power output curves based on resource data; determining the predicted wind power of a wind farm based on the wind power output curves, and determining the predicted photovoltaic power of a photovoltaic farm based on the photovoltaic power output curves; and for each power generation period, obtaining the time-period power generation by integrating the minimum value of the sum of the predicted wind power and the predicted photovoltaic power with respect to the power constraint over time.

[0021] According to embodiments of this disclosure, the evaluation metrics include at least one of the following: internal rate of return (FIRR), net present value (NPV), and levelized cost of electricity (LCOE), wherein the internal rate of return (FIRR) is... wp Equation 1 is satisfied, the net present value (FNPV) satisfies Equation 2, and the levelized cost of electricity (LCOE) satisfies Equation 3.

[0022] Formula 1: Formula 2: Among them, (CI)wp -CO wp ) t Let i be the net cash flow in period t, n be the project calculation period, and i be the net cash flow in period t. c The benchmark rate of return is the revenue from electricity generation of wind and solar systems (CI). wp =∑(QOE) h ×EP h Expenditure cost data CO wp =(C w +C p +C e )×W2+(O w +O p +O e Power generation per time period Power Limitation P w =A w or B p ,not(A w +B p ), h is the power generation period, A f (δ) represents the predicted wind power output of the wind farm at time δ, B f (δ) represents the predicted photovoltaic power of the photovoltaic power plant at time δ, A w B represents the full power output of the wind farm. p For the full power output of the photovoltaic power plant, EP h For time-of-use electricity pricing, C w For investment expenditures of wind power plants, C p For the investment expenditure of photovoltaic power plants, C e W2 represents the investment expenditure for field-level power equipment and field-level infrastructure, and O is the scale impact coefficient. w For the operating costs of wind power plants, O p For the operating costs of photovoltaic power plants, O e Operating costs for field-level power equipment and field-level infrastructure.

[0023] Formula 3: Where i is the discount rate, n is the number of years the project is running, N is the total number of years the project is running, I0 is the static investment of the project, and I t For project value-added tax deduction, V R M is the residual value of fixed assets. n Y represents the operating cost in year n. n This refers to the annual electricity consumption for internet access.

[0024] According to embodiments of this disclosure, the wind and solar system further includes energy storage devices, and the power generation revenue CI of the wind and solar system... wp Represented as CI wp =∑(QOe h ×EP h )+ESptv ES ptv For energy storage peak-valley arbitrage profits.

[0025] According to embodiments of this disclosure, the resource data includes wind resource data and photovoltaic resource data. The wind resource data includes at least wind speed, wind direction, and air density for each time period, and the photovoltaic resource data includes at least solar irradiance, ambient temperature, and sunshine duration for each time period.

[0026] According to one or more aspects of this disclosure, the provided method for configuring wind and solar systems can maximize revenue by rationally configuring the installed capacity ratio of wind power generation and photovoltaic power generation based on wind and photovoltaic resource data of the project site. Under predetermined power constraints, by optimizing the installed capacity configuration ratio of wind and solar systems, the synergistic utilization of wind and solar resources can be achieved, reducing redundant construction of equipment and infrastructure, thereby improving the overall economic efficiency and resource utilization rate of the system. Attached Figure Description

[0027] Figure 1 This is a scene diagram illustrating a landscape system according to an embodiment of the present disclosure;

[0028] Figure 2 This is a block diagram illustrating a single wind and solar unit of a wind and solar system according to an embodiment of the present disclosure;

[0029] Figure 3 This is a block diagram illustrating field-level fusion of a wind-solar system according to an embodiment of the present disclosure; and

[0030] Figure 4 This is a flowchart illustrating a method for configuring a wind and solar system according to an embodiment of the present disclosure. Detailed Implementation

[0031] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings, examples of which are illustrated in the drawings, wherein the same reference numerals always refer to the same parts. The embodiments will now be described with reference to the accompanying drawings in order to explain this disclosure.

[0032] Figure 1 This is a scene diagram illustrating a landscape system according to an embodiment of the present disclosure.

[0033] See Figure 1 The wind-solar system 100 includes: a wind turbine 110, a photovoltaic power generation module 130, and power equipment 150 and infrastructure 160 shared by the wind turbine 110 and the photovoltaic power generation module 130.

[0034] In this embodiment, the power equipment 150 may include a booster station, inverters, combiner boxes, and transmission lines and transmission lines connected to the power grid. This equipment is used to collect and transmit electrical energy generated by wind and solar power. The infrastructure 160 may include shared sites, roads, foundations, monitoring equipment, and other auxiliary facilities. This shared power equipment 150 and infrastructure 160 enables the synergistic utilization of wind and solar resources, effectively reducing redundant investment and improving the overall system's economic efficiency and resource utilization efficiency.

[0035] In this embodiment, the power limit of the wind-solar system 100 is one of the full-power output of the wind turbine 110 and the full-power output of the photovoltaic power generation module 130, and the power equipment 150 operates under this power limit. If the power limit is set too low, when both wind and photovoltaic power generation can operate at full power, the power generation needs to be reduced to ensure that the transmitted power does not exceed the national grid power limit requirements. This will lead to a reduction in the amount of power that can be transmitted, affecting the overall power generation efficiency and revenue. If the power limit is set too high, when the power generation equipment cannot operate at full power, the shared power equipment 150 and infrastructure 160 may be idle, resulting in a waste of resources. When determining the power limit of the wind-solar system, it needs to be appropriately selected according to the type of project approval: if the project is approved primarily for wind power generation, the power limit can be determined as the full-power output of the wind turbine to ensure that wind power generation can fully realize its power generation potential and improve the utilization rate of wind energy resources. If the project is approved primarily for photovoltaic power generation, the power limit should be determined as the full-power output of the photovoltaic power generation module to better utilize photovoltaic resources. This flexible power limiting option can be adapted to the project's design goals and resource utilization efficiency to ensure maximum benefit under different resource conditions.

[0036] While meeting the power restrictions imposed by the State Grid, the wind-solar system 100 can adapt to peak and off-peak power generation by adjusting the full-power output of the wind turbine 110 and the configuration ratio of the photovoltaic power generation modules 130, thereby improving equipment utilization and avoiding resource waste. Furthermore, the shared power equipment 150 and infrastructure 160 reduce the need for redundant construction, lowering the overall investment cost of the project.

[0037] Figure 2 This is a block diagram illustrating a wind and solar system unit according to an embodiment of the present disclosure.

[0038] Reference Figure 1 and Figure 2The wind turbine 110 includes multiple wind turbines, and the photovoltaic power generation module 130 includes multiple sets of photovoltaic power generation modules. Each set of photovoltaic power generation modules includes multiple photovoltaic panels. According to the embodiment, the wind-solar system 100 may include a wind-solar unit 200. In this embodiment, a wind turbine 111 from the multiple wind turbines and a set of photovoltaic power generation modules 131 from the multiple sets of photovoltaic power generation modules can be integrated into a wind-solar unit 200. Furthermore, the power equipment 150 includes a single-unit power equipment 151 shared by the single wind turbine 111 and the photovoltaic power generation module 131 integrated into the wind-solar unit 200. The infrastructure 160 includes a single-unit infrastructure 161 shared by the single wind turbine 111 and the photovoltaic power generation module 131 integrated into the wind-solar unit 200. The single wind turbine 111 may include a wind turbine, tower, etc., and the photovoltaic power generation module 131 may include photovoltaic modules, supports, DC cables, etc. The single-unit power equipment 151 may include the parts of the power equipment 150 shared by a single wind turbine 111 and photovoltaic power generation module 131 in the wind and solar single-unit 200, such as inverter combiner equipment, box-type transformers (box-type substations), etc. Furthermore, the power equipment 150 and infrastructure 160 may also include wind and solar farm-level power equipment 152 and wind and solar farm-level infrastructure 162 shared by multiple wind and solar single-unit 200 units, respectively. As an example, wind and solar farm-level power equipment 152 may include transmission line step-up substations, power transmission projects, etc. Wind and solar farm-level infrastructure 162 may include farm-level shared sites, transportation roads, common foundations, and installation facilities, etc.

[0039] In embodiments including a single wind-solar unit 200, the power limitation P of the wind-solar system 100 is... w Based on the sum of the single-unit power limits ΣP of all wind and solar power units (200). sw To determine the single-unit power limit P of the wind and solar power unit 200. sw The full power output A of the integrated wind turbine kw And the full power output B of photovoltaic power generation modules kp One of them, P sw =A kw or B kp ,out(A kw +B kp ).

[0040] Although Figure 2The illustration shows an embodiment where the wind turbine 110 includes multiple wind turbines; however, in another embodiment, the wind turbine 110 is a single wind turbine 111, and the photovoltaic power generation module 131 includes multiple photovoltaic panels, and the single wind turbine 111 and the photovoltaic power generation module 131 are integrated into a single wind-solar unit 200. In this case, the power equipment and infrastructure include a single-unit power equipment 151 and a single-unit infrastructure 161 shared by the single wind turbine and the photovoltaic power generation module, respectively. Because the wind-solar system 100 includes only a single wind-solar unit 200, the power limit P of the wind-solar system 100 is... sw This refers to either the full power output of the integrated wind turbine or the full power output of the photovoltaic power generation module. The wind-solar farm-level power equipment 152 and wind-solar farm-level infrastructure 162 described above can be omitted, and other similar or repetitive descriptions will be omitted.

[0041] Figure 3 This is a block diagram illustrating field-level fusion of a wind and solar system according to an embodiment of the present disclosure.

[0042] Figure 3 The device and reference shown Figure 1 and Figure 2 The devices described are essentially the same or similar, so the differences between them will be described below. Descriptions of similar or identical devices will be omitted.

[0043] and Figure 2 The difference between the shown landscape system 100 and the one shown is that... Figure 3 The wind and solar system shown does not include the wind and solar unit 200.

[0044] Reference Figure 1 and Figure 3 A wind farm 112 can be composed of multiple wind turbines 110, and a photovoltaic farm 132 can be composed of multiple photovoltaic power generation modules 130. The power equipment 150 includes farm-level power equipment 153 shared by both the wind farm 112 and the photovoltaic farm 132. The infrastructure 160 includes farm-level infrastructure 163 shared by both the wind farm 112 and the photovoltaic farm 132. As an example, farm-level power equipment 153 may include transmission line substations, power transmission projects, etc. Farm-level infrastructure 163 may include shared farm-level sites, transportation roads, common foundations, and installation facilities, etc.

[0045] In such an embodiment, the power limitation P of the wind-solar system 100 is... w The full power output of wind power plant 112 is A w And the full power output of the photovoltaic power plant B132 p One of them, namely P w =A w or B p,not(A w +B p ).

[0046] Figure 4 This is a block diagram illustrating field-level fusion of a wind and solar system according to an embodiment of the present disclosure.

[0047] like Figure 2 As shown, in step S01, the installed capacity configuration ratio of wind turbines and photovoltaic power generation modules is initialized. For example, in a power plant with a determined total power limit, the utilization rate of power generation resources can be improved and revenue maximized by integrating wind turbines and photovoltaic power generation modules. The initialization step can be set according to the general conditions of the project location. For example, if the project location has abundant wind resources, the installed capacity of wind power generation can be configured to a higher proportion, such as wind power accounting for 70% of the total installed capacity and photovoltaic power generation accounting for 30%, and vice versa. By reasonably configuring the ratio of the two, the shared power equipment and infrastructure can be used most effectively, avoiding equipment idleness or over-construction. The adjustment of the configuration ratio will be described in detail in subsequent steps to ensure that the wind and solar system maximizes revenue under different resource conditions.

[0048] In step S02, based on the resource data of the wind and solar system, the power generation per time period is predicted under the power constraints and the installed capacity configuration ratio.

[0049] Resource data for wind and solar systems includes wind resource data and photovoltaic resource data. Wind resource data includes at least time-period data such as wind speed, wind direction, and air density to calculate wind power output. Photovoltaic resource data includes at least time-period data such as solar irradiance, ambient temperature, and sunshine duration to determine photovoltaic power output. Based on this resource data, the system's power generation capacity can be accurately predicted under different conditions and at different times (e.g., time-period, minute-period, or second-period).

[0050] The power limit and installed capacity in step S02 can be determined based on the configuration of the wind and solar system.

[0051] Simplified Example 1: If the wind and light system follows... Figure 2 The wind-solar system 100 shown is configured such that all wind turbines 110 and all photovoltaic power generation modules 130 are integrated into a single wind-solar unit 200. In this case, the power limit P of the wind-solar system 100 is... w =∑P sw The following steps are performed to determine the power generation per time period:

[0052] A. Obtain wind power output curves and photovoltaic power output curves based on resource data;

[0053] B. For each wind turbine with a capacity of 200, determine the predicted wind power A based on the wind power output curve. k (δ), and determine the predicted photovoltaic power B based on the photovoltaic output curve. k (δ);

[0054] C. For each power generation period h, based on the sum of the predicted wind power and the predicted photovoltaic power (A k (δ)+B k (δ) and single-machine power limit P sw The minimum value Min[A k (δ)+B k (δ)), P sw The power generation of a single wind and solar power unit is obtained by integrating the time. Here, h represents the power generation period of the k-th wind and solar turbine unit, and δ is the time interval. δ can be a smaller time unit than the power generation period h; for example, the power generation period h can be 1 hour, and δ can be 1 minute or 1 second. k (δ) represents the predicted wind power of the k-th wind turbine at time δ, B k (δ) represents the predicted photovoltaic power of the k-th wind-solar unit at time δ. This method ensures that the power of the wind-solar unit will not exceed the power limit P throughout the entire time period h. sw ;

[0055] D. For each power generation period h, the power generation per period is calculated by summing the power generation of all individual wind and solar units, i.e., the power generation per period. num represents the number of individual wind and light units.

[0056] Simplified Example 2, if the wind and light system follows Figure 3 The wind and solar system 100 shown is configured as follows. The following steps are then performed to determine the time-period power generation:

[0057] A. Obtain wind power output curves and photovoltaic power output curves based on resource data;

[0058] B. Determine the predicted wind power output of wind farm 112 based on the wind power output curve. f (δ), and determine the predicted photovoltaic power B of photovoltaic power plant 132 based on the photovoltaic output curve. f (δ);

[0059] C. For each power generation period, based on the sum of the predicted wind power and the predicted photovoltaic power (A f (δ)+B f (δ) and power limit P w The minimum value Min[(A f (δ)+B f (δ)), P wThe power generation per time period is obtained by integrating over time. Here, h represents the power generation period, and δ represents the time. δ can be a smaller time unit than the power generation period h. For example, the power generation period h can be 1 hour, and δ can be 1 minute or 1 second. f (δ) represents the predicted wind power output of wind farm 112 at time δ, B f (δ) represents the predicted photovoltaic power of photovoltaic power plant 132 at time δ. This method ensures that the total power of wind power plant 112 and photovoltaic power plant 132 will not exceed the power limit P during the entire time period h. w ;

[0060] In step S03, the electricity revenue of the wind and solar system is determined based on the time-period power generation and the time-period electricity price. That is, the electricity revenue CI of the wind and solar system. wp =∑(QOE) h ×EP h ), where EP h This is a time-of-use electricity price. If we estimate the annual electricity generation revenue, the total number of hours in a year is 356 (days) × 24 (hours), which corresponds to 8760 hours. If we estimate the daily revenue from electricity generation, we can divide it into 24 hours, that is, Where h represents 1 hour.

[0061] Setting time-of-use (TOU) electricity price parameters plays a crucial role in the economic evaluation of wind and solar power systems. Currently, electricity pricing models under the new power system are complex and diverse, including fixed prices, fluctuations around benchmark coal-fired power prices, market-traded prices, time-of-use prices, and combinations of guaranteed and traded prices. To accurately reflect the actual electricity price policies and implementation in various provinces, cities, and regions, it is necessary to dynamically adjust the logical parameters of the electricity price model, transforming the complex pricing mechanism into TOU-specific inputs that match the project. This approach allows for precise simulation of electricity price fluctuations in the actual market environment, thus providing a more reliable basis for revenue forecasting and optimal allocation of wind and solar power systems.

[0062] In embodiments where the wind-solar system includes energy storage devices, the electricity revenue CI of the wind-solar system... wp Represented as CI wp =∑(QOE) h ×EP h )+ES ptv ES ptvFor peak-valley arbitrage profits from energy storage. Integrating energy storage devices into wind and solar systems allows for additional revenue generation by taking advantage of electricity price fluctuations during peak and off-peak periods. Energy storage systems can store excess electricity during off-peak hours when electricity prices are low or when renewable energy generation exceeds demand; then, during peak hours when electricity prices are high, the stored electricity is released back into the grid, thus profiting from the peak-valley price difference.

[0063] In step S04, expenditure cost data is determined based on the installed capacity configuration ratio, the time-period electricity price, power equipment, and infrastructure. Specifically, expenditure cost data includes equipment purchase costs, installation costs, operation and maintenance costs, and other infrastructure-related costs.

[0064] In the simplified example 1, for each individual wind and solar turbine, the cost data for the single-unit power equipment includes the purchase cost and installation fees of the inverter, transformer, combiner box, etc.; the cost data for the single-unit infrastructure includes the cost of the base, supports, roads, and other infrastructure. In addition, the operating and maintenance costs at the single-unit level, as well as the costs of the wind and solar farm-level infrastructure and power equipment used to adapt to the single wind and solar turbine, must also be considered. For example, cost data... C k_sw The investment expenditure for the wind turbine of the kth wind-solar unit may include, for example, the costs of the turbine, tower, foundation, hoisting, platform, land use, etc. C k_sp The investment expenditure for the photovoltaic power generation components of the k-th wind and solar unit may include, for example, the costs of photovoltaic components, brackets, foundations, installation, DC cables, land use, etc. e Investment expenditures for the wind and solar farm-level power equipment and infrastructure may include, for example, shared inverter combiner equipment, transformer substations, power lines, roads, substations, and power transmission projects. W1 is the scale impact coefficient, 0 k_sw O represents the operating cost of the kth wind turbine generator. k_sp O represents the operating cost of the photovoltaic power generation modules for the kth wind and solar power unit. e The operating costs of the wind and solar farm-level power equipment and the wind and solar farm-level infrastructure.

[0065] In the simplified example two, for field-level infrastructure and field-level power equipment, expenditure cost data includes the purchase and construction costs of substations, transmission lines, and power transmission projects, as well as their installation and operation and maintenance costs. These costs include the integrated construction cost of the entire wind and solar system to ensure the efficient utilization and long-term reliable operation of field-level facilities within the wind and solar power farm. For example, expenditure cost data CO wp =(C w +C p +C e )×W2+(O w +O p +Oe ), C w Investment expenditures for the wind power plant may include, for example, wind turbines, towers, foundations, hoisting equipment, platforms, etc. p Investment expenditures for the photovoltaic power plant may include, for example, costs for photovoltaic modules, brackets, foundations, installation, DC cables, AC lines, land use, etc. e Investment expenditures for the aforementioned field-level power equipment and infrastructure may include, for example, shared inverter combiner equipment, transformer substations, power lines, roads, step-up substations, and power transmission projects. W2 is the scale impact coefficient, 0 w O represents the operating cost of the wind farm. p O represents the operating cost of the photovoltaic power plant. e The operating costs of the field-level power equipment and the field-level infrastructure.

[0066] It should be noted that the scale impact coefficients W1 and W2 are used to reflect the impact of project scale on investment costs. Generally, as the project scale increases, the investment cost per unit installed capacity decreases. This is because large-scale projects can more effectively distribute fixed costs, such as equipment purchase, infrastructure construction, and management fees. Therefore, generally speaking, the larger the scale, the lower the investment. The scale impact coefficients W1 and W2 can be set to values ​​less than 1 to reflect economies of scale. By introducing the scale impact coefficients, the investment cost of the project can be estimated more accurately, thereby optimizing the configuration scheme of the wind and solar system and improving the overall economic efficiency of the project.

[0067] In step S05, evaluation indicators are determined based on time-period power generation, time-period electricity price, power generation revenue, and expenditure cost data. Evaluation indicators include at least one of the following: internal rate of return, net present value, and levelized cost of electricity (LCOE).

[0068] Internal Rate of Return (FIRR) wp The net present value (FNPV) satisfies Equation 1, Equation 2, and the levelized cost of electricity (LCOE) satisfies Equation 3.

[0069] Formula 1:

[0070] Formula 2:

[0071] Among them, (CI) wp -CP wp ) t Let i be the net cash flow in period t, n be the project calculation period, and i be the net cash flow in period t. c As the benchmark rate of return,

[0072] Formula 3:

[0073] Where i is the discount rate, n is the number of years the project is running, N is the total number of years the project is running, I0 is the static investment of the project, and I t For project value-added tax deduction, V R M is the residual value of fixed assets. n Y represents the operating cost in year n. n This refers to the annual electricity consumption for internet access.

[0074] In simplified example one:

[0075] Revenue from wind and solar power generation (CI) wp =∑(QOE) h ×EP h ),

[0076] Power generation per time period

[0077] Single-unit power limit P sw =A kw or B kp ,not(A kw +B kp ),

[0078] Among them, A k (δ) represents the predicted wind power of the k-th wind turbine at time δ, B k (δ) represents the predicted photovoltaic power of the k-th wind-solar unit at time δ, A kw B represents the full-power output of the wind turbine of the k-th wind-solar unit. kp For the full-power photovoltaic module of the kth wind and solar unit, EP h Electricity is charged on a time-of-use basis.

[0079] In simplified example two:

[0080] Revenue from wind and solar power generation (CI) wp =∑(QOE) h ×EP h ),

[0081] Power generation per time period

[0082] Power Limitation P of Wind and Solar Systems w =A w or B p ,not(A w +B p ),

[0083] Among them, A f (δ) represents the predicted wind power output of the wind farm at time δ, B f (δ) represents the predicted photovoltaic power of the photovoltaic power plant at time δ, A wB represents the full-capacity power output of the wind farm. p EP represents the full-capacity power output of the photovoltaic power plant. h Electricity is charged on a time-of-use basis.

[0084] It should be noted that, although not listed in detail, the operating cost M in year n is... n The operating cost of a single wind turbine generator can be determined by the wind-solar system. k_sw The operating cost of photovoltaic power generation modules for a single wind and solar unit is O k_sp And the operating costs of wind and solar farm-level power equipment and wind and solar farm-level infrastructure. e This can be obtained, or through the operating costs of a wind farm. w The operating cost of a photovoltaic power plant is O p And the operating costs of field-level power equipment and field-level infrastructure. e To obtain. As equipment ages, the frequency of maintenance and repairs may increase, leading to increased operating costs M. n Operating costs can rise. During the equipment's lifespan, major overhauls or replacement of critical components may be necessary, leading to a surge in operating costs in certain years. Operating costs are also affected by inflation and rising labor costs, requiring adjustments to the model. For example, a time-varying cost curve can be built as needed to estimate the operating cost M in year n. n .

[0085] In addition, annual electricity consumption Y n It can be done The result is obtained by finding that h represents one hour, and the total number of hours in a year is 356 (days) × 24 (hours) = 8760 (hours). The efficiency of photovoltaic modules and wind turbines may slowly decrease over time. Photovoltaic modules typically degrade by about 0.5% to 1% per year. Long-term climate change may affect wind speed and solar radiation conditions, which in turn affect power generation. In calculating Y... n At the same time, the annualized performance degradation of the equipment can also be considered. For example, d represents the annual decay rate.

[0086] In step S06, the installed capacity configuration ratio is adjusted according to the evaluation indicators to obtain an optimized installed capacity configuration ratio.

[0087] Specifically, the current configuration is first evaluated based on assessment metrics, such as at least one of the following: internal rate of return (IRR), net present value (NPV), and levelized cost of electricity (LCOE) determined from data on power generation, electricity price, power generation revenue, and expenditure costs. If any metric fails to meet expectations, the installed capacity ratio of wind turbines and photovoltaic modules is adjusted, and the assessment metrics are recalculated.

[0088] The process of adjusting the installed capacity configuration ratio can be gradually optimized through iterative calculations. In each iteration, the direction of parameter adjustment is first determined, such as increasing wind power installed capacity or increasing photovoltaic installed capacity. Then, the power generation, power revenue, cost data, and corresponding evaluation indicators for each time period are recalculated to determine whether the system's profitability has improved.

[0089] During the optimization process, the evaluation metrics have already taken into account power constraints and fluctuations in resource data such as wind and solar radiation conditions. Therefore, the optimization steps improve system profitability by adjusting the installed capacity configuration ratio and performing iterative calculations. If a certain evaluation metric (such as internal rate of return, net present value, or levelized cost of electricity) does not meet expectations, the ratio of wind and solar power generation is adjusted further, and the time-period power generation and system profitability are recalculated until the optimal configuration is obtained. Through this iterative optimization, it is possible to ensure that the system maximizes profitability under different resource conditions, thereby improving overall economic efficiency and resource utilization efficiency.

[0090] It should be noted that although the term "hourly" is used in the above description, in the example embodiment, "hourly" can be further refined to 15 minutes or other granularities.

[0091] This disclosure provides a configuration method for wind-solar (storage) systems. By configuring the installed capacity ratio of wind turbines and photovoltaic modules under conditions of single-unit shared power or power limitation, and field-level shared power or power limitation, the system's profitability is effectively maximized. Regarding the single-unit shared power of wind-solar (storage) systems, this invention significantly reduces field-level investment costs, increases project power generation and overall rate of return, while simultaneously lowering the levelized cost of electricity (LCOE). This scheme helps improve the benchmark return level of wind power projects with low yield margins and enhances the utilization rate of transmission channels through the integration of wind, solar, and storage.

[0092] At the same time, it helps old projects and new projects in low-wind-speed areas to meet the benchmark yield, enabling these projects to have economic development value in the new market environment and providing strong support for the development of the photovoltaic industry.

[0093] In summary, this invention optimizes the installed capacity configuration ratio of wind and solar power systems, achieving coordinated design and utilization of wind and solar resources, reducing redundant construction of equipment and infrastructure, thereby improving the overall economic efficiency and resource utilization of the system, and providing an economical, flexible and efficient solution for new energy power generation projects.

Claims

1. A method for configuring a wind-solar system, characterized in that, The wind-solar system includes: a wind turbine, photovoltaic power generation modules, and electrical equipment and infrastructure shared by the wind turbine and the photovoltaic power generation modules. The power of the wind-solar system is limited to one of the full-power output of the wind turbine and the full-power output of the photovoltaic power generation modules. The electrical equipment operates within the power limit. The configuration method includes: Initialize the installed capacity configuration ratio of the wind turbine and the photovoltaic power generation module; Based on the resource data of the wind and solar system, predict the power generation per time period under the power limit and the installed capacity configuration ratio; The power generation revenue of the wind and solar system is determined based on the time-period power generation and the time-period electricity price. The expenditure cost data is determined based on the installed capacity configuration ratio, the power equipment, and the infrastructure. Evaluation indicators are determined based on the time-period power generation, the time-period electricity price, the power generation revenue, and the expenditure cost data; The installed capacity configuration ratio is adjusted according to the evaluation indicators to obtain an optimized installed capacity configuration ratio.

2. The configuration method according to claim 1, characterized in that, The wind turbine is a single wind turbine, and the photovoltaic power generation module includes multiple photovoltaic panels. The single wind turbine and the photovoltaic power generation module are integrated into a single wind-solar unit. The power equipment and the infrastructure respectively include single-unit power equipment and single-unit foundation shared by the single wind turbine and the photovoltaic power generation module. The power of the wind-solar system is limited to either the full power output of the single wind turbine or the full power output of the photovoltaic power generation module.

3. The configuration method according to claim 1, characterized in that, The wind turbines include multiple wind turbines, and the photovoltaic power generation modules include multiple sets of photovoltaic power generation modules. Each set of photovoltaic power generation modules includes multiple photovoltaic panels. A single wind turbine and a set of photovoltaic power generation modules are integrated into a single wind-solar unit. The power equipment and the infrastructure respectively include single-unit power equipment and single-unit foundation shared by the wind turbines and photovoltaic power generation modules integrated into the single wind-solar unit, and wind-solar farm-level power equipment and wind-solar farm-level foundation shared by multiple single wind-solar units. The power limit of the wind and solar system is determined by the sum of the power limits of all individual wind and solar turbines. The power limit of an individual wind and solar turbine is either the full power of the wind turbine integrated therein or the full power of the photovoltaic power generation module.

4. The configuration method according to claim 1, characterized in that, The wind turbines include multiple wind turbines, and the photovoltaic power generation modules include multiple photovoltaic panels. The multiple wind turbines constitute a wind farm, and the photovoltaic power generation modules constitute a photovoltaic power farm. The power equipment and the infrastructure respectively include farm-level power equipment and farm-level infrastructure shared by the wind farm and the photovoltaic power farm. The power of the wind-solar system is limited to either the full power output of the wind power plant or the full power output of the photovoltaic power plant.

5. The configuration method according to claim 3, characterized in that, The step of predicting the time-period power generation under the power limitation and the installed capacity configuration ratio based on the resource data includes: Based on the resource data, wind power output curves and photovoltaic power output curves are obtained; For each wind and solar turbine, the predicted wind power is determined based on the wind power output curve, and the predicted photovoltaic power is determined based on the photovoltaic power output curve. For each power generation period, the power generation of the wind and solar power unit is obtained by integrating the minimum value of the sum of the predicted wind power and the predicted photovoltaic power and the single unit power limit with respect to time. For each power generation period, the power generation for each period is calculated by summing the power generation of all individual wind and solar units.

6. The configuration method according to claim 5, characterized in that, The evaluation indicators determined based on the time-period power generation, the time-period electricity price, the power generation revenue, and the expenditure cost data include at least one of the following: internal rate of return, net present value, and levelized cost of electricity. Wherein, the internal rate of return (FIRR) wp The financial net present value (FNPV) satisfies Equation 1, Equation 2, and the levelized cost of electricity (LCOE) satisfies Equation 3. Formula 1: Formula 2: Among them, (CI) wp -CO wp ) t Let i be the net cash flow in period t, n be the project calculation period, and i be the net cash flow in period t. c As the benchmark rate of return, The electricity revenue CI of the wind and solar system wp =∑(QOE) h ×EP h ), The expenditure cost data: Power generation per time period The single-machine power limit P sw =A kw or B kp ,not(A kw +B kp ), num represents the number of individual wind and solar turbines, h represents the power generation period of the k-th wind and solar turbine, and A k (δ) represents the predicted wind power output of the k-th wind turbine at time δ, B k (δ) represents the predicted photovoltaic power of the k-th wind-solar unit at time δ, A kw B represents the full-power output of the wind turbine of the k-th wind-solar unit. kp For the full-power photovoltaic module of the kth wind-solar unit, EP h For time-of-use electricity pricing, C k_sw C represents the investment expenditure for the wind turbine of the k-th wind-solar unit. k_sp C represents the investment expenditure for the photovoltaic power generation modules of the k-th wind and solar power unit. e The investment expenditure for the wind and solar farm-level power equipment and the wind and solar farm-level infrastructure, where W1 is the scale impact coefficient, and O k_sw O represents the operating cost of the kth wind turbine generator. k_sp O represents the operating cost of the photovoltaic power generation modules for the kth wind and solar power unit. e The operating costs of the wind and solar farm-level power equipment and the wind and solar farm-level infrastructure. Formula 3: Where i is the discount rate, n is the number of years the project is running, N is the total number of years the project is running, I0 is the static investment of the project, and I t For project value-added tax deduction, V R M is the residual value of fixed assets. n Y represents the operating cost in year n. n This refers to the annual electricity consumption for internet access.

7. The configuration method according to claim 4, characterized in that, The step of predicting the time-period power generation under the power limitation and the installed capacity configuration ratio based on the resource data includes: Based on the resource data, wind power output curves and photovoltaic power output curves are obtained; The predicted wind power of the wind farm is determined based on the wind power output curve, and the predicted photovoltaic power of the photovoltaic farm is determined based on the photovoltaic output curve. For each power generation period, the time-period power generation is obtained by integrating the sum of the predicted wind power and the predicted photovoltaic power with respect to the minimum value of the power limit over time.

8. The configuration method according to claim 7, characterized in that, The evaluation indicators determined based on the time-period power generation, the time-period electricity price, the power generation revenue, and the expenditure cost data include at least one of the following: internal rate of return, net present value, and levelized cost of electricity. Wherein, the internal rate of return (FIRR) wp The financial net present value (FNPV) satisfies Equation 1, Equation 2, and the levelized cost of electricity (LCOE) satisfies Equation 3. Formula 1: Formula 2: Among them, (CI) wp -CO wp ) t Let i be the net cash flow in period t, n be the project calculation period, and i be the net cash flow in period t. c As the benchmark rate of return, The electricity revenue CI of the wind and solar system wp =∑(QOE) h ×EP h ), The expenditure cost data CO wp =(C w +C p +C e )×W2+(O w +O p +O e ), Power generation per time period The power limit P w =A w or B p ,not(A w +B p ) h represents the power generation period, A f (δ) represents the predicted wind power output of the wind farm at time δ, B f (δ) represents the predicted photovoltaic power of the photovoltaic power plant at time δ, A w B represents the full-capacity power output of the wind farm. p EP represents the full-capacity power output of the photovoltaic power plant. h For time-of-use electricity pricing, C w C represents the investment expenditure for the aforementioned wind power plant. p C represents the investment expenditure for the photovoltaic power plant. e W2 represents the investment expenditure for the aforementioned field-level power equipment and the aforementioned field-level infrastructure, and W2 is the scale impact coefficient. w O represents the operating cost of the wind farm. p O represents the operating cost of the photovoltaic power plant. e The operating costs of the aforementioned field-level power equipment and the aforementioned field-level infrastructure. Formula 3: Where i is the discount rate, n is the number of years the project is running, N is the total number of years the project is running, I0 is the static investment of the project, and I t For project value-added tax deduction, V R M is the residual value of fixed assets. n Y represents the operating cost in year n. n This refers to the annual electricity consumption for internet access.

9. The configuration method according to claim 6 or claim 8, characterized in that, The wind and solar system also includes energy storage devices, and the power generation revenue CI of the wind and solar system wp Represented as CI wp =∑(QOE) h ×EP h )+ES ptv ES ptv For energy storage peak-valley arbitrage profits.

10. The configuration method according to claim 1, characterized in that, The resource data includes wind resource data and photovoltaic resource data. The wind resource data includes at least wind speed, wind direction, and air density for each time period. The photovoltaic resource data includes at least solar irradiance, ambient temperature, and sunshine hours for each time period.

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