Method, device and equipment for determining green power alternative scheme of power grid

Abstract

The invention provides a method, a device and equipment for determining a green power substitution scheme of a power grid. The method comprises the following steps: acquiring basic data of a green power substitution optimization object of a target power grid; generating a plurality of wind power and photovoltaic combination schemes with different wind-solar proportions according to the basic data; determining an off-grid power range according to the basic data; according to the off-grid power range, simulating to obtain power balance data of each wind power and photovoltaic combination scheme in a target time period; obtaining target index data of each wind power and photovoltaic combination scheme according to the power balance data; and determining a target wind power and photovoltaic combination scheme according to the target index data. According to the scheme, after green power replacement, the peak regulation pressure of the power grid can be reduced while the power supply and demand balance is met.

Description

Technical Field

[0001] The present invention relates to the field of power grid technology, and in particular to a method, device and equipment for determining a green electricity replacement solution for a power grid. Background Art

[0002] As the proportion of new energy (such as wind power and photovoltaics) in the power system continues to increase, how to maintain the stability of the system and reduce the peak-shaving pressure of the power grid during the replacement of new energy has become a key technical challenge. The current configuration and scheduling of new energy mainly rely on production simulation tools and financial evaluation tools. However, these two types of tools usually operate independently and lack integrated design. Production simulation tools are used to simulate the matching relationship between new energy generation and load, while financial evaluation tools are used to analyze the economic feasibility of different solutions. Because the two are not closely integrated in operation, the optimization process is cumbersome and inefficient.

[0003] At the same time, existing production simulation software only considers the current power shortage and energy storage status in energy storage scheduling. For example, when the load is higher than the power generation, the system will discharge based on the remaining power of the current energy storage, but fails to consider the load demand and power generation changes in the future period. This single-period decision-making method has the following shortcomings:

[0004] Uneven discharge: When the energy storage system is completely discharged during high-load periods, it may result in the energy storage system having no electricity to discharge in subsequent periods, making it unable to meet future load demands, increasing the peak-to-valley difference in grid electricity.

[0005] Pressure on grid peak regulation: The energy storage system fails to perform dynamic optimization in multiple time periods, resulting in an increase in the peak-to-valley difference of grid power, which brings additional peak regulation pressure to the grid and affects the stability of the power system. Summary of the invention

[0006] The technical problem to be solved by the present invention is to provide a method, device and equipment for determining a green electricity replacement solution for a power grid, which can meet the balance of power supply and demand while reducing the peak-shaving pressure of the power grid after green electricity replacement.

[0007] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0008] A method for determining a green electricity alternative for a power grid, comprising:

[0009] Obtain basic data of green electricity substitution optimization objects of the target power grid;

[0010] Generate a variety of wind power and photovoltaic combination schemes with different wind-solar ratios based on the basic data;

[0011] Determine the off-grid power range based on the basic data;

[0012] According to the off-grid power range, simulate and obtain the power balance data of each wind power and photovoltaic combination scheme within the target time period;

[0013] According to the power balance data, target indicator data of each wind power and photovoltaic combination scheme is obtained;

[0014] According to the target indicator data, a target wind power and photovoltaic combination plan is determined.

[0015] Optionally, determining the off-grid power range according to the basic data includes:

[0016] Determine the load peak-to-valley difference rate according to the maximum load value and the minimum load value in the basic data;

[0017] The off-grid power range is determined according to the load peak-to-valley difference rate.

[0018] Optionally, according to the off-grid power range, power balance data of each wind power and photovoltaic combination scheme within a target time period is simulated, including:

[0019] According to the off-grid power range, simulating the power supply and demand balance of the wind power and photovoltaic combination scheme at each time, obtaining a first simulation result that there is a power gap in the current power supply or a second simulation result that there is no power gap in the current power supply;

[0020] When there is a power gap in the current power supply, power balance simulation is performed through at least one of energy storage discharge, load reduction or increased off-grid power to obtain power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment;

[0021] When there is no power gap in the current power supply, power balance simulation is performed through at least one of energy storage charging, load increase or increasing the amount of online power, to obtain power supply and demand balance data of the wind power and photovoltaic combination solution at each moment.

[0022] Optionally, according to the off-grid power range, the power supply and demand balance of the wind power and photovoltaic combination scheme at each time is simulated to obtain a first simulation result that there is a power gap in the current power supply or a second simulation result that there is no power gap in the current power supply, including:

[0023] Determine the power supply at the current moment according to the wind power generation, the photovoltaic power generation and the minimum off-grid power in the off-grid power range;

[0024] According to the load at the current moment, determine the power demand at the current moment;

[0025] When the power supply is less than the power demand, a first simulation result is obtained that there is a power gap in the current power supply;

[0026] When the power supply is greater than the power demand, a second simulation result is obtained that there is no power shortage in the current power supply.

[0027] Optionally, when there is a power gap in the current power supply, power balance simulation is performed through at least one of energy storage discharge, load reduction or increased off-grid power, to obtain power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment, including:

[0028] When there is a power gap in the current power supply, energy storage discharge is taken as the first priority, load reduction is taken as the second priority, and increasing the amount of electricity disconnected from the grid is taken as the third priority. The current power supply and power demand are adjusted in the order of the first priority, the second priority and the third priority until the power supply and power demand are balanced, thereby obtaining the power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment.

[0029] Optionally, when there is no power gap in the current power supply, power balance simulation is performed through at least one of energy storage charging, load increase, or increasing the amount of online power, to obtain power supply and demand balance data of the wind power and photovoltaic combination solution at each moment, including:

[0030] When there is no power gap in the current power supply, energy storage charging is taken as the first priority, load increase is taken as the second priority, and increasing the amount of power connected to the grid is taken as the third priority. The current power supply and power demand are adjusted in the order of the first priority, the second priority and the third priority until the power supply and power demand are balanced, thereby obtaining the power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment.

[0031] Optionally, according to the power balance data, target indicator data of each wind power and photovoltaic combination scheme is obtained, including:

[0032] According to the power balance data, the wind power generation, photovoltaic power generation, energy storage loss, abandoned power and off-grid power of each wind power and photovoltaic combination scheme within the target time period are obtained;

[0033] Obtain the wind, solar and storage installed capacity scale of the target grid’s green electricity substitution optimization object;

[0034] According to the wind power generation, photovoltaic power generation, energy storage loss, abandoned power, grid-connected power and wind, photovoltaic and storage installed capacity, the cost per kilowatt-hour data, internal rate of return data and comprehensive electricity cost data of each wind power and photovoltaic combination plan are obtained.

[0035] The present invention also provides a device for determining a green electricity alternative solution for a power grid, comprising:

[0036] An acquisition module is used to acquire basic data of the target power grid green electricity substitution optimization object;

[0037] A processing module is used to generate a plurality of wind power and photovoltaic combination schemes with different wind-solar ratios according to the basic data; determine the off-grid power range according to the basic data; simulate and obtain the power balance data of each wind power and photovoltaic combination scheme within the target time period according to the off-grid power range; obtain the target indicator data of each wind power and photovoltaic combination scheme according to the power balance data; and determine the target wind power and photovoltaic combination scheme according to the target indicator data.

[0038] The present invention also provides a computing device, comprising: a processor and a memory storing a computer program, wherein when the computer program is run by the processor, the method as described above is executed.

[0039] The present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above.

[0040] The above solution of the present invention includes at least the following beneficial effects:

[0041] The above scheme of the present invention obtains the basic data of the target power grid green electricity substitution optimization object; generates a variety of wind power and photovoltaic combination schemes with different wind-solar ratios according to the basic data; determines the off-grid power range according to the basic data; simulates and obtains the power balance data of each wind power and photovoltaic combination scheme within the target time period according to the off-grid power range; obtains the target indicator data of each wind power and photovoltaic combination scheme according to the power balance data; and determines the target wind power and photovoltaic combination scheme according to the target indicator data. After green electricity substitution, it can meet the balance of power supply and demand while reducing the peak load pressure of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flow chart of a method for determining a green electricity replacement solution for a power grid according to an embodiment of the present invention;

[0043] Figure 2 is a module schematic diagram of a method for determining a green electricity replacement solution for a power grid according to an embodiment of the present invention;

[0044] Figure 3 is a second flow chart of the method for determining a green electricity replacement solution for a power grid according to an embodiment of the present invention;

[0045] Figure 4 It is a structural diagram of a device for determining a green electricity replacement solution for a power grid according to an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0047] like Figure 1 As shown, an embodiment of the present invention proposes a method for determining a green electricity alternative solution for a power grid, comprising:

[0048] Step 11, obtaining basic data of the target power grid green electricity substitution optimization object;

[0049] Here, the target grid green electricity substitution optimization object refers to the project that needs to use green electricity such as wind power and photovoltaic power to replace the traditional grid in actual use, which can be a source-grid-load-storage system, a park green electricity substitution, a self-provided power plant green electricity substitution, etc. Configure the new energy type according to the load characteristics and optimize the system to ensure grid friendliness and project economy.

[0050] The basic data include: wind and solar scale, energy storage ratio and duration, energy storage discharge efficiency, load upper and lower limits and other relevant economic parameter data. The energy storage ratio is the ratio of the rated installed power of the energy storage system to the total installed capacity of new energy, the energy storage duration is the continuous charging and discharging time of the energy storage system at rated power, and the energy storage discharge efficiency refers to the ratio of the effective amount of electricity delivered to the external system during discharge to the total amount of electricity absorbed from the external system during charging after the energy storage system completes the charge and discharge cycle. According to relevant policies and project positioning, different regions and project types have different requirements for energy storage ratios. For example, in a new energy project in a certain target area, the energy storage ratio may be required to reach 15%.

[0051] Step 12, generating a plurality of wind power and photovoltaic combination schemes with different wind-solar ratios according to the basic data;

[0052] Here, a variety of wind power and photovoltaic combinations are generated based on basic data, and then production simulation and economic analysis are performed on these wind power and photovoltaic combinations one by one. Through iterative optimization, the target wind power and photovoltaic combination scheme with the best economic and technical performance is found. The production simulation is the power balance simulation. The core of the simulation is to establish power balance, that is, to ensure the supply and demand matching between load, new energy generation, energy storage and grid power in each time period to simulate the future production operation.

[0053] Step 13, determining the off-grid power range according to the basic data;

[0054] The off-grid power range is determined by the minimum off-grid power P 下网，min and the maximum grid power P 下网，maxIt is determined that, based on the power supply and demand balance data at different times, the off-grid power can be adjusted within the off-grid power range.

[0055] Step 14, according to the off-grid power range, simulate and obtain the power balance data of each wind power and photovoltaic combination scheme within the target time period;

[0056] According to the off-grid power range, the power supply and demand balance of different wind power and photovoltaic combination schemes at each moment in the target time period can be simulated to determine the power adjustment plan needed to achieve power balance, such as energy storage discharge, load reduction or increase in off-grid power, and finally obtain the power balance data within the target time period.

[0057] Step 15, obtaining target indicator data for each wind power and photovoltaic combination scheme according to the power balance data;

[0058] Here, it means evaluating the economic feasibility of each wind power and photovoltaic combination scheme based on the power balance data of each wind power and photovoltaic combination scheme obtained by simulation within the target time period. The target indicator data include: cost per kilowatt-hour, internal rate of return and comprehensive electricity cost.

[0059] Step 16: Determine a target wind power and photovoltaic combination plan based on the target indicator data.

[0060] In this embodiment, Figure 2 As shown in the figure, the method for determining the green electricity alternative plan for the power grid mainly includes a technical part and an economic part. The technical part mainly refers to the production simulation module, which corresponds to the above steps 11 to 14; the economic part mainly refers to the economic evaluation module, which corresponds to the above steps 15 to 16. The production simulation module generates different wind power and photovoltaic combinations according to the total scale of new energy, and calculates the power balance according to the system load, wind and solar output and energy storage status, while the economic evaluation module calculates economic indicators such as levelized cost of electricity (LCOE) and internal rate of return (IRR) based on the production simulation results to evaluate the economic feasibility of each wind power and photovoltaic combination plan.

[0061] The method for determining the green electricity replacement scheme for the power grid described in the present invention adopts technical means of dynamically adjusting the wind-solar ratio, energy storage system and load flexible regulation to address the peak-shaving pressure problem of the power grid caused by the mismatch between the load and the output of new energy in traditional green electricity replacement projects, so as to ensure that the peak-shaving burden of the power grid is not increased after the green electricity replacement, thereby ensuring the friendliness of the power grid.

[0062] In an optional embodiment of the present invention, step 13 may include:

[0063] Step 131, determining the load peak-to-valley difference rate according to the maximum load value and the minimum load value in the basic data;

[0064] Step 132, determining the off-grid power range according to the load peak-to-valley difference rate.

[0065] In this embodiment, the load peak-to-valley difference rate refers to the ratio of the difference between the maximum and minimum values ​​of the power system load to the maximum load within the statistical time interval. The load peak-to-valley difference rate reflects the fluctuation of power demand. Specifically, the load peak-to-valley difference rate can be expressed as: Where D 负荷峰谷 is the load peak-to-valley difference rate, L max The maximum load value, L min It is the minimum load value in the basic data entered by the user.

[0066] In order to ensure that the green power replacement system can still meet the minimum load demand through grid power supply when the output of new energy is insufficient, the maximum off-grid power P is set. 下网，max is the minimum load value, that is, P 下网，max =L min This setting ensures that in extreme cases, even if the renewable energy generation is small or zero, the system can still meet the minimum load requirements through grid power supply.

[0067] In order to ensure that the green electricity substitution has the least pressure on the peak load regulation of the power grid system, it is necessary to ensure that the peak-to-valley difference rate of the off-grid is less than or equal to the peak-to-valley difference rate of the load. The off-grid peak-to-valley difference rate is the maximum value of the grid power output minus the minimum value of the output, divided by the maximum value of the grid power output, which is used to measure the fluctuation range of the power system. Considering the economic efficiency of off-grid electricity, the minimum off-grid electricity P 下网，min It can be expressed as: 下网，min =P 下网，max ×(1-D 负荷峰谷 ), that is, the peak-to-valley difference rate of the off-grid power is equal to the peak-to-valley difference rate of the load. The above-mentioned method for determining the off-grid power range makes the adjustment space within the off-grid power range match the load fluctuation characteristics, so that when there is too much or too little power generation, power balance can be achieved through reasonable off-grid adjustment, ensuring that no additional peak-shaving pressure is imposed on the power grid.

[0068] In an optional embodiment of the present invention, step 14 may include:

[0069] Step 141, simulating the power supply and demand balance of the wind power and photovoltaic combination scheme at each time according to the off-grid power range, and obtaining a first simulation result that there is a power gap in the current power supply or a second simulation result that there is no power gap in the current power supply;

[0070] Step 142, when there is a power gap in the current power supply, a power balance simulation is performed through at least one of energy storage discharge, load reduction or increased off-grid power, to obtain power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment;

[0071] Step 143, when there is no power gap in the current power supply, power balance simulation is performed through at least one of energy storage charging, load increase or increasing the amount of online power, to obtain power supply and demand balance data of the wind power and photovoltaic combination solution at each moment.

[0072] Wherein, step 141 may include:

[0073] Step 1411, determining the power supply at the current moment according to the wind power generation, the photovoltaic power generation and the minimum off-grid power in the off-grid power range;

[0074] Step 1412, determining the power demand at the current moment according to the load at the current moment;

[0075] Step 1413, when the power supply is less than the power demand, a first simulation result indicating that there is a power gap in the current power supply is obtained;

[0076] Step 1414, when the power supply is greater than the power demand, a second simulation result is obtained that there is no power shortage in the current power supply.

[0077] In this embodiment, Figure 3 As shown, firstly, according to the wind power generation, photovoltaic power generation, minimum off-grid power and load status, the power supply and demand balance of the wind power and photovoltaic combination scheme at each moment in the target time period is simulated to determine whether there is a power gap at each moment, and then make corresponding adjustments at each moment according to whether there is a power gap at each moment. Specifically, first calculate the net power supply at the current moment by the following formula:

[0078] P 供 (t) = P 风 (t)+P 光 (t)+P 下网,min -L(t)

[0079] Where P 供 (t) is the net power supply at the current moment, P 风 (t) is the wind power generation at the current moment, P 光 (t) is the photovoltaic power generation at the current moment, and L(t) is the current load.

[0080] When P 供 When (t) is less than 0, it means that wind power and photovoltaic power output are insufficient, and there is a power gap at the current moment. It is necessary to balance the power supply and demand through energy storage discharge, load reduction or increase of grid-connected power. 供 When (t) is greater than 0, it means that the output of wind power and photovoltaic power is greater than the load demand, and it is necessary to consider consuming the remaining power by means of energy storage charging, load increase or increasing the amount of power connected to the grid.

[0081] When the balance of electricity supply and demand at each moment in the target time period is simulated, corresponding adjustments can be made at each moment to balance the supply and demand of electricity. By counting the data on wind power generation, photovoltaic power generation, energy storage loss, abandoned power, and grid-connected power generated after corresponding adjustments at each moment in the target time period, the power balance data of each wind power and photovoltaic combination scheme in the target time period can be obtained. The economic feasibility of each scheme is evaluated based on the power balance data. In the present invention, preferably, the target time period is one year, and each moment in the target time period is 1 hour.

[0082] In an optional embodiment of the present invention, step 142 may include:

[0083] Step 1421, when there is a power gap in the current power supply, energy storage discharge is taken as the first priority, load reduction is taken as the second priority, and increasing the amount of electricity offline is taken as the third priority. The current power supply and power demand are adjusted in the order of the first priority, the second priority, and the third priority until the power supply and power demand are balanced, thereby obtaining the power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment.

[0084] In this embodiment, when there is a power gap in the current power supply, priority is given to energy storage discharge to make up for the power gap. The energy storage discharge is a key strategy used by the system to make up for the power gap when the power generation of new energy is insufficient. In the present invention, the energy storage discharge will refer to the load and power generation conditions at the next few moments to ensure the rational use of energy storage and minimize the impact on the power grid. Specifically, considering the load and wind power and photovoltaic output conditions at the next three moments, it is determined according to the future supply and demand conditions how to discharge the energy storage at the current moment, whether to leave most of the current energy storage for the future moment or to discharge it as much as possible at the present moment.

[0085] First, the power shortage demand and energy storage charging opportunities at the next three moments are calculated, where the future power shortage demand can be expressed as:

[0086]

[0087] Traverse the next three moments (τ=1,2,3), calculate the possible power shortage demand at each moment, and accumulate all the power shortages in the next three moments.

[0088] Future energy storage charging opportunities can be expressed as:

[0089]

[0090] That is, the next three moments are traversed in the same way, possible charging opportunities are calculated at each moment, and the future charging amounts are accumulated.

[0091] The discharge ratio is calculated based on the ratio of the current power shortage demand to the future discharge demand. When the discharge ratio is less than 1, that is, when the future discharge demand is greater, the current energy storage is discharged at a certain ratio to leave more energy storage for future use. When the discharge ratio is greater than 1, that is, when the current power shortage demand is greater, the charging opportunity will be used to discharge as much as possible at present. Specifically, the discharge ratio can be expressed as:

[0092] According to the discharge ratio, the specific discharge amount of the current energy storage can be expressed as:

[0093] P 放 (t) = min(R 放电比例 ×E(t)×η 放 , E(t)×η 放 +P 未来充电 ×η 放 )

[0094] Where P 放 (t) is the discharge amount of energy storage at the current moment, E(t) is the remaining amount of energy storage at the current moment, η 放 is the energy storage system discharge efficiency, P 未来充电 Equal to S 未来充电 .

[0095] The current energy storage discharge strategy determined by the above formula not only considers the current discharge demand, but also takes into account the impact of future charging opportunities on the current discharge. If there is a large charging opportunity in the future, the system can increase the current discharge. Ensure that the energy storage power will not be completely discharged to meet all the needs at the current moment, especially when there is a high risk of power shortage in the future, the discharge will be moderately reduced. By considering future charging opportunities, the system optimizes the current discharge so that the energy storage system still has the ability to respond at critical moments.

[0096] After discharging the energy storage according to certain rules based on the above formula, the system updates the remaining power of the energy storage, specifically:

[0097]

[0098] It should be noted that in some special cases, when the energy storage capacity is lower than a certain threshold (such as 10MWh), the system directly discharges the energy storage to give priority to meeting the power shortage demand at the current moment. This strategy ensures that in an emergency, the system can maximize the use of energy storage to avoid load reduction, while avoiding the ineffectiveness of multiple discharges when the energy storage capacity is insufficient.

[0099] When the energy storage is discharged according to the above strategy, the discharge amount is still less than the load, that is, when there is still a power gap, the load adjustment is performed. The load adjustment in the present invention needs to follow the ramp rate limit, that is:

[0100] Load reduction: L”(t)=max(L(t)-R down ,L min ), where L" (t) is the adjusted load, R down To reduce the climbing rate.

[0101] If there is still a power gap after the load is reduced, the off-grid power will be increased. 下网，max Ensure that the system meets the load by going offline to avoid power shortages.

[0102] In an optional embodiment of the present invention, step 143 may include:

[0103] Step 1431, when there is no power gap in the current power supply, energy storage charging is taken as the first priority, load increase is taken as the second priority, and increasing the amount of power connected to the grid is taken as the third priority. The current power supply and power demand are adjusted in the order of the first priority, the second priority, and the third priority until the power supply and power demand are balanced, thereby obtaining the power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment.

[0104] In this embodiment, when P 供 When (t) is greater than 0, it means that the wind power and photovoltaic power output exceed the load demand, and the excess power is used to charge energy storage. 充 (t) = min(P 供 (t),E max -E(t),r 充 ×(P 风 +P 光 )), where E max is the maximum energy storage capacity, r 充 is the energy storage ratio, P 风 is the wind power generation, P 光 is the photovoltaic power generation. When the energy storage is charged, the energy storage status is updated: E(t+1)=E(t)+P 充 (t).

[0105] When there is still excess power after the energy storage is charged, the load will be increased. The load increase still follows the increase ramp rate. Specifically, L'(t) = min(L(t) + R up ,L max ), where L'(t) is the adjusted load, R up To increase the climbing rate.

[0106] If there is still excess power after the load is increased, the system will connect the excess power to the grid and set the grid power to no more than P 上网,max If the online power has reached the upper limit and there is still surplus power, the power will be abandoned.

[0107] When the simulation completes the power balance at each moment in the target time period, the power abandonment rate and green power replacement rate in the target time period are calculated. Specifically, the power abandonment rate is used to measure the proportion of unused renewable energy power generation, expressed as The green electricity substitution rate is used to reflect the proportion of the actual green electricity substitution load in the system, expressed as Where P 网 (t) is the grid power generation.

[0108] In an optional embodiment of the present invention, step 15 may include:

[0109] Step 151, according to the power balance data, obtaining the wind power generation, photovoltaic power generation, energy storage loss, abandoned power, and off-grid power of each wind power and photovoltaic combination scheme within the target time period;

[0110] Step 152, obtaining the wind, solar and storage installed capacity scale of the target power grid green electricity substitution optimization object;

[0111] Step 153, based on the wind power generation, photovoltaic power generation, energy storage loss, abandoned power, off-grid power and wind, solar and storage installed capacity, obtain the cost per kilowatt-hour data, internal rate of return data and comprehensive electricity cost data of each wind power and photovoltaic combination scheme.

[0112] In this embodiment, after simulating the power balance data of each wind power and photovoltaic combination scheme within the target time period, its wind power generation, photovoltaic power generation, energy storage loss, abandoned power, and off-grid power are obtained. Combined with the wind, solar, and storage installed capacity of the target grid green electricity substitution optimization object, the target indicator data for each wind power and photovoltaic combination scheme is calculated. The economic evaluation module is used to perform an economic analysis of the various data generated during the production simulation process to determine the optimal new energy configuration plan and ensure the economic feasibility of the project. Specifically, the target indicator data include levelized cost of electricity (LCOE), internal rate of return (IRR), and comprehensive electricity cost. Among them,

[0113] The LCOE target indicator data is used to represent the average cost per kilowatt-hour of electricity over the entire life cycle of the project. The calculation formula for LCOE is as follows:

[0114]

[0115] Among them, i is the discount rate, n is the number of years of system operation, N is the system evaluation period, which is 20 years, I0 is the static initial investment of the system, I t VAT deduction for the project, V R is the system residual value, M n is the operating cost in year n, Y n is the annual effective power generation.

[0116] Internal Rate of Return (IRR) is an important indicator for evaluating the return on investment of a project. It represents the average rate of return that a project can achieve during its life cycle. The calculation of IRR is based on the cash flow of the project and uses an iterative method to find the discount rate that makes the net present value (NPV) zero.

[0117] Cash flow calculation:

[0118] The annual cash flow of the project is C n =Income n -cost n , where income represents the income generated from wind power and photovoltaic power generation, income n =(P 风 -P 弃风 )×on-grid electricity price+(P 光 -P 弃光 )×On-grid electricity price.

[0119] The costs include the operation and maintenance costs of wind power, photovoltaic and energy storage systems, equipment depreciation, taxes and loan interest. n =Operation and maintenance costs n + Depreciation n + Interest n +Taxes n .

[0120] According to the cash flow sequence, calculate the net present value NPV, specifically, Where i is the discount rate, and i is adjusted through the iterative method so that i when NPV = 0 is the internal rate of return.

[0121] Composite Electricity Cost is used to measure the actual electricity cost of users when considering new energy, grid power and energy storage. It can be expressed as:

[0122]

[0123] Among them, E 可再生 is the power generation of wind power and photovoltaic energy, E 上网 and E 下网 They are the on-grid electricity volume and off-grid electricity volume respectively, and the on-grid electricity price is the set on-grid electricity price or off-grid electricity price.

[0124] Based on the calculation results of the above target indicator data, the most economical wind power and photovoltaic combination plan is obtained without increasing the peak-shaving pressure on the power grid.

[0125] The above method of the present invention realizes the integration of production simulation and economic evaluation through comprehensive optimization of wind-solar combination, energy storage system and load regulation. The core of the method is to ensure that the green electricity replacement system can self-regulate under the configuration of the best wind-solar ratio through the control of peak-to-valley difference rate and optimization of energy storage discharge strategy, so as to reduce the peak-shaving pressure on the power grid and achieve grid friendliness.

[0126] The present invention innovatively proposes a control strategy based on the load peak-valley difference rate, which dynamically adjusts the load by calculating the load peak-valley difference rate to ensure that the power supply fluctuation (peak-valley difference) of the power grid during the green power substitution process does not exceed the fluctuation of the load itself. This method ensures that the system minimizes the peak-shaving pressure on the power grid during the green power substitution process, achieving true power grid friendliness. The specific implementation formula is: The maximum and minimum values ​​of the off-grid electricity are adjusted according to the calculation results of the formula, so that the system can effectively utilize green electricity as a substitute without increasing the peak-shaving pressure of the power grid.

[0127] The present invention also provides a future multi-period dynamic scheduling method for an energy storage system. In the scheduling of the energy storage system, not only the current load and renewable energy generation conditions are combined, but also the load demand and renewable energy output forecast data for multiple future periods are comprehensively considered. This multi-period scheduling method effectively avoids the problem of increased peak-to-valley difference in the power grid caused by single-period scheduling, and further ensures the friendliness of the power grid. The specific implementation formula is P 放 (t) = min(R 放电比例 ×E(t)×η 放 , E(t)×η 放 +P 未来充电 ×η 放 ), ensuring that the discharge at the current moment can not only meet the current demand, but also retain appropriate storage capacity to balance the fluctuating demand in future periods.

[0128] The present invention also provides an integrated production simulation and economic evaluation integrated system, which integrates production simulation and economic evaluation on a unified platform, and uses various power balance indicators (such as grid power, green electricity substitution rate, cost per kilowatt-hour, etc.) in the production simulation process to directly transfer them to the economic evaluation module. This integrated method allows users to quickly generate and evaluate green electricity substitution optimization plans in the same system, thereby achieving the overall optimization of the system. This integrated method ensures that while ensuring green electricity substitution, the peak-shaving pressure of the power grid is not increased, and efficient green electricity substitution is achieved.

[0129] like Figure 4 As shown, an embodiment of the present invention further provides a device 40 for determining a green electricity alternative solution for a power grid, comprising:

[0130] An acquisition module 41 is used to acquire basic data of a target power grid green electricity substitution optimization object;

[0131] The processing module 42 is used to generate a plurality of wind power and photovoltaic combination schemes with different wind-solar ratios according to the basic data; determine the off-grid power range according to the basic data; simulate and obtain the power balance data of each wind power and photovoltaic combination scheme within the target time period according to the off-grid power range; obtain the target indicator data of each wind power and photovoltaic combination scheme according to the power balance data; and determine the target wind power and photovoltaic combination scheme according to the target indicator data.

[0132] Optionally, determining the off-grid power range according to the basic data includes:

[0133] Determine the load peak-to-valley difference rate according to the maximum load value and the minimum load value in the basic data;

[0134] The off-grid power range is determined according to the load peak-to-valley difference rate.

[0135] Optionally, according to the off-grid power range, power balance data of each wind power and photovoltaic combination scheme within a target time period is simulated, including:

[0136] According to the off-grid power range, simulating the power supply and demand balance of the wind power and photovoltaic combination scheme at each time, obtaining a first simulation result that there is a power gap in the current power supply or a second simulation result that there is no power gap in the current power supply;

[0137] When there is a power gap in the current power supply, power balance simulation is performed through at least one of energy storage discharge, load reduction or increased off-grid power to obtain power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment;

[0138] When there is no power gap in the current power supply, power balance simulation is performed through at least one of energy storage charging, load increase or increasing the amount of online power, to obtain power supply and demand balance data of the wind power and photovoltaic combination solution at each moment.

[0139] Optionally, according to the off-grid power range, the power supply and demand balance of the wind power and photovoltaic combination scheme at each time is simulated to obtain a first simulation result that there is a power gap in the current power supply or a second simulation result that there is no power gap in the current power supply, including:

[0140] Determine the power supply at the current moment according to the wind power generation, the photovoltaic power generation and the minimum off-grid power in the off-grid power range;

[0141] According to the load at the current moment, determine the power demand at the current moment;

[0142] When the power supply is less than the power demand, a first simulation result is obtained that there is a power gap in the current power supply;

[0143] When the power supply is greater than the power demand, a second simulation result is obtained that there is no power shortage in the current power supply.

[0144] Optionally, when there is a power gap in the current power supply, power balance simulation is performed through at least one of energy storage discharge, load reduction or increased off-grid power, to obtain power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment, including:

[0145] When there is a power gap in the current power supply, energy storage discharge is taken as the first priority, load reduction is taken as the second priority, and increasing the amount of electricity disconnected from the grid is taken as the third priority. The current power supply and power demand are adjusted in the order of the first priority, the second priority and the third priority until the power supply and power demand are balanced, thereby obtaining the power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment.

[0146] Optionally, when there is no power gap in the current power supply, power balance simulation is performed through at least one of energy storage charging, load increase, or increasing the amount of online power, to obtain power supply and demand balance data of the wind power and photovoltaic combination solution at each moment, including:

[0147] When there is no power gap in the current power supply, energy storage charging is taken as the first priority, load increase is taken as the second priority, and increasing the amount of power connected to the grid is taken as the third priority. The current power supply and power demand are adjusted in the order of the first priority, the second priority and the third priority until the power supply and power demand are balanced, thereby obtaining the power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment.

[0148] Optionally, according to the power balance data, target indicator data of each wind power and photovoltaic combination scheme is obtained, including:

[0149] According to the power balance data, the wind power generation, photovoltaic power generation, energy storage loss, abandoned power and off-grid power of each wind power and photovoltaic combination scheme within the target time period are obtained;

[0150] Obtain the wind, solar and storage installed capacity scale of the target grid’s green electricity substitution optimization object;

[0151] According to the wind power generation, photovoltaic power generation, energy storage loss, abandoned power, grid-connected power and wind, photovoltaic and storage installed capacity, the cost per kilowatt-hour data, internal rate of return data and comprehensive electricity cost data of each wind power and photovoltaic combination plan are obtained.

[0152] It should be noted that the device is a device corresponding to the above method, and all implementation methods in the above method embodiments are applicable to the embodiments of the device and can achieve the same technical effects.

[0153] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0154] The embodiment of the present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0155] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0156] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0157] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0158] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0159] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0160] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0161] In addition, it should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0162] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0163] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining a green electricity alternative for a power grid, characterized in that: include: Obtain basic data of green electricity substitution optimization objects of the target power grid; Generate a variety of wind power and photovoltaic combination schemes with different wind-solar ratios based on the basic data; Determine the off-grid power range based on the basic data; According to the off-grid power range, simulate and obtain the power balance data of each wind power and photovoltaic combination scheme within the target time period; According to the power balance data, target indicator data of each wind power and photovoltaic combination scheme is obtained; According to the target indicator data, a target wind power and photovoltaic combination plan is determined.

2. The method for determining a green electricity alternative solution for a power grid according to claim 1, characterized in that: The off-grid power range is determined based on the basic data, including: Determine the load peak-to-valley difference rate according to the maximum load value and the minimum load value in the basic data; The off-grid power range is determined according to the load peak-to-valley difference rate.

3. The method for determining a green electricity alternative solution for a power grid according to claim 1, characterized in that: According to the off-grid power range, the power balance data of each wind power and photovoltaic combination scheme within the target time period is simulated, including: According to the off-grid power range, simulating the power supply and demand balance of the wind power and photovoltaic combination scheme at each time, obtaining a first simulation result that there is a power gap in the current power supply or a second simulation result that there is no power gap in the current power supply; When there is a power gap in the current power supply, power balance simulation is performed through at least one of energy storage discharge, load reduction or increased off-grid power to obtain power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment; When there is no power gap in the current power supply, power balance simulation is performed through at least one of energy storage charging, load increase or increasing the amount of online power, to obtain power supply and demand balance data of the wind power and photovoltaic combination solution at each moment.

4. The method for determining a green electricity alternative solution for a power grid according to claim 3, characterized in that: According to the off-grid power range, the power supply and demand balance of the wind power and photovoltaic combination scheme at each time is simulated to obtain a first simulation result that there is a power gap in the current power supply or a second simulation result that there is no power gap in the current power supply, including: Determine the power supply at the current moment according to the wind power generation, the photovoltaic power generation and the minimum off-grid power in the off-grid power range; According to the load at the current moment, determine the power demand at the current moment; When the power supply is less than the power demand, a first simulation result is obtained that there is a power gap in the current power supply; When the power supply is greater than the power demand, a second simulation result is obtained that there is no power shortage in the current power supply.

5. The method for determining a green electricity alternative solution for a power grid according to claim 3, characterized in that: When there is a power gap in the current power supply, power balance simulation is performed through at least one of energy storage discharge, load reduction or increased off-grid power, to obtain power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment, including: When there is a power gap in the current power supply, energy storage discharge is taken as the first priority, load reduction is taken as the second priority, and increasing the amount of electricity disconnected from the grid is taken as the third priority. The current power supply and power demand are adjusted in the order of the first priority, the second priority and the third priority until the power supply and power demand are balanced, thereby obtaining the power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment.

6. The method for determining a green electricity alternative solution for a power grid according to claim 3, characterized in that: When there is no power gap in the current power supply, power balance simulation is performed through at least one of energy storage charging, load increase or increased online power, to obtain power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment, including: When there is no power gap in the current power supply, energy storage charging is taken as the first priority, load increase is taken as the second priority, and increasing the amount of power connected to the grid is taken as the third priority. The current power supply and power demand are adjusted in the order of the first priority, the second priority and the third priority until the power supply and power demand are balanced, thereby obtaining the power supply and demand balance data of the wind power and photovoltaic combination scheme at each moment.

7. The method for determining a green electricity alternative plan for a power grid according to claim 1, characterized in that: According to the power balance data, the target indicator data of each wind power and photovoltaic combination scheme is obtained, including: According to the power balance data, the wind power generation, photovoltaic power generation, energy storage loss, abandoned power and off-grid power of each wind power and photovoltaic combination scheme within the target time period are obtained; Obtain the wind, solar and storage installed capacity scale of the target grid’s green electricity substitution optimization object; According to the wind power generation, photovoltaic power generation, energy storage loss, abandoned power, grid-connected power and wind, photovoltaic and storage installed capacity, the cost per kilowatt-hour data, internal rate of return data and comprehensive electricity cost data of each wind power and photovoltaic combination plan are obtained.

8. A device for determining a green electricity alternative plan for a power grid, characterized in that: include: An acquisition module is used to acquire basic data of the target power grid green electricity substitution optimization object; A processing module is used to generate a plurality of wind power and photovoltaic combination schemes with different wind-solar ratios according to the basic data; determine the off-grid power range according to the basic data; simulate and obtain the power balance data of each wind power and photovoltaic combination scheme within the target time period according to the off-grid power range; obtain the target indicator data of each wind power and photovoltaic combination scheme according to the power balance data; and determine the target wind power and photovoltaic combination scheme according to the target indicator data.

9. A computing device, characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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