A clean energy base scheduling method and system based on water-light sinking and floating complementary method

Abstract

The present invention discloses a method and system for scheduling a clean energy base based on the water-light sinking and floating complementary method, including: obtaining basic data of the short-term complementary process of the clean energy base; obtaining the process before the short-term complementary process of the clean energy base; adjusting the average daily output of hydropower to sink to the minimum output boundary of hydropower, and obtaining the complementary process after the clean energy base hydropower sinks; according to the short-term output process of the clean energy base hydropower sinking, calculating the capacity information of the clean energy base in the short-term operation process; adjusting the average daily output of hydropower to float, calculating the short-term output of the clean energy base hydropower after floating, and obtaining the post-short-term complementary process of the clean energy base; performing long-term optimization scheduling of the clean energy base and obtaining the long-term scheduling boundary of the clean energy base, performing short-term scheduling of the clean energy base, and obtaining the long-term complementary output process of the clean energy base. The present invention takes into account both the requirements of system power consumption optimization and power transmission demand, and can provide a reference for the planning and design of water-light complementary scheduling projects.

Description

Technical Field

[0001] The present invention relates to a water-photovoltaic complementary power generation technology, and in particular to a clean energy base scheduling method and system based on a water-photovoltaic sinking and floating complementary method. Background Art

[0002] At present, photovoltaic power, as an important component of clean energy, will have an adverse impact on the safe and stable operation of the power system if it is integrated into the power grid on a large scale, and a large amount of photovoltaic power will be abandoned during the peak period of photovoltaic power generation. For example, some regions are rich in hydropower and photovoltaic resources, but the development cost is high and the market competitiveness is poor, and the photovoltaic power abandonment rate exceeds 25%. In this case, by establishing a large-scale hydro-photovoltaic complementary clean energy base, hydropower and photovoltaic power share the grid channel, and use the capacity and regulation capacity of hydropower units to smooth the fluctuation of base power transmission, and at the same time optimize the grid's ability to absorb hydropower and photovoltaic power, which is of great significance for the development of clean energy and high-quality economic construction. Most of the existing hydro-photovoltaic complementary methods are: only considering the power consumption or constructing a multi-objective model for optimization calculation. The former is difficult to determine the short-term power transmission method of the base, and the latter is complex to calculate, especially for large reservoirs with annual regulation capacity, lack of guidance for long-term scheduling, and in the long-term complementary scheduling of hydro-photovoltaic complementary, it is necessary to consider the power abandonment of the base caused by the short-term volatility of photovoltaic power generation. Summary of the invention

[0003] Purpose of the invention: One purpose of the present invention is to provide a clean energy base scheduling method based on the water-solar sinking and floating complementary method, so as to improve the level of grid-connected consumption of water and solar power in the long-term operation of the clean energy base, and at the same time, from the perspective of stabilizing the power system load, to formulate the short-term power transmission process of the base.

[0004] Another object of the present invention is to provide a clean energy base scheduling system based on the water-light sinking and floating complementary method.

[0005] Technical solution: A clean energy base dispatching method based on the water-light sinking and floating complementary method, comprising the following steps:

[0006] S1. The clean energy base includes cascade hydropower stations and photovoltaic power stations. The short-term operation process of the clean energy base is based on the day as the operation cycle and the hour as the operation step. According to the historical data of the hydropower output of the clean energy base, one day is randomly selected: the photovoltaic output process, the average daily output of hydropower, the maximum output of hydropower, the minimum output of hydropower and the maximum load of the power grid channel are obtained as the basic data of the short-term complementary process of the clean energy base;

[0007] S2. Calculate the initial short-term output P of the clean energy base t sh1 , obtain the short-term complementary pre-process of clean energy base;

[0008] Initial short-term output of clean energy base Pt sh1 The calculation formula is:

[0009] P t sh1 =P h +P t s

[0010] Among them, P h is the average daily output of hydropower; P t s The photovoltaic power output in the t period; t = 1…T, T is the number of short-term operation periods;

[0011] S3. Adjust the average daily output of hydropower to the minimum output boundary of hydropower, and calculate the short-term output P of the clean energy base after the hydropower sinks. t sh2 , obtain the complementary process of clean energy base hydropower sinking;

[0012] Short-term output of clean energy base hydropower after sinking t sh2 The calculation formula is:

[0013] P t sh2 =P min +P t s

[0014] Among them, P min It is the minimum output of hydropower;

[0015] S4. Calculate the capacity information of the clean energy base in the short-term operation process according to the short-term output process of the clean energy base hydropower after sinking;

[0016] S5. According to the capacity information of the clean energy base in the short-term operation process, adjust the average daily output of hydropower to increase, and calculate the short-term output P of the clean energy base after the hydropower increases. t sh3 , obtain the short-term complementary process of clean energy base;

[0017] S6. The long-term operation process of the clean energy base takes one year as the operation cycle and one day as the operation step. According to the historical data of the water and light output of the clean energy base, the photovoltaic output process and runoff process of a typical year are collected as the basic data of the long-term operation process of the clean energy base. In this way, the long-term optimization scheduling of the clean energy base is carried out and the long-term scheduling boundary of the clean energy base is obtained. Further short-term scheduling of the clean energy base is carried out to obtain the long-term complementary output process of the clean energy base.

[0018] Furthermore, step S4 is specifically as follows:

[0019] According to the minimum and maximum hydropower outputs, the power grid channel is divided into base load layer, mid-load layer and peak load layer, and the capacity information of the base during short-term operation is extracted, including: hydropower generation, photovoltaic grid-connected power, hydropower that can be accommodated in the base load layer, the amount of power reduced when the average daily hydropower output sinks to the minimum hydropower output, the amount of hydropower that can be accommodated in the mid-load layer, the amount of hydropower that can be accommodated in the peak load layer, the amount of hydropower that can be accommodated in the power grid channel, the total amount of power that the power grid channel cannot accommodate, and the total amount of power that the power grid channel can accommodate.

[0020] Furthermore, the capacity information calculation method during the short-term operation of the base is:

[0021] (1) Hydropower generation W h , the calculation formula is:

[0022] W h =P h ·TΔt

[0023] Where T is the total number of short-term operation periods, and Δt is the short-term operation step length;

[0024] (2) Photovoltaic grid-connected power W s , the calculation formula is:

[0025]

[0026]

[0027] Among them, P t sd is the maximum photovoltaic power consumption space in the tth period, indicating the maximum photovoltaic power consumption output in the tth period under the constraints of the minimum hydropower output and the maximum load of the power grid channel; P g is the maximum load of the power grid channel; t=1…T;

[0028] (3) The amount of hydropower that the base load layer can accommodate is: The maximum hydropower compensation amount L of the base load layer, calculated as:

[0029] L=P min ·TΔt

[0030] (4) The amount of electricity reduced when the average daily output of hydropower is reduced to the minimum output of hydropower is: hydropower reduction electricity M, calculated as:

[0031] M=W h -L

[0032] (5) The amount of water and electricity that the waist-load layer can accommodate is: The maximum water and electricity compensation amount of the waist-load layer H, calculated as:

[0033]

[0034] Among them, P maxIt is the maximum output of hydropower;

[0035] (6) The amount of hydropower that can be accommodated by the peak load layer is: The maximum hydropower compensation amount G of the peak load layer is calculated as:

[0036]

[0037] (7) The amount of hydropower that the grid channel can accommodate is: the maximum hydropower compensation amount F of the grid channel, calculated as:

[0038] F=L+H+G

[0039] (8) The total amount of electricity that the grid channel cannot accommodate is: the amount of power abandoned by the base W q , the calculation formula is:

[0040] W q =max(W h -F, 0)

[0041] (9) The total amount of electricity that the grid channel can accommodate is: base grid-connected electricity W sh , the calculation formula is:

[0042] W sh =W h +W s -W q .

[0043] Further, step S5 includes the following steps:

[0044] S51, obtaining the floating surface and the floating output of hydropower during the floating process of the average daily output of hydropower, and obtaining the floating process of the average daily output of hydropower according to the capacity information of the clean energy base during the short-term operation process; specifically:

[0045] Limited by the minimum hydropower output, the maximum photovoltaic power consumption space, the maximum hydropower output, and the maximum load boundary of the power grid channel, the floating surface presented in the process of the average daily hydropower output is expressed as: the floating boundary P o ;

[0046] The average daily hydropower output is subject to multiple boundary restrictions during the floating process, which changes the hydropower output process, expressed as: Hydropower floating output P t hd ;

[0047] S52. Calculate the short-term output P of the base hydropower after floating t sh3 , the calculation formula is:

[0048]

[0049] Among them, P gis the maximum load of the power grid channel, t=1…T, T is the total number of short-term operation periods.

[0050] Furthermore, in step S51, according to the capacity information of the base during short-term operation, the process of increasing the average daily output of hydropower is specifically divided into the following three situations:

[0051] Case ①: When M≤H, it indicates the upper limit of the average daily output of hydropower P o Floating up to the waist-load layer, the hydropower sinking electricity is compensated by the hydropower space that the waist-load layer can accommodate, including:

[0052] exist Make

[0053] The floating boundary P is obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is:

[0054] P t hd =max(P o -P t sh2 ,0)+P min

[0055] Case ②: When H<M≤H+G, it indicates the upper limit of the average daily output of hydropower P o Floating up to the peak load layer, the hydropower sinking electricity is compensated by the hydropower space that can be accommodated by the mid-load layer + the hydropower space that can be accommodated by the peak load layer, specifically including:

[0056] exist Make

[0057] The floating boundary P is obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is:

[0058] P t hd =min{max(P o -max(P max , P t sh2 ),0),P t s}+max(P max -P t sh2 ,0)+P min

[0059] Case ③: When H+G<M, it means that the hydropower space that the grid channel can accommodate cannot fully compensate for the hydropower sinking power, and the upper limit of the hydropower daily average output P o Floating up to the maximum load boundary of the power grid channel, including:

[0060] P o =P g

[0061] The floating boundary P is obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is:

[0062] P t hd =min{max(P o -max(P max , P t sh2 ),0),P t s}+max(P max -P t sh2 ,0)+P min .

[0063] Further, step S6 includes the following steps:

[0064] S61. Construct the long-term optimization scheduling objective function of the clean energy base, as follows:

[0065]

[0066] Among them, W is the amount of electricity connected to the grid by the clean energy base during the year; The amount of electricity connected to the grid by the clean energy base in month m;

[0067] S62. Construct a long-term optimal dispatch constraint function for the clean energy base, and use a dynamic programming optimization algorithm to solve it, so as to obtain the long-term operation process of the clean energy base, including the optimal average monthly hydropower output of each month, and further calculate the hydropower floating output of each month according to the output information of the clean energy base in the short-term complementary process, so as to obtain the long-term output process of the clean energy base; specifically:

[0068] According to the short-term output process of photovoltaic power in the mth month, the optimal average monthly output of hydropower in the mth month, the maximum output of hydropower, the minimum output of hydropower, and the maximum load of the power grid channel, the short-term complementarity of the clean energy base is carried out to obtain the output information of the clean energy base during the short-term operation of hydro-photovoltaic complementarity, and the post-short-term complementarity process of the clean energy base in that month is obtained. The same can be done for the remaining months.

[0069] Furthermore, in step S61 The calculation is based on the capacity information of the base's water-photovoltaic complementary short-term operation process, including:

[0070] (1) According to the typical annual photovoltaic output process, the average output of each day in the same period of the photovoltaic month is used to reduce the dimension of the photovoltaic output process information within the month to the short-term output process within the month. The calculation formula is:

[0071]

[0072] in, is the short-term photovoltaic output process within a month, indicating the photovoltaic output in the tth period of the mth month. The photovoltaic output data for the tth period of the dth day of the mth month, t = 1…T, d = 1…D m , m = 1...12, T is the number of short-term operation periods, D m is the number of days in the mth month;

[0073] (2) Taking the water level process of cascade hydropower in the clean energy base during long-term operation as the decision variable, the average monthly output of hydropower is calculated through the runoff process;

[0074] (3) Based on the constraints of cascade hydropower in the long-term operation process, the maximum hydropower output, minimum hydropower output, and maximum load of the power grid channel are obtained;

[0075] According to the short-term output process of photovoltaic power in the mth month, the average monthly output of hydropower, the maximum output of hydropower, the minimum output of hydropower, and the maximum load of the power grid channel, the short-term complementarity of clean energy bases is carried out to obtain the capacity information of the short-term operation process of water-photovoltaic complementarity of clean energy bases, including: the grid-connected power of clean energy bases in this period Abandoned power generation at the base The same applies to the remaining months.

[0076] A clean energy base dispatching system based on the water-light sinking and floating complementary method of the present invention comprises:

[0077] Data collection module, used to collect basic data on the short-term complementary process of clean energy bases;

[0078] Clean energy base short-term scheduling module, used to calculate the initial short-term output P of the clean energy base t sh1 , obtain the short-term complementary process of the clean energy base; adjust the average daily output of hydropower to the minimum output boundary of hydropower, and calculate the short-term output P of the clean energy base after the hydropower sinks t sh2, obtain the complementary process of clean energy base hydropower after sinking; according to the short-term output process of clean energy base hydropower after sinking, calculate the capacity information of clean energy base in short-term operation process; according to the capacity and output information of clean energy base in short-term operation process, adjust the average daily output of hydropower to float up, and calculate the short-term output P of clean energy base hydropower after floating up t sh3 , obtain the short-term complementary process of clean energy base;

[0079] The long-term scheduling module of the clean energy base collects the basic data of the long-term operation process of the clean energy base, so as to carry out the long-term optimization scheduling of the clean energy base and obtain the long-term scheduling boundary of the clean energy base, and further carry out the short-term scheduling of the clean energy base to obtain the long-term complementary output process of the clean energy base.

[0080] A device of the present invention includes a memory and a processor, wherein:

[0081] A memory for storing computer programs that can be run on the processor;

[0082] The processor is used to execute the steps of the above-mentioned clean energy base scheduling method based on the water-light sinking and floating complementarity method when running the computer program.

[0083] A storage medium of the present invention stores a computer program, which, when executed by at least one processor, implements the steps of the above-mentioned clean energy base scheduling method based on the water-light sinking and floating complementarity method.

[0084] Beneficial effect: Compared with the prior art, the present invention constructs a water-photovoltaic complementary strategy "water-photovoltaic sinking and floating complementary method" through grid channel layering, which is convenient for extracting capacity and output information in the base's short-term complementary process, and transmitting the capacity information upward to guide the base's long-term complementary process. This process can consider the impact of photovoltaic output characteristics on the long-term hydropower generation plan, and at the same time quantify the base's abandoned power during long-term operation, effectively avoiding the adverse effects of abandoned light or water on the base's operation; the output information is transmitted downward to guide the base's short-term complementary process, on the one hand fully absorbing the hydropower and photovoltaic power, and on the other hand optimizing the base's power transmission stability, thereby taking into account both system power consumption optimization and power transmission demand requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 is a flow chart of the method of the present invention;

[0086] Figure 2 It is the process of short-term complementary power transmission before the clean energy base;

[0087] Figure 3 It is a complementary process after the clean energy base hydropower sinks;

[0088] Figure 4 It is the process of short-term complementary power transmission of clean energy bases;

[0089] Figure 5 It is the long-term complementary power transmission process of clean energy bases. DETAILED DESCRIPTION

[0090] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0091] like Figure 1 As shown, a clean energy base scheduling method based on the water-light sinking and floating complementary method of the present invention comprises the following steps:

[0092] S1. Obtain basic data on the short-term complementary process of clean energy bases;

[0093] The clean energy base is composed of cascade hydropower stations and photovoltaic power stations, and adopts a hydropower + photovoltaic complementary power generation mode. The short-term operation process of the clean energy base takes days as the operation cycle and hours as the operation step. According to the historical data of the clean energy base's hydropower output, one day is randomly selected: the clean energy base's short-term photovoltaic output process, average daily hydropower output, maximum hydropower output, minimum hydropower output and maximum load of the power grid channel are obtained as the basic data of the clean energy base's short-term complementary process. The above information can be found in the sample data in columns 1 to 5 of Table 1.

[0094] S2. Calculate the initial short-term output P of the clean energy base t sh1 , obtain the short-term complementary pre-process of clean energy base;

[0095] Initial short-term output of clean energy base P t sh1 The calculation formula is:

[0096] P t sh1 =P h +P t s

[0097] Where P h is the average daily output of hydropower; P t s is the photovoltaic power output in the t period; t = 1…T, T is the number of short-term operation periods; the initial short-term output process of the clean energy base is shown in the sixth column of Table 1. The power transmission process of the clean energy base before short-term complementarity is as follows Figure 2 shown.

[0098] S3. Adjust the average daily output of hydropower to the minimum output boundary of hydropower, and calculate the short-term output P of the clean energy base after the hydropower sinks.t sh2 , obtain the complementary process of clean energy base hydropower sinking;

[0099] Short-term output of clean energy base hydropower after sinking t sh2 The calculation formula is:

[0100] P t sh2 =P min +P t s

[0101] Where P min is the minimum output of hydropower, see the sample data in the 4th column of Table 1; the short-term output process of clean energy base hydropower after sinking is shown in the sample data in the 7th column of Table 1; the complementary process of clean energy base hydropower after sinking is shown in Figure 3 shown.

[0102] S4. Calculate the capacity information of the clean energy base in the short-term operation process according to the short-term output process of the clean energy base hydropower after sinking;

[0103] According to the minimum and maximum hydropower output, the power grid channel is divided into base load layer, mid-load layer and peak load layer, and the capacity information of the clean energy base in the short-term operation process is extracted; the details are as follows:

[0104] (1) Hydropower generation W h , the calculation formula is:

[0105] W h =P h ·TΔt

[0106] Where T is the total number of short-term operation periods, and Δt is the short-term operation step length. The hydropower generation is shown in the example data in the 11th column of Table 1, which is 156 million kW·h.

[0107] (2) Photovoltaic grid-connected power W s , the calculation formula is:

[0108]

[0109]

[0110] Where P t sd is the maximum photovoltaic power consumption space in the tth period, indicating the maximum photovoltaic power consumption output in the tth period under the constraints of the minimum hydropower output and the maximum load of the power grid channel, see the sample data in the 12th column of Table 1; P gis the maximum load of the power grid channel, see the example data in the fifth column of Table 1; here, the principle of hydropower consumption and photovoltaic compensation, and the power grid channel compensating hydropower is adopted, which means that hydropower is first used to free up the power grid channel space to consume photovoltaic power, forming photovoltaic grid-connected power W s , see the sample data in the 13th column of Table 1, which is 47.94 million kW·h. There is no abandoned light, which means that the maximum photovoltaic consumption space can fully accommodate the photovoltaic output, and then the hydropower is compensated through the remaining space of the grid channel, thereby maximizing the utilization efficiency of the grid channel. In order to better realize this process, a grid channel stratification mechanism is introduced, as follows:

[0111] (3) The amount of hydropower that the base load layer can accommodate is: The maximum hydropower compensation amount L of the base load layer, calculated as:

[0112] L=P min ·TΔt

[0113] Wherein, the maximum hydropower compensation amount L of the base load layer is 36 million kW·h, as shown in the example data in the 16th column of Table 1.

[0114] (4) The amount of electricity reduced when the average daily output of hydropower is reduced to the minimum output of hydropower is: hydropower reduction electricity M, calculated as:

[0115] M=W h -L

[0116] In the formula, the daily average hydropower output is sunk. On the one hand, it can free up space in the grid channel to absorb the electricity that exceeds the grid channel during the photovoltaic peak period. On the other hand, by reasonably allocating and adjusting the hydropower sinking power in the remaining space of the grid channel, it can smooth the volatility of photovoltaic output and reduce the pressure of large-scale photovoltaic grid connection on the power system. The hydropower sinking power M, see the example data in the 14th column of Table 1, is 120 million kW·h.

[0117] (5) The amount of water and electricity that the waist-load layer can accommodate is: The maximum water and electricity compensation amount of the waist-load layer H, calculated as:

[0118]

[0119] Where, the maximum hydropower compensation amount H of the mid-load layer is 113.73 million kW·h, as shown in the example data in the 18th column of Table 1, P max is the maximum hydropower output, see the example data in the third column of Table 1.

[0120] (6) The amount of hydropower that can be accommodated by the peak load layer is: The maximum hydropower compensation amount G of the peak load layer is calculated as:

[0121]

[0122] Wherein, the maximum hydropower compensation amount G in the peak load layer is 17.57 million kW·h, as shown in the example data in the 20th column of Table 1.

[0123] (7) The amount of hydropower that the grid channel can accommodate is: the maximum hydropower compensation amount F of the grid channel, calculated as:

[0124] F=L+H+G

[0125] Where, the maximum hydropower compensation amount F of the power grid channel is 167.3 million kW·h, as shown in the example data in the 20th column of Table 1.

[0126] (8) The total amount of electricity that the grid channel cannot accommodate is: the amount of electricity abandoned by the clean energy base W q , the calculation formula is:

[0127] W q =max(W h -F, 0)

[0128] Where, the amount of power wasted from the clean energy base is W q , see the example data in the 22nd column of Table 1, which is 00,000 kW·h, indicating that the short-term complementarity of clean energy bases can effectively reduce the generation of abandoned electricity, avoid the phenomenon of abandoned light or water, and ensure the stable operation capacity of clean energy bases.

[0129] (9) The total amount of electricity that the grid channel can accommodate is: the amount of clean energy base connected to the grid W sh , the calculation formula is:

[0130] W sh =W h +W s -W q

[0131] Where, the grid-connected power of the clean energy base is W sh , see the sample data in column 23 of Table 1, which is 203.94 million kW·h.

[0132] S5. According to the capacity information of the clean energy base in the short-term operation process, adjust the average daily output of hydropower to increase, and calculate the short-term output P of the clean energy base after the hydropower increases. t sh3 , obtain the short-term complementary process of clean energy base, such as Figure 4 As shown;

[0133] The details are as follows:

[0134] S51, obtaining the floating surface and the floating output of the hydropower during the floating process of the daily average output of the hydropower, and obtaining the floating process of the daily average output of the hydropower according to the capacity information of the clean energy base during the short-term operation process;

[0135] The average daily output of hydropower is floating up. This process is limited by the minimum output of hydropower, the maximum consumption space of photovoltaic power, the maximum output of hydropower, and the maximum load boundary of the power grid channel. The floating surface presented in the process of the average daily output of hydropower can be expressed as: the floating boundary P o ; The hydropower daily average output is subject to multiple boundary restrictions during the floating process, which changes the hydropower output process and can be expressed as: Hydropower floating output P t hd According to the capacity information of the clean energy base in the short-term operation process, the process of increasing the average daily output of hydropower can be divided into the following three situations:

[0136] Case ①: When M≤H, it indicates the upper limit of the average daily output of hydropower P o When floating up to the waist-load layer, the hydropower sinking electricity can be compensated by the hydropower space that the waist-load layer can accommodate, including:

[0137] exist Make

[0138] The upper limit P of the average daily output of hydropower can be obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is:

[0139] P t hd =max(P o -P t sh2 ,0)+P min , t=1…T

[0140] Case ②: When H<M≤H+G, it indicates the upper limit of the average daily output of hydropower P o When floating up to the peak load layer, the hydropower sinking electricity can be compensated by the hydropower space that can be accommodated by the mid-load layer + the hydropower space that can be accommodated by the peak load layer, including:

[0141] exist Make

[0142] The upper limit P of the average daily output of hydropower can be obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is:

[0143] P t hd =min{max(P o -max(P max , P t sh2 ),0),Pt s}+max(P max -P t sh2 ,0)+P min , t=1…T

[0144] Case ③: When H+G<M, it means that the hydropower space that the grid channel can accommodate cannot fully compensate for the hydropower sinking power, and the upper limit of the hydropower daily average output P o Floating up to the maximum load boundary of the power grid channel, including:

[0145] P o =P g

[0146] The upper limit P of the average daily output of hydropower can be obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is:

[0147] P t hd =min{max(P o -max(P max , P t sh2 ),0),P t s}+max(P max -P t sh2 ,0)+P min , t=1…T

[0148] The above process, through the analysis of the capacity information of the clean energy base in the short-term operation process, this embodiment is the second case, the hydropower floating output P t hd The calculation results are shown in the example data in the 9th column of Table 1. In addition, taking the second case as an example, the hydropower that can be accommodated in the peak load layer, the mid-load layer, and the base load layer in each period can be quickly determined through the grid channel stratification, which can be seen in the example data in the 15th, 17th, and 19th columns of Table 1, respectively. On the one hand, the floating boundary P of the average daily output of hydropower can be accurately determined. o Which layer is the type of situation? On the other hand, the floating boundary P can be quickly analyzed through iterative calculation. o The single terms from left to right in the above polynomials represent the hydropower output in each layer, which can be seen in the 25th, 24th and 15th columns of Table 1, respectively, and then the hydropower output P is obtained. t hd .

[0149] S52. Calculate the short-term output P of clean energy base hydropower after floatingt sh3 , the calculation formula is:

[0150]

[0151] In the formula, the short-term output of clean energy base hydropower after floating is P t sh3 , see the example data in column 10 of Table 1.

[0152] Table 1 Calculation process of base short-term complementarity example

[0153]

[0154]

[0155] S6. The long-term operation process of the clean energy base takes one year as the operation cycle and one day as the operation step. According to the historical data of the water and light output of the clean energy base, typical annual data are collected: the photovoltaic output process and runoff process are obtained as the basic data of the long-term operation process of the clean energy base, so as to carry out the long-term optimization scheduling of the clean energy base and obtain the long-term scheduling boundary of the clean energy base, further carry out the short-term scheduling of the clean energy base, and obtain the long-term complementary output process of the clean energy base, such as Figure 5 As shown; the details are as follows:

[0156] The information of the cascade hydropower stations of the clean energy base in the embodiment is shown in Table 2, where reservoir ② is a large reservoir with annual regulation capacity, and the rest are used as daily regulation reservoirs.

[0157] Table 2 Scale parameters of cascade hydropower stations

[0158]

[0159] S61. Construct the long-term optimization scheduling objective function of the clean energy base, as follows:

[0160]

[0161] Where: W is the amount of clean energy base connected to the grid in the year; is the grid-connected electricity of the clean energy base in month m, The calculation is based on the capacity information of the clean energy base during the short-term operation of water-photovoltaic complementarity, including:

[0162] (1) According to the typical annual photovoltaic output process, the average output of each day in the same period of the photovoltaic month is used to reduce the dimension of the photovoltaic output process information within the month to the short-term output process within the month. The calculation formula is:

[0163]

[0164] In the formula, It is the short-term output process of photovoltaic power within a month, indicating the photovoltaic power output in the tth period of the mth month; The photovoltaic output data for the tth period of the dth day of the mth month, t = 1…T, d = 1…D m , m = 1...12, T is the number of short-term operation periods, D m is the number of days in the mth month, D m =31, 30, 29 or 28; The purpose of reducing the dimension of the photovoltaic hourly output process information within the month to the short-term output process within the month is: first, to keep the photovoltaic calculation period consistent with the short-term complementary process period of the clean energy base; second, to retain the short-term volatility of photovoltaics in the process of reducing the dimension of photovoltaic information, so as to consider the impact of short-term volatility of photovoltaics on hydropower output in the long-term complementary scheduling of clean energy bases.

[0165] (2) Taking the water level process of cascade hydropower in the clean energy base during long-term operation as the decision variable, the average monthly output of hydropower is calculated through the runoff process;

[0166] (3) Based on the constraints of cascade hydropower in the long-term operation process, the maximum hydropower output, minimum hydropower output, and maximum load of the power grid channel are obtained;

[0167] According to the short-term output process of photovoltaic power in the mth month, the average monthly output of hydropower, the maximum output of hydropower, the minimum output of hydropower, and the maximum load of the power grid channel, the short-term complementarity of clean energy bases is carried out to obtain the capacity information of the short-term operation process of water-photovoltaic complementarity of clean energy bases, including: the grid-connected power of clean energy bases in this period Abandoned electricity from clean energy bases The same can be done for the remaining months, and the above information is substituted into the objective function.

[0168] S62. Construct a long-term optimal dispatch constraint function for clean energy bases. The constraint function includes output balance of cascade hydropower stations, water volume balance, hydraulic connection between upstream and downstream reservoirs, water level limit of each reservoir (power station), flow limit, and output limit. It can be independently formulated according to different operation requirements of clean energy bases.

[0169] The dynamic programming optimization algorithm is used to solve the problem and obtain the long-term operation process of the clean energy base, including the optimal average monthly hydropower output. The hydropower output of each month is further calculated based on the output information of the clean energy base in the short-term complementary process to obtain the long-term output process of the clean energy base, such as Figure 5 As shown; specifically including:

[0170] According to the short-term output process of photovoltaic power in the mth month, the optimal average monthly output of hydropower in the mth month, the maximum output of hydropower, the minimum output of hydropower, and the maximum load of the power grid channel, the short-term complementarity of the clean energy base is carried out to obtain the output information of the clean energy base during the short-term operation of hydro-photovoltaic complementarity, and the post-short-term complementarity process of the clean energy base in that month is obtained. The same can be done for the remaining months.

[0171] Through the analysis of the long-term output process of the base, the long-term regulation of cascade hydropower can fully absorb photovoltaic power, and when the average monthly hydropower output is large from June to October, the base output process tends to be stable within the month, which can effectively improve the quality of power grid connection. In the subsequent months of the dispatching period, affected by the reduction in the average monthly hydropower output, the volatility smoothing ability of the photovoltaic short-term output process within the month is reduced, and a large output peak appears. At this time, the photovoltaic grid-connected power can be used to participate in the peak regulation of the power grid.

[0172] The present invention also provides a clean energy base dispatching system based on the water-light sinking and floating complementary method, comprising:

[0173] Data collection module, used to collect basic data on the short-term complementary process of clean energy bases;

[0174] Clean energy base short-term scheduling module, used to calculate the initial short-term output P of the clean energy base t sh1 , obtain the short-term complementary process of the clean energy base; adjust the average daily output of hydropower to the minimum output boundary of hydropower, and calculate the short-term output P of the clean energy base after the hydropower sinks t sh2 , obtain the complementary process of clean energy base hydropower after sinking; according to the short-term output process of clean energy base hydropower after sinking, calculate the capacity information of clean energy base in short-term operation process; according to the capacity and output information of clean energy base in short-term operation process, adjust the average daily output of hydropower to float up, and calculate the short-term output P of clean energy base hydropower after floating up t sh3 , obtain the short-term complementary process of clean energy base;

[0175] The long-term scheduling module of the clean energy base collects the basic data of the long-term operation process of the clean energy base, so as to carry out the long-term optimization scheduling of the clean energy base and obtain the long-term scheduling boundary of the clean energy base, and further carry out the short-term scheduling of the clean energy base to obtain the long-term complementary output process of the clean energy base.

[0176] The present invention also provides a device, comprising a memory and a processor, wherein:

[0177] A memory for storing computer programs that can be run on the processor;

[0178] The processor is used to execute the steps of the clean energy base scheduling method based on the water-light sinking and floating complementarity method when running the computer program, and achieve the same technical effect as the above method.

[0179] The present invention also provides a storage medium having a computer program stored thereon. When the computer program is executed by at least one processor, the steps of a clean energy base scheduling method based on the water-light sinking and floating complementarity method are implemented, and a technical effect consistent with the above method is achieved.

[0180] In summary, a clean energy base scheduling method based on the water-photovoltaic sinking and floating complementary method of the present invention is to solve the problem of grid-connected consumption of electricity in the long-term operation process of the water-photovoltaic complementary clean energy base, and at the same time reduce the impact of the short-term power abandonment risk of the clean energy base and the volatility of photovoltaic output on the power system. First, the principle of hydropower consumption and photovoltaic compensation, and grid channel compensation for hydropower is adopted. The water-photovoltaic complementary strategy "water-photovoltaic sinking and floating complementary method" is constructed through grid channel layering to extract the capacity information of the clean energy base in the short-term complementary process, and then the capacity information is transmitted upward to the long-term complementary process of the clean energy base. This process can consider the impact of photovoltaic output characteristics on the long-term power generation plan of hydropower, and at the same time quantify the power abandonment of the clean energy base in the long-term operation process, effectively avoiding the adverse effects of abandoning light or water on the operation of the base. Finally, the output information is transmitted downward to the short-term complementary process of the base, fully absorbing the water-photovoltaic power, and optimizing the power transmission stability of the clean energy base. The present invention takes into account both the system power consumption optimization and power transmission demand requirements, and can provide a reference for the planning and design of water-photovoltaic complementary scheduling projects.

Claims

1. A clean energy base scheduling method based on the water-light sinking and floating complementary method, characterized in that: The following steps are involved: S1. The clean energy base includes cascade hydropower stations and photovoltaic power stations. The short-term operation process of the clean energy base is based on the day as the operation cycle and the hour as the operation step. According to the historical data of the hydropower output of the clean energy base, one day is randomly selected: the photovoltaic output process, the average daily output of hydropower, the maximum output of hydropower, the minimum output of hydropower and the maximum load of the power grid channel are obtained as the basic data of the short-term complementary process of the clean energy base; S2. Calculate the initial short-term output P of the clean energy base t sh1 , obtain the short-term complementary pre-process of clean energy base; Initial short-term output of clean energy base P t sh1 The calculation formula is: P t sh1 =P h +P t s Among them, P h is the average daily output of hydropower; P t s The photovoltaic power output in the t period; t = 1…T, T is the number of short-term operation periods; S3. Adjust the average daily output of hydropower to the minimum output boundary of hydropower, and calculate the short-term output P of the clean energy base after the hydropower sinks. t sh2 , obtain the complementary process of clean energy base hydropower sinking; Short-term output of clean energy base hydropower after sinking t sh2 The calculation formula is: P t sh2 =P min +P t s Among them, P min It is the minimum output of hydropower; S4. Calculate the capacity information of the clean energy base in the short-term operation process according to the short-term output process of the clean energy base hydropower after sinking; specifically: According to the minimum and maximum hydropower output, the power grid channel is divided into base load layer, mid-load layer and peak load layer, and the capacity information of the base in the short-term operation process is extracted, including: hydropower generation, photovoltaic grid-connected power, hydropower that can be accommodated in the base load layer, the power reduction when the average daily output of hydropower sinks to the minimum output of hydropower, the hydropower that can be accommodated in the mid-load layer, the hydropower that can be accommodated in the peak load layer, the hydropower that can be accommodated in the power grid channel, the total power that cannot be accommodated in the power grid channel, and the total power that can be accommodated in the power grid channel; The calculation method of capacity information during the short-term operation of the base is: (1) Hydropower generation W h , the calculation formula is: W h =P h ·T△t, where T is the total number of short-term operation periods and △t is the short-term operation step length; (2) Photovoltaic grid-connected power W s , the calculation formula is: Among them, P t sd is the maximum photovoltaic power consumption space in the tth period, indicating the maximum photovoltaic power consumption output in the tth period under the constraints of the minimum hydropower output and the maximum load of the power grid channel; P g is the maximum load of the power grid channel; t=1…T; (3) The amount of hydropower that the base load layer can accommodate is: The maximum hydropower compensation amount of the base load layer L, calculated as: L = P min ·T△t; (4) The amount of electricity reduced when the average daily output of hydropower is reduced to the minimum output of hydropower is: the amount of electricity reduced by hydropower M, calculated as: M = W h -L; (5) The amount of water and electricity that the waist-load layer can accommodate is: The maximum water and electricity compensation amount of the waist-load layer H, calculated as: Among them, P max It is the maximum output of hydropower; (6) The amount of hydropower that can be accommodated by the peak load layer is: The maximum hydropower compensation amount G of the peak load layer is calculated as: (7) The amount of hydropower that the grid channel can accommodate is: the maximum hydropower compensation amount F of the grid channel, calculated as: F = L + H + G; (8) The total amount of electricity that the grid channel cannot accommodate is: the amount of power abandoned by the base W q , the calculation formula is: W q =max(W h -F, 0); (9) The total amount of electricity that the grid channel can accommodate is: base grid-connected electricity W sh , the calculation formula is: W sh =W h +W s -W q ; S5. According to the capacity information of the clean energy base in the short-term operation process, adjust the average daily output of hydropower to increase, and calculate the short-term output P of the clean energy base after the hydropower increases. t sh3 , obtain the short-term complementary process of the clean energy base; including the following steps: S51, obtaining the floating surface and the floating output of hydropower during the floating process of the average daily output of hydropower, and obtaining the floating process of the average daily output of hydropower according to the capacity information of the clean energy base during the short-term operation process; specifically: Limited by the minimum hydropower output, the maximum photovoltaic power consumption space, the maximum hydropower output, and the maximum load boundary of the power grid channel, the floating surface presented in the process of the average daily hydropower output is expressed as: the floating boundary P o ; The average daily hydropower output is subject to multiple boundary restrictions during the floating process, which changes the hydropower output process, expressed as: Hydropower floating output P t hd ; S52. Calculate the short-term output P of the base hydropower after floating t sh3 , the calculation formula is: Among them, P g is the maximum load of the power grid channel, t = 1…T, T is the total number of short-term operation periods; S6. The long-term operation process of the clean energy base takes one year as the operation cycle and one day as the operation step length. According to the historical data of the water and light output of the clean energy base, the photovoltaic output process and runoff process of a typical year are collected as the basic data of the long-term operation process of the clean energy base, so as to carry out the long-term optimization scheduling of the clean energy base and obtain the long-term scheduling boundary of the clean energy base, further carry out the short-term scheduling of the clean energy base, and obtain the long-term complementary output process of the clean energy base; including the following steps: S61. Construct the long-term optimization scheduling objective function of the clean energy base, as follows: Among them, W is the amount of electricity connected to the grid by the clean energy base during the year; is the grid-connected electricity of the clean energy base in month m, The calculation is based on the capacity information of the base's water-photovoltaic complementary short-term operation process, including: (1) According to the typical annual photovoltaic output process, the average output of each day in the same period of the photovoltaic month is used to reduce the dimension of the photovoltaic output process information within the month to the short-term output process within the month. The calculation formula is: in, is the short-term photovoltaic output process within a month, indicating the photovoltaic output in the tth period of the mth month. The photovoltaic output data for the tth period of the dth day of the mth month, t = 1…T, d = 1…D m , m = 1...12, T is the number of short-term operation periods, D m is the number of days in the mth month; (2) Taking the water level process of cascade hydropower in the clean energy base during long-term operation as the decision variable, the average monthly output of hydropower is calculated through the runoff process; (3) Based on the constraints of cascade hydropower in the long-term operation process, the maximum hydropower output, minimum hydropower output, and maximum load of the power grid channel are obtained; According to the short-term output process of photovoltaic power in the mth month, the average monthly output of hydropower, the maximum output of hydropower, the minimum output of hydropower, and the maximum load of the power grid channel, the short-term complementarity of clean energy bases is carried out to obtain the capacity information of the short-term operation process of water-photovoltaic complementarity of clean energy bases, including: the grid-connected power of clean energy bases in this period Abandoned power generation at the base The same applies to the remaining months. S62. Construct a long-term optimal dispatch constraint function for the clean energy base, and use a dynamic programming optimization algorithm to solve it, so as to obtain the long-term operation process of the clean energy base, including the optimal average monthly hydropower output of each month, and further calculate the hydropower floating output of each month according to the output information of the clean energy base in the short-term complementary process, so as to obtain the long-term output process of the clean energy base; specifically: According to the short-term output process of photovoltaic power in the mth month, the optimal average monthly output of hydropower in the mth month, the maximum output of hydropower, the minimum output of hydropower, and the maximum load of the power grid channel, the short-term complementarity of the clean energy base is carried out to obtain the output information of the clean energy base during the short-term operation of hydro-photovoltaic complementarity, and the post-short-term complementarity process of the clean energy base in that month is obtained. The same can be done for the remaining months.

2. A clean energy base scheduling method based on water-light sinking and floating complementary method according to claim 1, characterized in that: In step S51, according to the capacity information of the base during short-term operation, the process of increasing the average daily output of hydropower is specifically divided into the following three situations: Case ①: When M≤H, it indicates the upper limit of the average daily output of hydropower P o Floating up to the waist-load layer, the hydropower sinking electricity is compensated by the hydropower space that the waist-load layer can accommodate, including: exist Make Among them, M is the amount of hydropower sinking, H is the maximum hydropower compensation amount of the waist load layer, P max It is the maximum output of hydropower; The floating boundary P is obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is: P t hd =max(P o -P t sh2 ,0)+P min Case ②: When H < M ≤ H + G, it means that the upward floating boundary P of the daily average hydropower output o floats up to the peak load layer, and the downward hydropower quantity is compensated by the hydropower quantity space that can be accommodated by the waist load layer + the hydropower quantity space that can be accommodated by the peak load layer, specifically including: exist Make Among them, P g is the maximum load of the power grid channel, G is the maximum hydropower compensation amount at the peak load layer; The floating boundary P is obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is: P t hd =min{max(P o -max(P max ,P t sh2 ),0),P t s }+max(P max -P t sh2 ,0)+P min Case ③: When H + G < M, it means that the hydropower capacity space that the power grid channel can accommodate cannot fully compensate for the downward hydropower power, and the upward floating boundary P of the average daily hydropower output o floats up to the maximum load boundary of the power grid channel, specifically including: P o =P g The floating boundary P is obtained by calculating the above formula o , further calculate the hydropower buoyancy output P t hd , the calculation formula is: P t hd =min{max(P o -max(P max ,P t sh2 ),0),P t s }+max(P max -P t sh2 ,0)+P min 。 3. A clean energy base dispatching system based on the water-light sinking and floating complementary method, characterized in that: include: Data collection module, used to collect basic data on the short-term complementary process of clean energy bases; Clean energy base short-term scheduling module, used to calculate the initial short-term output P of the clean energy base t sh1 , obtain the short-term complementary pre-process of clean energy base; Adjust the average daily output of hydropower to the minimum output boundary of hydropower, and calculate the short-term output P of clean energy base hydropower after sinking t sh2 , obtain the complementary process of clean energy base hydropower sinking; According to the short-term output process of the clean energy base hydropower after sinking, calculate the capacity information of the clean energy base in the short-term operation process; According to the capacity and output information of the clean energy base in the short-term operation process, the average daily output of hydropower is adjusted to increase, and the short-term output P of the clean energy base after the hydropower increases is calculated. t sh3 , obtain the short-term complementary process of clean energy base; Specifically: According to the minimum and maximum hydropower output, the power grid channel is divided into base load layer, mid-load layer and peak load layer, and the capacity information of the base in the short-term operation process is extracted, including: hydropower generation, photovoltaic grid-connected power, hydropower that can be accommodated in the base load layer, the power reduction when the average daily output of hydropower sinks to the minimum output of hydropower, the hydropower that can be accommodated in the mid-load layer, the hydropower that can be accommodated in the peak load layer, the hydropower that can be accommodated in the power grid channel, the total power that cannot be accommodated in the power grid channel, and the total power that can be accommodated in the power grid channel; The calculation method of capacity information during the short-term operation of the base is: (1) Hydropower generation W h , the calculation formula is: W h =P h ·T△t, where T is the total number of short-term operation periods and △t is the short-term operation step length; (2) Photovoltaic grid-connected power W s , the calculation formula is: Among them, P t sd is the maximum photovoltaic power consumption space in the tth period, indicating the maximum photovoltaic power consumption output in the tth period under the constraints of the minimum hydropower output and the maximum load of the power grid channel; P g is the maximum load of the power grid channel; t=1…T; (3) The amount of hydropower that the base load layer can accommodate is: The maximum hydropower compensation amount of the base load layer L, calculated as: L = P min ·T△t; (4) The amount of electricity reduced when the average daily output of hydropower is reduced to the minimum output of hydropower is: the amount of electricity reduced by hydropower M, calculated as: M = W h -L; (5) The amount of water and electricity that the waist-load layer can accommodate is: The maximum water and electricity compensation amount of the waist-load layer H, calculated as: Among them, P max It is the maximum output of hydropower; (6) The amount of hydropower that can be accommodated by the peak load layer is: The maximum hydropower compensation amount G of the peak load layer is calculated as: (7) The amount of hydropower that the grid channel can accommodate is: the maximum hydropower compensation amount F of the grid channel, calculated as: F = L + H + G; (8) The total amount of electricity that the power grid channel cannot accommodate is: the amount of power abandoned by the base W q , the calculation formula is: W q =max(W h -F, 0); (9) The total amount of electricity that the grid channel can accommodate is: base grid-connected electricity W sh , the calculation formula is: W sh =W h +W s -W q ; The floating surface and the floating output of hydropower in the process of the floating of the average daily output of hydropower are obtained. According to the capacity information of the clean energy base in the short-term operation process, the floating process of the average daily output of hydropower is obtained; specifically: Limited by the minimum hydropower output, the maximum photovoltaic power consumption space, the maximum hydropower output, and the maximum load boundary of the power grid channel, the floating surface presented in the process of the average daily hydropower output is expressed as: the floating boundary P o ; The average daily hydropower output is subject to multiple boundary restrictions during the floating process, which changes the hydropower output process, expressed as: Hydropower floating output P t hd ; Calculate the short-term output P of the base hydropower after floating t sh3 , the calculation formula is: Among them, P g is the maximum load of the power grid channel, t = 1…T, T is the total number of short-term operation periods; The long-term scheduling module of the clean energy base collects the basic data of the long-term operation process of the clean energy base, so as to carry out the long-term optimization scheduling of the clean energy base and obtain the long-term scheduling boundary of the clean energy base, further carry out the short-term scheduling of the clean energy base, and obtain the long-term complementary output process of the clean energy base; specifically: The objective function of long-term optimization scheduling of clean energy base is constructed as follows: Among them, W is the amount of electricity connected to the grid by the clean energy base during the year; is the grid-connected electricity of the clean energy base in month m, The calculation is based on the capacity information of the base's water-photovoltaic complementary short-term operation process, including: (1) According to the typical annual photovoltaic output process, the average output of each day in the same period of the photovoltaic month is used to reduce the dimension of the photovoltaic output process information within the month to the short-term output process within the month. The calculation formula is: in, is the short-term photovoltaic output process within a month, indicating the photovoltaic output in the tth period of the mth month. The photovoltaic output data for the tth period of the dth day of the mth month, t = 1…T, d = 1…D m , m = 1...12, T is the number of short-term operation periods, D m is the number of days in the mth month; (2) Taking the water level process of cascade hydropower in the clean energy base during long-term operation as the decision variable, the average monthly output of hydropower is calculated through the runoff process; (3) Based on the constraints of cascade hydropower in the long-term operation process, the maximum hydropower output, minimum hydropower output, and maximum load of the power grid channel are obtained; According to the short-term output process of photovoltaic power in the mth month, the average monthly output of hydropower, the maximum output of hydropower, the minimum output of hydropower, and the maximum load of the power grid channel, the short-term complementarity of clean energy bases is carried out to obtain the capacity information of the short-term operation process of water-photovoltaic complementarity of clean energy bases, including: the grid-connected power of clean energy bases in this period Abandoned power generation at the base The same applies to the remaining months. The long-term optimal dispatch constraint function of the clean energy base is constructed and solved by the dynamic programming optimization algorithm to obtain the long-term operation process of the clean energy base, including the optimal average monthly hydropower output of each month. The hydropower floating output of each month is further calculated based on the output information of the clean energy base in the short-term complementary process to obtain the long-term output process of the clean energy base; specifically: According to the short-term output process of photovoltaic power in the mth month, the optimal average monthly output of hydropower in the mth month, the maximum output of hydropower, the minimum output of hydropower, and the maximum load of the power grid channel, the short-term complementarity of the clean energy base is carried out to obtain the output information of the clean energy base during the short-term operation of hydro-photovoltaic complementarity, and the post-short-term complementarity process of the clean energy base in that month is obtained. The same can be done for the remaining months.

4. A device, characterized in that: comprising a memory and a processor, wherein: A memory for storing computer programs that can be run on the processor; A processor is used to execute the steps of a clean energy base scheduling method based on the water-light sinking and floating complementary method as described in any one of claims 1-2 when running the computer program.

5. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed by at least one processor, implements the steps of a clean energy base scheduling method based on the water-light sinking and floating complementary method as described in any one of claims 1-2.

Images