A heuristic water, wind, light and landscape multi-energy complementary operation simulation calculation method and system

Abstract

The present application relates to the technical field of power optimization, and discloses a heuristic water-wind-solar-storage multi-energy complementary operation simulation calculation method and system, comprising: obtaining operation data of a water-wind-solar-storage multi-energy complementary base; calculating a hydropower station output process according to load demand, a hydropower station expected output process, a hydropower station forced output process, a wind power station output process and a photovoltaic power station output process; optimizing the output timing of the hydropower station based on the load demand and the hydropower station output process to obtain an optimized hydropower station output process; calculating a pumped storage power station pumping and storage output process based on the wind power station output, the photovoltaic power station output and the optimized hydropower station output process; and optimizing the pumped storage power station pumping and storage output process based on the pumped storage power station power generation process and pumping process to obtain an optimized pumped storage power station pumping and storage output process; the present application solves the problems of existing simulation optimization calculation methods, such as complex optimization calculation and poor timeliness.

Description

Technical Field

[0001] This invention relates to the field of power optimization technology, and in particular to a heuristic simulation calculation method and system for multi-energy complementary operation of hydropower, wind power, solar power, and energy storage. Background Technology

[0002] As the global energy structure accelerates its transition towards cleaner and lower-carbon energy, the large-scale development and efficient utilization of renewable energy sources such as hydropower, wind power, and solar power have become an inevitable trend. Multi-energy complementary systems combining hydropower, wind power, solar power, and pumped storage can effectively mitigate the intermittency and volatility of renewable energy output, improve the reliability and economy of energy supply, and serve as a crucial support for building new power systems. However, existing technologies still face significant challenges in simulating the operation and optimizing the capacity of such complex systems. Traditional operation simulation methods often employ equal time periods (such as fixed 1-hour periods) for power balance calculations. This approach fails to fully consider the significant differences in load demand, wind and solar power output, and grid security constraints (such as the blocking capacity requirements of ultra-high voltage direct current transmission) at different times of the day. For example, power shortages may occur during peak hours and power curtailment may occur during off-peak hours. Equal-time models are difficult to accurately depict this dynamic characteristic, causing optimization results to deviate from the actual optimal solution. This often manifests as insufficient utilization of system regulation capacity, high wind and solar curtailment rates, or failure to meet strict power transmission safety constraints.

[0003] Furthermore, existing optimization algorithms often rely on complex mathematical programming models when dealing with joint optimization problems involving multiple variables and constraints, such as water, wind, solar, and energy storage. While these models are theoretically rigorous, they suffer from high computational complexity, slow solution speed, sensitivity to initial values, and difficulty in converging to the global optimum. Their engineering practicality and timeliness are particularly limited in large-scale simulations spanning 8760 hours per year. Therefore, existing simulation-based optimization methods suffer from computational complexity and poor timeliness. Summary of the Invention

[0004] This invention provides a heuristic simulation calculation method and system for the operation of multi-energy complementary hydro-wind-solar-storage systems, in order to solve the problems of complex optimization calculation and poor timeliness of existing simulation optimization calculation methods.

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

[0006] In a first aspect, the present invention provides a heuristic simulation calculation method for the operation of multi-energy complementary hydro-wind-solar-storage systems, comprising:

[0007] S1. Based on the power supply structure of the hydropower, wind power, solar power and energy storage multi-energy complementary base, obtain the load demand of the base power supply, the expected output process of the hydropower station, the forced output process of the hydropower station, the output process of the wind power station and the output process of the photovoltaic power station.

[0008] S2. Calculate the power output process of the hydropower station based on the load demand, the expected power output process of the hydropower station, the forced power output process of the hydropower station, the power output process of the wind power station, and the power output process of the photovoltaic power station.

[0009] S3. Based on the load demand and the power output process of the hydropower station, the power output sequence of the hydropower station is optimized to obtain the optimized power output process of the hydropower station.

[0010] S4. Calculate the pumping output process of the pumped storage power station based on the output of the wind power station, the output of the photovoltaic power station, and the optimized output process of the hydropower station.

[0011] S5. Based on the power generation and pumping processes of the pumped storage power station, the pumping output process of the pumped storage power station is optimized to obtain the optimized pumping output process of the pumped storage power station. The optimized power station output process and the optimized pumped storage power station output process are used as the optimization calculation results.

[0012] In step S3, the power output timing of the hydropower station is optimized, including:

[0013] Based on load demand, the hydropower station needs to increase its total daily output during peak hours. Hydropower stations need to increase their total daily output during off-peak hours. During off-peak hours, hydropower stations can reduce their total daily output. And during off-peak and low-peak periods, the total daily output of hydropower stations can be reduced. ;

[0014] Determine the UHVDC blocking capacity, and adjust the hydropower station output during peak hours, off-peak hours, and off-peak hours based on the UHVDC blocking capacity to ensure that the hydropower station output meets the UHVDC blocking capacity.

[0015] Based on the increased daily output of hydropower stations at different times and the adjusted output of hydropower stations at different times, while prioritizing the meeting of UHVDC blocking capacity, the output of hydropower stations is optimized in the order of peak hours, off-peak hours, and off-peak hours to obtain the optimized hydropower station output process.

[0016] Optionally, in step S2, the process of calculating the power output of the hydropower station includes:

[0017] The first residual load is calculated based on the power output processes of the wind power station, the photovoltaic power station, and the load demand. The calculation satisfies the following relationship:

[0018] ;

[0019] In the formula, for Constant load demand, for Wind power station output at all times for The photovoltaic station is always generating power;

[0020] Based on the first residual load, the expected output of the hydropower station, and the forced output of the hydropower station, the power output process of the hydropower station is calculated, and the calculation satisfies the following relationship:

[0021] ;

[0022] In the formula, for The power output process of the hydropower station at all times , These represent taking the maximum and minimum values ​​listed in parentheses, respectively. To contribute to the planned hydropower, Forced power output for hydroelectricity;

[0023] Based on the power output process of the hydropower station, the daily power output process of the hydropower station is calculated, and the calculation satisfies the following relationship:

[0024] ;

[0025] In the formula, This indicates the daily processing schedule of the hydropower station. This indicates a summation.

[0026] Optionally, in step S3, optimizing the power output sequence of the hydropower station includes:

[0027] Based on load demand, the hydropower station needs to increase its total daily output during peak hours. Hydropower stations need to increase their total daily output during off-peak hours. During off-peak hours, hydropower stations can reduce their total daily output. And during off-peak and low-peak periods, the total daily output of hydropower stations can be reduced. The calculation satisfies the following relationship:

[0028] ;

[0029] ;

[0030] ;

[0031] ;

[0032] In the formula, This indicates peak-hour load demand. This indicates load demand during off-peak and low-peak periods. This indicates load demand during off-peak hours. To contribute to the planned hydropower, Forced power output for hydroelectricity, for The power output process of the hydropower station at all times for Wind power station output at all times for The photovoltaic station is always generating power. for Constant load demand;

[0033] The UHVDC blocking capacity is determined, and based on this capacity, the hydropower station output during peak hours, off-peak hours, and off-peak hours is adjusted to ensure that the hydropower station output meets the UHVDC blocking capacity. The adjustment process satisfies the following relationship:

[0034] ;

[0035] ;

[0036] ;

[0037] In the formula, This is the minimum transmission power required for ultra-high voltage direct current (UHVDC). When the output is completely reduced to forced output during peak and off-peak periods;

[0038] Based on the increased daily output of hydropower stations at different times and the adjusted output of hydropower stations at different times, while prioritizing the meeting of UHVDC blocking capacity, the output of hydropower stations is optimized in the order of peak hours, off-peak hours, and off-peak hours to obtain the optimized hydropower station output process.

[0039] Optionally, the power output of the hydropower station can be optimized, including:

[0040] calculate The required increase in hydropower output to meet the lockout capacity at any given time is calculated based on the following relationship:

[0041] ;

[0042] In the formula, for In order to meet the increased hydropower output required to meet the interlocking capacity, This is the minimum transmission power required for ultra-high voltage direct current (UHVDC). To provide power for wind power, Contribute to photovoltaic power for The power output process of a hydroelectric power station at all times;

[0043] Under the premise of meeting the blocking capacity requirements, the power output of the hydropower station during off-peak hours is reallocated. The reallocation of the power output of the hydropower station during off-peak hours satisfies the following relationship:

[0044] ;

[0045] ;

[0046] In the formula, For the updated hydropower output process, for The power output process of the hydropower station at all times To contribute to the planned hydropower, Forced power output for hydroelectricity, To reduce the total daily output of hydropower stations during off-peak hours, This is the sum of the additional hydropower output required within 24 hours to meet the interlocking capacity.

[0047] like Reduce output during off-peak hours If the value is greater than 0, the total output of the hydropower station will be reduced during off-peak hours. , The allocation to peak hours satisfies the following relationship:

[0048] ;

[0049] In the formula, This indicates peak-hour load demand. for Wind power station output at all times for The photovoltaic station is always generating power. During off-peak and off-peak periods, hydropower stations can reduce their total daily output. for Constant load demand;

[0050] Based on the results of allocation to peak hours, the output of hydropower stations during off-peak and off-peak hours is smoothed, and the reduction in total output of hydropower stations during off-peak and off-peak hours is iteratively calculated. Less than the limit The power output of a hydropower station during off-peak and off-peak periods satisfies the following relationship:

[0051] , ;

[0052] In the formula, This refers to the number of off-peak and off-peak periods within a 24-hour period. for Constant load demand, This refers to load demand during off-peak and off-peak periods;

[0053] The total output of the hydropower station is reduced during off-peak hours and allocated to off-peak hours. The allocation to off-peak hours satisfies the following relationship:

[0054] , ;

[0055] Based on the results allocated to off-peak and off-peak periods, the power output of hydropower stations during off-peak periods is smoothed, and the reduction in total power output of hydropower stations during off-peak periods is iteratively calculated. Less than the limit The power output of a hydropower station during smoothing off-peak periods satisfies the following relationship:

[0056] , ;

[0057] In the formula, The number of low-price periods within 24 hours. For off-peak load demand;

[0058] like Reduce output during off-peak hours If the interlocking requirement cannot be met, the hydropower output during off-peak hours will be reallocated to meet the interlocking requirement. The reallocation of hydropower output during off-peak hours satisfies the following relationship:

[0059] ;

[0060] ;

[0061] like Then reduce output during off-peak and low-peak periods. If the value is greater than 0, then the total output of the hydropower station will be reduced during off-peak hours and allocated to peak hours. The allocation to peak hours will satisfy the following relationship:

[0062] ;

[0063] In the formula, The total amount of hydropower output that still needs to be increased to meet the UHVDC blocking capacity after the hydropower output during off-peak hours is redistributed within 24 hours.

[0064] Based on the results allocated to peak hours, the power output of hydropower stations during off-peak and off-peak periods is smoothed, and the reduction in total power output of hydropower stations during off-peak and off-peak periods is iteratively calculated. Less than the limit The power output of a hydropower station during off-peak and off-peak periods satisfies the following relationship:

[0065] , ;

[0066] like Reduce output during off-peak hours Reduce output during off-peak and low-peak periods Neither of these can meet the interlocking requirements. Therefore, hydropower output during peak and off-peak hours is reallocated to meet the interlocking requirements. This reallocation satisfies the following relationship:

[0067] ;

[0068] In the formula, When the peak and off-peak periods are completely reduced to forced output

[0069] Smooth the output of hydropower stations during peak and off-peak periods, and iteratively calculate the reduction in total output of hydropower stations during peak and off-peak periods. Less than the limit The power output of a hydropower station during peak and off-peak periods satisfies the following relationship:

[0070] , ;

[0071] In the formula, This represents the number of peak hours within 24 hours.

[0072] Optionally, in step S4, the process of calculating the pumped storage output of the pumped storage power station includes:

[0073] Calculate the second residual load based on the hydropower output process, wind power output process, and photovoltaic power output process. The calculation satisfies the following relationship:

[0074] ;

[0075] In the formula, for Constant load demand, for Wind power station output at all times for The photovoltaic station is always generating power. To provide power for the upgraded hydroelectric power station;

[0076] According to the second residual load The relationship with 0 is used to calculate the pumped storage power, which satisfies the following relationship:

[0077] ;

[0078] ;

[0079] In the formula, This refers to the pumping and power output process of a pumped storage power station. To maximize pumped storage power generation, for The reservoir energy is continuously pumped, with the initial value being the initial reservoir energy at the start of pumping. , To achieve the maximum pumping power of the pumped storage system, To maximize the storage capacity.

[0080] Optionally, in step S5, the power output process of the pumped storage power station is optimized, including:

[0081] Traverse the 8760-hour output process of the pumped storage power station, and find all consecutive pumping periods with a duration of 2 or more, recording this period set as... ;

[0082] From time period set Iterate through two consecutive pumping periods. , ,statistics , The cumulative output required during peak hours The cumulative output required at the peak during off-peak and off-peak periods The statistics satisfy the following relationship:

[0083] ;

[0084] ;

[0085] In the formula, To accumulate the necessary effort for peak hours This is to accumulate the necessary effort for peak periods during off-peak and off-peak hours. This refers to the pumping and power output process of a pumped storage power station. for Constant load demand, This indicates peak-hour load demand. This indicates load demand during off-peak hours;

[0086] By adjusting the output of pumped storage power stations during different load periods to meet the capacity requirements of UHVDC long-distance power transmission blocking, the pumped storage power station does not generate power during each load period, as shown in the following formula:

[0087] ;

[0088] ;

[0089] ;

[0090] In the formula, , , They are respectively , During off-peak hours, off-peak hours, and peak hours, the pumping and storage system does not release accumulated power. for Wind power station output at all times for The photovoltaic station is always generating power. for The power output process of the hydropower station at all times This indicates load demand during off-peak hours. This is the minimum transmission power required for ultra-high voltage direct current (UHVDC).

[0091] According to the pumped storage power station time period , Increased power output and pumped storage power station operating hours , Without accumulating output, and prioritizing the UHVDC blocking capacity, the output of the pumped storage power station is optimized in the order of peak hours, off-peak hours, and off-peak hours to obtain the optimized pumped storage power output process.

[0092] Optionally, the output of the pumped storage power station can be optimized, including:

[0093] calculate The required increase in pumped storage capacity to meet the locking capacity requirement at any given time is calculated according to the following relationship:

[0094] ;

[0095] To meet the lockout capacity requirements, the pumping capacity during off-peak hours is reallocated, satisfying the following relationship:

[0096] ;

[0097] ;

[0098] In the formula, For the updated pumping output, For time period , The sum of pumping capacity required to meet the lockout capacity requirement;

[0099] like During periods of low energy expenditure, the pumping system does not release accumulated power. If the value is greater than 0, then the pumping station will not release its accumulated power during off-peak hours. , The allocation to peak hours satisfies the following relationship:

[0100] ;

[0101] Based on the results allocated to peak periods, the pumping capacity during off-peak and off-peak periods is smoothed, and the cumulative pumping capacity during off-peak and off-peak periods is iteratively calculated. Less than the limit The smoothing of pumping treatment during off-peak and off-peak periods satisfies the following relationship:

[0102] , ;

[0103] The pumped storage that does not generate power during off-peak hours is allocated to off-peak hours, and the allocation to off-peak hours satisfies the following relationship:

[0104] , ;

[0105] Based on the results allocated to off-peak and off-peak periods, the pumping output during off-peak periods is smoothed, and the cumulative non-output pumping output during off-peak periods is calculated iteratively. Less than the limit The pumped power output during smooth trough periods satisfies the following relationship:

[0106] , ;

[0107] In the formula, For time period , Number of periods of low activity;

[0108] like During periods of low energy expenditure, the pumping system does not release accumulated power. If the lockout requirement cannot be met, the pumped storage capacity during off-peak and low-peak periods will be reallocated to meet the lockout requirement. The reallocation will satisfy the following relationship:

[0109] ;

[0110] ;

[0111] like During off-peak and off-peak periods, the pumped water will accumulate and not generate power. If the value is greater than 0, then the pumped storage accumulated during off-peak and low-peak periods will not generate power and will be allocated to peak periods. The allocation to peak periods will satisfy the following relationship:

[0112] ;

[0113] Based on the results allocated to peak periods, the pumping capacity during off-peak and off-peak periods is smoothed, and the cumulative non-output capacity during off-peak and off-peak periods is iteratively calculated. Less than the limit The pumped storage capacity during off-peak and off-peak periods satisfies the following relationship:

[0114] , ;

[0115] like During periods of low energy expenditure, the accumulated energy does not generate power. During off-peak and low-peak periods, the pumped water system accumulates but does not generate power. If neither of these conditions can meet the interlocking requirements, the pumped storage power output during peak and off-peak hours should be reallocated to prioritize meeting the interlocking requirements.

[0116] ;

[0117] ;

[0118] In the formula, For time period , Internal locking capacity requirements;

[0119] Smooth out pumped storage output during peak and off-peak periods, and iteratively calculate the cumulative non-output pumped storage output during peak and off-peak periods. Less than the limit The smoothing principle is as follows:

[0120] , ;

[0121] In the formula, For time period , Number of peak hours;

[0122] ;

[0123] In the formula, The system needs to purchase additional capacity within one year to meet interlocking requirements. For time period set Number.

[0124] Secondly, embodiments of this application provide a heuristic simulation computing system for multi-energy complementary operation of water, wind, solar and storage systems, including a processor and a memory;

[0125] Memory, used to store computer programs;

[0126] When a processor executes a program stored in memory, it implements any of the steps of the method described in the first aspect.

[0127] Beneficial effects:

[0128] The heuristic simulation calculation method for multi-energy complementary operation of hydropower, wind power, photovoltaic power, and pumped storage provided by this invention simplifies the complex optimization calculation of hydropower, wind power, photovoltaic power, and pumped storage into the optimization of hydropower data and pumped storage data. This avoids the problems of high computational complexity and slow solution speed caused by the large amount of data in multi-constraint joint optimization. By simplifying the complex multi-constraint joint optimization problem into dynamically dividing the operating day into different periods such as peak, flat, and low periods according to load characteristics, the model can more realistically reflect the temporal distribution differences of the contradiction between power supply and demand. Within this framework, the optimization algorithm can more effectively schedule peak shaving and valley filling for hydropower, as well as the "pump-to-generation" conversion timing for pumped storage, thereby obtaining a power output process that more closely reflects actual operating patterns. This significantly reduces simulation deviations caused by overly coarse time period divisions. The heuristic rule-guided iterative calculation method avoids the large-scale matrix operations and nonlinear solution difficulties of complex mathematical programming models, reducing the complexity of optimization calculations. Innovatively, the key safety constraint of UHVDC blocking capacity is deeply embedded into the optimization models of hydropower and pumped storage power stations in the form of mathematical formulas. Through pre-defined priority logic, while optimizing economic efficiency, the algorithm prioritizes ensuring that the total system output does not fall below the lower limit of the blocking capacity at any given time, fundamentally guaranteeing the safe and stable operation of long-distance transmission channels and improving the timeliness of data optimization. Attached Figure Description

[0129] Figure 1 A flowchart of a preferred embodiment of the present invention is provided.

[0130] Figure 2 This is a schematic diagram of the preliminary hydropower output process according to a preferred embodiment of the present invention;

[0131] Figure 3 A schematic diagram of the hydropower output process based on load characteristics and wind and solar power output optimization provided for a preferred embodiment of the present invention;

[0132] Figure 4 A schematic diagram of a heuristic method for optimizing the output of a pumped storage power station during unequal time periods, provided as a preferred embodiment of the present invention. Detailed Implementation

[0133] The technical solution of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0134] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms "an" or "a" and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms "connected" or "linked" and similar terms are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up," "down," "left," "right," etc., are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship also changes accordingly.

[0135] Please see Figure 1 This application provides a heuristic simulation calculation method for multi-energy complementary operation of hydropower, wind power, solar power, and energy storage, comprising the following steps:

[0136] Step S1: Based on the power structure of the multi-energy complementary base of hydropower, wind power, solar power and storage, the calculation data of this invention includes the daily projected output, forced output and average output of the hydropower station, the 8760-hour output process of the photovoltaic power station, the 8760-hour output process of the wind power station, the conversion efficiency, continuous full-load utilization hours and installed capacity of the pumped storage power station, etc.

[0137] Step S2: Based on the load demand and the output processes of wind and solar power, calculate the initial daily output process of the hydropower station while minimizing water wastage.

[0138] Step S21: Calculate the first residual load based on the wind power output process and the photovoltaic power output process. :

[0139]

[0140] In the formula, for Real-time load demand, in MW for Wind power output at any time, in MW. for Photovoltaic power output at any given time, measured in MW.

[0141] Step S22: Calculate the total daily output of hydropower:

[0142]

[0143] In the formula, To express summation, for Hydropower output at any given time, measured in MW.

[0144] Step S23: Preliminary calculation of hydropower output based on the first residual load:

[0145]

[0146] In the formula, for The power output after the hydropower upgrade is measured in MW. , These represent taking the maximum and minimum values ​​listed in parentheses, respectively. The projected power output for hydropower is expressed in MW. Forced output of hydropower, measured in MW.

[0147] Step S24: Calculate the updated daily total power output balance of hydropower:

[0148]

[0149]

[0150] In the formula, The total daily output after the hydropower upgrade is expressed in MW. This represents the daily change in total power output after the hydropower upgrade, expressed in MW.

[0151] Step S25: Maintain daily balance of water and electricity output, and perform secondary smoothing on the water and electricity output. The smoothing principle is to make... The absolute value is less than the limit. :

[0152]

[0153] In the formula, This indicates taking the absolute value.

[0154] In the above embodiment steps, the mathematical model and iterative smoothing process for calculating the initial hydropower output are specifically defined. The "first residual load" in step S21 refers to the net load that needs to be balanced by hydropower and pumped storage after deducting fluctuating wind and solar power output. The formula in step S22 ensures that the hydropower output is neither lower than the forced output nor higher than the expected output, and tracks this first residual load as much as possible. Steps S23 and S24 constitute a closed-loop intraday energy balance correction process: due to the truncation process in step S22, the initial total output... Possibly related to the total target Discrepancy, resulting in a difference. The iterative smoothing algorithm (i.e., "double smoothing") in step S24 is used to smooth the surface. The output is distributed across 24 time periods, and the output limit is checked again. This process is repeated until the total output change is less than a very small threshold. This allows for a strict balance in the daily power generation of hydropower while meeting the upper and lower limits of power output constraints.

[0155] Step S3: Propose a method for optimizing the output of hydropower stations based on load demand, which increases the output of hydropower stations during peak load periods and reduces the output during off-peak periods.

[0156] The hydropower station output optimization method based on load demand described in step S3 includes the following steps:

[0157] Step S31: Based on the load demand, when the peak period requirement is met, the hydropower station needs to increase its total daily output. When peak demand is met during off-peak hours, hydropower stations need to increase their total daily output. When the output is reduced to the forced output level during off-peak hours, the hydropower station can reduce its total daily output. When the output is completely reduced to the forced output during off-peak and off-peak periods, the hydropower station can reduce its total daily output. :

[0158]

[0159]

[0160]

[0161]

[0162] In the formula, This indicates peak-hour load demand, expressed in MW. This represents the load demand during off-peak hours, in MW. This indicates load demand during off-peak hours, expressed in MW.

[0163] Step S32: To meet the safety and stability requirements of long-distance UHVDC power transmission, the power transmission capacity of the UHVDC channel must always be kept above a minimum limit, which is the UHVDC blocking capacity. The blocking capacity requirement for long-distance UHVDC power transmission is met by adjusting the hydropower station output during different load periods. Specifically, the hydropower output is reduced according to the priority of low load, off-peak low load, and peak load to meet the blocking capacity. The adjustment of output reduction during each load period in step S41 is shown in the following formula.

[0164]

[0165]

[0166]

[0167] In the formula, This refers to the minimum transmission power required for ultra-high voltage direct current (UHVDC), i.e., the blocking capacity mentioned above, which is a constant value in MW. When the output is reduced to the forced output during peak and off-peak periods, the total output of the hydropower station can be reduced within a day, in MW.

[0168] Step S33: Based on the daily power output increase of the hydropower station obtained in Step S41 and the daily power output decrease of the hydropower station obtained in Step S42, prioritize meeting the blocking requirements and optimize the hydropower output process according to the order of peak load and off-peak load.

[0169] In the above embodiment steps, an ultra-high voltage direct current (UHVDC) "blocking capacity" constraint is introduced, and a time-based, priority-based adjustment logic is established. The unequal time period division in step S31 is based on load factor; periods with a load factor of 1 (e.g., 10:00-12:00, 14:00-19:00) are considered peak periods. The period with a load factor of 0.6 (e.g., 1-7, 24 hours) is the trough. The rest are flat sections. The formula in step S32 is crucial: for trough periods, This represents the downward adjustment range of the hydropower output at that moment (i.e., how much output can be reduced), and This indicates that the total system output (water + wind + solar) at that moment exceeded the blocking capacity. The part (i.e., how much output needs to be reduced at most to meet the locking requirements). The min function takes the smaller of the two values ​​to ensure that the adjustment is feasible and effective; max(…,0) ensures that the result is non-negative. This is the sum of all hydropower output that is reduced (i.e., released for increased output during other periods) during off-peak hours to "meet the lockout requirements." The same calculation applies. and Step S33 then, based on the total amount of these "mobile resources", initiates a detailed iterative allocation algorithm according to the priority of "adjusting low-peak periods first, then adjusting medium-peak periods, and finally adjusting peak periods" to achieve the optimization goal of "generating more power during peak periods and less power during low-peak periods" while satisfying the locking constraints.

[0170] The hydropower output optimization method described in step S33 is carried out according to the following detailed steps:

[0171] Step S331: Calculation In order to meet the increased hydropower output required to meet the interlocking capacity,

[0172]

[0173] Step S332: Reallocate hydropower output during off-peak hours, prioritizing the fulfillment of interlocking requirements.

[0174]

[0175]

[0176] In the formula The updated hydropower output is measured in MW. It is the sum of the additional hydropower output required within 24 hours to meet the lockout capacity, in MW.

[0177] Step S333: If Reduce output during off-peak hours A value greater than 0 can optimize the hydropower output process.

[0178] Step S3331: Reduce the total output of the hydropower station during off-peak hours. , The allocation is based on the following formula, and is distributed according to peak hours.

[0179]

[0180] Step S3332: Based on the calculation results of step S3331, smooth the power output of the hydropower station during off-peak and off-peak periods, and iteratively calculate the reduction in total power output of the hydropower station during off-peak and off-peak periods. Less than the limit The smoothing principle is as follows:

[0181]

[0182] In the formula, This refers to the number of off-peak and low-peak periods within a 24-hour period.

[0183] Step S3333: During off-peak hours, the hydropower station reduces its total output and distributes it to off-peak periods. The distribution principle is as follows:

[0184]

[0185] Step S3334: Based on the calculation results of steps S3332 and S3333, smooth the power output of the hydropower station during off-peak hours and iteratively calculate the reduction in total power output of the hydropower station during off-peak hours. Less than the limit The smoothing principle is as follows:

[0186]

[0187] In the formula, The number of low-price periods within 24 hours;

[0188] Step S334: If Reduce output during off-peak hours If the interlocking requirements cannot be met, the hydropower output during off-peak hours should be reallocated to prioritize meeting the interlocking requirements.

[0189]

[0190]

[0191] Step S335: If Then reduce output during off-peak and low-peak periods. A value greater than 0 can optimize the hydropower output process.

[0192] Step S3351: Reduce the total output of the hydropower station during off-peak and off-peak periods and allocate it to peak periods. The allocation principle is as follows:

[0193]

[0194] Step S3352: Based on the calculation results of step S3351, smooth the power output of the hydropower station during off-peak and off-peak periods, and iteratively calculate the reduction in total power output of the hydropower station during off-peak and off-peak periods. Less than the limit The smoothing principle is as follows:

[0195]

[0196] Step S336: If Reduce output during off-peak hours Reduce output during off-peak and low-peak periods If none of these conditions can be met, the hydropower output during peak and off-peak hours should be reallocated to prioritize meeting the interlocking requirements.

[0197]

[0198] Smooth the output of hydropower stations during peak and off-peak periods, and iteratively calculate the reduction in total output of hydropower stations during peak and off-peak periods. Less than the limit The smoothing principle is as follows:

[0199]

[0200] In the formula, This represents the number of peak hours within 24 hours.

[0201] The above embodiments describe in detail the decision tree and core computation steps of the hydropower optimization iterative algorithm. In S331... This indicates that at time j, the total system output (wind, solar, and hydropower) is lower than the blocking capacity. The "gap" This represents the total gap for the entire day. If... This indicates that no additional power output is needed for the lockout, so the objective becomes purely "peak shaving and valley filling" optimization. S332 corresponds to this situation: transferring as much power potential saved during off-peak and flat periods as possible to peak periods. During the transfer, the new hydropower output... Constrained by three upper limits: the maximum capacity of hydropower itself. The allocation process involves meeting the net load requirements during peak hours, as well as the current output plus the total transferable potential. After allocation, a smoothing operation is performed to fine-tune the output during flat and low-peak periods, ensuring the adjusted output... and Approaching zero (less than α) smooths the output process. If If this is the case, it indicates the existence of a power gap that must be addressed first. S333 states that the gap will be filled sequentially using the "reduced output capacity" of these time periods, following the consumption order of "valley -> flat period -> peak period." Specifically, first, try increasing hydropower output during valley periods (i.e., reducing its planned reduction value) to fill the gap; if insufficient, try during flat periods, and finally during peak periods. Each attempt involves similar output redistribution and smoothing calculations.

[0202] Step S4: After determining the output of the hydropower station, perform preliminary calculations of the power generation and pumping process of the pumped storage power station based on the load demand and the output processes of wind and solar power.

[0203] Step S41: Calculate the second residual load based on the hydropower output process, wind power output process, and photovoltaic power output process. :

[0204]

[0205] Step S42: Based on the second residual load The relationship with 0 is used to calculate the pumped storage output:

[0206]

[0207]

[0208] In the formula, The maximum generating capacity of the pumped storage tank is expressed in MW. for The reservoir energy is continuously pumped, with the initial value being the initial reservoir energy at the start of pumping. The unit is MW. This refers to the maximum pumping power of the pumped storage tank, measured in MW. This represents the maximum pumped storage capacity, which is a constant value, and the unit is MW.

[0209] In the above embodiment steps, a mathematical model for the initial operation strategy of the pumped storage power station is defined. The "second residual load" in S41 is the net load that the system still needs to balance after considering the optimized hydropower output. The formula in S42 defines the operating rules of the pumped storage: when the second residual load is positive (load greater than wind, solar, and hydropower output), the system is short of power, and the pumped storage should generate electricity, with a power output of… Subject to three conditions: 1) Not exceeding the power shortage. 2) Not exceeding its maximum power generation capacity 3) Not exceeding the current inventory energy (Converted to power based on energy). When the second residual load is negative (excess power output from wind, solar, and hydropower), the system faces the risk of power curtailment. Pumped storage should be used for energy storage, and its pumping power is the opposite of the positive formula. Pumping power is subject to three conditions: 1) It must not exceed the absolute value of the excess power. 2) Not exceeding the maximum pumping power 3) Not exceeding the remaining storage capacity ( In the formula This reflects the dynamic changes in reservoir energy. This step enables pumped storage to provide a preliminary, rule-based response to the system's remaining unbalanced power.

[0210] Step S5: Propose a heuristic-based method for optimizing the output of pumped storage power stations during unequal periods. This method redistributes the output of pumped storage power stations between two consecutive pumping periods, increasing the output of pumped storage power stations during peak load periods and reducing the output during off-peak periods.

[0211] The heuristic-based pumped storage power station output optimization calculation method described in step S5 includes the following steps:

[0212] Step S51: Traverse the 8760-hour output process of the pumped storage power station, find all consecutive pumping periods with a duration of 2 or more, and record this period set as... .

[0213] Step S52: From the time set Iterate through two consecutive pumping periods. , ,statistics , The cumulative output required during peak hours The cumulative output required at the peak during off-peak and off-peak periods ,

[0214]

[0215]

[0216] Step S53: By adjusting the output of the pumped storage power station during different load periods, the lockout capacity requirements for ultra-high voltage direct current long-distance power transmission are met. Specifically, the priority is given to load off-peak, off-peak, and peak load periods, ensuring that the pumped storage power station does not generate power to meet the lockout capacity. The formula for when the pumped storage power station does not generate power during each load period is shown below.

[0217]

[0218]

[0219]

[0220] In the formula, , , They are respectively , During off-peak hours, off-peak hours, and peak hours, the pumping and storage system accumulates power without releasing energy.

[0221] Step S54: Based on the pumped storage power station time period obtained in step S52 , Increased power output and pumped storage power station time period obtained in step S53 , In cases where there is no cumulative output, priority should be given to meeting the blocking requirements, and the output process of the pumped storage power station should be optimized according to the order of peak load and off-peak load.

[0222] The above embodiment steps reveal the specific application of "unequal time period division" in pumped storage optimization: the optimization unit is not the entire time axis, but a time window between two consecutive pumping periods. Step S51 calculates the gap between the current total system output (wind, solar, hydro, and pumped storage) and the lockout capacity within this window. Step S52 is one of the core innovations; it calculates the power generation potential of pumped storage "that can contribute to meet lockout requirements or shift to peak loads" during different load periods within this window. (Using off-peak periods...) For example, the formula: This is the planned power generation capacity of the pumped storage system at that moment (positive value), and This refers to the portion of the total output of hydropower, wind power, and solar power that exceeds the locked-out capacity. The min function means that the maximum amount of power generation that pumped storage can reduce at a given moment is limited by both its own planned output and the safety constraint that "the total system output must not be lower than the locked-out capacity." Summing over all off-peak periods j yields the total amount of power generation that pumped storage can "save" during off-peak periods within that window. This essentially creates a flexible "output regulation pool" for pumped storage under the closed safety constraints. Step S53 then initiates an iterative algorithm similar to the hydropower optimization logic, but applied to pumped storage and limited to a specific time window, to achieve the final optimization of pumped storage output.

[0223] The pumped storage power station output optimization method described in step S54 is carried out according to the following detailed steps:

[0224] Step S541: Calculation The pumping capacity required to meet the lockout capacity at all times:

[0225]

[0226] Step S542: Reallocate pumping capacity during off-peak hours to prioritize meeting interlocking requirements:

[0227]

[0228]

[0229] In the formula, The updated pumped storage output is expressed in MW. For time period , The value inside represents the sum of pumped storage capacity required to meet the lockout capacity requirement, expressed in MW.

[0230] Step S543: If During periods of low energy expenditure, the pumping system does not release accumulated power. A value greater than 0 can optimize the pumped storage power output process.

[0231] Step S5431: Accumulate power during off-peak hours without releasing it. , The allocation of peak hours is based on the following principle:

[0232]

[0233] Step S5432: Based on the calculation results of step S5431, smooth the pumped storage output during off-peak and off-peak periods, and iteratively calculate the cumulative output of pumped storage during off-peak and off-peak periods. Less than the limit The smoothing principle is as follows:

[0234]

[0235] In the formula, For time period , Number of non-peak and off-peak periods.

[0236] Step S5433: During off-peak hours, the accumulated pumped power is not distributed to off-peak hours. The distribution principle is as follows:

[0237]

[0238] Step S5434: Based on the calculation results of steps S5432 and S5433, smooth the pumped storage output during off-peak periods and iteratively calculate the cumulative non-output power generated during off-peak periods. Less than the limit The smoothing principle is as follows:

[0239]

[0240] In the formula, For time period , Number of periods of low activity.

[0241] Step S544: If During periods of low energy expenditure, the pumping system does not release accumulated power. If the interlocking requirements cannot be met, the pumping capacity during off-peak hours will be reallocated to prioritize meeting the interlocking requirements.

[0242]

[0243]

[0244] Step S545: If During off-peak and off-peak periods, the pumped water will accumulate and not generate power. A value greater than 0 can optimize the pumped storage power output process.

[0245] Step S5451: Distribute the power accumulated during off-peak and low-peak periods to peak periods, according to the following principle:

[0246]

[0247] Step S5452: Based on the calculation results of step S5451, smooth the pumped storage output during off-peak and off-peak periods, and iteratively calculate the cumulative non-output power generated by pumped storage during off-peak and off-peak periods. Less than the limit The smoothing principle is as follows:

[0248]

[0249] Step S546: If During periods of low energy expenditure, the accumulated energy cannot generate power. During off-peak and low-peak periods, the pumped water system accumulates but does not generate power. If neither of these conditions can meet the interlocking requirements, the pumped storage power output during peak and off-peak hours should be reallocated to prioritize meeting the interlocking requirements.

[0250]

[0251]

[0252] In the formula, For time period , Internal locking capacity requirements.

[0253] Smooth out pumped storage output during peak and off-peak periods, and iteratively calculate the cumulative non-output pumped storage output during peak and off-peak periods. Less than the limit The smoothing principle is as follows:

[0254]

[0255] In the formula, For time period , Number of peak hours;

[0256]

[0257] In the formula, The system needs to purchase additional capacity within one year to meet interlocking requirements. For time period set Number.

[0258] The above embodiments provide specific operations for the pumped storage optimization iterative algorithm. Its logic is completely isomorphic to hydropower optimization, but the operational objects and constraints differ. S531 corresponds to the case without a blocking gap: the goal is to transfer the power generation energy that can be saved during off-peak and flat periods from the pumped storage to peak periods within the same time window to better meet peak loads. During the transfer, the new pumped storage power generation output... Limited by: 1) the maximum power generation capacity of pumped storage ;2) The net load gap during this peak period ( ), that is, pumped storage power generation should not exceed the actual power shortage demand; 3) the current planned output plus the total transferable potential. After the transfer is completed, the pumped storage output during the flat and low-peak periods also needs to be smoothed to make the regulation amount tend to be stable. S532 corresponds to the case of a blockage gap. The algorithm will strictly follow the priority of "low-peak -> flat -> peak", and use the "reducible power generation potential" of pumped storage during these periods to increase power generation (or reduce pumping) in order to fill the blockage gap first.

[0259] Based on the above embodiments, in order to more intuitively understand the above-mentioned methods, features and advantages of the present invention, a multi-energy complementary base of water, wind, solar and storage in a certain area of ​​Southwest my country will be used as an example to describe the present invention in detail.

[0260] (1) Basic information about the project

[0261] Taking a multi-energy complementary base of hydropower, wind power, solar power, and energy storage in Southwest China as an example, the base transmits electricity to South China via a single ±800kV DC line. The base includes 3,000MW of existing and planned conventional hydropower capacity, 4,500MW of planned pumped storage power station capacity with a continuous full-capacity utilization of 6 hours, 810MW of wind power capacity, and 20,000MW of photovoltaic capacity.

[0262] (2) Calculate the basic parameters

[0263] Hydropower: Forced output is 900MW, projected output is 3000MW, limit It is 0.01MW;

[0264] Wind power and photovoltaic power: 8760h output process, some data are shown in Table 1;

[0265] Pumped storage: power generation capacity 4500MW, pumping capacity 4500MW, overall efficiency 0.75, initial energy storage 10000MWh;

[0266] Transmission channel: Maximum transmission capacity 10000MW, lockout capacity 1000MW, load factor for each time period is shown in Table 2.

[0267] Table 1. Output Coefficients of Wind Power and Solar Power During Certain Periods

[0268]

[0269] Table 2 Load factor at the receiving end for each time period

[0270]

[0271] (3) Calculate the power output process of the hydropower station

[0272] The initial proposed power output process of hydropower is as follows: Figure 2 As shown, based on the receiving-end load demand, wind and solar power output processes, and channel blocking capacity requirements, while minimizing power curtailment, and constrained by the intraday energy balance and maximum / minimum output of hydropower, the output of hydropower is increased during peak load periods and decreased during off-peak periods. Hydropower output during off-peak and off-peak periods is flexibly controlled. (See...) Figure 3 .

[0273] (4) Calculate the power output process of the pumped storage power station

[0274] Based on the output of hydropower, wind power, and photovoltaic power, and constrained by the power generation and pumping capacity of pumped storage power stations, the energy storage capacity of the power stations, and the energy storage balance of the power stations, pumping occurs when there is power curtailment and the energy storage capacity of the pumped storage power station is not full. The pumping capacity is constrained by the maximum power limit. After meeting the lockout capacity, in order to increase the output of pumped storage during peak load periods, between two consecutive pumping periods, output is first generated during peak load periods when there is demand. If there is still a surplus of energy storage, output is generated during off-peak periods. See [link to relevant documentation]. Figure 4 .

[0275] This application also provides a heuristic simulation computing system for multi-energy complementary operation of water, wind, solar and storage systems, including a processor and a memory;

[0276] Memory, used to store computer programs;

[0277] When a processor executes a program stored in memory, it implements any of the steps described in the heuristic simulation calculation method for multi-energy complementary operation of hydropower, wind power, solar power, and energy storage.

[0278] The aforementioned heuristic simulation calculation system for multi-energy complementary operation of water, wind, solar and storage can realize various embodiments of the aforementioned heuristic simulation calculation method for multi-energy complementary operation of water, wind, solar and storage, and can achieve the same beneficial effects. It will not be elaborated here.

[0279] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A heuristic water, wind, light, and landscape multi-capability complementary operation simulation calculation method, characterized in that, Comprise: S1, based on water landscape storage multi-energy complementary base power structure to obtain base power load demand, water power station expected output process, water power station forced output process, wind power station output process and photovoltaic power station output process; S2, according to the load demand, water power station expected output process, water power station forced output process, wind power station output process and photovoltaic power station output process to calculate the water power station output process; S3, based on the load demand and water power station output process to optimize the output time sequence of water power station, get the optimized water power station output process; S4, based on wind power station output, photovoltaic power station output and optimized water power station output process to calculate the pumping and storage output process of pumped storage power station; S5, based on the generation process and pumping process of pumped storage power station to optimize the pumping and storage output process of pumped storage power station, get the optimized pumping and storage output process of pumped storage power station, and the optimized water power station output process and the optimized pumping and storage output process of pumped storage power station as the optimization calculation result; Among them, in the S3, the output time sequence of water power station is optimized, including: According to the load demand, the total output of the hydropower station in the peak period is calculated , the total output of the hydropower station in the off-peak valley period is calculated , the total output of the hydropower station in the valley period is calculated , and the total output of the hydropower station in the off-peak valley period is calculated ; Determine the ultra high voltage direct current blocking capacity, and adjust the water power station output of peak period, non peak valley period and valley period respectively based on the ultra high voltage direct current blocking capacity, so that the water power station output meets the ultra high voltage direct current blocking capacity; According to the water power station daily required increased output of different periods and the adjusted water power station output of different periods, the water power station output is optimized in the order of peak period, non peak valley period and valley period to obtain the optimized water power station output process under the condition of priority to meet the ultra high voltage direct current blocking capacity. 2.The heuristic water-sky-landscape-pumped multi-capability complementary operation simulation calculation method according to claim 1, characterized in that, In the S2, the water power station output process is calculated, including: calculating a first residual load according to a wind power station output process, a photovoltaic power station output process, and a load demand , calculating to satisfy the following relationship: ； In the formula, is momentary load demand, is momentary wind power station output, is momentary photovoltaic station output; According to the first residual load, water power station expected output and water power station forced output, the water power station output process is calculated, which satisfies the following relationship: ； wherein is the time series of the hydropower plant output, , denote the maximum and minimum, respectively, of the values listed in the brackets, is the hydropower forecast output, is the hydropower forced output; Based on the water power station output process, the water power station daily output process is calculated, which satisfies the following relationship: ； wherein represents the daily processing process of a hydropower plant, represents the summation. 3.The heuristic water-sky-landscape-pumped multi-capability complementary operation simulation calculation method according to claim 1, characterized in that, In the S3, the output time sequence of water power station is optimized, including: According to the load demand, the total output of the hydropower station in the peak period is calculated , the total output of the hydropower station in the off-peak valley period is calculated , the total output of the hydropower station in the valley period is calculated , and the total output of the hydropower station in the off-peak valley period is calculated , to satisfy the following relationship: ； ； ； ； wherein, denotes the peak load demand, denotes the off-peak load demand, denotes the off-peak load demand, is the water power expected output, is the water power forced output, is the is the water power station output process at time, is the is the wind power station output at time, is the is the photovoltaic station output at time, is the is the load demand at time. Determine the ultra high voltage direct current blocking capacity, and adjust the water power station output of peak period, non peak valley period and valley period respectively based on the ultra high voltage direct current blocking capacity, so that the water power station output meets the ultra high voltage direct current blocking capacity, and the adjustment process satisfies the following relationship: ； ； ； In the formula, The minimum transmission power required for extra-high voltage DC, When the peak and valley period is completely reduced to forced output. According to the water power station daily required increased output of different periods and the adjusted water power station output of different periods, the water power station output is optimized in the order of peak period, non peak valley period and valley period to obtain the optimized water power station output process under the condition of priority to meet the ultra high voltage direct current blocking capacity. 4.The heuristic water, wind, light, and landscape multi-capability complementary operation simulation calculation method according to claim 3, characterized in that, Optimize the water power station output, including: Computing The water and electricity output that meets the increased lock capacity at the time is calculated to satisfy the following relationship: ； In the formula, is the water and electricity output that needs to be increased to meet the locking capacity at the moment, is the minimum transmission power required by the ultra-high voltage direct current, is the wind power output, is the photovoltaic output, is the water power station output process at the moment On the premise of meeting the blocking capacity requirement, the valley period water power station output is redistributed, which satisfies the following relationship: ； ； In the formula, is the updated hydroelectric power output process, is is the hydroelectric power output process at the moment, is the hydroelectric power expected output, is the hydroelectric power forced output, is the total hydroelectric power that can be reduced during the low valley period, is the sum of the hydroelectric power that needs to be increased within 24 hours to meet the blocking capacity. If , then the low valley period reduces the output , the non-peak period hydropower station reduces the total output , is allocated to the peak period, and the allocation to the peak period satisfies the following relationship: ； wherein, denotes the peak load demand, is the wind power station output at time t, is the photovoltaic station output at time t, is the total reduced hydropower station output during off-peak hours, is the load demand at time t. Based on the result of the allocation to the peak period, the off-peak valley period hydropower station output is smoothed, and the off-peak valley period hydropower station total output is iteratively calculated Less than limit The smoothed off-peak valley period hydropower station output satisfies the following relationship: ， ； In the formula, is the number of off-peak valley periods in 24 hours, is the load demand at the moment, is the load demand in off-peak valley periods; The total output of valley period water power station is allocated to non peak valley period, which satisfies the following relationship: ， ； Based on the result of the allocation to the off-peak valley period, the output of the hydropower station in the valley period is smoothed, and the total output of the hydropower station in the valley period is iteratively calculated Less than limit The smoothed output of the hydropower station in the valley period satisfies the following relationship: ， ； In the formula, is the number of low periods in 24 hours, is the load demand in the low period. If The low valley period reduces the output The lock demand cannot be met, and the off-peak low valley period hydroelectric output is redistributed to meet the lock demand. The off-peak low valley period hydroelectric output satisfies the following relationship: ； ； If , then reduce output during off-peak valley period > 0, then reduce total output of hydropower station during off-peak valley period and distribute to peak period, and the distribution to peak period satisfies the following relationship: ； In the formula, The sum of the increased hydropower output to meet the UHVDC blocking capacity is still needed after the hydropower output in the off-peak valley period is redistributed within 24 hours. Based on the result of distribution to the peak time, the off-peak valley period hydropower station output is smoothed, and the off-peak valley period hydropower station total output is iteratively calculated Less than limit The smoothed off-peak valley period hydropower station output satisfies the following relationship: ， ； If , the off-peak valley period reduces the output , the off-peak valley period reduces the output , the off-peak valley period reduces the output ； In the formula, is completely reduced to the forced power during peak and off-peak hours Smooth the output of the hydropower station in peak and valley period, and iteratively calculate the total output reduction of the hydropower station in peak and valley period Less than limit The output of the hydropower station in peak and valley period satisfies the following relationship: ， ； In the formula, is the number of peak hours in 24 hours. 5.The heuristic water-sky-landscape-pumped multi-capability complementary operation simulation calculation method according to claim 1, wherein, In the step S4, the pumping and storage output process of pumped storage power station is calculated, including: According to the water power output process, the wind power output process, and the photovoltaic output process, a second residual load is calculated , and a relationship is calculated ； In the formula, is momentary load demand, is momentary wind power station output, is momentary photovoltaic station output, is the updated hydropower station output; According to the second residual load In relation to 0, the pumped storage output is calculated, and the pumped storage output satisfying the following relational expression is calculated: ； ； In the formula, is the maximum generating power of the pumped storage power station, is the maximum generating power of the pumped storage power station, is the initial value of the pumped storage reservoir energy at the initial time, is the pumped storage reservoir energy at the initial time, is the maximum pumping power of the pumped storage power station, is the maximum pumping power of the pumped storage power station, is the maximum pumped storage reservoir energy. 6.The heuristic water-sky-landscape-pumped multi-capability complementary operation simulation calculation method according to claim 1, characterized in that, In the step S5, the output process of pumped storage power station is optimized, including: The 8760h output process of the pumped storage power station is traversed to find all continuous pumping time periods with a time period number greater than or equal to 2, and the time period set is recorded as ; from the set of time periods two consecutive pumping time periods , , count , , the cumulative output required for the peak of the peak time period , the cumulative output required for the peak of the off-peak low time period , count the cumulative output required for the peak of the peak time period , the cumulative output required for the peak of the off-peak low time period , count the cumulative output required for the peak of the peak time period , the cumulative output required for the peak of the off-peak low time period , count the cumulative output required for the peak of the peak time period , the cumulative output ； ； wherein is the cumulative peak power required for the peak hours, is the cumulative peak power required for the off-peak hours, is the pumped storage power process of the pumped storage power station, is is the load demand at time t, denotes the load demand for the peak hours, denotes the load demand for the off-peak hours. By adjusting the output of the pumped storage power station in different load periods to meet the blocking capacity requirement of the UHV DC long distance power transmission, the pumped storage power station does not emit power in each load period, and the following formula is obtained: ； ； ； In the formula, , , respectively , accumulated output of pumped storage during low valley period, non-peak valley period, peak period, is output of wind power station at time t, is output of photovoltaic station at time t, is output process of hydropower station at time t, represents load demand during low valley period, is minimum transmission power required by UHVDC; According to the pumped storage power station time period , According to the pumped storage power station time period , According to the pumped storage power station time period , According to the pumped storage power station time period , in the case of not issuing cumulative output, in the case of priority to meet the ultra-high voltage DC blocking capacity, the pumped storage power station output is optimized in the order of peak period, non-peak valley period, and valley period to obtain the optimized pumped storage power station pumped storage output process. 7.The heuristic water-air-sight-energy multi-capability complementary operation simulation calculation method according to claim 6, characterized in that, The output of the pumped storage power station is optimized, including: Calculation The time is the increased pumping and storage output to meet the lock capacity, calculate to meet the following relationship: ； On the premise of meeting the blocking capacity requirement, the pumped storage output in the low valley period is redistributed, and the following relationship is met: ； ； In the formula, is the updated pumped storage output, is the time period , is the sum of the pumped storage outputs that need to be increased to meet the lockout capacity. If , then the low valley period pumped storage does not generate cumulative output greater than 0, at this time the non-peak period pumped storage does not generate cumulative output , is allocated to the peak period, and the allocation to the peak period satisfies the following relationship: ； Based on the result of the allocation to the peak period, the pumped storage output in the off-peak valley period is smoothed, and the pumped storage non-accumulative output in the off-peak valley period is iteratively calculated Less than limit The pumped storage off-peak valley period smoothing process satisfies the following relationship: ， ； The accumulated non-emission power of the pumped storage in the low valley period is allocated to the non-peak low valley period, and the following relationship is met: ， ； The iterative calculation of the low valley period pumping storage cumulative non-discharge power is based on the result smoothing of the low valley period pumping storage output allocated to the non-peak low valley period Less than limit The smoothing low valley period pumping storage output satisfies the following relationship: ， ； In the formula, is a time period , number of low periods If The low valley period pumping storage does not accumulate output The lock demand cannot be met, and the non-peak low valley period pumping storage output is redistributed to meet the lock demand, and the redistribution meets the following relationship: ； ； If , the accumulated pumped storage power during off-peak valley period is not dispatched greater than 0, the accumulated pumped storage power during off-peak valley period is allocated to the peak period, and the allocation to the peak period satisfies the following relationship: ； The non-peak valley period pumping and storage output is iteratively calculated based on the results of the allocation to the peak period Less than limit The smoothed non-peak valley period pumping and storage output satisfies the following relationship: ， ； If , the low valley period pumping storage accumulation does not emit power , non-peak low valley period pumping storage accumulation does not emit power , cannot meet the lock requirement, re-distribute peak and low valley period pumping storage output, priority to meet the lock requirement, ； ； In the formula, is a time period , internal lock capacity requirement; Smooth peak valley period pumping output, iterative calculation of peak valley period pumping cumulative not to send power Less than limit The smoothing principle is as follows: ， ； In the formula, is the time period , the number of peak periods ； In the formula, The system needs to purchase capacity to meet the lockout within a year, The time period set is The number.

8. A heuristic water, wind, light, and landscape multi-capability complementary operation simulation calculation system, characterized in that, The processor, the memory; The memory is used to store the computer program; The processor is used to execute the program stored on the memory, and the method steps of any one of claims 1-7 are realized.

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