Method and equipment for calculating maximum power of photovoltaic power station

Abstract

The invention provides a method and equipment for calculating the maximum power of a photovoltaic power station. The method comprises the following steps: acquiring a first capacity, a second capacity and an instruction limit value; acquiring a scheduling instruction; obtaining the total actual power and the third number of the template machines according to the scheduling instruction; the scheduling instruction is compared with the first capacity, and when the scheduling instruction is smaller than the first capacity, the rated capacity of the template machine is the first capacity, the first instruction is the scheduling instruction, and the first instruction is larger than the lower limit of the total instruction of the template machine; otherwise, the first instruction is the first capacity, the dispatching instruction is compared with the instruction limit value, and when the dispatching instruction is larger than the instruction limit value, the rated capacity of the template machine is obtained according to the third number; otherwise, the rated capacity of the template machine is the first capacity; and obtaining the maximum power of the photovoltaic power station according to the total actual power of the template machine, the rated capacity of the template machine and the second capacity. The method can improve the calculation accuracy of the maximum power, reduces the light abandoning rate, enlarges the controllable range of the power, and is wide in application range.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power stations, and in particular to a method and device for calculating the maximum power that can be generated by a photovoltaic power station. Background Art

[0002] With the rapid development of science and technology, the importance of energy has become increasingly obvious. In the development of science and technology, the most indispensable thing is electricity. Therefore, the global demand for electricity is increasing. The traditional power generation method generates heat energy from the combustion of fossil energy such as coal and oil and then transfers it to electricity. Although the conversion efficiency has been greatly improved with the continuous development and improvement of thermal power technology, the harmful gases generated during the combustion of fossil energy are discharged into the atmosphere, which seriously pollutes the atmospheric environment and aggravates the greenhouse effect. Although my country has taken a series of measures in recent years to reduce the impact of fossil energy combustion on the environment, it cannot fundamentally solve this problem. Therefore, my country urgently needs a clean energy to replace traditional fossil energy, reduce air pollution, and improve people's quality of life. Under this background, new energy has become one of the effective solutions to this problem. New energy usually uses clean energy such as solar energy, wind energy, and tidal energy to convert them into electricity that can be used by people through a series of conversions. It is widely used because of its clean and renewable advantages. At the same time, in order to promote the development of new energy, the country has introduced a series of policies to promote the rapid development of new energy.

[0003] my country is a vast country with abundant natural resources, especially in North China and Northwest my country. However, due to current technical limitations, energy use shows peak characteristics in the morning and evening, while wind and solar energy show anti-peak characteristics, and the global utilization rate of natural resources is not very high. As a pollution-free, renewable and clean energy, solar energy has become an ideal choice for sustainable development. However, with the development of solar power generation technology in recent years, the installed capacity of a single station has become larger and larger, but its randomness and volatility have an increasing impact on the power grid. To solve this problem, my country has shown a trend of joint power generation of multiple clean energy sources. Through the complementary power generation of multiple clean energy sources, the impact of clean energy fluctuations on the power grid can be reduced to a certain extent.

[0004] In the clean energy joint power generation system, instructions are usually assigned according to the power generation boundary of each clean energy. As the installed capacity of a single photovoltaic power station increases, the accuracy of the power generation boundary of the photovoltaic power station (the maximum power generation of the photovoltaic power station) becomes particularly important. If it is too high, the actual power generation of the entire power generation system will be too low, affecting the power generation. If it is too low, the power generation of the photovoltaic power station will be too low, reducing the photovoltaic consumption. Therefore, obtaining the accurate maximum power generation of the photovoltaic power station is one of the effective ways to improve photovoltaic consumption and increase the power generation of the clean energy joint power generation system.

[0005] In recent years, in response to my country's green environmental protection policy, my country's solar energy installed capacity has been increasing, and the installed capacity of a single station has also been increasing, which has brought great challenges to the AGC system of photovoltaic power stations. In order to accurately track the dispatching instructions, photovoltaic power stations need to obtain accurate real-time maximum information on photovoltaic power stations. The traditional maximum is estimated by the model machine algorithm. By not limiting the power of a photovoltaic inverter in a district, and then estimating the maximum photovoltaic power generation of the entire district according to its installed capacity and the installed capacity of the entire district, the maximum photovoltaic power generation of the photovoltaic power station is finally obtained. This makes the maximum power generation of the photovoltaic power station more accurate with the number of model machines, while the traditional model machine algorithm does not limit the power of the model machine, so that the photovoltaic station cannot limit the power to zero when the power is limited, so that the photovoltaic power station has a certain unadjustable range, affecting the regulation performance of the photovoltaic power station. Therefore, the state has issued a national standard that the capacity of the model machine of the photovoltaic power station cannot exceed 10% of the installed capacity of the photovoltaic power station. In order to reduce the number of prototypes and prevent the problem of the maximum power generation of photovoltaic power stations being inflated, some people have proposed to solve this problem by multiplying the maximum power generation of photovoltaic power stations by a coefficient less than 1. Although this method can solve the problem of the maximum power generation of photovoltaic power stations being inflated, it will also increase the abandonment rate of photovoltaic power stations. Summary of the invention

[0006] In view of the problems existing in the prior art, the present invention provides a method for calculating the maximum power that can be generated by a photovoltaic power station, which improves the confidence level of the maximum power that can be generated by the photovoltaic power station, reduces the abandonment rate of the photovoltaic power station, and improves the instruction tracking accuracy of the photovoltaic power station. At the same time, a power limiting method for model machines of a photovoltaic power station is proposed, that is, when the scheduling instruction is low, the number of model machines is reduced, and the power of the model machines can be limited, thereby increasing the adjustment range of the entire photovoltaic power station, and realizing the power limiting operation of the photovoltaic power station within the curve from 0 to the maximum power that can be generated.

[0007] To achieve the above object, the technical solution adopted by the present invention is as follows: A method for calculating the maximum power that can be generated by a photovoltaic power station comprises the following steps:

[0008] Obtain a first quantity, a second quantity, a first installed capacity, a second installed capacity and an instruction limit; the first quantity is the minimum number of sample machines in a photovoltaic power station, the second quantity is the number of inverters installed in a photovoltaic power station, the first installed capacity is the installed capacity of a single sample machine in a photovoltaic power station, and the second installed capacity is the installed capacity of a single inverter in a photovoltaic power station;

[0009] A first capacity is obtained according to the first quantity and the first installed capacity, and a second capacity is obtained according to the second quantity and the second installed capacity; the first capacity is the rated capacity of the model unit when the photovoltaic power station has the minimum number of model units; the second capacity is the total installed capacity of the inverter of the photovoltaic power station;

[0010] Get scheduling instructions;

[0011] Obtaining the actual power transmission of a single model machine and a third number according to the scheduling instruction, wherein the third number is the number of model machines participating in the actual power transmission;

[0012] Performing a first comparison between the scheduling instruction and the first capacity, and obtaining a first comparison result according to the first comparison;

[0013] When the first comparison result is that the dispatch instruction is less than the first capacity: the rated capacity of the model machine is the first capacity, the first instruction is the dispatch instruction, and the first instruction is greater than the lower limit of the total instruction of the model machine; the first instruction is the total instruction of the model machine participating in the allocation;

[0014] Otherwise: the first instruction is the first capacity, and a second comparison is performed between the scheduling instruction and the instruction limit, and a second comparison result is obtained according to the second comparison;

[0015] When the second comparison result is that the dispatch instruction is greater than the instruction limit, the rated capacity of the model machine is obtained according to the third quantity and the first installed capacity; otherwise: the rated capacity of the model machine is the first capacity;

[0016] Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine;

[0017] The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

[0018] Further, when the first comparison result is that the dispatch instruction is smaller than the first capacity, the maximum power that can be generated by the photovoltaic power station is obtained according to a first algorithm.

[0019] Furthermore, the first algorithm comprises the following steps:

[0020] The rated capacity of the sample machine is the first capacity;

[0021] The first instruction is the scheduling instruction, and the first instruction is greater than the lower limit of the total instructions of the sample machine;

[0022] Obtaining the actual power of a single sample machine and the third quantity;

[0023] Obtaining the total actual power of the sample machine according to the third number and the actual power of the single sample machine;

[0024] The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

[0025] Furthermore, when the first comparison result is that the dispatch instruction is not less than the first capacity and less than the instruction limit, the maximum power that can be generated by the photovoltaic power station is obtained according to a second algorithm.

[0026] Furthermore, the second algorithm comprises the following steps:

[0027] The rated capacity of the sample machine is the first capacity;

[0028] The first instruction is the first capacity;

[0029] Obtaining the actual power of a single sample machine and the third quantity;

[0030] Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine;

[0031] The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

[0032] Further, the instruction limit value includes a first instruction limit value and a second instruction limit value, and the first instruction limit value is smaller than the second instruction limit value;

[0033] When the second comparison result is that the dispatch instruction is not less than the first instruction limit and less than the second instruction limit, obtaining the maximum power that can be generated by the photovoltaic power station according to a third algorithm;

[0034] When the second comparison result is that the dispatch instruction is not less than the second instruction limit value, the maximum power that can be generated by the photovoltaic power station is obtained according to a fourth algorithm.

[0035] Furthermore, the third algorithm comprises the following steps:

[0036] The first instruction is the first capacity;

[0037] Obtaining a first increase number, where the first increase number is the difference between the number of sample machines in the photovoltaic power station and the minimum number of sample machines in the photovoltaic power station;

[0038] Obtaining a fourth quantity according to the sum of the first quantity and the first increased quantity;

[0039] The third quantity is equal to the fourth quantity;

[0040] Get the actual power of a single sample machine;

[0041] Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine;

[0042] Obtaining the rated capacity of the sample machine according to the third quantity and the first installed capacity;

[0043] The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

[0044] Furthermore, the fourth algorithm comprises the following steps:

[0045] The first instruction is the first capacity;

[0046] Obtaining a second increase quantity, where the second increase quantity is the quantity of sample machines added to the photovoltaic power station;

[0047] Obtaining a fifth quantity according to the sum of the fourth quantity and the second increased quantity;

[0048] The third quantity is equal to the fifth quantity;

[0049] Get the actual power of a single sample machine;

[0050] Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine;

[0051] Obtaining the rated capacity of the sample machine according to the third quantity and the first installed capacity;

[0052] The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

[0053] Furthermore, a second instruction is obtained according to the scheduling instruction and the total actual power generated by the model machine, and the second instruction is a total instruction for the inverter to participate in the allocation.

[0054] A device for implementing the method for calculating the maximum power that can be generated by a photovoltaic power station, comprising a data receiving module, a comparison module, a decision module and a calculation module;

[0055] The data receiving module:

[0056] used to obtain the first quantity, the second quantity, the first installed capacity, the second installed capacity and the instruction limit;

[0057] Used to send a first comparison signal to the comparison module when obtaining the scheduling instruction;

[0058] Used to obtain the actual power of the single sample machine and the third quantity after obtaining the scheduling instruction;

[0059] The comparison module:

[0060] for performing a first comparison between the scheduling instruction and the first capacity according to the first comparison signal, and obtaining a first comparison result according to the first comparison;

[0061] for performing a second comparison between the scheduling instruction and the instruction limit value according to a second comparison signal, and obtaining a second comparison result according to the second comparison;

[0062] Used to send the first comparison result or the second comparison result to the decision module;

[0063] The decision module:

[0064] for obtaining a first decision when the first comparison result is that the scheduling instruction is less than the first capacity, and sending the first decision to the calculation module, wherein the first decision is that the rated capacity of the model machine is the first capacity, the first instruction is the scheduling instruction, and the first instruction is greater than the lower limit of the total instruction of the model machine;

[0065] for sending a second comparison signal to the comparison module when the first comparison result is that the scheduling instruction is not less than the first capacity;

[0066] for obtaining a second decision when the second comparison result is that the dispatch instruction is greater than the instruction limit, and sending the second decision to the calculation module; the second decision is that the first instruction is the first capacity, and the rated capacity of the model machine is obtained according to the third number and the first installed capacity;

[0067] for obtaining a third decision when the second comparison result is that the scheduling instruction is not greater than the instruction limit, and sending the third decision to the calculation module; the third decision is that the rated capacity of the sample machine is the first capacity;

[0068] The computing module:

[0069] for obtaining a first capacity according to the first quantity and the first installed capacity;

[0070] for obtaining a second capacity according to the second number and the second installed capacity;

[0071] Used to obtain the total actual power of the model machine according to the actual power of the single model machine and the third number;

[0072] for obtaining a rated capacity of a sample machine according to the third quantity and the first installed capacity based on the second decision or the third decision;

[0073] Used to obtain the maximum power that can be generated by the photovoltaic power station based on the first decision, the second decision or the third decision, according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

[0074] Compared with the prior art, the present invention has the following beneficial effects:

[0075] The present invention improves the accuracy of the maximum power calculation of a photovoltaic power station by increasing the number of model machines, thereby achieving accurate tracking of large instructions of the photovoltaic power station and reducing the abandonment rate of the photovoltaic power station; the power controllable range of the photovoltaic power station is increased by limiting the output of the model machine; the present invention can be applied to all photovoltaic power stations and has a wide range of applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a schematic diagram of the flow chart of the method for calculating the maximum power that can be generated by a photovoltaic power station according to the present invention;

[0077] Figure 2 This is the effect diagram of the simulation test of the maximum power that can be generated by a photovoltaic power station using the traditional sample machine algorithm;

[0078] Figure 3 This is a simulation test effect diagram of the maximum power calculation method of a photovoltaic power station according to an embodiment of the present invention;

[0079] Figure 4 Schematic diagram of signal transmission relationship of devices in an embodiment of the present invention. DETAILED DESCRIPTION

[0080] In order to clearly illustrate the technical features of this solution, this solution is described below through a specific implementation method.

[0081] See also Figure 1 , an embodiment of the present invention provides a method for calculating the maximum power that can be generated by a photovoltaic power station, comprising the following steps: obtaining a first quantity, a second quantity, a first installed capacity, a second installed capacity and an instruction limit; the first quantity is the minimum number of sample machines in the photovoltaic power station, the second quantity is the number of inverters installed in the photovoltaic power station, the first installed capacity is the installed capacity of a single sample machine in the photovoltaic power station, and the second installed capacity is the installed capacity of a single inverter in the photovoltaic power station;

[0082] A first capacity is obtained according to the first quantity and the first installed capacity, and a second capacity is obtained according to the second quantity and the second installed capacity; the first capacity is the rated capacity of the model machine when the photovoltaic power station has the minimum number of model machines; the second capacity is the total installed capacity of the inverter of the photovoltaic power station;

[0083]

[0084] In the formula, MODPV Cap_min is the rated capacity of the model unit when the minimum number of model units in the photovoltaic power station is equal to the first capacity, n is the minimum number of model units in the photovoltaic power station, equal to the first quantity, i is the model unit serial number, MODPV Cap (i) is the installed capacity of the i-th model unit in the photovoltaic power station;

[0085]

[0086] In the formula, MODPV Cap _all is the total installed capacity of the inverters in the photovoltaic power station, that is, the second capacity, m is the number of installed inverters in the photovoltaic power station, that is, the second quantity, j is the inverter serial number, MODPV C ' ap (j) is the installed capacity of the jth inverter in the photovoltaic power station;

[0087] Obtaining a dispatch instruction, where the dispatch instruction is a dispatch instruction received by the photovoltaic power station;

[0088] Obtaining the actual power and the third quantity of a single model machine according to the scheduling instruction, where the third quantity is the number of model machines participating in the actual power transmission;

[0089] Performing a first comparison between the scheduling instruction and the first capacity, and obtaining a first comparison result according to the first comparison;

[0090] When the first comparison result is that the dispatch instruction is less than the first capacity: the rated capacity of the model machine is the first capacity, the first instruction is the dispatch instruction, and the first instruction is greater than the lower limit of the total instruction of the model machine; the first instruction is the total instruction of the model machine participating in the allocation;

[0091] Otherwise: the first instruction is the first capacity, and the scheduling instruction is compared with the instruction limit for a second time, and a second comparison result is obtained according to the second comparison;

[0092] When the second comparison result is that the dispatch instruction is greater than the instruction limit, the rated capacity of the model machine is obtained according to the third quantity and the first installed capacity; otherwise: the rated capacity of the model machine is the first capacity;

[0093] Obtaining the total actual power of the sample machine according to the third quantity and the actual power of a single sample machine;

[0094] The maximum power that can be generated by the photovoltaic power station is obtained based on the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

[0095] The dispatching instruction is compared with the first capacity, i.e., the rated capacity of the model machine when the minimum number of model machines of the photovoltaic power station is the first. If the dispatching instruction is lower than the first capacity, the output of the model machine is limited, i.e., the third number is less than the minimum number of model machines, the first instruction, i.e., the total instruction of the model machine participating in the allocation is equal to the dispatching instruction, and the total instruction of other inverters participating in the allocation, i.e., the second instruction, is equal to the dispatching instruction minus the total actual power of the model machine. At this time, the rated capacity of the model machine is set to the first capacity;

[0096] When the dispatch instruction is not lower than the first capacity, the first instruction is the first capacity. At the same time, a second comparison is required, that is, comparing the dispatch instruction with the instruction limit to determine whether the dispatch instruction reaches the instruction limit. The instruction limit is the rated capacity of the model machine after the photovoltaic power station increases the number of model machines (on the basis of the minimum number of model machines). If the dispatch instruction is higher than the instruction limit, the rated capacity of the model machine is obtained based on the third number and the first installed capacity. Otherwise, the rated capacity of the model machine is the first capacity.

[0097] The number of photovoltaic power station panels increases with the increase of dispatch instructions. When the dispatch instruction is high, the number of model panels is increased to obtain the accurate maximum power that the photovoltaic power station can generate. This can increase the instruction tracking accuracy of the photovoltaic power station and reduce the abandonment rate of the photovoltaic power station. When the dispatch instruction is low, the number of model panels is reduced. At the same time, in order to solve the problem of uncontrollable model panels, when the dispatch instruction is lower than the first capacity, the output of the model panel is limited to increase the active power control range of the photovoltaic power station.

[0098] When the first comparison result is that the scheduling instruction is less than the first capacity, SET cmd <MODPV Cap _min, where SET cmd The maximum power that can be generated by the photovoltaic power station is obtained according to the first algorithm for scheduling instructions. The first algorithm is a model machine output limit algorithm. The first algorithm includes the following steps:

[0099] The rated capacity of the sample machine is the first capacity: MODPV Cap =MODPV Cap _min, where MODPV Cap It is the rated capacity of the sample machine;

[0100] The first instruction is the scheduling instruction, namely MODPV cmd =SET cmd , where, MODPV cmd The total instruction for the model machine to participate in the allocation is the first instruction, and the first instruction is greater than the lower limit of the total instruction of the model machine. In order to prevent the total instruction of the model machine of the photovoltaic power station from being limited to 0 the day before, and the model machine of the photovoltaic power station cannot be started normally the next day, so that the maximum power that the photovoltaic power station can generate throughout the day is 0, the lower limit of the total instruction of the model machine is set;

[0101] Obtain the actual power of a single model machine and the third number, where the third number is equal to the number of model machines after the model machine is limited;

[0102] Obtaining the total actual power of the sample machine according to the third quantity and the actual power of a single sample machine;

[0103]

[0104] In the formula, MODPV act is the total actual power of the model machine, l is the number of model machines participating in the actual power generation, that is, the third quantity;

[0105] The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the sample machine, the rated capacity of the sample machine and the second capacity. The maximum power that can be generated by the photovoltaic power station is:

[0106]

[0107] According to the dispatching instruction and the total actual power of the sample machine, the second instruction, i.e. the total instruction for the inverter to participate in the distribution, is obtained:

[0108] PV cmd =SET cmd -MODPV act ;

[0109] Where, PV cmd Total instructions for the inverter to participate in the distribution.

[0110] When the first comparison result is that the dispatch instruction is not less than the first capacity and less than the instruction limit: MODPV Cap _min<SET cmd <MODPV_lin, where MODPV_lin is the instruction limit value, and the maximum power that can be generated by the photovoltaic power station is obtained according to the second algorithm. Preferably, the instruction limit value MODPV_lin includes a first instruction limit value MODPV_lin1 and a second instruction limit value MODPV_lin2, and the first instruction limit value is less than the second instruction limit value. The first instruction limit value is the current installed capacity of the model machine of the photovoltaic power station, and the second instruction limit value is the installed capacity of the model machine after the photovoltaic power station adds the model machine. At this time, the condition for triggering the second algorithm is: MODPV Cap _min≤SET cmd <MODPV_lin1.

[0111] The second algorithm includes the following steps:

[0112] The rated capacity of the sample machine is the first capacity: MODPV Cap =MODPV Cap _min;

[0113] The first instruction is the first capacity, i.e., MODPV cmd = MODPV Cap _min;

[0114] Obtain the actual output power of a single sample machine and the third quantity; obtain the total actual output power of the sample machines based on the third quantity and the actual output power of a single sample machine,

[0115] Obtain the maximum available power of the photovoltaic power station based on the total actual output power of the sample machines, the rated capacity of the sample machines, and the second capacity. The maximum available power of the photovoltaic power station is:

[0116]

[0117] Obtain the second instruction, i.e., the total instruction for the inverter to participate in the distribution, based on the dispatching instruction and the total actual output power of the sample machines:

[0118] PV cmd = SET cmd - MODPV act .

[0119] When the second comparison result is that the dispatching instruction is not less than the first instruction limit value and less than the second instruction limit value, obtain the maximum available power of the photovoltaic power station according to the third algorithm; that is, when MODPV_lin1 ≤ SET cmd < MODPV_lin2, the third algorithm includes the following steps:

[0120] The first instruction is the first capacity, i.e., MODPV cmd = MODPV Cap _min;

[0121] Obtain the first increased quantity k1; the first increased quantity is the difference between the number of sample machines in the photovoltaic power station and the minimum number of sample machines in the photovoltaic power station;

[0122] Obtain the fourth quantity num1 according to the sum of the first quantity n and the first increased quantity k, num1 = n + k1;

[0123] The third quantity is equal to the fourth quantity;

[0124] Obtain the actual output power of a single sample machine;

[0125] Obtain the total actual output power of the sample machines based on the third quantity and the actual output power of a single sample machine;

[0126]

[0127] Obtain the rated capacity of the sample machines based on the third quantity and the first installed capacity;

[0128]

[0129] The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the sample machine, the rated capacity of the sample machine and the second capacity. The maximum power that can be generated by the photovoltaic power station is:

[0130]

[0131] According to the dispatching instruction and the total actual power of the sample machine, the second instruction, i.e. the total instruction for the inverter to participate in the distribution, is obtained:

[0132] PV cmd =SET cmd -MODPV act .

[0133] When the second comparison result is that the dispatch instruction is not less than the second instruction limit, the maximum power that can be generated by the photovoltaic power station is obtained according to the fourth algorithm. The fourth algorithm includes the following steps:

[0134] The first instruction is the first capacity, that is, MODPV cmd =MODPV Cap _min;

[0135] Obtain a second increase quantity k2, where the second increase quantity is the number of sample machines added to the photovoltaic power station;

[0136] A fifth number num2 is obtained according to the sum of the fourth number and the second increased number, num2=num1+k2;

[0137] The third quantity is equal to the fifth quantity;

[0138] Get the actual power of a single sample machine;

[0139] Obtaining the total actual power of the sample machine according to the third quantity and the actual power of a single sample machine;

[0140]

[0141] Obtaining a rated capacity of the prototype machine according to the third quantity and the first installed capacity;

[0142]

[0143] The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the sample machine, the rated capacity of the sample machine and the second capacity. The maximum power that can be generated by the photovoltaic power station is:

[0144]

[0145] According to the dispatching instruction and the total actual power of the sample machine, the second instruction, i.e. the total instruction for the inverter to participate in the distribution, is obtained:

[0146] PV cmd =SETcmd -MODPV act .

[0147] Figure 2 The maximum power curve of the photovoltaic power station using the traditional sample machine algorithm, as well as the actual active power generation of the photovoltaic power station and the command setting value of the photovoltaic power station. From the curve, it can be seen that in the interval of 2s to 3s, the maximum power generation of the photovoltaic power station fluctuates around 70MW, at which time the command setting value of the photovoltaic power station is around 65MW, and the final active power generation of the photovoltaic power station is 60MW, which is too large. This makes the actual power generation of the photovoltaic power station unable to track the command setting value of the photovoltaic power station when the command setting value of the photovoltaic power station is allocated according to the maximum power generation of the photovoltaic power station, resulting in tracking deviation of the photovoltaic power station, which affects the power generation of the combined power generation system.

[0148] Figure 3 The simulation experiment is carried out using the maximum power calculation method of the photovoltaic power station proposed in this embodiment. Figure 3 It can be seen from the curve that during the whole process, the actual value of the photovoltaic power station command, the actual active power of the photovoltaic power station and the maximum power that can be generated by the photovoltaic power station are unified, and the maximum actual power generated is increased by nearly 10% on the original basis. From the curve simulation experiment, it can be obtained that by increasing the number of sample machines, the accuracy of the maximum power that can be generated by the photovoltaic power station can be effectively improved. When the command is allocated with a more accurate maximum power that can be generated by the photovoltaic power station, the control accuracy of the photovoltaic power station can be improved, the abandonment rate of the photovoltaic power station can be reduced, and the command tracking accuracy of the entire power generation system can be improved.

[0149] A device for realizing a method for calculating the maximum power that can be generated by a photovoltaic power station, comprising a data receiving module, a comparison module, a decision module and a calculation module;

[0150] Data receiving module:

[0151] Used to obtain the first quantity, the second quantity, the first installed capacity, the second installed capacity and the instruction limit;

[0152] Used to send a first comparison signal to the comparison module when obtaining a scheduling instruction;

[0153] Compare modules:

[0154] Used to perform a first comparison between the scheduling instruction and the first capacity according to the first comparison signal, and obtain a first comparison result according to the first comparison;

[0155] Used to perform a second comparison between the scheduling instruction and the instruction limit according to the second comparison signal, and obtain a second comparison result according to the second comparison;

[0156] Used to send the first comparison result or the second comparison result to the decision module;

[0157] Decision module:

[0158] When the first comparison result is that the scheduling instruction is less than the first capacity, a first decision is obtained, and the first decision is sent to the calculation module, the first decision is that the rated capacity of the model machine is the first capacity, the first instruction is a scheduling instruction, and the first instruction is greater than the lower limit of the total instruction of the model machine, and a third quantity is obtained, and the third quantity is less than the first quantity;

[0159] for sending a second comparison signal to the comparison module when the first comparison result is that the scheduling instruction is not less than the first capacity;

[0160] When the second comparison result is that the dispatch instruction is greater than the instruction limit, a second decision is obtained, and the second decision is sent to the calculation module, the second decision is that the first instruction is the first capacity, a third quantity is obtained, the third quantity is greater than the minimum number of model machines, and the rated capacity of the model machine is obtained according to the third quantity and the first installed capacity;

[0161] When the second comparison result is that the scheduling instruction is not greater than the instruction limit, a third decision is obtained, and the third decision is sent to the calculation module, the third decision is that the rated capacity of the model machine is the first capacity, and a third quantity is obtained, and the third quantity is equal to the minimum number of model machines;

[0162] Compute module:

[0163] for obtaining a first capacity according to the first quantity and the first installed capacity;

[0164] for obtaining a second capacity according to the second quantity and the second installed capacity;

[0165] Used to obtain the total actual power generated by the model machine according to the third quantity based on the first decision, the second decision or the third decision, and to obtain the maximum power that can be generated by the photovoltaic power station according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

[0166] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than to limit the scope of protection of the present invention. Simple modifications or equivalent substitutions of the technical solution of the present invention by ordinary technicians in this field do not deviate from the essence and scope of the technical solution of the present invention.

Claims

1. A method for calculating the maximum power that can be generated by a photovoltaic power station, characterized in that: The following steps are involved: Obtain a first quantity, a second quantity, a first installed capacity, a second installed capacity and an instruction limit; the first quantity is the minimum number of sample machines in a photovoltaic power station, the second quantity is the number of inverters installed in a photovoltaic power station, the first installed capacity is the installed capacity of a single sample machine in a photovoltaic power station, and the second installed capacity is the installed capacity of a single inverter in a photovoltaic power station; A first capacity is obtained according to the first quantity and the first installed capacity, and a second capacity is obtained according to the second quantity and the second installed capacity; the first capacity is the rated capacity of the model unit when the photovoltaic power station has the minimum number of model units; the second capacity is the total installed capacity of the inverter of the photovoltaic power station; Get scheduling instructions; Obtaining the actual power transmission of a single model machine and a third number according to the scheduling instruction, wherein the third number is the number of model machines participating in the actual power transmission; Performing a first comparison between the scheduling instruction and the first capacity, and obtaining a first comparison result according to the first comparison; When the first comparison result is that the dispatch instruction is less than the first capacity: the rated capacity of the model machine is the first capacity, the first instruction is the dispatch instruction, and the first instruction is greater than the lower limit of the total instruction of the model machine; the first instruction is the total instruction of the model machine participating in the allocation; Otherwise: the first instruction is the first capacity, and a second comparison is performed between the scheduling instruction and the instruction limit, and a second comparison result is obtained according to the second comparison; When the second comparison result is that the dispatch instruction is greater than the instruction limit, obtaining the rated capacity of the sample machine according to the third quantity and the first installed capacity; Otherwise: the rated capacity of the sample machine is the first capacity; Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine; The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

2. The method for calculating the maximum power that can be generated by a photovoltaic power station according to claim 1, characterized in that: When the first comparison result is that the dispatch instruction is smaller than the first capacity, the maximum power that can be generated by the photovoltaic power station is obtained according to a first algorithm.

3. The method for calculating the maximum power that can be generated by a photovoltaic power station according to claim 2, characterized in that: The first algorithm comprises the following steps: The rated capacity of the sample machine is the first capacity; The first instruction is the scheduling instruction, and the first instruction is greater than the lower limit of the total instructions of the sample machine; Get the actual power and third quantity of a single sample machine; Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine; The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

4. The method for calculating the maximum power that can be generated by a photovoltaic power station according to claim 1, characterized in that: When the first comparison result is that the dispatch instruction is not less than the first capacity and less than the instruction limit, the maximum power that can be generated by the photovoltaic power station is obtained according to a second algorithm.

5. The method for calculating the maximum power that can be generated by a photovoltaic power station according to claim 4, characterized in that: The second algorithm comprises the following steps: The rated capacity of the sample machine is the first capacity; The first instruction is the first capacity; Get the actual power and third quantity of a single sample machine; Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine; The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

6. The method for calculating the maximum power that can be generated by a photovoltaic power station according to claim 4, characterized in that: The instruction limit value includes a first instruction limit value and a second instruction limit value, and the first instruction limit value is smaller than the second instruction limit value; When the second comparison result is that the dispatch instruction is not less than the first instruction limit and less than the second instruction limit, obtaining the maximum power that can be generated by the photovoltaic power station according to a third algorithm; When the second comparison result is that the dispatch instruction is not less than the second instruction limit value, the maximum power that can be generated by the photovoltaic power station is obtained according to a fourth algorithm.

7. The method for calculating the maximum power that can be generated by a photovoltaic power station according to claim 6, characterized in that: The third algorithm comprises the following steps: The first instruction is the first capacity; Obtaining a first increase number, where the first increase number is the difference between the number of sample machines in the photovoltaic power station and the minimum number of sample machines in the photovoltaic power station; Obtaining a fourth quantity according to the sum of the first quantity and the first increased quantity; The third quantity is equal to the fourth quantity; Get the actual power of a single sample machine; Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine; Obtaining the rated capacity of the sample machine according to the third quantity and the first installed capacity; The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

8. The method for calculating the maximum power that can be generated by a photovoltaic power station according to claim 7, characterized in that: The fourth algorithm comprises the following steps: The first instruction is the first capacity; Obtaining a second increase quantity, where the second increase quantity is the quantity of sample machines added to the photovoltaic power station; Obtaining a fifth quantity according to the sum of the fourth quantity and the increased quantity of the sample machine; The third quantity is equal to the fifth quantity; Get the actual power of a single sample machine; Obtaining the total actual power of the model machine according to the third number and the actual power of the single model machine; Obtaining the rated capacity of the sample machine according to the third quantity and the first installed capacity; The maximum power that can be generated by the photovoltaic power station is obtained according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

9. The method for calculating the maximum power that can be generated by a photovoltaic power station according to any one of claims 1 to 8, characterized in that: A second instruction is obtained according to the scheduling instruction and the total actual power generated by the model machine, where the second instruction is a total instruction for the inverter to participate in the distribution.

10. A device for implementing the method for calculating the maximum power that can be generated by a photovoltaic power station according to any one of claims 1 to 9, characterized in that: It includes a data receiving module, a comparison module, a decision module and a calculation module; The data receiving module: used to obtain the first quantity, the second quantity, the first installed capacity, the second installed capacity and the instruction limit; Used to send a first comparison signal to the comparison module when obtaining the scheduling instruction; Used to obtain the actual power of the single sample machine and the third quantity after obtaining the scheduling instruction; The comparison module: for performing a first comparison between the scheduling instruction and the first capacity according to the first comparison signal, and obtaining a first comparison result according to the first comparison; for performing a second comparison between the scheduling instruction and the instruction limit value according to a second comparison signal, and obtaining a second comparison result according to the second comparison; Used to send the first comparison result or the second comparison result to the decision module; The decision module: for obtaining a first decision when the first comparison result is that the scheduling instruction is less than the first capacity, and sending the first decision to the calculation module, wherein the first decision is that the rated capacity of the model machine is the first capacity, the first instruction is the scheduling instruction, and the first instruction is greater than the lower limit of the total instruction of the model machine; for sending a second comparison signal to the comparison module when the first comparison result is that the scheduling instruction is not less than the first capacity; for obtaining a second decision when the second comparison result is that the dispatch instruction is greater than the instruction limit, and sending the second decision to the calculation module; the second decision is that the first instruction is the first capacity, and the rated capacity of the model machine is obtained according to the third number and the first installed capacity; for obtaining a third decision when the second comparison result is that the scheduling instruction is not greater than the instruction limit, and sending the third decision to the calculation module; the third decision is that the rated capacity of the sample machine is the first capacity; The computing module: for obtaining a first capacity according to the first quantity and the first installed capacity; for obtaining a second capacity according to the second number and the second installed capacity; Used to obtain the total actual power of the model machine according to the actual power of the single model machine and the third number; for obtaining a rated capacity of a sample machine according to the third quantity and the first installed capacity based on the second decision or the third decision; Used to obtain the maximum power that can be generated by the photovoltaic power station based on the first decision, the second decision or the third decision, according to the total actual power generated by the model machine, the rated capacity of the model machine and the second capacity.

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