A distributed photovoltaic acceptance capacity optimization method and system

Abstract

The present invention discloses a distributed photovoltaic acceptance capacity optimization method and system, which relates to the field of electric energy dispatching technology. The present invention significantly improves the acceptance capacity and operation efficiency of distributed photovoltaic systems through refined photovoltaic power management; through power collection, time division, equipment screening and intelligent dispatching technology, the system can achieve full process optimization of photovoltaic power generation from generation to utilization, and maximize the economic value and utilization rate of renewable energy; through real-time monitoring of photovoltaic power generation and intelligent management of energy storage equipment, the system can store or incorporate excess electric energy into the power grid when power generation is in excess, and flexibly call on energy storage or power grid resources when power generation is insufficient, to ensure the continuity and stability of power supply; this multi-dimensional, multi-strategy energy management method significantly improves the adaptability and reliability of renewable energy.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy dispatching, and in particular to a distributed photovoltaic receiving capacity optimization method and system. Background Art

[0002] Traditional distributed photovoltaic systems face many technical challenges in practical applications: first, photovoltaic power generation is significantly intermittent and volatile, and is affected by factors such as weather and light intensity, resulting in unstable power production; second, the existing system lacks refined management and dynamic scheduling mechanisms for photovoltaic power, resulting in low energy efficiency; third, energy storage technology and grid scheduling capabilities are relatively lagging, and cannot effectively balance the peak and valley fluctuations of photovoltaic power generation.

[0003] These technical limitations have severely restricted the large-scale promotion and application of distributed photovoltaic systems. Traditional methods often adopt a static power distribution mode, which cannot flexibly adjust the power supply strategy according to the real-time power generation situation, resulting in the waste of photovoltaic power resources and the reduction of system operation efficiency. At the same time, the lack of accurate screening and intelligent scheduling of power-consuming equipment further limits the acceptance capacity and economic value of distributed photovoltaic systems. Therefore, how to build an innovative method that can achieve refined management of photovoltaic power and improve system acceptance capacity and operation efficiency has become a key problem and urgent need in the current development of distributed photovoltaic technology. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a distributed photovoltaic acceptance capacity optimization method and system, which solves the problems in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A distributed photovoltaic acceptance capacity optimization method, comprising:

[0006] Step 1: Collect and monitor the electric power generated by distributed photovoltaics, divide it into time periods, divide it into high-power production time periods and low-power production time periods, and determine the benchmark electric power of high-power production time periods and low-power production time periods;

[0007] Step 2: After determining the reference power during the high-power generation period and the low-power generation period, obtain the current power-consuming equipment and the power consumption of the current power-consuming equipment, and determine the distributed photovoltaic power supply equipment from the current power-consuming equipment during the high-power generation period or the low-power generation period;

[0008] Step 3: Use the electric power generated by distributed photovoltaics to supply power to distributed photovoltaic power supply equipment, and obtain the storage power of the energy storage equipment and the power fluctuation of distributed photovoltaics in real time, and store and distribute electricity according to the storage power of the energy storage equipment and the power fluctuation of distributed photovoltaics;

[0009] Step 4: After storing and distributing electricity according to the storage of electric energy in the energy storage device and the fluctuation of the electric power generated by distributed photovoltaics, during the period of high or low power production, the corresponding distributed photovoltaic power supply equipment is determined, and the distributed photovoltaic power supply equipment is powered by the electric power generated by distributed photovoltaics and combined with the integration of energy storage equipment and the power grid.

[0010] As a further solution of the present invention: in the step 1, the electric power generated by the distributed photovoltaic is collected and monitored, and the time periods are divided into high power generation time periods and low power generation time periods, and the specific method of determining the reference electric power of the high power generation time periods and the low power generation time periods is:

[0011] AS1: Divide a day into time period; where c is the preset value;

[0012] AS2: Select each time period as the target period in turn, and Collecting the power generated by distributed photovoltaics ,in, , For every time during the target period The total amount of electric power generated by distributed photovoltaics is collected. is the default value;

[0013] AS3: Get the average value of each day in the target period x days ago : ;in, , is the default value;

[0014] AS4: Determine the target power during the target period by the following formula: :

[0015] ;

[0016] AS5: Then calculate the discrete value of its target period in x days using the following formula :

[0017] ;

[0018] Discrete values With the default value Compare and determine the standard power during the target period:

[0019] AS51: If When the power is As the standard power during the target period, it is marked as ,in, ;

[0020] like When , it indicates a discrete value Too big, according to The result will be Sort from largest to smallest, and delete the first one each time. , and recalculate the remaining Discrete values ​​of , until the discrete value No more than , get the deleted Number of ,judge Size:

[0021] like ,calculate Deleted The average of the maximum and minimum values ​​of ;

[0022] like ,calculate The remaining The average value of is taken as the standard power during the target period and is marked as ,in, ;

[0023] AS6: Standard electric power and preset power w is compared to divide the target period into a high power generation period or a low power generation period;

[0024] like , then the target period is divided into a high-power generation period;

[0025] like , then the target period is divided into a low-power generation period;

[0026] AS7: Repeat steps AS2-AS6, and select each time period as the target time period for time division, and divide it into a high power generation time period or a low power generation time period.

[0027] As a further solution of the present invention: also include:

[0028] AS8: Next, determine the number of high-power production periods in a day ,Will Standard power consumption during high-power generation period To obtain, select the minimum standard power As a benchmark power during high-power production periods;

[0029] Determine the number of low-power production periods in a day ,Will Standard power consumption during low power generation period Obtain and calculate the average value as the reference power during the low power generation period; wherein, .

[0030] As a further solution of the present invention: in the step 2, the current power-consuming equipment and the power consumption of the current power-consuming equipment are obtained, and the distributed photovoltaic power supply equipment is determined from the current power-consuming equipment during the high power generation period or the low power generation period:

[0031] BS1: The power consumption of each electrical device is marked as ,in, , n represents the total number of current power-consuming devices;

[0032] Calculate the total power of current electrical equipment : ;

[0033] BS2: Determine the corresponding benchmark power according to whether the current time is in a high-power generation period or a low-power generation period, and mark it as ;

[0034] Determine the total power With reference power Size:

[0035] If the base power Greater than total power , indicating that the electric power generated by distributed photovoltaics can supply power to the current power-consuming equipment, and all the current power-consuming equipment is determined to be distributed photovoltaic power supply equipment;

[0036] If the base power Less than total power , indicating that the electric power generated by distributed photovoltaics cannot supply power to the current power-consuming equipment, and then the distributed photovoltaic power supply equipment is determined from the current power-consuming equipment;

[0037] If the reference power Less than total power , indicating that the power generated by distributed photovoltaics cannot supply power to the current power-consuming equipment. Then the specific method of determining the distributed photovoltaic power supply equipment from the current power-consuming equipment is as follows:

[0038] BS21: Power consumption of current electrical equipment Sort them from large to small, and mark the sorted power again as ,in, ,and is the sorting sequence number;

[0039] BS22: Select the power consumption of the first power-consuming device in the order With reference power For comparison: Expressed as the power consumption of the current power-consuming equipment The power consumption of the first power-consuming device after sorting from largest to smallest;

[0040] If the power consumption of the first power-consuming device is sorted Less than or equal to the reference power When , it indicates that the first power-consuming device in the sequence can be powered, and the power-consuming device is determined as a distributed photovoltaic power supply device;

[0041] BS23: Then select and sort the power consumption of the second electrical device Compare with the remaining reference power: Expressed as the power consumption of the current power-consuming equipment The power consumption of the second power-consuming device after sorting from largest to smallest; the remaining benchmark power at this time : ;

[0042] If the power consumption of the second electrical equipment is sorted Less than or equal to the remaining reference power When , it indicates that the second power-consuming device in the ranking can also be powered; the power-consuming device is determined as a distributed photovoltaic power supply device;

[0043] BS24: Similarly, the remaining reference power is determined to be less than the first When the power consumption of an electric device is determined, the electric device is skipped, and the remaining benchmark power is continuously compared with the power consumption of the electric devices ranked later to determine the distributed photovoltaic power supply equipment.

[0044] As a further solution of the present invention: in step BS22, it also includes:

[0045] If the power consumption of the first power-consuming device is sorted Greater than the reference power When , it indicates that the first power consumer in the ranking cannot be powered, then the power consumer is skipped, and the benchmark power is continuously compared with the power of the power consumers in the latter rankings to determine the distributed photovoltaic power supply equipment.

[0046] As a further solution of the present invention: in step BS23, it also includes:

[0047] If the power consumption of the second electrical equipment is sorted Greater than the remaining reference power When , it indicates that the second power consumer in the ranking cannot be powered, then the power consumer is skipped, and the benchmark power is continuously compared with the power of the power consumers in the latter ranking in turn to determine the distributed photovoltaic power supply equipment.

[0048] As a further solution of the present invention: in the step three, the specific method of storing and distributing electricity according to the storage of electric energy in the energy storage device and the fluctuation of electric power generated by distributed photovoltaics is as follows;

[0049] Get the total power required by the distributed photovoltaic power supply equipment, marked as , and monitor the power generated by distributed photovoltaics in real time, marked as , real-time judgment of power With total power Size:

[0050] like When the excess electricity generated by distributed photovoltaics is stored in the energy storage device, it is determined whether the energy storage device is full:

[0051] If the energy storage device is full, the excess electricity generated by distributed photovoltaics is sent to the grid through the inverter;

[0052] If the energy storage device is not full, continue to store in the energy storage device;

[0053] like When and The difference power is marked as , and simultaneously obtain the power information in the energy storage device;

[0054] If the power in the energy storage device reaches the power supply threshold, the power in the energy storage device is used to provide the differential power required by the distributed photovoltaic power supply device;

[0055] If the amount of electricity in the energy storage device does not reach the power supply threshold, the differential power required by the distributed photovoltaic power supply device is provided by connecting to the grid.

[0056] A distributed photovoltaic acceptance capacity optimization system, comprising:

[0057] The power collection and time division module is used to collect and monitor the power generated by distributed photovoltaics, divide the time periods into high-power generation time periods and low-power generation time periods, and determine the benchmark power of high-power generation time periods and low-power generation time periods;

[0058] A power supply equipment determination module is used to determine the reference power during the high power generation period and the low power generation period, obtain the current power-consuming equipment and the power consumption of the current power-consuming equipment, and determine the distributed photovoltaic power supply equipment from the current power-consuming equipment during the high power generation period or the low power generation period;

[0059] The power dispatching and energy storage management module is used to determine the distributed photovoltaic power supply equipment, use the electric power generated by the distributed photovoltaic to supply the distributed photovoltaic power supply equipment, and obtain the storage power of the energy storage equipment and the power fluctuation of the distributed photovoltaic in real time, and store and distribute the power according to the storage power of the energy storage equipment and the power fluctuation of the distributed photovoltaic;

[0060] The photovoltaic power supply scheduling module is used to determine the corresponding distributed photovoltaic power supply equipment during high or low power production periods, and to supply power to the distributed photovoltaic power supply equipment through the electric power generated by distributed photovoltaics combined with the integration of energy storage equipment and the power grid.

[0061] The present invention provides a distributed photovoltaic acceptance capacity optimization method and system. Compared with the prior art, it has the following beneficial effects:

[0062] The present invention constructs a new model of intelligent and efficient renewable energy management. Under the background of energy transformation, the present invention significantly improves the acceptance capacity and operation efficiency of distributed photovoltaic systems through refined photovoltaic power management. Through power collection, time division, equipment screening and intelligent scheduling technology, the system can optimize the entire process of photovoltaic power generation from generation to utilization, maximizing the economic value and utilization rate of renewable energy.

[0063] The present invention monitors photovoltaic power generation in real time and intelligently manages energy storage equipment. The system can store or integrate excess electricity into the power grid when power generation is in excess, and flexibly call on energy storage or grid resources when power generation is insufficient to ensure the continuity and stability of power supply. This multi-dimensional, multi-strategy energy management method significantly improves the adaptability and reliability of renewable energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The present invention will be further described below in conjunction with the accompanying drawings.

[0065] Figure 1 A flowchart of the steps of a distributed photovoltaic acceptance capacity optimization method of the present invention;

[0066] Figure 2 This is a structural framework diagram of a distributed photovoltaic acceptance capacity optimization system of the present invention. DETAILED DESCRIPTION

[0067] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0068] Embodiment 1

[0069] See also Figure 1 ,The present invention provides a distributed photovoltaic acceptance capacity optimization method, including:

[0070] Step 1: Collect and monitor the electric power generated by distributed photovoltaics, divide the time periods into high-power production periods and low-power production periods, and determine the benchmark electric power for the high-power production periods and low-power production periods;

[0071] It should be noted that the power generated by distributed photovoltaics is collected and monitored through the inverters in modern photovoltaic systems. Inverters in modern photovoltaic systems are usually equipped with built-in monitoring functions, which can provide power, electric energy and other data in real time, and even remote monitoring functions, so as to understand the overall performance of distributed photovoltaic systems;

[0072] The specific method of collecting and monitoring the electric power generated by distributed photovoltaics and dividing the time periods into high-power generation time periods and low-power generation time periods, and determining the reference electric power of the high-power generation time periods and the low-power generation time periods is as follows:

[0073] AS1: Divide a day into time periods; wherein c is a preset value, which is specifically divided by professional staff, and in this embodiment, c is 24;

[0074] AS2: Select each time period as the target period in turn, and Collecting the power generated by distributed photovoltaics ,in, , For every time during the target period The total amount of electric power generated by distributed photovoltaics is collected. It is a preset value, which will be determined by professional staff;

[0075] AS3: Get the average value of each day in the target period x days ago : ;in, ; is a preset value, which is set by professional staff; in this embodiment, ;

[0076] AS4: Determine the target power during the target period by the following formula: :

[0077] ;

[0078] AS5: Then calculate the discrete value of its target period in x days using the following formula :

[0079] ;

[0080] Discrete values With the default value Compare and determine the standard power during the target period:

[0081] AS51: If When the power is As the standard power during the target period, it is marked as ,in, , default value Determined by professional staff based on experience;

[0082] like When , it indicates a discrete value Too big, according to The result will be Sort from largest to smallest, and delete the first one each time. , and recalculate the remaining Discrete values ​​of , until the discrete value No more than , get the deleted Number of ,judge Size:

[0083] like ,calculate Deleted The average of the maximum and minimum values ​​of ;

[0084] like ,calculate The remaining The average value of is taken as the standard power during the target period and is marked as ,in, ;

[0085] AS6: Standard electric power and preset power w is compared to divide the target period into a high power generation period or a low power generation period, wherein the preset power Determined by professional staff;

[0086] like , then the target period is divided into a high-power generation period;

[0087] like , then the target period is divided into a low-power generation period;

[0088] AS7: Repeat steps AS2-AS6, select each time period as the target time period in turn, and divide it into a high power generation period or a low power generation period;

[0089] AS8: Next, determine the number of high-power production periods in a day ,Will Standard power consumption during high-power generation period To obtain, select the minimum standard power As a benchmark power during high-power production periods;

[0090] Determine the number of low-power production periods in a day ,Will Standard power consumption during low power generation period Obtain and calculate the average value as the reference power during the low power generation period; wherein, ;

[0091] Through data collection and analysis methods, this step provides an accurate power portrait for the distributed photovoltaic system; specifically, dividing a day into c time periods and using x days of historical data for statistical analysis can not only objectively distinguish between high-power and low-power periods, but also effectively filter abnormal data points to ensure the scientificity and accuracy of the benchmark power calculation; this detailed time period division and data processing method can not only reflect the time characteristics of photovoltaic power generation, but also provide a solid data foundation for subsequent power dispatching, energy storage management and system optimization, greatly improving the intelligence level and operation efficiency of distributed photovoltaic systems;

[0092] Step 2: After determining the reference power during the high-power generation period and the low-power generation period, obtain the current power-consuming equipment and the power consumption of the current power-consuming equipment, and determine the distributed photovoltaic power supply equipment from the current power-consuming equipment during the high-power generation period or the low-power generation period;

[0093] The current power-consuming device and the power consumption of the current power-consuming device are obtained, and the distributed photovoltaic power supply device is determined from the current power-consuming device during a high power generation period or a low power generation period:

[0094] BS1: The power consumption of each electrical device is marked as ,in, , n represents the total number of current power-consuming devices;

[0095] Calculate the total power of current electrical equipment : ;

[0096] BS2: Determine the corresponding benchmark power according to whether the current time is in a high-power generation period or a low-power generation period, and mark it as ;

[0097] Determine the total power With reference power Size:

[0098] If the base power Greater than total power , indicating that the electric power generated by distributed photovoltaics can supply power to the current power-consuming equipment, and all the current power-consuming equipment is determined to be distributed photovoltaic power supply equipment;

[0099] If the base power Less than total power , indicating that the electric power generated by distributed photovoltaics cannot supply power to the current power-consuming equipment, and then the distributed photovoltaic power supply equipment is determined from the current power-consuming equipment;

[0100] If the reference power Less than total power , indicating that the power generated by distributed photovoltaics cannot supply power to the current power-consuming equipment. Then the specific method of determining the distributed photovoltaic power supply equipment from the current power-consuming equipment is as follows:

[0101] BS21: Power consumption of current electrical equipment Sort them from large to small, and mark the sorted power again as ,in, ,and is the sorting sequence number;

[0102] BS22: Select the power consumption of the first power-consuming device in the order With reference power For comparison: Expressed as the power consumption of the current power-consuming equipment The power consumption of the first power-consuming device after sorting from largest to smallest;

[0103] If the power consumption of the first power-consuming device is sorted Less than or equal to the reference power When , it indicates that the first power-consuming device in the sequence can be powered, and the power-consuming device is determined as a distributed photovoltaic power supply device;

[0104] BS23: Then select and sort the power consumption of the second electrical device Compare with the remaining reference power: Expressed as the power consumption of the current power-consuming equipment The power consumption of the second power-consuming device after sorting from largest to smallest; the remaining benchmark power at this time : ;

[0105] If the power consumption of the second electrical equipment is sorted Less than or equal to the remaining reference power When , it indicates that the second power-consuming device in the ranking can also be powered; the power-consuming device is determined as a distributed photovoltaic power supply device;

[0106] BS24: Similarly, the remaining reference power is determined to be less than the first When the power consumption of a power-consuming device is determined, the power-consuming device is skipped, and the remaining benchmark power consumption is continuously compared with the power consumption of the power-consuming devices ranked later to determine the distributed photovoltaic power supply device;

[0107] In step BS22, it also includes:

[0108] If the power consumption of the first power-consuming device is sorted Greater than or equal to the reference power When , it indicates that the first power consumer in the ranking cannot be powered, then the power consumer is skipped, and the benchmark power is compared with the power of the power consumers in the latter rankings to determine the distributed photovoltaic power supply equipment;

[0109] In step BS23, it also includes:

[0110] If the power consumption of the second electrical equipment is sorted Greater than the remaining reference power When , it indicates that the second power consumer in the ranking cannot be powered, then the power consumer is skipped, and the benchmark power is continuously compared with the power of the power consumers in the latter rankings to determine the distributed photovoltaic power supply equipment;

[0111] For example, if the current moment is in a low-power production period, if the total power of the current power-consuming equipment is 500w and the benchmark power is 600w, the benchmark power is greater than the total power, then all the current power-consuming equipment will be determined as distributed photovoltaic power supply equipment; if the total power of the current power-consuming equipment is 500w and the benchmark power is 200w, the benchmark power is less than the total power. Assuming that there are 4 current power-consuming equipment, with power usage of 300w, 100w, 70w, and 30w respectively, and they are sorted from large to small, the benchmark power of 200w is less than the first power-consuming equipment of 300w, so the first power-consuming equipment is skipped. The second one is judged. At this time, the reference power is 200w, which is greater than the second power consumer's 100w. The second power consumer is selected as a distributed photovoltaic power supply device. Then the remaining reference power is obtained. At this time, the remaining reference power is 100w. The third power consumer is judged. At this time, the remaining reference power of 100w is greater than the third power consumer's 70w. The third power consumer is selected as a distributed photovoltaic power supply device. At this time, the remaining reference power is 30w. The fourth power consumer is judged. At this time, the remaining reference power of 30w is equal to the fourth power consumer's 30w. The fourth power consumer is selected as a distributed photovoltaic power supply device.

[0112] This step achieves accurate allocation and optimal utilization of distributed photovoltaic power through a refined equipment screening mechanism. Based on the benchmark power in different time periods, the current power-consuming equipment is first sorted according to power size, and then the power supply possibility of each device is evaluated one by one according to the available photovoltaic power. This method can not only maximize the use of limited photovoltaic power generation resources, but also dynamically adjust the power supply equipment according to actual power demand to ensure the flexibility and economy of power distribution. Through this intelligent equipment selection mechanism, the utilization efficiency of distributed photovoltaic power generation can be significantly improved and power waste can be reduced.

[0113] Step 3: After the distributed photovoltaic power supply equipment is determined, the distributed photovoltaic power supply equipment is powered by the electric power generated by the distributed photovoltaic power supply equipment, and the storage of electric energy of the energy storage equipment and the fluctuation of the electric power generated by the distributed photovoltaic power supply equipment are obtained in real time, and the electric power is stored and distributed according to the storage of electric energy of the energy storage equipment and the fluctuation of the electric power generated by the distributed photovoltaic power supply equipment;

[0114] The specific method of storing and distributing electricity according to the storage of electric energy in the energy storage device and the fluctuation of electric power generated by distributed photovoltaics is as follows;

[0115] Get the total power required by the distributed photovoltaic power supply equipment, marked as , and monitor the power generated by distributed photovoltaics in real time, marked as , real-time judgment of power With total power Size:

[0116] like When the excess electricity generated by distributed photovoltaics is stored in the energy storage device, it is determined whether the energy storage device is full:

[0117] If the energy storage device is full, the excess electricity generated by distributed photovoltaics is sent to the grid through the inverter;

[0118] If the energy storage device is not full, continue to store in the energy storage device;

[0119] like When and The difference power is marked as , and simultaneously obtain the power information in the energy storage device;

[0120] If the power in the energy storage device reaches the power supply threshold, the power in the energy storage device is used to provide the differential power required by the distributed photovoltaic power supply device;

[0121] If the amount of electricity in the energy storage device does not reach the power supply threshold, the difference power required by the distributed photovoltaic power supply device is provided by connecting to the grid;

[0122] This step builds a dynamic and intelligent power balance and management system, realizing real-time monitoring and optimized scheduling of distributed photovoltaic power generation; when the photovoltaic power generation exceeds the power demand, the system will automatically store the excess power in the energy storage device, and send the power to the grid when the energy storage device is full, maximizing the utilization value of photovoltaic power generation; conversely, when photovoltaic power generation is insufficient, the system will intelligently evaluate the power of the energy storage device, give priority to the use of stored power when the energy storage device has sufficient power, and supplement it from the grid when it is insufficient, to ensure the continuity and stability of power supply; this multi-dimensional and multi-strategy power management method not only improves the energy utilization rate of distributed photovoltaic systems;

[0123] Step 4: After storing and distributing electricity according to the storage of electric energy in the energy storage device and the fluctuation of the electric power generated by distributed photovoltaics, during the period of high or low power production, the corresponding distributed photovoltaic power supply equipment is determined, and the distributed photovoltaic power supply equipment is powered by the electric power generated by distributed photovoltaics and combined with the integration of energy storage equipment and the power grid.

[0124] Embodiment 2

[0125] See also Figure 2 In the specific implementation process, this embodiment is based on the first embodiment and is different from the first embodiment in that this embodiment further provides a distributed photovoltaic acceptance capacity optimization system, including:

[0126] The power collection and time division module is used to collect and monitor the power generated by distributed photovoltaics, divide the time periods into high-power generation time periods and low-power generation time periods, and determine the benchmark power of high-power generation time periods and low-power generation time periods;

[0127] A power supply equipment determination module is used to determine the reference power during the high power generation period and the low power generation period, obtain the current power-consuming equipment and the power consumption of the current power-consuming equipment, and determine the distributed photovoltaic power supply equipment from the current power-consuming equipment during the high power generation period or the low power generation period;

[0128] The power dispatching and energy storage management module is used to determine the distributed photovoltaic power supply equipment, use the electric power generated by the distributed photovoltaic to supply the distributed photovoltaic power supply equipment, and obtain the storage power of the energy storage equipment and the power fluctuation of the distributed photovoltaic in real time, and store and distribute the power according to the storage power of the energy storage equipment and the power fluctuation of the distributed photovoltaic;

[0129] The photovoltaic power supply scheduling module is used to determine the corresponding distributed photovoltaic power supply equipment during high or low power production periods, and to supply power to the distributed photovoltaic power supply equipment through the electric power generated by distributed photovoltaics and combined with the integration of energy storage equipment and the power grid.

[0130] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0131] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A distributed photovoltaic acceptance capacity optimization method, characterized in that: include: Step 1: Collect and monitor the electric power generated by distributed photovoltaics, divide it into time periods, divide it into high-power production time periods and low-power production time periods, and determine the benchmark electric power of high-power production time periods and low-power production time periods; Step 2: After determining the reference power during the high-power generation period and the low-power generation period, obtain the current power-consuming equipment and the power consumption of the current power-consuming equipment, and determine the distributed photovoltaic power supply equipment from the current power-consuming equipment during the high-power generation period or the low-power generation period; Step 3: Use the electric power generated by distributed photovoltaics to supply power to distributed photovoltaic power supply equipment, and obtain the storage power of the energy storage equipment and the power fluctuation of distributed photovoltaics in real time, and store and distribute electricity according to the storage power of the energy storage equipment and the power fluctuation of distributed photovoltaics; Step 4: After storing and distributing electricity according to the storage of electric energy in the energy storage device and the fluctuation of the electric power generated by distributed photovoltaics, during the period of high or low power production, the corresponding distributed photovoltaic power supply equipment is determined, and the distributed photovoltaic power supply equipment is powered by the electric power generated by distributed photovoltaics and combined with the integration of energy storage equipment and the power grid.

2. A distributed photovoltaic acceptance capacity optimization method according to claim 1, characterized in that: In the step 1, the electric power generated by the distributed photovoltaic is collected and monitored, and the time periods are divided into high power generation time periods and low power generation time periods, and the specific method of determining the reference electric power of the high power generation time periods and the low power generation time periods is: AS1: Divide a day into time periods; where c is a preset value; AS2: Select each time period as the target period in turn, and Collecting the power generated by distributed photovoltaics ,in, , For every time during the target period The total amount of electric power generated by distributed photovoltaics is collected. is the default value; AS3: Get the average value of each day in the target period x days ago : ;in, , is the default value; AS4: Determine the target power during the target period by the following formula: : ； AS5: Then calculate the discrete value of the target period in x days using the following formula : ； Discrete values With the default value Compare and determine the standard power during the target period: AS51: If When the power is As the standard power during the target period, it is marked as ,in, ; like When , it indicates a discrete value Too big, according to The result will be Sort from largest to smallest, and delete the first one each time. , and recalculate the remaining Discrete values ​​of , until the discrete value No more than , get the deleted Number of ,judge Size: like ,calculate Deleted The average of the maximum and minimum values ​​of ; like ,calculate The remaining The average value of is taken as the standard power during the target period and is marked as ,in, ; AS6: Standard electric power and preset power w is compared to divide the target period into a high power generation period or a low power generation period; like , then the target period is divided into a high-power generation period; like , then the target period is divided into a low-power generation period; AS7: Repeat steps AS2-AS6, and select each time period as the target time period for time division, and divide it into a high power generation time period or a low power generation time period.

3. A distributed photovoltaic acceptance capacity optimization method according to claim 2, characterized in that: Also includes: AS8: Next, determine the number of high-power production periods in a day ,Will Standard power consumption during high-power generation period To obtain, select the minimum standard power As a benchmark power during high-power production periods; Determine the number of low-power production periods in a day ,Will Standard power consumption during low power generation period Obtain and calculate the average value as the reference power during the low power generation period; wherein, .

4. A distributed photovoltaic acceptance capacity optimization method according to claim 1, characterized in that: In the step 2, the current power-consuming equipment and the power consumption of the current power-consuming equipment are obtained, and the distributed photovoltaic power supply equipment is determined from the current power-consuming equipment during the high power generation period or the low power generation period: BS1: The power consumption of each electrical device is marked as ,in, , n represents the total number of current power-consuming devices; Calculate the total power of current electrical equipment : ; BS2: Determine the corresponding benchmark power according to whether the current time is in a high-power generation period or a low-power generation period, and mark it as ; Determine the total power With reference power Size: If the base power Greater than total power , indicating that the electric power generated by distributed photovoltaics can supply power to the current power-consuming equipment, and all the current power-consuming equipment is determined to be distributed photovoltaic power supply equipment; If the base power Less than total power , indicating that the electric power generated by distributed photovoltaics cannot supply power to the current power-consuming equipment, and then the distributed photovoltaic power supply equipment is determined from the current power-consuming equipment; If the reference power Less than total power , indicating that the power generated by distributed photovoltaics cannot supply power to the current power-consuming equipment. Then the specific method of determining the distributed photovoltaic power supply equipment from the current power-consuming equipment is as follows: BS21: Power consumption of current electrical equipment Sort them from large to small, and mark the sorted power again as ,in, ,and is the sorting sequence number; BS22: Select the power consumption of the first power-consuming device in the order With reference power For comparison: Expressed as the power consumption of the current power-consuming equipment The power consumption of the first power-consuming device after sorting from largest to smallest; If the power consumption of the first power-consuming device is sorted Less than or equal to the reference power When , it indicates that the first power-consuming device in the sequence can be powered, and the power-consuming device is determined as a distributed photovoltaic power supply device; BS23: Then select and sort the power consumption of the second electrical device Compare with the remaining reference power: Expressed as the power consumption of the current power-consuming equipment The power consumption of the second power-consuming device after sorting from largest to smallest; the remaining benchmark power at this time : ; If the power consumption of the second power-consuming device is sorted Less than or equal to the remaining reference power When , it indicates that the second power-consuming device in the ranking can also be powered; the power-consuming device is determined as a distributed photovoltaic power supply device; BS24: Similarly, the remaining reference power is determined to be less than the first When the power consumption of an electric device is determined, the electric device is skipped, and the remaining benchmark power is continuously compared with the power consumption of the electric devices ranked later to determine the distributed photovoltaic power supply equipment.

5. A distributed photovoltaic acceptance capacity optimization method according to claim 4, characterized in that: In step BS22, it also includes: If the power consumption of the first power-consuming device is sorted Greater than the reference power When , it indicates that the first power consumer in the ranking cannot be powered, then the power consumer is skipped, and the benchmark power is continuously compared with the power of the power consumers in the latter rankings to determine the distributed photovoltaic power supply equipment.

6. A distributed photovoltaic acceptance capacity optimization method according to claim 5, characterized in that: In step BS23, it also includes: If the power consumption of the second power-consuming device is sorted Greater than the remaining reference power When , it indicates that the second power consumer in the ranking cannot be powered, then the power consumer is skipped, and the benchmark power is continuously compared with the power of the power consumers in the latter ranking in turn to determine the distributed photovoltaic power supply equipment.

7. A distributed photovoltaic acceptance capacity optimization method according to claim 1, characterized in that: In the step three, the specific method of storing and distributing electricity according to the storage of electric energy in the energy storage device and the fluctuation of electric power generated by distributed photovoltaics is as follows; Get the total power required by the distributed photovoltaic power supply equipment, marked as , and monitor the power generated by distributed photovoltaics in real time, marked as , real-time judgment of power With total power Size: like When the excess electricity generated by distributed photovoltaics is stored in the energy storage device, it is determined whether the energy storage device is full: If the energy storage device is full, the excess electricity generated by distributed photovoltaics is sent to the grid through the inverter; If the energy storage device is not full, continue to store in the energy storage device; like When and The difference power is marked as , and simultaneously obtain the power information in the energy storage device; If the power in the energy storage device reaches the power supply threshold, the power in the energy storage device is used to provide the differential power required by the distributed photovoltaic power supply device; If the amount of electricity in the energy storage device does not reach the power supply threshold, the differential power required by the distributed photovoltaic power supply device is provided by connecting to the grid.

8. A distributed photovoltaic acceptance capacity optimization system, applied to a distributed photovoltaic acceptance capacity optimization method according to any one of claims 1 to 7, characterized in that: include: The power collection and time division module is used to collect and monitor the power generated by distributed photovoltaics, divide the time periods into high-power generation time periods and low-power generation time periods, and determine the benchmark power of high-power generation time periods and low-power generation time periods; A power supply equipment determination module is used to determine the reference power during the high power generation period and the low power generation period, obtain the current power-consuming equipment and the power consumption of the current power-consuming equipment, and determine the distributed photovoltaic power supply equipment from the current power-consuming equipment during the high power generation period or the low power generation period; The power dispatching and energy storage management module is used to determine the distributed photovoltaic power supply equipment, use the electric power generated by the distributed photovoltaic to supply the distributed photovoltaic power supply equipment, and obtain the storage power of the energy storage equipment and the power fluctuation of the distributed photovoltaic in real time, and store and distribute the power according to the storage power of the energy storage equipment and the power fluctuation of the distributed photovoltaic; The photovoltaic power supply scheduling module is used to determine the corresponding distributed photovoltaic power supply equipment during high or low power production periods, and to supply power to the distributed photovoltaic power supply equipment through the electric power generated by distributed photovoltaics combined with the integration of energy storage equipment and the power grid.

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