Flexible energy supply energy unit collaborative optimization method

Abstract

The invention relates to the technical field of energy management, in particular to an energy unit collaborative optimization method for flexible energy supply. According to the method, for any energy device, an energy data predicted value of each moment corresponding to the next moment is obtained and analyzed, and the overall proportion of corresponding energy at each moment is obtained; according to the overall proportion distribution of different renewable energy sources relative to all kinds of electric energy sources at different moments and the energy source output at the corresponding moments, obtaining the updating rate of each moment, and screening out updating moments; and taking a range between adjacent updating moments as a new preset moment interval range, obtaining a new overall ratio of each renewable energy source to each electric energy source at each moment, and carrying out collaborative optimization on the energy unit. According to the method, the collaborative optimization effect of the energy units is improved by obtaining the appropriate matching condition of different energy sources.

Description

Technical Field

[0001] The present invention relates to the field of energy management technology, and in particular to a method for collaborative optimization of energy units with flexible energy supply. Background Art

[0002] Building a flexible energy supply system and coordinating the optimization of different energy units can improve energy stability and cleanliness. Clean, efficient and reliable microgrid technology has been developed, which can meet users' electricity and heat needs and significantly improve energy utilization efficiency.

[0003] In the existing technology, when performing collaborative optimization of multiple energy sources, it is necessary to use energy cabin technology to adjust the conversion and energy ratio between different energy sources. However, due to the complexity of energy types and the relatively simple equipment that cannot meet the interaction between all energy sources in the system, there is a deviation between the expected results of the optimization algorithm and the actual execution effect, and the effect of collaborative optimization of energy units is poor. Summary of the Invention

[0004] In order to solve the technical problem that the equipment is relatively simple and cannot meet the interaction between all energy sources in the system, and the effect of energy unit collaborative optimization is poor, the purpose of the present invention is to provide a method for collaborative optimization of energy units with flexible energy supply. The technical solution adopted is as follows: The present invention proposes a method for collaborative optimization of energy units for flexible energy supply, the method comprising: Obtaining energy data for different energy devices at each moment, the energy data including energy generation by renewable energy devices and energy usage by electric energy devices; Based on the energy data distribution of different energy devices within a preset time interval, the energy ratio of each type of electricity energy at each moment is obtained; based on the changing trend of the corresponding energy data between each renewable energy source and different types of electricity energy at each moment, the conversion ratio between each renewable energy source and each type of electricity energy at each moment is obtained; The energy ratios are weighted according to the conversion ratios of each renewable energy source relative to each type of electrical energy source at each moment to obtain the overall ratios between the corresponding energy sources at each moment; based on the overall ratio distribution and energy generation of different renewable energy sources relative to all types of electrical energy sources at different moments, the update rate at each moment is obtained, and the update moment is selected; The range between adjacent update moments is used as the new preset time interval range to obtain the new overall ratio between each renewable energy source and each electrical energy source at each moment, and to coordinately optimize the energy units.

[0005] Furthermore, the method for obtaining the energy ratio includes: For any electricity energy, based on the energy data distribution within the preset time interval, the energy data forecast value corresponding to the next moment is obtained; Obtain the cumulative sum of the predicted energy usage values of all the same power-consuming energy devices at each moment as the total usage; obtain the cumulative sum of the predicted energy generation values of all renewable energy devices at the corresponding moment as the total generation; The ratio of the total amount generated to the total amount used is obtained as the energy ratio of each type of electrical energy at each moment.

[0006] Furthermore, the method for obtaining the energy data prediction value includes: For any energy device, the ARIMA algorithm is used to predict and update the energy data of all moments within the preset time interval in turn, and the predicted value of the energy data for the corresponding number of subsequent intervals starting from the next moment is obtained.

[0007] Furthermore, the method for obtaining the conversion ratio includes: Obtain the conversion efficiency of each renewable energy source relative to each electricity source; obtain the cumulative sum of all energy generated by each identical renewable energy device at each moment and the product of the maximum conversion efficiency of each renewable energy source relative to each electricity source as the energy conversion amount; obtain the difference between the energy generated and the energy conversion amount of each renewable energy source at each moment as the energy surplus; Obtain the cumulative sum of all energy usage at each moment for the same electrical energy device, as well as the ratio of the conversion efficiency of each renewable energy source to each electrical energy source, as the overall energy demand; obtain the difference between the remaining energy amount and the second conversion amount; if the difference is greater than or equal to a preset difference threshold, set the external energy demand to 0; if the difference is less than the preset difference threshold, use the absolute value of the difference result as the external energy demand; The ratio of the energy surplus corresponding to each renewable energy source at each moment to the external energy demand relative to each electric energy source is obtained as a first ratio; the product of the first ratio and the conversion efficiency of each renewable energy source relative to each electric energy source is obtained as the conversion ratio between each renewable energy source and each electric energy source at each moment.

[0008] Furthermore, the method for obtaining the overall ratio includes: The conversion ratio between each renewable energy source and each electric energy source at each moment and the product of the energy ratios of the electric energy sources are obtained as the overall ratio between the corresponding energy sources at each moment.

[0009] Furthermore, the method for obtaining the update rate includes: Obtaining the stored energy usage of each renewable energy source within each preset time interval based on the overall ratio of each renewable energy source to all types of electrical energy at all times within each preset time interval and the energy generated at the corresponding time; Constructing a ratio fitting curve that fits the overall ratio of each renewable energy source to each electricity source at different times, and obtaining the absolute value of the derivative of the ratio fitting curve at each time as the ratio change rate of each renewable energy source to each electricity source at each time; The update rate at each moment is obtained based on the ratio change rate between different renewable energy sources and all types of electrical energy at each moment, and the stored energy usage of each renewable energy source within the corresponding preset time interval.

[0010] Furthermore, the method for obtaining the stored energy usage includes: Obtain the sum of the overall ratios of each renewable energy source to all types of electricity energy at each moment as the energy usage level of each renewable energy source at each moment; The accumulated difference between the energy usage level and the corresponding energy generation of each renewable energy at all times within each preset time interval is obtained as the stored energy usage of each renewable energy within each preset time interval.

[0011] Furthermore, obtaining the update rate at each moment includes: Obtain the total energy of the energy storage device as the total storage capacity; Obtaining a ratio of the storage energy usage to the total storage capacity of each renewable energy source within each preset time interval as a first ratio within each preset time interval; The average value of the ratio change rate of each renewable energy source relative to all types of electrical energy at each moment is obtained as the overall ratio change level; the product accumulation sum of the overall ratio change level corresponding to different types of renewable energy sources at each moment and the first ratio within the corresponding preset time interval is obtained as the update rate at each moment.

[0012] Furthermore, the method for obtaining the update time includes: If the update rate of a time is greater than a preset update threshold, the corresponding time is used as the update time.

[0013] Furthermore, the preset update threshold is set to 0.75.

[0014] The present invention has the following beneficial effects: The present invention analyzes data within a preset time interval to reduce scheduling deviations caused by wind and solar fluctuations. Based on the energy data distribution of different energy devices within the preset time interval, the energy ratio of each power source at each moment is obtained, reflecting the dynamic changes in the energy structure. Based on the changing trends of the corresponding energy data between each renewable energy source and different power sources at each moment, the conversion ratio of each renewable energy source to each power source at each moment is obtained, quantifying the conversion capacity of renewable energy to power energy. The energy ratios are weighted according to the conversion ratio of each renewable energy source to each power source at each moment to obtain the overall ratio between the corresponding energy sources at each moment, allowing for a more comprehensive and accurate assessment of the energy ratio relationship. Based on the overall ratio distribution of different renewable energy sources to all power sources at different moments and the energy generation at the corresponding moments, the update rate at each moment is obtained, and the update moments are selected to avoid unnecessary repeated optimization of stable periods and re-analyze key moments. The range between adjacent update moments is used as the new preset time interval to obtain the new overall ratio of each renewable energy source to each power source at each moment, thereby collaboratively optimizing the energy units. The present invention improves the effect of collaborative optimization of energy units by obtaining a suitable ratio between different energy sources. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 A flowchart of a collaborative optimization method for energy units with flexible energy supply provided by one embodiment of the present invention; Figure 2 A flow chart of a method for obtaining a conversion ratio provided by one embodiment of the present invention; Figure 3 A flow chart of a method for obtaining an update rate provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation method, structure, features and effects of a flexible energy supply energy unit collaborative optimization method proposed by the present invention. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics of one or more embodiments may be combined in any suitable form.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] The specific scheme of the collaborative optimization method of energy units with flexible energy supply provided by the present invention is described in detail below with reference to the accompanying drawings.

[0020] See also Figure 1 , which shows a flow chart of a method for collaborative optimization of energy units for flexible energy supply provided by an embodiment of the present invention. The specific method includes: Step S1: Obtain energy data of different energy devices at each moment, where the energy data includes energy generated by renewable energy devices and energy used by electrical energy devices.

[0021] In the embodiments of the present invention, flexible energy supply generally refers to the ability of an energy supply system to quickly and efficiently adjust energy production, storage, or distribution methods based on changes in demand or external conditions. This can be applied in scenarios such as industrial parks and renewable energy. To avoid inaccurate optimization and adjustment, it is necessary to analyze the energy-related information of each energy device. First, obtain energy information from each energy device, which mainly includes renewable energy equipment such as solar photovoltaic power generation equipment, wind power generation equipment, electrical energy equipment such as temperature-controlled industrial loads, and energy storage equipment; renewable energy reduces dependence on traditional energy and ensures energy stability by analyzing and optimizing the use of renewable energy by different electrical energy sources; obtain energy data from different energy devices at each moment, which includes the energy generation of renewable energy equipment and the energy usage of electrical energy equipment.

[0022] It should be noted that, in the embodiment of the present invention, the interval between acquisition times can be set by the implementer according to the specific situation, such as acquiring once every 5 minutes; the specific means are technical means well known to those skilled in the art and will not be limited or elaborated here.

[0023] It should be noted that, in one embodiment of the present invention, in order to facilitate subsequent data processing, the data is not dimensionally analyzed and the data may be standardized. The specific means are technical means well known to those skilled in the art and will not be described in detail here.

[0024] Step S2: Based on the energy data distribution of different energy devices within the preset time interval, the energy ratio of each type of electrical energy at each moment is obtained; based on the change trend of the corresponding energy data between each renewable energy source and different types of electrical energy at each moment, the conversion ratio of each renewable energy source to each type of electrical energy at each moment is obtained.

[0025] Considering the usage of different types of energy, the distribution of energy data can help understand the fluctuations of energy on the equipment. Therefore, the energy data distribution within different time intervals is analyzed to understand the proportion of renewable energy used in each type of electricity energy in the overall use; based on the energy data distribution of different energy devices within the preset time interval, the energy ratio of each type of electricity energy at each moment is obtained.

[0026] Preferably, in one embodiment of the present invention, the method for obtaining the energy ratio includes: For any electricity energy, based on the energy data distribution within the preset time interval, the energy data forecast value corresponding to the next moment is obtained; Preferably, by refining the time period prediction, the optimization model can adjust the energy ratio more flexibly and predict the energy data within the subsequent preset time interval. In one embodiment of the present invention, the method for obtaining the energy data prediction value includes: For any energy device, the ARIMA algorithm is used to predict and update the energy data of all moments within the preset time interval in turn, and the predicted value of the energy data for the corresponding number of subsequent intervals starting from the next moment is obtained.

[0027] As a classic model in time series analysis, the ARIMA model can capture the characteristics of the data and thus make accurate predictions; It should be noted that the specific ARIMA algorithm is a technical means well known to those skilled in the art and will not be described in detail here.

[0028] It should be noted that due to the unstable operation of energy equipment, the energy obtained is relatively fluctuating. The prediction of data over a long period of time through the prediction algorithm will lead to certain deviations in the subsequent proportional analysis. Therefore, it is necessary to update the obtained prediction situation within a certain period of time. In one embodiment of the present invention, the time interval is set to 4, and the prediction of the same number of subsequent moments is performed every 4 moments to obtain the new energy data prediction value at the corresponding moment. In other embodiments of the present invention, the size of the time interval can be set according to the specific situation, and will not be limited or elaborated here.

[0029] Obtain the cumulative sum of the predicted energy usage values of all the same power-consuming energy devices at each moment as the total usage; obtain the cumulative sum of the predicted energy generation values of all renewable energy devices at the corresponding moment as the total generation; The ratio of the total amount generated to the total amount used is obtained as the energy ratio of each type of electrical energy at each moment.

[0030] In one embodiment of the present invention, the energy ratio formula is expressed as: ; in, Indicates the The electricity energy used in Energy ratio at each moment; Indicates the The same electrical energy equipment The sum of the predicted energy generation values of all renewable energy devices at the time is taken as the total generation amount; Indicates the The same electrical energy equipment The sum of all energy usage forecasts at the moment is taken as the total usage.

[0031] In the energy ratio formula, Indicates the The same electrical energy equipment The ratio of the total amount of products to the total amount of use at the moment. The larger the ratio, the greater the total amount of energy produced and the smaller the total amount of energy used. The greater the amount of renewable energy that can be used for electricity, the greater the energy ratio. The greater the energy ratio at the moment; the smaller the total energy production, the greater the total energy use, the more renewable energy needs to be consumed, and the smaller the energy ratio is.

[0032] The ratio between renewable energy and electric energy will change dynamically over time. By analyzing the data change trends at each moment, the conversion ratio can be quantified. Based on the change trends of the corresponding energy data between each renewable energy source and different types of electric energy sources at each moment, the conversion ratio between each renewable energy source and each type of electric energy source at each moment can be obtained.

[0033] Preferably, in one embodiment of the present invention, the method for obtaining the conversion ratio can be found in Figure 2 , which shows a flow chart of a method for obtaining a conversion ratio, including: Step S201: Obtain the conversion efficiency of each renewable energy source relative to each electrical energy source; obtain the cumulative sum of all energy generated by each identical renewable energy device at each moment, and the product of the maximum value of the conversion efficiency of each renewable energy source relative to each electrical energy source, as the energy conversion amount; obtain the difference between the energy generation and energy conversion amount of each renewable energy source at each moment, as the energy surplus.

[0034] Conversion efficiency quantifies the energy loss during energy conversion. The greater the conversion efficiency, the smaller the energy loss and the greater the synergy between energy sources; the lower the conversion efficiency, the greater the energy loss. The conversion amount represents the effective energy that renewable energy can contribute under optimal conditions, and is used for priority allocation to ensure the efficiency of energy use and give priority to supplying energy needs with the least loss.

[0035] It should be noted that, in one embodiment of the present invention, the conversion efficiency is calculated as follows: the ratio of the input of one energy to the output of another energy per unit time is used as the conversion efficiency. The greater the conversion efficiency, the more information is converted between the energies. The implementation personnel can obtain it in advance based on relevant equipment information. The specific means are technical means well known to those skilled in the art and are not limited or elaborated here.

[0036] Step S202: Obtain the cumulative sum of all energy usage corresponding to the same electrical energy equipment at each moment, as well as the ratio of the conversion efficiency of each renewable energy source to each electrical energy source, as the overall energy demand; obtain the difference between the energy surplus and the second conversion amount, if the difference is greater than or equal to the preset difference threshold, set the external energy demand to 0; if the difference is less than the preset difference threshold, use the absolute value of the difference result as the external energy demand.

[0037] The difference reflects the comparison between the demand for electricity energy and the energy that can be provided by renewable energy. If the difference is less than the preset difference threshold, it means that there is not enough energy to supply the electricity energy. The greater the external demand for energy.

[0038] It should be noted that, in one embodiment of the present invention, the preset difference threshold is 0; in other embodiments of the present invention, the size of the preset difference threshold can be set according to specific circumstances, which is not limited or elaborated here.

[0039] Step S203: Obtain the ratio of the energy surplus corresponding to each renewable energy source at each moment to the external energy demand relative to each electrical energy source as a first ratio; obtain the product of the first ratio and the conversion efficiency of each renewable energy source relative to each electrical energy source as the conversion ratio between each renewable energy source and each electrical energy source at each moment.

[0040] In one embodiment of the present invention, the conversion ratio is expressed as follows: ; in, Indicates the Renewable energy relative to The electricity energy used in Conversion ratio at the time; Indicates the Renewable energy relative to The conversion efficiency of electrical energy; Indicates the Renewable energy in the The remaining amount of energy after the conversion efficiency is maximized at the moment; Indicates the The electricity energy used in The external energy demand at the moment.

[0041] In the conversion ratio formula, Add 0.01 to avoid the denominator of the formula being 0, which would make the formula meaningless; Indicates obtaining the Renewable energy in the The ratio of the energy surplus corresponding to the moment to the external energy demand for each type of electrical energy is the first ratio; the larger the first ratio is, the greater the energy surplus is, and the greater the first ratio is, the greater the energy surplus is. The more types of electrical energy are supplied, the greater the ratio, the smaller the external demand for energy, the minimum energy loss, and the greater the ratio; the greater the conversion efficiency, the more conversion should be carried out between the two energy sources, and the greater the need for a greater ratio.

[0042] Step S3: Weight the energy ratio according to the conversion ratio between each renewable energy source and each type of electrical energy source at each moment to obtain the overall ratio between the corresponding energy sources at each moment; obtain the update rate at each moment based on the overall ratio distribution and energy generation of different renewable energy sources relative to all types of electrical energy sources at different moments, and filter out the update moment.

[0043] Real-time monitoring of conversion ratios and energy ratios enables precise energy scheduling. By considering the energy ratio of each electricity energy source and the conversion between different energy sources, a more comprehensive analysis of the energy ratios can be conducted. The energy ratios are weighted according to the conversion ratios between each renewable energy source and each electricity energy source at each moment, to obtain the overall ratios between the corresponding energy sources at each moment.

[0044] Preferably, in one embodiment of the present invention, the method for obtaining the overall ratio includes: The conversion ratio between each renewable energy source and each electric energy source at each moment and the product of the energy ratios of the electric energy sources are obtained as the overall ratio between the corresponding energy sources at each moment.

[0045] Because the capacity and energy of energy storage equipment are limited and cannot be regulated over long periods of time, forecasts need to be updated. The changing ratios of different renewable energy sources at each moment reflect the rate of change in the energy share, and the greater the need for updates, the higher the demand. The utilization rate of stored energy reflects the relative intensity of changes in stored energy. The greater the utilization rate, the greater the likelihood of frequent charging and discharging, the greater the need to consider cumulative forecast errors, and the higher the update rate. Based on the overall distribution of renewable energy sources relative to all types of electricity at different times and the energy generated at that moment, the update rate at each moment is obtained and the update time is selected.

[0046] Preferably, in one embodiment of the present invention, the method for obtaining the update rate is as follows: Figure 3 , which shows a flow chart of a method for obtaining an update rate, including: Step S301: Obtain the stored energy usage of each renewable energy source within each preset time interval based on the overall ratio of each renewable energy source to all types of electrical energy within each preset time interval and the energy generated at the corresponding time.

[0047] Preferably, the relationship between the energy generated within a preset time interval and the energy usage evaluated according to the corresponding ratio can reflect the conditions under which energy storage is required. In one embodiment of the present invention, a method for obtaining the stored energy usage includes: Obtain the sum of the overall ratios of each renewable energy source to all types of electricity energy at each moment as the energy usage level of each renewable energy source at each moment; The accumulated difference between the energy usage level and the corresponding energy generation of each renewable energy at all times within each preset time interval is obtained as the stored energy usage of each renewable energy within each preset time interval.

[0048] Step S302: Construct a ratio fitting curve that fits the overall ratio between each renewable energy source and each electric energy source at different times, and obtain the absolute value of the derivative of the ratio fitting curve at each time as the ratio change rate between each renewable energy source and each electric energy source at each time.

[0049] Constructing a ratio fitting curve can reveal the synergistic law of multiple energy sources and more intuitively reflect the changes in the overall ratio at each moment.

[0050] The derivative can reflect the instantaneous change of the ratio. The larger the absolute value of the derivative, the more drastic the change in the ratio of each electrical energy source, and the greater the ratio change rate, the more analysis is needed.

[0051] It should be noted that, in some embodiments of the present invention, the conversion ratios at all times can be fitted by existing fitting methods such as least squares method or polynomial fitting to obtain a ratio fitting curve, where the horizontal axis is the time and the vertical axis is the overall ratio; the specific least squares method or polynomial fitting algorithm is a technical means well known to those skilled in the art and will not be elaborated here.

[0052] Step S303: Obtaining an update rate at each moment based on the ratio change rate of different renewable energy sources relative to all types of electrical energy at each moment and the stored energy usage of each renewable energy source within a preset time interval.

[0053] By calculating the ratio change rate of energy consumption to electricity, the dynamic characteristics of energy supply and demand imbalance can be captured in real time; the stored energy usage reflects the energy usage.

[0054] Preferably, in one embodiment of the present invention, obtaining the update rate at each moment includes: Obtain the total energy of the energy storage device as the total storage capacity; Obtaining a ratio of the storage energy usage to the total storage capacity of each renewable energy source within each preset time interval as a first ratio within each preset time interval; The average value of the ratio change rate of each renewable energy source relative to all types of electrical energy at each moment is obtained as the overall ratio change level; the product accumulation sum of the overall ratio change level corresponding to different types of renewable energy sources at each moment and the first ratio within the corresponding preset time interval is obtained as the update rate at each moment.

[0055] In one embodiment of the present invention, the update rate is expressed as follows: ; in, Indicates the The update rate of the moment; Indicates the The average change rate of the ratio of renewable energy to all types of electricity energy at each moment, that is, the overall ratio change level; Indicates the Renewable energy in the The stored energy usage within the preset time interval corresponding to the moment; Indicates the Total storage capacity of renewable energy sources; Indicates the number of types of renewable energy.

[0056] In the update rate formula, Indicates calculation of Renewable energy in the The ratio of the storage energy usage to the total storage capacity within the preset time interval corresponding to the moment, i.e. the first ratio, Represents all renewable energy sources in the The product accumulation sum of the overall ratio change level at the time and the first ratio value within the preset time interval, that is, the first The update rate of the moment, the larger the first ratio, the Renewable energy in the The greater the storage energy usage within the preset time interval corresponding to the moment, the greater the demand for energy storage equipment capacity, and the more it needs to be updated at the corresponding moment; the greater the level of overall ratio change, the greater the fluctuation in the change in the renewable energy ratio to electricity energy at that moment, and the more it needs to be updated.

[0057] It should be noted that, in the embodiments of the present invention, the total energy amount of the energy storage device can be pre-acquired by the implementer according to the physical measurement method of the relevant equipment. The specific means are technical means well known to those skilled in the art and will not be elaborated here.

[0058] The greater the update rate at each moment, the more re-forecasting is required. By filtering update moments, the system can focus on key changes, avoid inefficient calculations, and enhance stability. Update moments are filtered based on the update rate at each moment.

[0059] Preferably, in one embodiment of the present invention, the method for obtaining the update time includes: If the update rate at a certain moment is greater than the preset update threshold, the corresponding moment will be used as the update moment.

[0060] It should be noted that, in one embodiment of the present invention, the preset update threshold is 0.75; in other embodiments of the present invention, the size of the preset update threshold can be set according to specific circumstances, which is not limited or elaborated here.

[0061] Step S4: Using the range between adjacent update moments as a new preset time interval range, obtaining a new overall ratio between each renewable energy source and each electrical energy source at each moment, and performing collaborative optimization on the energy units.

[0062] By dynamically adjusting the time interval, the system can respond more sensitively to energy changes. Based on the obtained update time, the time when the ratio changes greatly is reflected. The more it is necessary to use this as the update time to update the forecast of energy data in different ranges, so as to avoid the impact of long-term forecasts on subsequent ratio analysis.

[0063] It should be noted that in another embodiment of the present invention, after obtaining the update time, the energy supply strategy can be dynamically adjusted by calculating the conversion ratio and energy ratio in real time, and the energy data can be re-predicted and analyzed to obtain a new ratio relationship, thereby collaboratively optimizing the energy units, including: The range between adjacent update moments is taken as the new preset time interval range. After re-segmenting the historical data, the energy data within the new preset time interval range is processed in turn to obtain the corresponding new energy data prediction value; and based on the new energy data prediction value, the energy ratio of each electric energy at each moment, as well as the conversion ratio of each renewable energy relative to each electric energy at each moment, are recalculated. Then, the new overall ratio of each renewable energy relative to each electric energy at each moment can be obtained, which is more conducive to the coordinated optimization of energy units and the improvement of energy utilization efficiency.

[0064] In summary, for any energy device, the present invention obtains the energy ratio of each electric energy at each moment according to the energy data distribution of different energy devices within the preset time interval; obtains the conversion ratio of each renewable energy relative to each electric energy at each moment according to the changing trend of the corresponding energy data between each renewable energy relative to different types of electric energy at each moment, and then obtains the overall ratio between the corresponding energy sources at each moment; obtains the update rate at each moment according to the overall ratio distribution of different renewable energy relative to all types of electric energy at different moments and the energy generation at the corresponding moment, and filters out the update moment; takes the range between adjacent update moments as the new preset time interval range, obtains the new overall ratio between each renewable energy relative to each electric energy at each moment, and performs collaborative optimization on the energy unit. The present invention improves the effect of collaborative optimization of energy units by obtaining the appropriate ratio between different energy sources.

[0065] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0066] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for collaborative optimization of energy units for flexible energy supply, characterized in that: The method comprises: Obtaining energy data for different energy devices at each moment, the energy data including energy generation by renewable energy devices and energy usage by electric energy devices; Based on the energy data distribution of different energy devices within a preset time interval, the energy ratio of each type of electricity energy at each moment is obtained; based on the changing trend of the corresponding energy data between each renewable energy source and different types of electricity energy at each moment, the conversion ratio between each renewable energy source and each type of electricity energy at each moment is obtained; The energy ratios are weighted according to the conversion ratios of each renewable energy source relative to each type of electrical energy source at each moment to obtain the overall ratios between the corresponding energy sources at each moment; based on the overall ratio distribution and energy generation of different renewable energy sources relative to all types of electrical energy sources at different moments, the update rate at each moment is obtained, and the update moment is selected; The range between adjacent update moments is used as the new preset time interval range to obtain the new overall ratio between each renewable energy source and each electrical energy source at each moment, and to coordinately optimize the energy units.

2. The method for collaborative optimization of energy units for flexible energy supply according to claim 1, characterized in that: The method for obtaining the energy ratio includes: For any electricity energy, based on the energy data distribution within the preset time interval, the energy data forecast value corresponding to the next moment is obtained; Obtain the cumulative sum of the predicted energy usage values of all the same electrical energy devices at each moment as the total usage; obtain the cumulative sum of the predicted energy generation values of all renewable energy devices at the corresponding moment as the total generation; The ratio of the total amount generated to the total amount used is obtained as the energy ratio of each type of electrical energy at each moment.

3. The method for collaborative optimization of energy units for flexible energy supply according to claim 2, characterized in that: The method for obtaining the energy data prediction value includes: For any energy device, the ARIMA algorithm is used to predict and update the energy data of all moments within the preset time interval in turn, and the predicted value of the energy data for the corresponding number of subsequent intervals starting from the next moment is obtained.

4. The method for collaborative optimization of energy units for flexible energy supply according to claim 1, characterized in that: The method for obtaining the conversion ratio includes: Obtain the conversion efficiency of each renewable energy source relative to each electricity source; obtain the cumulative sum of all energy generated by each identical renewable energy device at each moment and the product of the maximum conversion efficiency of each renewable energy source relative to each electricity source as the energy conversion amount; obtain the difference between the energy generated and the energy conversion amount of each renewable energy source at each moment as the energy surplus; Obtain the cumulative sum of all energy usage at each moment for the same electrical energy device, as well as the ratio of the conversion efficiency of each renewable energy source to each electrical energy source, as the overall energy demand; obtain the difference between the remaining energy amount and the second conversion amount; if the difference is greater than or equal to a preset difference threshold, set the external energy demand to 0; if the difference is less than the preset difference threshold, use the absolute value of the difference result as the external energy demand; The ratio of the energy surplus corresponding to each renewable energy source at each moment to the external energy demand relative to each electric energy source is obtained as a first ratio; the product of the first ratio and the conversion efficiency of each renewable energy source relative to each electric energy source is obtained as the conversion ratio between each renewable energy source and each electric energy source at each moment.

5. The method for collaborative optimization of energy units for flexible energy supply according to claim 1, characterized in that: The method for obtaining the overall ratio includes: The conversion ratio between each renewable energy source and each electric energy source at each moment and the product of the energy ratios of the electric energy sources are obtained as the overall ratio between the corresponding energy sources at each moment.

6. The method for collaborative optimization of energy units for flexible energy supply according to claim 1, characterized in that: The method for obtaining the update rate includes: Obtaining the stored energy usage of each renewable energy source within each preset time interval based on the overall ratio of each renewable energy source to all types of electrical energy at all times within each preset time interval and the energy generated at the corresponding time; Constructing a ratio fitting curve that fits the overall ratio of each renewable energy source to each electricity source at different times, and obtaining the absolute value of the derivative of the ratio fitting curve at each time as the ratio change rate of each renewable energy source to each electricity source at each time; The update rate at each moment is obtained based on the ratio change rate between different renewable energy sources and all types of electrical energy at each moment, and the stored energy usage of each renewable energy source within the corresponding preset time interval.

7. The method for collaborative optimization of energy units for flexible energy supply according to claim 6, characterized in that: The method for obtaining the storage energy usage includes: Obtain the sum of the overall ratios of each renewable energy source to all types of electricity energy at each moment as the energy usage level of each renewable energy source at each moment; The accumulated difference between the energy usage level and the corresponding energy generation of each renewable energy at all times within each preset time interval is obtained as the stored energy usage of each renewable energy within each preset time interval.

8. The method for collaborative optimization of energy units for flexible energy supply according to claim 6, characterized in that: The obtaining of the update rate at each moment includes: Obtain the total energy of the energy storage device as the total storage capacity; Obtaining a ratio of the storage energy usage to the total storage capacity of each renewable energy source within each preset time interval as a first ratio within each preset time interval; The average value of the ratio change rate of each renewable energy source relative to all types of electrical energy at each moment is obtained as the overall ratio change level; the product accumulation sum of the overall ratio change level corresponding to different types of renewable energy sources at each moment and the first ratio within the corresponding preset time interval is obtained as the update rate at each moment.

9. The method for collaborative optimization of energy units for flexible energy supply according to claim 1, characterized in that: The method for obtaining the update time includes: If the update rate of a time is greater than a preset update threshold, the corresponding time is used as the update time.

10. The method for collaborative optimization of energy units for flexible energy supply according to claim 9, characterized in that: The preset update threshold is set to 0.75.

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