A method and system for energy storage power compensation

Abstract

The embodiment of the application discloses a kind of energy storage power compensation method and system, the method comprises: according to the historical power consumption data of target enterprise, the peak time power consumption ratio of target enterprise in peak season is estimated, the daily average peak time power consumption of target enterprise in a year and the target enterprise storage capacity are determined;According to the peak time power consumption ratio of target enterprise in peak season and the daily average peak time power consumption of target enterprise in a year, the peak time power consumption of target enterprise reserved in peak season is determined;According to the peak time power consumption of target enterprise reserved in peak season and the target enterprise storage capacity, the power consumption gap of target enterprise in today's second peak time is determined;According to the power consumption gap of target enterprise in today's second peak time, the target enterprise storage capacity, the valley power consumption of target enterprise in today's first peak time is determined, the target enterprise today's flat section charging capacity is determined;Based on target enterprise today's flat section charging capacity, charge is carried out in the flat section time period between today's peak time. By using the time difference of various electricity prices, more comprehensive energy storage cost reduction than traditional peak clipping and valley filling is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid, in particular to a kind of energy storage power supply method and system. BACKGROUND

[0002] Make full use of energy storage technology, especially power storage technology, is the key direction that current national new policy hopes enterprise transformation.

[0003] The maximum value of power storage device is peak clipping and valley filling, that is, part of load at peak time is moved to valley to achieve supply and demand balance of power generation and power consumption. In addition to reducing cost by combining peak and valley price difference, it can also provide additional power supply current to avoid power consumption peak and excessive power grid pressure, causing tripping, under-voltage and other risks. Reasonable deployment of power storage device is not based on the highest power consumption of individual day, but considers the entire production time, so the power storage device must be lower than the demand in peak season and higher than the demand in off-season. Therefore, the reserved power in peak season will be used up in advance, and all power consumption exceeding the capacity of the power storage device will be high-cost power consumption.

[0004] How to realize a more comprehensive energy storage cost reduction scheme than traditional peak clipping and valley filling is a problem to be solved. SUMMARY

[0005] To this end, the present application provides a kind of energy storage power supply method and system, which realizes more comprehensive energy storage cost reduction than traditional peak clipping and valley filling by utilizing the time difference of each level of electricity price.

[0006] In order to achieve the above-mentioned purpose, the embodiments of the present application provide the following technical scheme:

[0007] According to the first aspect of the present application, a kind of energy storage power supply method is provided, and the method comprises:

[0008] determining the peak time power consumption ratio of target enterprise in peak season, the average daily peak time power consumption of target enterprise in a year and the power storage capacity of target enterprise according to the historical power consumption data of target enterprise;

[0009] determining the peak time power consumption of target enterprise in peak season reserved according to the peak time power consumption ratio of target enterprise in peak season and the average daily peak time power consumption of target enterprise in a year;

[0010] determining the power consumption gap of the second peak time of target enterprise today according to the peak time power consumption of target enterprise in peak season reserved and the power storage capacity of target enterprise;

[0011] determining the charging capacity of target enterprise today according to the power consumption gap of the second peak time of target enterprise today, the power storage capacity of target enterprise, the valley power consumption of the first peak time of target enterprise today;

[0012] Charging the target enterprise in a flat section time period between today peak hours based on the flat section charging amount of the target enterprise today.

[0013] Optionally, the reserved peak hour electricity consumption of the target enterprise in the peak season is determined according to the estimated peak hour electricity consumption ratio of the target enterprise in the peak season and the average daily peak hour electricity consumption of the target enterprise in the whole year, and includes:

[0014] The reserved peak hour electricity consumption of the target enterprise in the peak season is obtained by multiplying the estimated peak hour electricity consumption ratio of the target enterprise in the peak season and the average daily peak hour electricity consumption of the target enterprise in the whole year.

[0015] Optionally, the estimated peak hour electricity consumption ratio of the target enterprise in the peak season is determined according to the estimated peak hour electricity consumption ratio of the whole industry.

[0016] Optionally, the estimated peak hour electricity consumption ratio of the whole industry is determined according to the following formula:

[0017]

[0018]

[0019] Wherein, m is the number of enterprises in the whole industry with statistical historical data, r(i, t) is the electricity consumption change of each time period t based on the annual average electricity consumption data of enterprise i, and Q(i, t) represents the electricity consumption of enterprise i under the condition of t.

[0020] Optionally, the electricity consumption gap of the target enterprise in the second peak hour today is determined according to the reserved peak hour electricity consumption of the target enterprise in the peak season and the electricity storage capacity of the target enterprise, and includes:

[0021] The electricity consumption gap of the target enterprise in the second peak hour today is obtained by subtracting the reserved peak hour electricity consumption of the target enterprise in the peak season from the electricity storage capacity of the target enterprise.

[0022] Optionally, the flat section charging amount of the target enterprise today is determined according to the electricity consumption gap of the target enterprise in the second peak hour today, the electricity storage capacity of the target enterprise, and the valley electricity consumption of the target enterprise in the first peak hour today, and includes:

[0023] The minimum value of the electricity consumption gap of the target enterprise in the second peak hour today, the electricity storage capacity of the target enterprise, and the valley electricity consumption of the target enterprise in the first peak hour today is determined as the flat section charging amount of the target enterprise today.

[0024] Optionally, the average daily peak hour electricity consumption of the target enterprise in the whole year is statistically determined according to the following steps:

[0025] If the historical power consumption data of the target enterprise includes hourly historical power consumption data, the daily average peak-time power consumption of the target enterprise in a year is directly calculated; if the historical power consumption data of the target enterprise only includes daily data and the peak time and the flat section cannot be distinguished, the daily average peak-time power consumption of the target enterprise in a year is determined according to the peak-time power consumption or the total power consumption of the industry statistical average ratio.

[0026] According to a second aspect of the embodiment of the present application, a power storage and power supply system is provided, and the system comprises:

[0027] The data statistics module is configured to determine the peak-time power consumption ratio in the peak season of the target enterprise, the daily average peak-time power consumption of the target enterprise in a year, and the power storage capacity of the target enterprise according to the historical power consumption data of the target enterprise.

[0028] The reserved peak-time power consumption in the peak season module is configured to determine the reserved peak-time power consumption in the peak season of the target enterprise according to the peak-time power consumption ratio in the peak season of the target enterprise and the daily average peak-time power consumption of the target enterprise in a year.

[0029] The power consumption gap module is configured to determine the power consumption gap of the second peak time of the target enterprise today according to the reserved peak-time power consumption in the peak season of the target enterprise and the power storage capacity of the target enterprise.

[0030] The flat section charging capacity module is configured to determine the flat section charging capacity of the target enterprise today according to the power consumption gap of the second peak time of the target enterprise today, the power storage capacity of the target enterprise, and the valley power consumption of the first peak time of the target enterprise today.

[0031] The charging module is configured to charge in the flat section time period between the peak times of the target enterprise today based on the flat section charging capacity of the target enterprise today.

[0032] According to a third aspect of the embodiment of the present application, an electronic device is provided, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the method of the first aspect.

[0033] According to a fourth aspect of the embodiment of the present application, a computer readable storage medium is provided, which stores computer readable instructions executable by a processor to implement the method of the first aspect.

[0034] In summary, the embodiment of the present application provides a kind of energy storage power compensation method and system, by the historical electricity data of target enterprise determines the peak time electricity consumption ratio of target enterprise in peak season, the daily average peak time electricity consumption of target enterprise in a year and the target enterprise storage capacity;According to the peak time electricity consumption of target enterprise in peak season and the daily average peak time electricity consumption of target enterprise, determine the peak time electricity consumption of target enterprise reserved in peak season;According to the peak time electricity consumption of target enterprise in peak season and the target enterprise storage capacity, determine the electricity consumption gap of the second peak time of target enterprise today;According to the electricity consumption gap of the second peak time of target enterprise today, the target enterprise storage capacity, the valley electricity consumption of the first peak time of target enterprise today determines the target enterprise today flat section charging capacity;Based on the target enterprise today flat section charging capacity, charge in the flat section time period between today peak time.It is realized that the energy storage cost is reduced more comprehensively than traditional peak clipping by using the price time difference of each level. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of the provided drawings.

[0036] The structure, proportion, size and the like shown in the specification are only used to cooperate with the content disclosed in the specification, so that those skilled in the art can understand and read, and are not used to limit the conditions that the present application can be implemented, so they do not have technical significance. Any modification of structure, change of proportion relationship or adjustment of size, without affecting the effect and purpose that the present application can produce, should still fall within the scope of the technical content disclosed by the present application.

[0037] Figure 1 A flow chart of a power compensation method provided by the embodiment of the present application is shown;

[0038] Figure 2 A block diagram of a power compensation system provided by the embodiment of the present application is shown;

[0039] Figure 3 A structure diagram of an electronic device provided by the embodiment of the present application is shown;

[0040] Figure 4 A schematic diagram of a computer readable storage medium provided by the embodiment of the present application is shown. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical scheme and advantages of the present application more clear, the present application will be further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0042] It can be understood that the terms "first", "second", etc. used in the present application can be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from another element.

[0043] Common 3-level electricity price distribution can be divided into the following 3 cases:

[0044] Case 1: Only a single peak time period; since the peak time starts, it is not possible to charge at a low cost until the electricity is used up, so there is no further cost reduction space. It is not within the scope of discussion of the embodiments of the present application.

[0045] Case 2: There are multiple peak time periods, but there is a valley time period between the two peaks; for example, since October 15, 2021, Zhejiang 220kV and above large industrial time-of-use electricity price; assuming that the charging speed is sufficient, when encountering the valley time, the energy storage device is filled by default, and the stored electricity is used during the peak time, which is the best charging and discharging scheme. At this time, the multi-peak scenario is equivalent to a single-peak scenario spliced, and like case 1, there is no further cost reduction space, which is not within the scope of discussion of the embodiments of the present application.

[0046] Case 3: There are multiple peak time periods, and there is no valley time period between the peaks, but there is a flat section electricity price time. For example, in March 2022, Jiangsu Province 220kV and above large industrial time-of-use electricity price: valley time price 0.2453 yuan / kWh, flat section electricity price 0.5862 yuan / kWh, peak time electricity price 1.0080 yuan / kWh; this case is within the scope of discussion of the embodiments of the present application.

[0047] Figure 1 A method for energy storage power compensation provided by an embodiment of the present application is shown, and the method comprises:

[0048] Step 101: determining the peak time electricity consumption ratio of the target enterprise in the peak season, the daily average peak time electricity consumption of the target enterprise throughout the year, and the energy storage capacity of the target enterprise according to the historical electricity consumption data of the target enterprise;

[0049] Step 102: determining the reserved peak time electricity consumption of the target enterprise in the peak season according to the peak time electricity consumption ratio of the target enterprise in the peak season and the daily average peak time electricity consumption of the target enterprise throughout the year;

[0050] Step 103: determining the electricity consumption gap of the target enterprise in the second peak time of the day according to the reserved peak time electricity consumption of the target enterprise in the peak season and the energy storage capacity of the target enterprise;

[0051] Step 104: determining the target enterprise's today flat section charging amount according to the target enterprise's today second peak time electricity quantity gap, the target enterprise's storage electricity quantity and the target enterprise's today first peak time valley electricity quantity;

[0052] Step 105: charging in the flat section time period between today peak times based on the target enterprise's today flat section charging amount.

[0053] In a possible implementation, in step 101, the target enterprise's reserved peak time electricity quantity in peak season is determined according to the target enterprise's peak time electricity quantity ratio in peak season estimation and the target enterprise's annual daily average peak time electricity quantity, including:

[0054] The target enterprise's reserved peak time electricity quantity in peak season is obtained by multiplying the target enterprise's peak time electricity quantity ratio in peak season estimation and the target enterprise's annual daily average peak time electricity quantity.

[0055] In a possible implementation, the target enterprise's peak time electricity quantity ratio in peak season estimation is determined according to an industry peak time electricity quantity ratio in peak season estimation.

[0056] In a possible implementation, the industry peak time electricity quantity ratio in peak season estimation is determined according to the following formula:

[0057]

[0058]

[0059] Wherein, m is the number of enterprises in the industry, r(i, t) is the electricity quantity change of each time period t based on the annual average electricity quantity of enterprise i, and Q(i, t) represents the electricity quantity of enterprise i under the condition of t.

[0060] In a possible implementation, in step 103, the target enterprise's today second peak time electricity quantity gap is determined according to the target enterprise's reserved peak time electricity quantity in peak season and the target enterprise's storage electricity quantity, including:

[0061] The target enterprise's today second peak time electricity quantity gap is obtained by subtracting the target enterprise's storage electricity quantity from the target enterprise's reserved peak time electricity quantity in peak season.

[0062] In a possible implementation, in step 104, the target enterprise's today flat section charging amount is determined according to the target enterprise's today second peak time electricity quantity gap, the target enterprise's storage electricity quantity and the target enterprise's today first peak time valley electricity quantity, including:

[0063] The minimum value among the target enterprise's electricity consumption gap at the second peak hour today, the target enterprise's electricity storage capacity, and the target enterprise's valley electricity consumption at the first peak hour today is determined as the target enterprise's flat-term charging capacity today.

[0064] In a possible implementation, the target enterprise's daily average peak electricity consumption throughout the year is calculated according to the following steps:

[0065] If the target enterprise's historical electricity consumption data contains hourly electricity consumption data, the target enterprise's annual average daily peak electricity consumption is directly calculated; if the target enterprise's historical electricity consumption data only contains daily data and it is impossible to distinguish between peak hours and flat periods, the target enterprise's annual average daily peak electricity consumption is determined based on the peak electricity consumption or total electricity consumption of the industry's statistical average ratio.

[0066] The energy storage and charging method provided by the embodiment of the present application is further described in detail below. The solution of the embodiment of the present application mainly discusses the case of two peaks, which is the most common in daily situations. For peaks above two, the discussion can be carried out in order of two adjacent peaks, and so on.

[0067] The embodiments of the present application are set up to illustrate the background situation in actual application, which are as follows: 1. The off-peak electricity price is approximately 0.25 yuan / kWh, the off-peak electricity price is approximately 0.5 yuan / kWh, and the peak electricity price is approximately 1 yuan / kWh. 2. The charging and discharging efficiency is approximately 100%. 3. The battery leakage rate is approximately 0%, that is, the electricity that is not used up on the same day can be used the next day, and the cost will not increase. Therefore, a full charge is used as the initial state every day, and the situation of starting with an incomplete charge is not discussed. 4. Suppose that a company B uses 500 kWh of electricity per hour in the off-peak season and 1000 kWh of electricity per hour in the peak season. 5. Suppose that the company's average daily peak electricity consumption throughout the year is Q (B, the average daily peak hour throughout the year) = 5000 (kWh, and the off-season peak hour is less than 5000 kWh), and the storage battery deployed in this way has a reserve E B =5000(degrees) (Note: E B =Q(B, annual daily average peak hour) is not fixed, so they cannot be mixed in the formula. 6. Assume that the charging speed is exactly equal to 1000 degrees / hour.

[0068] Therefore, considering the above background, the original electricity cost when peak shaving and valley filling without using batteries is:

[0069] C 原始成本 =C 平段 +C 高峰 =0.5×500×(6+2)+1×1000×(3+5)=10000 (yuan)

[0070] The traditional peak shaving and valley filling method is based on the peak-valley shaving and valley filling method. The unit cost reduction result for that day is calculated as follows:

[0071] C 传统 = C 平段 + C 峰时削峰填谷 + C 峰时剩余

[0072] = 0.5 x 500 x (6 + 2) + 0.25 x 5000 + 1 x (1000 x (3 + 5) - 5000) = 6250 (Yuan) ;

[0073] The cost reduction rate: D 传统 = (10000 - 6250) / 10000 = 37.5%.

[0074] It can be seen that when using the traditional peak clipping method, there is a power shortage due to insufficient storage capacity.

[0075] Therefore, it is inferred that if the power is supplemented in the flat section, the gap at the second peak can be made up. However, the price of the flat section is higher than that of the valley, so it cannot be directly supplemented like the valley. If the power is supplemented excessively, the total cost may even be higher than that without power supplementation.

[0076] The embodiments of the present application first define the following parameters:

[0077] Q(i, t) represents the statistical power consumption of enterprise i under condition t.

[0078] r(i, t) represents the comparison of power consumption changes in each period based on the enterprise's own annual average power consumption data. It is equivalent to normalizing the power consumption data of each enterprise, which facilitates horizontal comparison of seasonal and peak seasons, and the amplitude of power consumption.

[0079]

[0080] Or m represents the number of sample enterprises in the industry; taking the average value represents the general rise and fall rule of the entire industry. m represents the range of statistical enterprises, and t represents the range of statistical time. It is assumed that at the first peak, the power consumption Q (a certain enterprise, peak time 1) is used, and 0 < Q (a certain enterprise, peak time 1) < E (a certain enterprise). If the storage device is not enough even for the first peak, it does not affect the process of supplementing power for the second peak, but the calculation is more complex and will not be repeated. Therefore, Q (a certain enterprise, today's peak time 2 gap) = Q (a certain enterprise, today's peak time gap) is not emphasized in the following discussion.

[0081] Ei represents the storage capacity purchased by enterprise i.

[0082] Q (a certain enterprise, today's peak time 1, valley power) = min (Q (a certain enterprise, today's peak time 1), E (a certain enterprise))

[0083] The energy storage power compensation method provided by the embodiments of the present application includes three methods, which are as follows:

[0084] The energy storage power compensation method provided by the embodiments of the present application is as follows:

[0085] 1. Based on industry statistical information, the estimated peak-time electricity consumption ratio R (all industries, peak time in peak season) of the whole industry is calculated, wherein x%>100%; considering the individual differences of enterprises, in order to avoid excessive power compensation and waste and additional costs, the target enterprise's estimated peak-time electricity consumption ratio R (target enterprise, peak time in peak season) is set to be an estimated peak-time electricity consumption ratio between 100% and R (all industries, peak time in peak season), for example, R (target enterprise, peak time in peak season) = (x%+100%) / 2. The target enterprise's annual daily peak-time electricity consumption Q (target enterprise, annual daily peak time) is calculated; and the target enterprise's electricity storage capacity E (target enterprise) is calculated.

[0086] 2. The target enterprise's peak-time electricity consumption in peak season that needs to be reserved is calculated:

[0087] Q (target enterprise, peak time in peak season) = R (target enterprise, peak time in peak season) * Q (target enterprise, annual daily peak time)

[0088] 3. Then, the electricity Q (target enterprise, today's peak time 2 gap) that is the electricity consumption gap of the second peak time of the enterprise is Q (target enterprise, peak time in peak season)-E (target enterprise).

[0089] 4. The electricity Q (target enterprise, flat section charging) to be compensated is min(Q (target enterprise, today's peak time 2 gap), E (target enterprise), Q (target enterprise, today's peak time 1 valley electricity)).

[0090] 5. The electricity Q (target enterprise, flat section charging) is compensated in advance at any low electricity price time (any flat section time between the two peaks in the foregoing case 3), so that the cost can be reduced.

[0091] Using the above method, in actual application, taking enterprise B in the foregoing as an example, assuming that R (all industries, peak time in peak season) = 9 / 5 = 180% is known; then the reserved peak-time electricity consumption ratio R (enterprise B, peak time in peak season) of enterprise B is (R (all industries, peak time in peak season)+100%) / 2 = 7 / 5 = 140%, which corresponds to 1000 degrees of reserved electricity, exceeding the actual peak-time electricity consumption of 800 degrees, which can guarantee the peak-time electricity consumption. Therefore, the available electricity in the flat section is R (enterprise B, peak time in peak season)*5000-5000 = (7 / 5-1)*500 = 2000 (degrees). Finally, the 2000 degrees of electricity is compensated at the flat section time between the two peaks.

[0092] The scheme of the embodiment of the present application is applied after the deployment of the electricity storage device, how to change the charging and discharging decision of the electricity storage device to realize further cost reduction. Therefore, in the calculation process, the focus is on the additional cost reduction effect, and the deployment cost of the electricity storage device is no longer considered.

[0093] The cost after using the method of the embodiment of the present application is:

[0094] C 方案一 =C 平段 +C 峰时削峰填谷 +C 峰时削峰填平 +C 峰时剩余

[0095] = 0.5 x 500 x (6 + 2) + 0.25 x 5000 + 0.5 x 2000 + 1 x (1000 x (3 + 5) - 5000 - 2000)

[0096] = 5250 (yuan)

[0097] Cost reduction rate: D 方案一 = (10000 - 5250) / 10000 = 47.5% > D 传统

[0098] In one possible implementation, the embodiment of the present application also provides a second energy storage power supplement method, specifically as follows:

[0099] 1. Obtain the target enterprise's historical daily peak-time power consumption, and the obtaining method includes but is not limited to:

[0100] a) If there is historical power consumption data accurate to hours or even minutes, the peak-time power consumption can be directly counted.

[0101] b) If there is only daily data and it is impossible to distinguish peak-time and flat-time, then according to the industry statistical average ratio "peak-time power consumption / total power consumption", the daily historical data is approximately converted into peak-time historical data.

[0102] 2. Based on the recent historical peak-time power consumption, select a certain statistical prediction value as the estimated value Q (target enterprise, today's peak-time) of the reserved peak-time power consumption. The specific prediction method includes but is not limited to:

[0103] a) Take the average peak-time power consumption of recent days as today's peak-time power consumption;

[0104] b) Take the maximum peak-time power consumption of recent days as today's peak-time power consumption;

[0105] c) Take the position of the 95% confidence interval of the probability distribution of the peak-time power consumption of recent days as today's peak-time power consumption;

[0106] d) draw the linear fitting line of the power consumption in recent days, take the estimated value today as the peak power consumption today;

[0107] e) predict the peak power consumption today based on historical data using an algorithm model.

[0108] 3. Then Q (target enterprise, peak time 2 gap today) = Q (target enterprise, peak time in peak season) - E (target enterprise) is the power gap of the second peak time of the enterprise;

[0109] 4. Take the power to be supplemented Q (target enterprise, flat section charging) = min (Q (target enterprise, peak time 2 gap today), E (target enterprise), Q (target enterprise, valley power in peak time 1 today)) ;

[0110] 5. Supplement the power Q (target enterprise, flat section charging) in advance at any low electricity price time (in case 3, at any flat section time between two peaks) to achieve cost reduction.

[0111] Apply method two to actual calculation. Take enterprise B in the previous text as an example. Assume that the peak power consumption of enterprise B in the past 3 working days is obtained, which is 8500 degrees, 7500 degrees, and 8000 degrees in turn. Take the average as the peak power consumption prediction Q (enterprise B, peak time today) = 8000 (degrees). Therefore, the second peak time power gap is Q (enterprise B, peak time 2 gap today) = 8000-5000 = 3000 (degrees) ; At the end of the first peak time, we see the battery usage, that is, Q (enterprise B, peak time 1) = 3000 (degrees), so take the smaller one, the actual recommended flat section power Q (target enterprise, flat section charging) = 3000 (degrees) ; Finally, supplement 3000 degrees of electricity in the flat section time between two peaks.

[0112] After the implementation of scheme two, the cost calculation is as follows: 方案二 = C 平段 + C 峰时削峰填谷 + C 峰时削峰填平 + C 峰时剩余

[0113] = 0.5 × 500 × (6 + 2) + 0.25 × 5000 + 0.5 × 3000 + 1 × (1000 × (3 + 5) - 5000 - 3000) = 4750 (yuan) ;

[0114] Cost reduction rate: D 方案二 = (10000-4750) / 10000 = 52.5% > D 方案一 .

[0115] The implementation of Scheme II is based on the ideal situation, however, there are fluctuations in daily power consumption, it is still possible to lack of power storage, or excess power, either of which will increase the cost. But if the end of the peak time every day, there is still a flat section of electricity time, whether the platform can be equivalent to "borrow" the power demand to the front. In a possible implementation, the application embodiment also provides a third method for storing energy to supplement power, as follows:

[0116] 1, obtain the target enterprise historical daily peak power consumption, the method includes but not limited to:

[0117] a) if there is accurate to hours or even minutes of historical power data, then directly on the peak power consumption statistics can be.

[0118] b) if only daily data, can not distinguish peak time flat section, then according to the industry statistical average ratio "peak power consumption / total power consumption", the daily historical data, approximate conversion to peak historical data.

[0119] 2, based on the recent history of peak power consumption, select a statistical prediction value as the estimated value of the reserved peak power consumption Q(target enterprise, today peak time). The specific prediction method includes but not limited to:

[0120] a) take the average peak power consumption of recent days as the peak power consumption of today;

[0121] b) take the maximum peak power consumption of recent days as the peak power consumption of today;

[0122] c) take the position of the 95% confidence interval of the peak power consumption probability distribution of recent days as the peak power consumption of today;

[0123] d) draw a linear fitting line of recent power consumption, take the estimated value of today as the peak power consumption of today;

[0124] e) predict the peak power consumption of today based on historical data using an algorithm model.

[0125] 3, then Q(target enterprise, today peak 2 gap) = Q(target enterprise, peak time in peak season) - E(target enterprise) power is the power gap of the second peak time of the enterprise.

[0126] 4, take the power to be supplemented;

[0127] Q (target enterprise, flat section charging) = min (Q (target enterprise, today's peak 2 gap) ) + ε, Q (target enterprise, peak 1) ) ; ε is an empirical quantity, for example, ε = min (0.2 × (Q (target enterprise, today's peak 1 valley power) - min (Q (target enterprise, today's peak 2 gap) ), Q (target enterprise, today's peak 1), Q (target enterprise, last flat section power consumption) ). It means that the empirical quantity cannot exceed the last flat section power consumption, and within the range of charging capacity, continue to charge (when the second peak gap is greater than the first peak consumption, ε = 0, which corresponds to the flat section being fully charged, there is no redundant charging space, which is consistent with the objective fact).

[0128] 5、Find any low electricity price time in advance (in case 3, any flat section time between two peaks) to supplement the power Q (target enterprise, flat section charging), that is, to achieve cost reduction.

[0129] 6, use the excess power of the storage device in the last flat section (note: flat section time, use the excess power of the storage device in the valley time, which is not discussed in the embodiment of the application, so it is not expanded).

[0130] In scheme three, some redundant power is stored first, and then the excess power in the storage device is used up in the last flat section time. In the case of assuming that the charging and discharging efficiency is close to 100%, the overall cost reduction rate is the same as that of scheme two, but because of the redundant power, it can adapt to the situation that the peak time power consumption fluctuates around the expected value: (1) When the actual peak time power consumption exceeds the expectation, due to overcharging, the peak time power grid power consumption will not be generated. (2) Whether the peak time power consumption exceeds or is lower than the expectation, the excess power supplemented in the flat section can be used up in the last flat section.

[0131] The whole process is equivalent to using the storage device to borrow the last flat section power consumption in advance. Therefore, scheme three increases the robustness without significantly increasing the cost, and the cost reduction rate is still close to the theoretical limit value.

[0132] In order to approximate calculation, it is assumed that the valley time, flat section and peak time electricity price are 0.2, 0.6 and 1.0 respectively, and the charging and discharging efficiency is 1. In a simple case, it is assumed that the target enterprise works from 8:00 to 24:00 every day during the peak season. The peak time power consumption is 10,000 degrees per hour, and the flat section power consumption is 0.5,000 degrees per hour.

[0133] 1, without any storage cost reduction, the daily power consumption cost is: 直接用电 = 6 × 0.5 × 0.6 + (3 + 8) × 1 × 1 = 12.8 (10,000 yuan / day).

[0134] 2, assuming that a storage device with a capacity of 80,000 degrees has been introduced, then the daily power consumption cost is:

[0135] C 削峰填谷用电 = 6 x 0.5 x 0.6 + 3 x 1 x 1 + 8 x 0.2 + C 储能均摊 = 6.4 + C 储能均摊

[0136] Since the premise of purchasing the energy storage device is C 削峰填谷用电 <C 直接用电 , 6.4 + C 储能均摊 <12.8 (ten thousand yuan / day); C 储能均摊 <6.4 (ten thousand yuan / day).

[0137] 3, after using the method provided in the embodiment of the application, the daily cost: C (peak load shifting + flat section power compensation) = 6 x 0.5 x 0.6 + 3 x 1 x 0.6 + 8 x 0.2 + C (energy storage allocation) = 5.2 + C (energy storage allocation).

[0138] It can be seen that after using the present scheme, the cost can be further reduced by 1.2 ten thousand yuan / day based on the original peak load shifting scheme. r (cost reduction rate) = 1.2 / (6.4 + C (energy storage allocation)) > 1.2 / 12.8 = 9.37%.

[0139] In summary, the embodiment of the application provides an energy storage power compensation method, which determines the peak time power consumption ratio of the target enterprise in the peak season, the daily average peak time power consumption of the target enterprise and the energy storage capacity of the target enterprise according to the historical power consumption data of the target enterprise; determines the reserved peak time power consumption of the target enterprise in the peak season according to the peak time power consumption ratio of the target enterprise in the peak season and the daily average peak time power consumption of the target enterprise; determines the power consumption gap of the target enterprise at the second peak time today according to the reserved peak time power consumption of the target enterprise in the peak season and the energy storage capacity of the target enterprise; determines the flat section charging capacity of the target enterprise today according to the power consumption gap of the target enterprise at the second peak time today, the energy storage capacity of the target enterprise and the valley power consumption of the target enterprise at the first peak time today; and charges in the flat section time period between the peak times today based on the flat section charging capacity of the target enterprise today. By utilizing the time difference of electricity prices at different levels, more comprehensive energy storage cost reduction than traditional peak load shifting is achieved.

[0140] Based on the same technical concept, the embodiment of the application also provides an energy storage power compensation system, as shown in Figure 2 The system comprises:

[0141] A data statistics module 201 is configured to determine the peak time power consumption ratio of a target enterprise in a peak season, the daily average peak time power consumption of the target enterprise and the energy storage capacity of the target enterprise according to historical power consumption data of the target enterprise.

[0142] The peak-time electricity consumption reservation module 202 is used to determine the peak-time electricity consumption reserved for the target enterprise according to the peak-time electricity consumption ratio estimated for the peak season and the average daily peak-time electricity consumption of the target enterprise throughout the year;

[0143] The power consumption gap module 203 is used to determine the power consumption gap of the target enterprise during the second peak hour of the day according to the peak power consumption reserved by the target enterprise during the peak season and the target enterprise's power storage capacity;

[0144] The flat-segment charging amount module 204 is configured to determine the target enterprise's flat-segment charging amount today based on the target enterprise's electricity consumption gap during the second peak hour today, the target enterprise's electricity storage capacity, and the target enterprise's valley electricity consumption during the first peak hour today;

[0145] The charging module 205 is configured to charge the target enterprise during the flat period between the peak hours today based on the flat period charging amount of the target enterprise today.

[0146] The present application also provides an electronic device corresponding to the method provided in the above embodiment. Figure 3 , which shows a schematic diagram of an electronic device provided in some embodiments of the present application. The electronic device 20 may include: a processor 200, a memory 201, a bus 202, and a communication interface 203. The processor 200, the communication interface 203, and the memory 201 are connected via the bus 202. The memory 201 stores a computer program executable on the processor 200. When the processor 200 executes the computer program, it executes the method provided in any of the aforementioned embodiments of the present application.

[0147] The memory 201 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. The system network element and at least one other network element are connected via at least one physical port 203 (which may be wired or wireless), and may utilize the Internet, a wide area network, a local area network, a metropolitan area network, or the like.

[0148] The bus 202 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 201 is used to store programs. The processor 200 executes the programs upon receiving execution instructions. The methods disclosed in any of the aforementioned embodiments of the present application may be applied to or implemented by the processor 200.

[0149] The processor 200 can be an integrated circuit chip having a signal processing capability. In the implementation process, each step of the above method can be completed by the integrated logic circuit of hardware in the processor 200 or the instruction in the form of software. The processor 200 described above can be a general processor, including a central processing unit (CPU), a network processor (NP), etc.; can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a ready programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. Each method, step and logic block diagram disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software modules in the code processor for execution. The software module can be located in a random access memory, a flash memory, a read only memory, a programmable read only memory or an electrically erasable programmable memory, a register, etc. The storage medium in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201, and combines the hardware to complete the steps of the above method.

[0150] The electronic device provided by the embodiments of the present application and the method provided by the embodiments of the present application have the same beneficial effects as the method they adopt, run or implement.

[0151] The embodiments of the present application also provide a computer readable storage medium corresponding to the method provided by the preceding embodiments. Please refer to Figure 4 The computer readable storage medium shown is an optical disc 30, and a computer program (i.e. program product) is stored on the optical disc 30. When the computer program is run by a processor, the method provided by any of the preceding embodiments is executed.

[0152] It should be noted that examples of the computer readable storage medium can also include, but are not limited to, a phase change memory (PRAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), other types of random access memory (RAM), a read only memory (ROM), an electrically erasable programmable read only memory (EEPROM), a flash memory or other optical, magnetic storage medium, which will not be described one by one here.

[0153] The computer readable storage medium provided by the above embodiments of the present application and the method provided by the embodiments of the present application have the same beneficial effects as the method adopted, run or implemented by the application program stored therein.

[0154] The algorithms and displays presented herein are not inherently related to any particular computer, virtual apparatus, or other apparatus. Various general purpose systems can be used with programs in accordance with the teachings herein, or it can prove convenient to construct more specialized apparatus to perform the required method steps. The required structure for a variety of these systems will be apparent from the description above. In addition, the present application is not described with reference to any particular programming language. It will be appreciated that a variety of programming languages can be used to implement the teachings of the application as described herein, and any references below to specific languages are provided for disclosure of enablement only.

[0155] In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application can be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been described in detail in order to avoid obscuring the understanding of this description.

[0156] Similarly, it is to be understood that the mechanical details of the application that have been set forth above in the context of a few illustrative embodiments are for purposes of example only and that various modifications, changes and adaptations will be apparent to those skilled in the art. In particular, those skilled in the art will recognize that embodiments of the present application, in its broadest form, can be implemented without copending features. Thus, the foregoing descriptions of embodiments of the application are not intended to be exhaustive or to be necessarily under the scope of the application. While the application has been described above with reference to specific embodiments thereof, it is understood that various modifications and changes can be made thereto without departing from the broader spirit and scope of the application. The foregoing description details specific embodiments of the application. It will be appreciated, however, that those skilled in the art, having the benefit of this disclosure, can readily apply the teachings of the present application for the purposes for which it was intended. In particular, those skilled in the art will recognize that the application has broad applicability and can be used in a variety of ways not specifically described in the foregoing description.

[0157] Those skilled in the art will appreciate that the modules in the apparatuses in the embodiments can be adapted and placed in one or more apparatuses other than the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and further can be divided into more sub-modules or sub-units or sub-components. Any combination of all the features disclosed in the specification (including the accompanying claims, abstract and drawings), and any method or apparatus so disclosed, can be made unless the contrary is clearly indicated by the context of the specification (including the accompanying claims, abstract and drawings), by express language, or by necessary implication. Each feature disclosed in the specification (including the accompanying claims, abstract and drawings), or any combination of features disclosed in the specification (including the accompanying claims, abstract and drawings), can be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

[0158] Furthermore, those skilled in the art will recognize that, while certain embodiments described herein include certain features, not all embodiments include all of these features. Those skilled in the art will also recognize that the claims can be directed to one of the embodiments in this specification, and so each of the features need not be included in the claims for the claims to be valid. Although each of the embodiments describe above can stand on its own, the features of one embodiment can be combined with the features of another embodiment to form a new embodiment.

[0159] Various component embodiments of the present application can be implemented in hardware, or as software modules running in one or more processors, or in combinations thereof. Those skilled in the art will appreciate that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components of the apparatus for creating a virtual machine according to the embodiments of the present application. The present application can also be implemented as a program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein on a device or an apparatus. Such a program implementing the present application can be stored on a computer readable medium, or can be in the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier wave, or in any other form.

[0160] It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design many alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word 'comprising' does not exclude the presence of elements or steps not listed in a claim. The word 'a' or 'an' preceding an element does not exclude the presence of a plurality of such elements. The application can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the claims, the word 'first','second', 'third', etc. does not limit the number for these elements. These words are only used to distinguish between alternative claims.

[0161] Those skilled in the art will understand that all or part of the processes of the above-mentioned embodiments can be completed by instructing relevant hardware by a computer program, which can be stored in a computer readable storage medium, and the program can include the processes of the above-mentioned embodiments when executed.

[0162] Any combination of the technical features in the above-described embodiments can be made, and for the sake of brevity, not all possible combinations are described, however, as long as the combination of the technical features does not exist in contradiction, it shall be considered within the scope of the present disclosure.

[0163] The above-described embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it shall not be understood as a limitation on the patent scope of the present application. It shall be pointed out that, for ordinary skilled persons in the art, several modifications and improvements can be made without departing from the concept of the present application, and these shall be within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method for storing and replenishing energy, characterized in that: The method comprises: Determine the target enterprise's estimated peak-time electricity consumption ratio during the peak season, the target enterprise's average daily peak-time electricity consumption throughout the year, and the target enterprise's electricity storage capacity based on the target enterprise's historical electricity consumption data; the peak-time electricity consumption ratio during the peak season is the ratio of the target enterprise's estimated peak-time electricity consumption during the peak season to the target enterprise's average daily peak-time electricity consumption throughout the year; Determine the target enterprise's reserved peak-time electricity consumption in the peak season based on the target enterprise's estimated peak-time electricity consumption ratio in the peak season and the target enterprise's average daily peak-time electricity consumption throughout the year; Determine the target enterprise's electricity consumption gap for the second peak hour today based on the target enterprise's reserved peak-season electricity consumption and the target enterprise's electricity reserves; Determine the target enterprise's current flat-term charging capacity based on the target enterprise's current second peak electricity consumption gap, the target enterprise's current storage capacity, and the target enterprise's current first peak valley electricity consumption; wherein the target enterprise's current flat-term charging capacity is the minimum value of the following three parameters: the target enterprise's current second peak electricity consumption gap; the target enterprise's current storage capacity minus the current charged capacity; and the current first peak valley electricity consumption. Charging is performed during the flat period between today's peak hours based on the target enterprise's flat period charging volume today.

2. The method according to claim 1, wherein The target enterprise's peak-time electricity consumption during the peak season is determined based on its estimated peak-time electricity consumption ratio during the peak season and its average daily peak-time electricity consumption throughout the year, including: The peak-time electricity consumption ratio of the target enterprise in the peak season is multiplied by the target enterprise's daily average peak-time electricity consumption throughout the year to obtain the target enterprise's reserved peak-time electricity consumption in the peak season.

3. The method according to claim 1, wherein The estimated peak-time electricity consumption ratio of the target enterprise during the peak season is determined based on the estimated peak-time electricity consumption ratio of the entire industry.

4. The method according to claim 3, wherein The estimated peak electricity consumption ratio for the entire industry is determined according to the following formula: Among them, m is the number of companies in the industry for which historical data are collected. is the change in electricity consumption in each period t based on the annual average electricity consumption data of enterprise i, It represents the electricity consumption of enterprise i under condition t. The statistical period t is the peak period of electricity consumption and the peak period of the peak season in the area where the target enterprise is located.

5. The method according to claim 1, wherein The determination of the target enterprise's electricity consumption gap during the second peak hour of the day based on the target enterprise's reserved peak hour electricity consumption during the peak season and the target enterprise's electricity reserves includes: The target enterprise's reserved peak-time electricity consumption in the peak season is subtracted from the target enterprise's stored electricity to obtain the target enterprise's electricity consumption gap during the second peak period today.

6. The method according to claim 1, wherein The annual average daily peak electricity consumption of the target enterprise is calculated according to the following steps: If the target enterprise's historical electricity consumption data contains hourly electricity consumption data, the target enterprise's annual average daily peak electricity consumption is directly calculated; if the target enterprise's historical electricity consumption data only contains daily data and it is impossible to distinguish between peak hours and flat periods, the target enterprise's annual average daily peak electricity consumption is determined based on the peak electricity consumption or total electricity consumption of the industry's statistical average ratio.

7. An energy storage and power replenishment system, characterized in that: The system comprises: The data statistics module is used to determine the target enterprise's peak-time electricity consumption ratio during the peak season, the target enterprise's average daily peak-time electricity consumption throughout the year, and the target enterprise's electricity storage capacity based on the target enterprise's historical electricity consumption data; the peak-time electricity consumption ratio during the peak season is the ratio of the target enterprise's estimated peak-time electricity consumption during the peak season to the target enterprise's average daily peak-time electricity consumption throughout the year; The module for reserving peak-time electricity consumption in the peak season is used to determine the target enterprise's reserved peak-time electricity consumption in the peak season based on the target enterprise's estimated peak-time electricity consumption ratio in the peak season and the target enterprise's average daily peak-time electricity consumption throughout the year; The electricity consumption gap module is used to determine the electricity consumption gap of the target enterprise during the second peak hour of the day according to the peak electricity consumption reserved by the target enterprise during the peak season and the target enterprise's stored electricity; The flat-segment charging capacity module is used to determine the target enterprise's flat-segment charging capacity today based on the target enterprise's power consumption gap at the second peak hour today, the target enterprise's power storage capacity, and the target enterprise's valley power consumption at the first peak hour today; wherein the target enterprise's flat-segment charging capacity today is the minimum value of the following three parameters: the target enterprise's power consumption gap at the second peak hour today; the target enterprise's remaining rechargeable capacity after deducting the amount charged today from the target enterprise's power storage capacity; and the valley power consumption at the first peak hour today. The charging module is used to charge the target enterprise during the flat period between the peak hours today based on the flat period charging amount of the target enterprise today.

8. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that Computer-readable instructions are stored thereon, and the computer-readable instructions can be executed by a processor to implement the method according to any one of claims 1 to 6.

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