Energy management system based on optimized FCM algorithm to realize peak-shifting regulation of air-conditioning load

Abstract

The present invention discloses an energy management system for realizing peak-shifting regulation of air-conditioning load based on an optimized FCM algorithm, and relates to the technical field of energy management. The present invention divides the indoor space into a core area, a transition area, and an outer area according to the temperature change of each area in the indoor space when no air-conditioning is running through a no-load analysis unit, and the load analysis unit obtains the temperature regulation speed values ​​of the core area, the transition area, and the outer area when no one is in the room and the air-conditioning is turned on; the collaborative analysis unit divides the opening and closing stages according to the weather forecast temperature combined with the temperature regulation speed value, and obtains the opening period and the closing period; the regulation unit performs peak-shifting regulation on the air-conditioning in each area of ​​the room according to the temperature regulation speed value, and divides each area of ​​the room into plane and three-dimensional areas, combined with the division of time periods, to achieve multi-dimensional coordination work.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy management, and in particular relates to an energy management system for realizing peak-shifting regulation of air-conditioning load based on an optimized FCM algorithm. Background Art

[0002] With the substantial improvement in the living standards of urban and rural residents, electrical appliances are widely used in thousands of households, and domestic electricity consumption accounts for a high proportion of the total social electricity consumption. With the growing demand for electricity from the three major industries and urban and rural residents, it is easy to cause a shortage of electricity supply. By adopting staggered electricity consumption, the peak electricity load is reduced and the safe operation of the power grid during peak periods is guaranteed.

[0003] For example, Chinese patent CN101105321A provides a remote centralized control method for the terminal ambient temperature and load of a central air-conditioning system, that is, during the operation of the system, the remote server reads the cold source operating power and the terminal ambient temperature collected by the node device, and then summarizes the cold source power and processes the terminal ambient temperature list according to the area, building type and functional area in the building; the control command and the terminal ambient temperature setting value are input into the remote server, and sent to the terminal node device that needs to be controlled, so as to realize the terminal ambient temperature and load control; when the power peak load adjustment is required, the peak adjustment area, peak adjustment amount and peak time period are preset in the remote server, and the remote server sends the peak adjustment command, the terminal ambient temperature setting value and the peak adjustment duration to the terminal node device that needs to be adjusted according to the processing results of the above preset parameters, so as to realize the control of the terminal ambient temperature and the cold source load and complete the peak adjustment of the power load of the power grid.

[0004] For example, Chinese patents CN101090335A, CN104124692A, etc., all provide a peak-shifting adjustment method that limits the use of electrical appliances based on peak power consumption periods, and are unable to adjust the peak power consumption of electrical appliances based on the characteristics of the appliances themselves and the places where the appliances are used. Therefore, an energy management system is provided that realizes peak-shifting adjustment of air-conditioning loads based on an optimized FCM algorithm. Summary of the invention

[0005] The purpose of the present invention is to provide an energy management system based on the optimized FCM algorithm to achieve peak-shifting regulation of air-conditioning loads. By analyzing the areas where electrical appliances are used and combining the division of time periods, the areas are dynamically cross-divided, and the characteristics of the space are analyzed from multiple dimensions such as three-dimensional and two-dimensional to adjust the use of air-conditioning, thereby solving the existing problems.

[0006] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0007] The present invention is an energy management system for realizing peak-shifting regulation of air-conditioning load based on an optimized FCM algorithm, comprising:

[0008] The no-load analysis unit is used to divide the room into a core area, a transition area, and an outer area according to the temperature changes in various areas of the room when no air conditioning is running;

[0009] A load analysis unit, which is used to obtain the temperature adjustment speed values ​​of the core area, the transition area, and the outer area respectively when no one is around and the air conditioner is turned on;

[0010] A collaborative analysis unit, which is used to divide the opening and closing stages according to the weather forecast temperature combined with the temperature adjustment speed value, and obtain the opening period and the closing period;

[0011] The regulating unit is used to perform peak-shifting regulation of the air conditioner in each indoor area according to the start-up period and the temperature regulation speed value.

[0012] Furthermore, the no-load analysis unit performs the following algorithm when dividing the indoor area into a core area, a transition area, and an outer area:

[0013] Step S011: Divide the indoor area into several sub-areas, and mark the sub-areas as Qij, i=1, 2, 3, ..., n, j=1, 2, 3, ..., m, and n and m are both positive integers;

[0014] Step S012: Obtain the temperature change of each sub-area and each time period in the room without air conditioning; calculate the trend temperature Qtij of each time period and each sub-area based on the past seven days, where the trend temperature is the average temperature of the corresponding sub-area in the corresponding time period in the past seven days;

[0015] Step S013: All core areas and outer areas are screened out using the following two methods, specifically:

[0016] For any period of time, the trend temperatures of all sub-areas on the same floor are sorted, and the highest trend temperature Qtmax and the lowest trend temperature Qtmin are obtained; the sub-areas whose difference between the trend temperature and Qtmax is less than or equal to T1 are marked as core areas; the sub-areas whose difference between the trend temperature and Qtmin is less than or equal to T1 are marked as outer areas;

[0017] Then, the trend temperatures of all sub-areas are sorted, and the highest trend temperature ZQtmax and the lowest trend temperature ZQtmin are obtained. The sub-areas whose difference between the trend temperature and ZQtmax is less than or equal to T1 and whose straight-line distance between the two sub-areas is less than or equal to D1 are marked as core areas; the sub-areas whose difference between the trend temperature and ZQtmin is less than or equal to T1 and whose straight-line distance between the two sub-areas is less than or equal to D1 are marked as outer areas;

[0018] If any sub-area obtained by the above two methods is classified into the outer area and the core area respectively, it will be marked as the core area;

[0019] The rest are transition areas, where D1 and T1 are preset values.

[0020] Furthermore, the time periods are divided in the following manner: half an hour is used as one time period, and one day is divided into 48 time periods.

[0021] Furthermore, the time periods are divided according to the flow of people:

[0022] Step S1: Obtain the flow of people in the corresponding indoor area in the past thirty days and calculate the daily average flow of people in each sub-area;

[0023] Step S1: Divide the daily average passenger flow ≤ X2 into the first flow segment;

[0024] Step S2: Divide the area where X2<average daily flow≤X2*1.5 into the second flow segment;

[0025] Step S3: Divide the daily average passenger flow>X2*1.5 into the third flow segment;

[0026] Step S4: Obtain the daily flow of people and the corresponding time of each sub-area in the third flow segment for the past thirty days, and divide the period between the maximum flow of people and the minimum flow of people into D2 periods on average;

[0027] Step S5: Obtain the daily flow of people and the corresponding time of each sub-area in the first flow segment for the past thirty days, and divide the time period between the maximum flow of people and the minimum flow of people into D3 time periods on average. If there is any overlap with any time period in the D2 time periods divided in step S4, the overlapping time period will be preferentially divided into the D2 corresponding time periods;

[0028] Step S6: Obtain the daily flow of people and the corresponding time of each sub-area in the second flow segment for the past thirty days, and divide the time period between the maximum flow of people and the minimum flow of people into D4 time periods on average. If there is any overlap with any time period divided by step S4 and step S5, the overlapping time period is divided into a separate time period;

[0029] Among them, D2, X2, D3, and D4 are all preset values, and D2>D4>D3.

[0030] Further, the load analysis unit performs the following steps when acquiring the temperature adjustment speed value:

[0031] Get the basic temperatures of the core area, transition area, and outer area respectively when no one is around and no air conditioning is turned on;

[0032] Get the minimum required temperature set by the administrator;

[0033] After turning on all air conditioners, the load analysis unit obtains the temperature of the core area, transition area, and outer area once in each period;

[0034] Obtain the fastest time for all sub-areas in the core area to reach the minimum required temperature, and mark it as the temperature adjustment speed value of the core area;

[0035] The slowest time for all sub-areas in the transition area to reach the minimum required temperature is obtained respectively, and the average value of the slowest time obtained and the temperature adjustment speed value of the core area is marked as the temperature adjustment speed value of the transition area;

[0036] The slowest time for all sub-areas in the outer area to reach the minimum required temperature is obtained respectively, and marked as the temperature adjustment speed value of the outer area.

[0037] Furthermore, the collaborative analysis unit executes the following algorithm when acquiring the on time period and the off time period:

[0038] Get the daily average temperature of each sub-area in the room without air conditioning in the past three days;

[0039] If the difference between the daily average temperature and the minimum demand temperature of each sub-area is less than X3, and the difference between the daily average temperature of the weather forecast on that day and the average temperature of the weather forecast in the past three days is less than X3, then that day is a closed period;

[0040] If the daily average temperature of each indoor sub-area is within DT1 degree of the minimum required temperature, and DT1 / V≤T22, then the day is the closed period;

[0041] Otherwise, the current day is the opening period;

[0042] Among them, X3, DT1, and T22 are preset values, DT1>X3, and V is the temperature adjustment speed value of the corresponding area.

[0043] Furthermore, when the regulating unit performs peak-shifting regulation on the air conditioners in various indoor areas, the following algorithm is executed:

[0044] Step T01: Obtain the current minimum temperature of the indoor area, obtain the minimum required temperature and required time point preset by the administrator, and calculate the time qDT between the current temperature and the required time point;

[0045] Step T02: Obtain the temperature adjustment speed value corresponding to the core area, marked as Vh, and calculate the preheating temperature YT, YT=Vh*qDT;

[0046] If the preheating temperature YT is within DT2 degrees of the minimum required temperature, and the time between the required time point and the peak power consumption period GDT>qDT, the air conditioner is turned on for preheating, and the indoor temperature is preheated to the minimum required temperature, and the air conditioner is turned on until the peak power consumption period;

[0047] Step T03: Analyze the indoor temperature loss. According to the analysis results, after entering the peak power consumption period or after each indoor area reaches the minimum required temperature, adjust the air conditioner to maintain the indoor area to meet the minimum required temperature;

[0048] Among them, DT2 is the preset value.

[0049] Furthermore, in step T03, the temperature loss analysis step is as follows:

[0050] Step T031: when entering the peak power consumption period or each area in the room reaches the minimum required temperature, obtain the sub-area corresponding to the maximum temperature value in the room and the sub-area corresponding to the minimum temperature value, and mark them as high temperature sub-area and low temperature sub-area respectively;

[0051] Step T032: If the high temperature sub-area and the low temperature sub-area belong to the core area and the outer area respectively, obtain the historical average flow rate DR1 of the outer area in the current period and the historical average flow rate DR2 of the next period; otherwise, proceed to step T034;

[0052] Step T033: if DR2≤DR1, the air conditioner in the outer area is adjusted to -Tt degrees under cooling conditions and +Tt degrees under heating conditions in the next period of time; otherwise, the air conditioner temperature is not adjusted;

[0053] Step T034: If the relationship between the current maximum temperature and the minimum demand temperature of the core area is: the maximum temperature - the minimum demand temperature ≥ -TZG under cooling conditions, and the maximum temperature - the minimum demand temperature ≥ TZG under heating conditions; and the difference between the current average temperature values ​​of the core area, the transition area, and the outer area is less than 0.2*TZG, and the historical average flow of people in the transition area in the current period GDR1 ≤ the historical average flow of people in the next period GDR2, then in the next period, the air conditioner of the transition area is adjusted to: -1.5*Tt degrees under cooling conditions, and +1.5*Tt degrees under heating conditions, otherwise, the air conditioner temperature is not adjusted;

[0054] Tt and TZG are preset values.

[0055] Furthermore, in step T03, the temperature loss analysis step is as follows:

[0056] Step TT031: when entering the peak power consumption period or when each area of ​​the room reaches the minimum required temperature, obtaining the maximum temperature value and the minimum temperature value of the room;

[0057] Step TT032: If the difference between the maximum temperature and the minimum temperature is less than the preset temperature difference, the air conditioning state is maintained until the next period. If it is still in the peak power consumption period after maintaining two periods, the air conditioning in the core area is adjusted to -Tt degrees under cooling conditions and +Tt degrees under heating conditions in the next period. Otherwise, the air conditioning temperature is not adjusted.

[0058] Step TT033: If the difference between the maximum temperature and the minimum temperature is greater than or equal to the preset temperature difference, and the next time period is in the peak power consumption period, the air conditioner in the area corresponding to the maximum temperature will be adjusted to -Tt degrees under cooling conditions and +Tt degrees under heating conditions in the next time period.

[0059] Furthermore, in step T03, the temperature loss analysis step is as follows:

[0060] Step TTT031: When entering the peak power consumption period or each area in the room reaches the minimum required temperature, obtain the sub-area corresponding to the maximum temperature value in the room and the sub-area corresponding to the minimum temperature value, and mark them as high temperature sub-area and low temperature sub-area respectively;

[0061] Step TTT032: If the high temperature sub-area and the low temperature sub-area belong to the core area and the outer area respectively, obtain the historical average flow of people DR1 of the outer area in the current period. If the historical average flow of people DR1≤DT3, and the historical average flow of people DR3 of the outer area in the peak power consumption period is <DR1, turn off the air conditioner in the peak power consumption period;

[0062] DT3 is the default value.

[0063] The present invention has the following beneficial effects:

[0064] The present invention divides the indoor space into a core area, a transition area and an outer area according to the temperature changes of various indoor areas when no air conditioning is running through a no-load analysis unit. The load analysis unit obtains the temperature adjustment speed values ​​of the core area, the transition area and the outer area when no one is there and the air conditioning is turned on. The collaborative analysis unit divides the start and stop phases according to the weather forecast temperature combined with the temperature adjustment speed value to obtain the start period and the close period. The adjustment unit performs peak-shifting adjustment on the air conditioning in various indoor areas according to the temperature adjustment speed value, divides the indoor areas into two-dimensional and three-dimensional areas, and combines the division of time periods to achieve multi-dimensional coordination, optimize the allocation of power resources, and can also improve the overall efficiency and benefits of power supply, save energy, and ultimately reduce electricity costs, which is of great significance to power users and social and economic development.

[0065] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0067] Figure 1 It is a structural schematic diagram of an energy management system for realizing peak-shifting regulation of air-conditioning load based on an optimized FCM algorithm of the present invention;

[0068] Figure 2 A flow chart for dividing the interior into core area, transition area, and outer area;

[0069] Figure 3 This is a schematic diagram of the indoor core area. DETAILED DESCRIPTION

[0070] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0071] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0072] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0073] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0074] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0075] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0076] See also Figure 1-3 As shown, the present invention is an energy management system for realizing peak-shifting regulation of air-conditioning load based on an optimized FCM algorithm, comprising: a no-load analysis unit, a load analysis unit, a collaborative analysis unit, a regulation unit, and also a database and a processor;

[0077] The no-load analysis unit is used to divide the room into a core area, a transition area, and an outer area according to the temperature changes in various areas of the room when no air conditioning is running;

[0078] A load analysis unit, which is used to obtain the temperature adjustment speed values ​​of the core area, the transition area, and the outer area respectively when no one is around and the air conditioner is turned on;

[0079] A collaborative analysis unit, which is used to divide the opening and closing stages according to the weather forecast temperature combined with the temperature adjustment speed value, and obtain the opening period and the closing period;

[0080] The regulating unit is used to combine with the processor to perform peak-shifting regulation of the air conditioner in each indoor area according to the start-up period and the temperature regulation speed value.

[0081] As an embodiment provided by the present invention, preferably, the no-load analysis unit performs the following algorithm when dividing the room into a core area, a transition area, and an outer area:

[0082] Step S011: Divide the indoor area into several sub-areas, and mark the sub-areas as Qij, i=1, 2, 3, ..., n, j=1, 2, 3, ..., m, n and m are all positive integers, Q11 represents the sub-area on the first floor, area numbered 1, and every two adjacent sub-areas have an isolator, and the isolator includes a wall, a door, and a floor;

[0083] Step S012: Obtain the temperature change of each sub-area and each time period in the room without air conditioning; take the past seven days as the standard, if the temperature drops on any day, and the temperature drop exceeds the preset value T1, then remove the data before the temperature drop, and start from the second day after the temperature drop to calculate seven days later; calculate the trend temperature Qtij of each time period and each sub-area, and the trend temperature is the average temperature of the corresponding sub-area in the corresponding time period in the past seven days;

[0084] Step S013: All core areas and outer areas are screened out using the following two methods, specifically:

[0085] For any period of time, the trend temperatures of all sub-areas on the same floor are sorted, and the highest trend temperature Qtmax and the lowest trend temperature Qtmin are obtained; the sub-areas whose difference between the trend temperature and Qtmax is less than or equal to T1 are marked as core areas; the sub-areas whose difference between the trend temperature and Qtmin is less than or equal to T1 are marked as outer areas;

[0086] Then, the trend temperatures of all sub-areas are sorted, and the highest trend temperature ZQtmax and the lowest trend temperature ZQtmin are obtained. The sub-areas whose difference between the trend temperature and ZQtmax is less than or equal to T1 and whose straight-line distance between the two sub-areas is less than or equal to D1 are marked as core areas; the sub-areas whose difference between the trend temperature and ZQtmin is less than or equal to T1 and whose straight-line distance between the two sub-areas is less than or equal to D1 are marked as outer areas;

[0087] If any sub-area obtained by the above two methods is classified into the outer area and the core area respectively, it will be marked as the core area;

[0088] The rest are transition areas, where D1 and T1 are preset values.

[0089] As an embodiment provided by the present invention, preferably, the time periods are divided in the following manner: half an hour is used as a time period, and a day is divided into 48 time periods.

[0090] As an embodiment provided by the present invention, preferably, the time periods are divided according to the flow of people:

[0091] Step S1: Obtain the flow of people in the corresponding indoor area in the past thirty days. This controlled area can be a shopping mall; calculate the daily average flow of people in each sub-area;

[0092] Step S1: Divide the daily average passenger flow ≤ X2 into the first flow segment;

[0093] Step S2: Divide the area where X2<average daily flow≤X2*1.5 into the second flow segment;

[0094] Step S3: Divide the daily average passenger flow>X2*1.5 into the third flow segment;

[0095] Step S4: Obtain the daily flow of people and the corresponding time of each sub-area in the third flow segment for the past thirty days, and divide the time period between the maximum flow of people and the minimum flow of people into D2 time periods on average;

[0096] Step S5: Obtain the daily flow of people and the corresponding time of each sub-area in the first flow segment for the past thirty days, and divide the time period between the maximum flow of people and the minimum flow of people into D3 time periods on average. If there is any overlap with any time period in the D2 time periods divided in step S4, the overlapping time period will be preferentially divided into the D2 corresponding time periods;

[0097] Step S6: Obtain the daily flow of people and the corresponding time of each sub-area in the second flow segment for the past thirty days, and divide the time period between the maximum flow of people and the minimum flow of people into D4 time periods on average. If there is any overlap with any time period divided by step S4 and step S5, the overlapping time period is divided into a separate time period;

[0098] Among them, D2, X2, D3, and D4 are all preset values, and D2>D4>D3.

[0099] As an embodiment provided by the present invention, preferably, the load analysis unit performs the following steps when acquiring the temperature adjustment speed value:

[0100] Get the basic temperatures of the core area, transition area, and outer area respectively when no one is around and no air conditioning is turned on;

[0101] Get the minimum required temperature set by the administrator;

[0102] After turning on all air conditioners, the load analysis unit obtains the temperature of the core area, transition area, and outer area once in each period;

[0103] Obtain the fastest time for all sub-areas in the core area to reach the minimum required temperature, and mark it as the temperature adjustment speed value of the core area;

[0104] The slowest time for all sub-areas in the transition area to reach the minimum required temperature is obtained respectively, and the average value of the slowest time obtained and the temperature adjustment speed value of the core area is marked as the temperature adjustment speed value of the transition area;

[0105] The slowest time for all sub-areas in the outer area to reach the minimum required temperature is obtained respectively, and marked as the temperature adjustment speed value of the outer area.

[0106] As an embodiment provided by the present invention, preferably, the collaborative analysis unit executes the following algorithm when acquiring the opening period and the closing period:

[0107] Get the daily average temperature of each sub-area in the room without air conditioning in the past three days;

[0108] If the difference between the daily average temperature and the minimum demand temperature of each sub-area is less than X3, and the difference between the daily average temperature of the weather forecast on that day and the average temperature of the weather forecast in the past three days is less than X3, then that day is a closed period;

[0109] If the daily average temperature of each indoor sub-area is within DT1 degree of the minimum required temperature, and DT1 / V≤T22, then the day is the closed period;

[0110] Otherwise, the current day is the opening period;

[0111] Among them, X3, DT1, and T22 are preset values, DT1>X3, and V is the temperature adjustment speed value of the corresponding area.

[0112] As an embodiment provided by the present invention, preferably, when the regulating unit performs peak-shifting regulation on the air conditioners in various indoor areas, the following algorithm is executed:

[0113] Step T01: Obtain the current minimum temperature of the indoor area, obtain the minimum required temperature and required time point preset by the administrator, and calculate the time qDT between the current temperature and the required time point;

[0114] Step T02: Obtain the temperature adjustment speed value corresponding to the core area, marked as Vh, and calculate the preheating temperature YT, YT=Vh*qDT;

[0115] If the preheating temperature YT is within DT2 degrees of the minimum required temperature, and the time between the required time point and the peak power consumption period GDT>qDT, the air conditioner is turned on for preheating, and the indoor temperature is preheated to the minimum required temperature, and the air conditioner is turned on until the peak power consumption period;

[0116] Step T03: Analyze the indoor temperature loss. According to the analysis results, after entering the peak power consumption period or after each indoor area reaches the minimum required temperature, adjust the air conditioner to maintain the indoor area to meet the minimum required temperature;

[0117] Among them, DT2 is the preset value.

[0118] As an embodiment provided by the present invention, preferably, the historical data involved in this embodiment are all obtained from a database.

[0119] As an embodiment provided by the present invention, preferably, in step T03, the temperature loss analysis step is:

[0120] Step T031: when entering the peak power consumption period or each area in the room reaches the minimum required temperature, obtain the sub-area corresponding to the maximum temperature value in the room and the sub-area corresponding to the minimum temperature value, and mark them as high temperature sub-area and low temperature sub-area respectively;

[0121] Step T032: If the high temperature sub-area and the low temperature sub-area belong to the core area and the outer area respectively, obtain the historical average flow rate DR1 of the outer area in the current period and the historical average flow rate DR2 of the next period; otherwise, proceed to step T034;

[0122] Step T033: if DR2≤DR1, the air conditioner in the outer area is adjusted to -Tt degrees under cooling conditions and +Tt degrees under heating conditions in the next period of time; otherwise, the air conditioner temperature is not adjusted;

[0123] Step T034: If the relationship between the current maximum temperature and the minimum demand temperature of the core area is: the maximum temperature - the minimum demand temperature ≥ -TZG under cooling conditions, and the maximum temperature - the minimum demand temperature ≥ TZG under heating conditions; and the difference between the current average temperature values ​​of the core area, the transition area, and the outer area is less than 0.2*TZG, and the historical average flow of people in the transition area in the current period GDR1 ≤ the historical average flow of people in the next period GDR2, then in the next period, the air conditioner in the transition area is adjusted to: -1.5*Tt degrees under cooling conditions, and +1.5*Tt degrees under heating conditions, otherwise, the air conditioner temperature is not adjusted;

[0124] Tt and TZG are preset values.

[0125] As an embodiment provided by the present invention, preferably, in step T03, the temperature loss analysis step is:

[0126] Step TT031: when entering the peak power consumption period or when each area of ​​the room reaches the minimum required temperature, obtaining the maximum temperature value and the minimum temperature value of the room;

[0127] Step TT032: If the difference between the maximum temperature and the minimum temperature is less than the preset temperature difference, the air conditioning state is maintained until the next period. If it is still in the peak power consumption period after maintaining two periods, the air conditioning in the core area is adjusted to -Tt degrees under cooling conditions and +Tt degrees under heating conditions in the next period. Otherwise, the air conditioning temperature is not adjusted.

[0128] Step TT033: If the difference between the maximum temperature and the minimum temperature is greater than or equal to the preset temperature difference, and the next time period is in the peak power consumption period, the air conditioner in the area corresponding to the maximum temperature will be adjusted to -Tt degrees under cooling conditions and +Tt degrees under heating conditions in the next time period.

[0129] As an embodiment provided by the present invention, preferably, in step T03, the temperature loss analysis step is:

[0130] Step TTT031: When entering the peak power consumption period or each area in the room reaches the minimum required temperature, obtain the sub-area corresponding to the maximum temperature value in the room and the sub-area corresponding to the minimum temperature value, and mark them as high temperature sub-area and low temperature sub-area respectively;

[0131] Step TTT032: If the high temperature sub-area and the low temperature sub-area belong to the core area and the outer area respectively, then obtain the historical average flow of people DR1 of the outer area in the current period. If the historical average flow of people DR1≤DT3, and the historical average flow of people DR3 of the outer area during the peak power consumption period is <DR1, then turn off the air conditioner during the peak power consumption period to ensure that I can use the lowest temperature in real time to maintain the lowest temperature of the mall above the basic heating temperature; thereby ensuring that the energy consumption of the mall is reduced and peak-shifting regulation is achieved;

[0132] DT3 is the default value.

[0133] An energy management system that realizes staggered regulation of air-conditioning load based on the optimized FCM algorithm divides the indoor space into a core area, a transition area, and an outer area according to the temperature changes of each indoor area when no air-conditioning is running through the no-load analysis unit. The load analysis unit obtains the temperature regulation speed values ​​of the core area, the transition area, and the outer area when no one is there and the air-conditioning is turned on; the collaborative analysis unit divides the start and stop stages according to the weather forecast temperature combined with the temperature regulation speed value, and obtains the on time period and the off time period; the regulation unit performs staggered regulation of the air-conditioning in each indoor area according to the temperature regulation speed value, divides each indoor area into two-dimensional and three-dimensional areas, and combines the division of time periods to achieve multi-dimensional coordination work, optimize the allocation of power resources, and can also improve the overall efficiency and benefits of power supply, save energy, and ultimately reduce electricity costs, which is of great significance to power users and social and economic development.

[0134] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0135] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An energy management system based on the optimized FCM algorithm to achieve peak-shifting regulation of air-conditioning loads, characterized in that: include: The no-load analysis unit is used to divide the room into a core area, a transition area, and an outer area according to the temperature changes in various areas of the room when no air conditioning is running; A load analysis unit is used to obtain the temperature adjustment speed values ​​of the core area, the transition area, and the outer area respectively when no one is around and the air conditioner is turned on; A collaborative analysis unit is used to divide the opening and closing stages according to the weather forecast temperature combined with the temperature adjustment speed value, and obtain the opening period and the closing period; An adjustment unit is used to adjust the air conditioner in each indoor area according to the opening period and the temperature adjustment speed value to adjust the peak value; The load analysis unit performs the following steps when acquiring the temperature adjustment speed value: Get the basic temperatures of the core area, transition area, and outer area respectively when no one is around and no air conditioning is turned on; Get the minimum required temperature set by the administrator; After turning on all air conditioners, the load analysis unit obtains the temperature of the core area, transition area, and outer area once in each period; Obtain the fastest time for all sub-areas in the core area to reach the minimum required temperature, and mark it as the temperature adjustment speed value of the core area; The slowest time for all sub-areas in the transition area to reach the minimum required temperature is obtained respectively, and the average value of the slowest time obtained and the temperature adjustment speed value of the core area is marked as the temperature adjustment speed value of the transition area; The slowest time for all sub-areas in the outer area to reach the minimum required temperature is obtained respectively, and marked as the temperature adjustment speed value of the outer area.

2. The energy management system for realizing peak-shifting regulation of air-conditioning load based on the optimized FCM algorithm according to claim 1 is characterized in that: The no-load analysis unit divides the room into a core area, a transition area, and an outer area and executes the following algorithm: Step S011: Divide the indoor area into several sub-areas, and mark the sub-areas as Qij, i=1, 2, 3, ..., n, j=1, 2, 3, ..., m, and n and m are both positive integers; Step S012: obtaining the temperature change of each sub-area and each time period in the room without air conditioning; The standard is the past seven days; Calculate the trend temperature Qtij for each time period and each sub-region. The trend temperature is the average temperature of the corresponding sub-region in the corresponding time period over the past seven days. Step S013: All core areas and outer areas are screened out using the following two methods, specifically: For any period of time, sort the trend temperatures of all sub-areas on the same floor, and obtain the highest trend temperature Qtmax and the lowest trend temperature Qtmin; The sub-region where the difference between the trend temperature and Qtmax is less than or equal to T1 is marked as the core region; the sub-region where the difference between the trend temperature and Qtmin is less than or equal to T1 is marked as the outer region; Then, the trend temperatures of all sub-areas are sorted, and the highest trend temperature ZQtmax and the lowest trend temperature ZQtmin are obtained. The sub-areas whose difference between the trend temperature and ZQtmax is less than or equal to T1 and whose straight-line distance between the two sub-areas is less than or equal to D1 are marked as core areas. The sub-areas where the difference between the trend temperature and ZQtmin is less than or equal to T1 and the straight-line distance between the two sub-areas is less than or equal to D1 are marked as the outer area; If any sub-area obtained by the above two methods is classified into the outer area and the core area respectively, it will be marked as the core area; The rest are transition areas, where D1 and T1 are preset values.

3. The energy management system for realizing peak-shifting regulation of air-conditioning load based on the optimized FCM algorithm according to claim 2 is characterized in that: The time periods are divided in the following manner: half an hour is used as one time period, and one day is divided into 48 time periods.

4. The energy management system for realizing peak-shifting regulation of air-conditioning load based on the optimized FCM algorithm according to claim 2 is characterized in that: The time periods are divided according to the flow of people: Step S1: Obtain the flow of people in the corresponding indoor area in the past thirty days and calculate the daily average flow of people in each sub-area; Step S1: Divide the daily average passenger flow ≤ X2 into the first flow segment; Step S2: Divide the area where X2<average daily flow≤X2*1.5 into the second flow segment; Step S3: Divide the daily average passenger flow>X2*1.5 into the third flow segment; Step S4: Obtain the daily flow of people and the corresponding time of each sub-area in the third flow segment for the past thirty days, and divide the period between the maximum flow of people and the minimum flow of people into D2 periods on average; Step S5: Obtain the daily flow of people and the corresponding time of each sub-area in the first flow segment for the past thirty days, and divide the time period between the maximum flow of people and the minimum flow of people into D3 time periods on average. If there is any overlap with any time period in the D2 time periods divided in step S4, the overlapping time period will be preferentially divided into the D2 corresponding time periods; Step S6: Obtain the daily flow of people and the corresponding time of each sub-area in the second flow segment for the past thirty days, and divide the time period between the maximum flow of people and the minimum flow of people into D4 time periods on average. If there is any overlap with any time period divided by step S4 and step S5, the overlapping time period is divided into a separate time period; Among them, D2, X2, D3, and D4 are all preset values, and D2>D4>D3.

5. The energy management system for realizing peak-shifting regulation of air-conditioning load based on the optimized FCM algorithm according to claim 1 is characterized in that: The collaborative analysis unit executes the following algorithm when acquiring the opening period and closing period: Get the daily average temperature of each sub-area in the room without air conditioning in the past three days; If the difference between the daily average temperature and the minimum demand temperature of each sub-area is less than X3, and the difference between the daily average temperature of the weather forecast on that day and the average temperature of the weather forecast in the past three days is less than X3, then that day is a closed period; If the daily average temperature of each indoor sub-area is within DT1 degree of the minimum required temperature, and DT1 / V≤T22, then the day is the closed period; Otherwise, the current day is the opening period; Among them, X3, DT1, and T22 are preset values, DT1>X3, and V is the temperature adjustment speed value of the corresponding area.

6. The energy management system for realizing peak-shifting regulation of air-conditioning load based on the optimized FCM algorithm according to claim 1 is characterized in that: When the regulating unit performs peak-shifting regulation on the air conditioners in various indoor areas, the following algorithm is executed: Step T01: Obtain the current minimum temperature of the indoor area, obtain the minimum required temperature and required time point preset by the administrator, and calculate the time qDT between the current temperature and the required time point; Step T02: Obtain the temperature adjustment speed value corresponding to the core area, marked as Vh, and calculate the preheating temperature YT, YT = Vh*qDT; If the preheating temperature YT is within DT2 degrees of the minimum required temperature, and the time between the required time point and the peak power consumption period GDT>qDT, the air conditioner is turned on for preheating, and the indoor temperature is preheated to the minimum required temperature, and the air conditioner is turned on until the peak power consumption period; Step T03: Analyze the indoor temperature loss. According to the analysis results, after entering the peak power consumption period or after each indoor area reaches the minimum required temperature, adjust the air conditioner to maintain the indoor area to meet the minimum required temperature; Among them, DT2 is the preset value.

7. The energy management system for realizing peak-shifting regulation of air-conditioning load based on the optimized FCM algorithm according to claim 6 is characterized in that: In step T03, the steps of temperature loss analysis are: Step T031: when entering the peak power consumption period or each area in the room reaches the minimum required temperature, obtain the sub-area corresponding to the maximum temperature value in the room and the sub-area corresponding to the minimum temperature value, and mark them as high temperature sub-area and low temperature sub-area respectively; Step T032: If the high temperature sub-area and the low temperature sub-area belong to the core area and the outer area respectively, obtain the historical average flow rate DR1 of the outer area in the current period and the historical average flow rate DR2 of the next period; otherwise, proceed to step T034; Step T033: if DR2≤DR1, the air conditioner in the outer area is adjusted to -Tt degrees under cooling conditions and +Tt degrees under heating conditions in the next period of time; otherwise, the air conditioner temperature is not adjusted; Step T034: If the relationship between the current maximum temperature and the minimum demand temperature of the core area is: the maximum temperature - the minimum demand temperature ≥ -TZG under cooling conditions, and the maximum temperature - the minimum demand temperature ≥ TZG under heating conditions; and the difference between the current average temperature values ​​of the core area, the transition area, and the outer area is less than 0.2*TZG, and the historical average flow of people in the transition area in the current period GDR1 ≤ the historical average flow of people in the next period GDR2, then in the next period, the air conditioner in the transition area is adjusted to: -1.5*Tt degrees under cooling conditions, and +1.5*Tt degrees under heating conditions, otherwise, the air conditioner temperature is not adjusted; Tt and TZG are preset values.

8. The energy management system for realizing peak-shifting regulation of air-conditioning load based on the optimized FCM algorithm according to claim 6 is characterized in that: In step T03, the steps of temperature loss analysis are: Step TT031: when entering the peak power consumption period or when each area of ​​the room reaches the minimum required temperature, obtaining the maximum temperature value and the minimum temperature value of the room; Step TT032: If the difference between the maximum temperature and the minimum temperature is less than the preset temperature difference, the air conditioning state is maintained until the next period. If it is still in the peak power consumption period after maintaining two periods, the air conditioning in the core area is adjusted to -*Tt degrees under cooling conditions and +*Tt degrees under heating conditions in the next period. Otherwise, the air conditioning temperature is not adjusted. Step TT033: If the difference between the maximum temperature and the minimum temperature is greater than or equal to the preset temperature difference, and the next time period is in the peak power consumption period, the air conditioner in the area corresponding to the maximum temperature will be adjusted to -*Tt degrees under cooling conditions and +*Tt degrees under heating conditions in the next time period.

9. The energy management system for realizing peak-shifting regulation of air-conditioning load based on the optimized FCM algorithm according to claim 6 is characterized in that: In step T03, the steps of temperature loss analysis are: Step TTT031: When entering the peak power consumption period or each area in the room reaches the minimum required temperature, obtain the sub-area corresponding to the maximum temperature value in the room and the sub-area corresponding to the minimum temperature value, and mark them as high temperature sub-area and low temperature sub-area respectively; Step TTT032: If the high temperature sub-area and the low temperature sub-area belong to the core area and the outer area respectively, obtain the historical average flow of people DR1 of the outer area in the current period. If the historical average flow of people DR1≤DT3, and the historical average flow of people DR3 of the outer area in the peak power consumption period is <DR1, turn off the air conditioner in the peak power consumption period; DT3 is the default value.

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