A power control and regulation system

Abstract

The present invention discloses a power control and regulation system, comprising: a data acquisition unit, a preprocessing module, a real-time acquisition unit, a control processing unit, and a control execution unit. The present invention relates to the technical field of power regulation. In the periodic time period, by calculating the power regulation coefficient, the present invention can accurately determine whether the output power needs to be increased or decreased according to the output power and power factor of the power supply bus, as well as the standard power consumption in the periodic time period, avoiding the situation of power waste or insufficient supply; in the non-periodic time period, it can collect environmental data in real time, and calculate the personnel quantity standard influence factor and the temperature standard influence factor by integrating the power usage data and environmental data within multiple specified periods, so as to estimate the power consumption in the non-periodic time period and achieve more scientific and accurate power regulation. This method fully considers the influence of environmental factors such as personnel quantity and temperature on power consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of power regulation, and specifically to a power control and regulation system. Background Art

[0002] In today's society, the efficient utilization and precise control of electricity are of crucial significance for energy conservation, emission reduction, cost reduction, and ensuring the stable operation of the power system. With the continuous expansion of the scale of various office buildings and other places, the power consumption is increasing day by day, and the traditional power control methods are difficult to meet the needs of refined management. In the previous power control system, there is often a lack of real-time and comprehensive collection of power usage data and environmental data, and it is impossible to accurately understand the power consumption of different regions at different times, making it difficult to perform precise power regulation according to actual needs.

[0003] For example, in some office buildings, there are obvious differences in the power usage patterns of different regions such as office areas, meeting rooms, and public rest areas. However, due to the lack of effective data collection and analysis means, it is impossible to perform targeted power control according to the characteristics of these regions, resulting in frequent power waste or insufficient power supply.

[0004] In summary, there are many deficiencies in the existing power control methods, and it is impossible to achieve efficient and precise control of the power of office buildings and other places. Therefore, there is an urgent need for an innovative power control and regulation system to solve these problems. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a power control and regulation system, which solves the problems raised in the background art.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A power control and regulation system, comprising:

[0007] A data collection unit, configured to collect power usage data and environmental data in real time at a target location;

[0008] The power usage data includes current parameters and voltage parameters of each region within the target location, and the environmental data includes temperature parameters and the number of people in each region within the target location;

[0009] A preprocessing module, configured to preprocess the power usage data in multiple preset standard time periods within multiple specified cycles, and then determine the periodicity of each standard time period within the multiple specified cycles according to the preprocessing results. The standard time periods with periodicity are recorded as periodic time periods, and the standard time periods without periodicity are recorded as non-periodic time periods;

[0010] The real-time acquisition unit is used to acquire the current environmental data of the target site in real time during the aperiodic period;

[0011] The control and processing unit is used to process and obtain the power adjustment coefficient of the corresponding area during the periodic period according to the power usage data; at the same time, according to the power usage data, environmental data, and current environmental data within multiple specified periods, the power adjustment coefficient of the corresponding area is processed and obtained during the aperiodic period;

[0012] The control execution unit is used to adjust the power of each area during the corresponding standard period through the controller according to the power adjustment coefficient obtained by each area during the corresponding standard period.

[0013] Preferably, the preprocessing method is as follows. Select an area:

[0014] Step01. In this area, obtain the power usage data within multiple preset standard periods from multiple specified periods;

[0015] Step02. In each specified period, in the order of time, add the first serial number coding to each standard period within each specified period;

[0016] Among them, each specified period contains standard periods with the same first serial number coding;

[0017] Step03. According to the power usage data obtained within multiple preset standard periods from multiple specified periods, and combining with the electric energy calculation formula, calculate the consumed electric energy of each preset standard period within each specified period;

[0018] Step04. In multiple specified periods, extract the consumed electric energy of the standard periods corresponding to the same first serial number coding;

[0019] Then calculate the electric energy difference between the consumed electric energies of the standard periods corresponding to the same first serial number coding within each specified period;

[0020] Step05. Mark all the electric energy differences as DCi, i = 1, 2,... n, where n represents the number of electric energy differences;

[0021] Then, using the variance calculation formula, calculate the deviation value L1 of the corresponding n groups of electric energy differences DCi. In the formula, || refers to taking the absolute value of the value in the parentheses, and DCp refers to the average value of all DCi participating in the calculation of L1;

[0022] Step06. Compare the deviation value L1 with the preset deviation threshold L1y:

[0023] If L1 > L1y, it means that the dispersion degree of the n groups of electric energy differences DCi is large;

[0024] Next, delete the corresponding DCi values in descending order of |DCi - DCp| and calculate the remaining deviation value L1 accordingly until L1 ≤ L1y;

[0025] After that, when L1 ≤ L1y, obtain the number of deleted DCi, then divide this number by n, and record the calculated result as the periodicity determination coefficient;

[0026] Step07. Compare the periodicity determination coefficient with a preset periodicity determination threshold. According to the comparison result, divide the corresponding standard time period into a periodic time period and a non - periodic time period.

[0027] Preferably, in Step03, the electric energy calculation formula is: W = U * I * t, and calculate the consumed electric energy W of each standard time period;

[0028] where U represents the average value of the voltage parameters real - time collected at each time node within the corresponding standard time period, I represents the average value of the current parameters real - time collected at each time node within the corresponding standard time period, and t represents the duration within the standard time period.

[0029] Preferably, in Step07, if the periodicity determination coefficient is greater than the preset periodicity determination threshold, then mark the standard time period corresponding to the same first - serial - number coding as a non - periodic time period;

[0030] If the periodicity determination coefficient is less than or equal to the preset periodicity determination threshold, then mark the standard time period corresponding to the same first - serial - number coding as a periodic time period.

[0031] Preferably, the method for obtaining the power adjustment coefficient within the periodic time period in the control processing unit is as follows: select a region;

[0032] SA1. Obtain the output power and power factor of the power supply bus of this region, and mark the output power and power factor of the power supply bus of this region as Ps and Py respectively;

[0033] SA2. In multiple specified cycles, extract the current parameters and voltage parameters of all periodic time periods corresponding to the same first - serial - number coding, and calculate the power consumption P within each periodic time period respectively through P = U * I;

[0034] And mark the power consumption within each periodic time period as Pj, where j = 1, 2, …… m;

[0035] SA3. Use the variance calculation formula to calculate the deviation value L2 of the corresponding m groups of power consumption Pj. In the formula, || refers to taking the absolute value of the value within the brackets, and Pp refers to the average value of all Pj participating in the calculation of L2;

[0036] SA4. Compare the deviation value L2 with a preset deviation threshold L2y:

[0037] If L2 > L2y, it indicates that the discreteness of the m sets of power consumption Pj is large. Then, delete the corresponding Pj values in descending order of |Pj - Pp| and calculate the remaining deviation value L2 accordingly until L1 ≤ L2y. After that, when L2 ≤ L2y, obtain the Pj values involved in calculating the corresponding L2, calculate the average value of all the corresponding Pj, and then mark this value as the standard power consumption P0 for the corresponding periodic time period.

[0038] SA5. Calculate the power adjustment coefficient of this area through Pt = |Ps * Py - P0|.

[0039] Preferably, the method for obtaining the power adjustment coefficient during the non-periodic time period in the control processing unit is as follows. Select an area;

[0040] SB1. During the non-periodic time periods corresponding to multiple specified cycles, extract the temperature parameters and the number of people in the standard time period corresponding to the same first serial number code;

[0041] SB2. During the non-periodic time periods corresponding to multiple specified cycles, extract the consumed electric energy corresponding to the same first serial number code in all standard time periods;

[0042] SB3. First, select the consumed electric energy with the minimum value in a standard time period as the basic electric energy;

[0043] Then, calculate the difference between the consumed electric energy of other standard time periods and the basic electric energy, and mark it as the electric energy analysis difference;

[0044] At the same time, use the temperature parameter and the number of people in this standard time period as the basic temperature value and the basic number of people value respectively;

[0045] Then, calculate the difference between the temperature parameter of other standard time periods and the basic temperature value, and mark it as the temperature analysis difference, and calculate the difference between the number of people and the basic number of people value, and mark it as the number of people analysis difference;

[0046] SB4. In multiple standard time periods corresponding to the same temperature analysis difference, calculate the standard influence factor of the number of people based on multiple sets of electric energy analysis differences and number of people analysis differences between two standard time periods;

[0047] SB5. In multiple standard time periods corresponding to the number of people analysis difference, calculate the standard influence factor of the temperature based on multiple sets of electric energy analysis differences and temperature analysis differences between two standard time periods in the same way as SB4;

[0048] SB6. During the aperiodic time periods corresponding to multiple specified cycles, respectively calculate the standard electric energy corresponding to the standard time period for each specified cycle based on the consumed electric energy, temperature parameters, and personnel quantity of all standard time periods corresponding to the same first serial number coding, calculate the average value of the standard electric energy corresponding to the standard time period for all specified cycles, and use it as the calculated standard electric energy.

[0049] SB7. Estimate the consumed electric energy of the current environment data collected in real time in the current area based on the initial node of the real-time acquisition unit during this aperiodic time period, and obtain the estimated consumed electric energy Pg:

[0050] SB8. Calculate the power adjustment coefficient of this area through Pt = |Ps * Py - Pg|.

[0051] Preferably, in SB4, the calculation method of the personnel quantity standard influence factor is as follows:

[0052] Select two standard time periods, and mark the electric energy analysis differences within these two standard time periods as DF1 and DF2 respectively; at the same time, mark the selected personnel quantity analysis differences within these two standard time periods as RF1 and RF2 respectively;

[0053] Then calculate the personnel quantity influence coefficient RY corresponding to these two standard time periods through RY = |DF1 - DF2| / |RF1 - RF2|;

[0054] By analogy, for multiple corresponding to the same temperature analysis difference, select the electric energy analysis differences and personnel quantity analysis differences within other two standard time periods, and calculate the personnel quantity influence coefficients corresponding to the other two standard time periods;

[0055] Finally, obtain the average value of all the obtained personnel quantity influence coefficients, and mark it as the personnel quantity standard influence factor;

[0056] Preferably, in SB6, the calculation method of the calculated standard electric energy is as follows:

[0057] Select a specified cycle, and at the same time set a standard temperature parameter and a standard personnel quantity. The standard temperature parameter and the standard personnel quantity are fixed values, and their values are 22.5 °C and 0 respectively;

[0058] Through:

[0059] The first calculation formula: Calculated temperature = |Temperature parameter - Standard temperature parameter|

[0060] The second calculation formula: Calculated personnel quantity = |Personnel quantity - Standard personnel quantity|

[0061] The third calculation formula: Standard electric energy = Consumed electric energy - Calculated temperature * Temperature standard influence factor - Calculated personnel quantity * Personnel quantity standard influence factor

[0062] Calculate the standard electric energy corresponding to the specified period for this standard time period;

[0063] Preferably, the calculation method of the estimated power consumption is as follows:

[0064] SB71. Substitute the temperature parameter and the number of people in the current environmental data into the first calculation formula and the second calculation formula respectively to obtain the corresponding calculated temperature and the calculated number of people;

[0065] SB72. Replace the standard electric energy in the third calculation formula with the calculated standard electric energy, substitute the calculated temperature and the calculated number of people in SB71 into the replaced third calculation formula, then perform reverse deduction to obtain the estimated power consumption of the current standard time period, and then divide the estimated power consumption by t to obtain the estimated power consumption Pg of this non-periodic time period.

[0066] Preferably, the control processing unit is further configured to judge whether to increase or decrease the power adjustment according to the positive or negative value of Ps*Py - P0 and / or Ps*Py - Pg;

[0067] During the periodic time period:

[0068] If the calculation result of Ps*Py - P0 is positive, it means that the output power of this area needs to be lowered;

[0069] If the calculation result of Ps*Py - P0 is negative, it means that the output power of this area needs to be increased;

[0070] During the non-periodic time period:

[0071] If the calculation result of Ps*Py - Pg is positive, it means that the output power of this area needs to be lowered;

[0072] If the calculation result of Ps*Py - Pg is negative, it means that the output power of this area needs to be increased.

[0073] The present invention provides a power control and regulation system. Compared with the prior art, it has the following beneficial effects:

[0074] Accurate power data collection and analysis: By installing current and voltage sensors, temperature sensors and personnel counting sensors in various areas of the target office building, power usage data and environmental data can be collected in real time and comprehensively. This helps to deeply understand the power consumption situation in different areas and the impact of environmental factors on power consumption, providing a solid data foundation for subsequent accurate control.

[0075] Scientifically distinguish between periodic and non-periodic time periods: By using complex and precise algorithms to process and analyze power usage data, it is possible to accurately determine periodic and non-periodic time periods. This enables more targeted power adjustment strategies to be adopted at different times, improving the scientific nature and rationality of power control.

[0076] Efficient power adjustment: During periodic time periods, by calculating the power adjustment coefficient, it is possible to accurately determine whether the output power needs to be increased or decreased based on the output power and power factor of the power supply bus, as well as the standard power consumption during periodic time periods, achieving efficient power adjustment and avoiding power waste or insufficient supply.

[0077] Adjustment during non-periodic time periods that fully considers environmental factors: During non-periodic time periods, it is possible to collect environmental data in real time and, by integrating power usage data and environmental data over multiple specified periods, calculate the standard impact factors for the number of people and temperature, thereby estimating the power consumption during non-periodic time periods and achieving more scientific and accurate power adjustment. This approach fully considers the impact of environmental factors such as the number of people and temperature on power consumption, further improving the accuracy and efficiency of power control.

[0078] Energy conservation, emission reduction, and cost reduction: Through precise power control and adjustment, it is possible to effectively reduce unnecessary power consumption, achieving energy conservation and emission reduction. At the same time, reasonable power distribution also helps to reduce power usage costs, bringing economic benefits to enterprises and society.

[0079] Improve system stability and reliability: Precise power adjustment can ensure the stable operation of the power system, reduce equipment failures and damages caused by power fluctuations or overloads, improve the reliability and stability of the power system, and extend the service life of equipment.

[0080] Intelligent management and convenient operation: The entire system realizes intelligent power control, reducing the possibility of manual intervention and misoperation. Operators can easily achieve effective management of power based on the data analysis and adjustment suggestions provided by the system, improving work efficiency and management level. Description of the Drawings

[0081] Figure 1 It is a system block diagram of the present invention. Detailed Implementation Manner

[0082] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. Embodiment

[0083] Please refer to Figure 1 , the present invention provides a technical solution: a power control and regulation system, including:

[0084] A data acquisition unit for real-time collecting power usage data and environmental data at a target site;

[0085] The power usage data includes current parameters and voltage parameters of each area within the target site, and the environmental data includes temperature parameters and the number of people in each area within the target site;

[0086] In this embodiment, the target site is designated as a target office building, and each area is designated as office areas, meeting rooms, public rest areas, etc. distributed in the target office building.

[0087] For example, current and voltage sensors are installed on power sockets and electrical equipment in each area to monitor power usage data;

[0088] Temperature sensors and personnel counting sensors are installed in each area to obtain environmental data;

[0089] A preprocessing module for preprocessing the power usage data;

[0090] The specific processing method is as follows. Taking one area as an example:

[0091] Step01. In this area, obtain power usage data within multiple preset standard time periods from multiple specified periods;

[0092] In this embodiment, one specified period is designated as a working day;

[0093] Step02. Select one area as an example. In each specified period, in the order of time, add a first serial number code to each standard time period within each specified period;

[0094] Among them, each specified period contains standard time periods with the same first serial number code;

[0095] Step03. According to the power usage data obtained within multiple preset standard time periods from multiple specified periods, and in combination with the electric energy calculation formula, calculate the consumed electric energy of each preset standard time period within each specified period;

[0096] Taking a specified period as an example, within this specified period, the consumed electric energy W for each standard time period is calculated through W = U * I * t;

[0097] Where U represents the average value of the voltage parameters collected in real time at each time node within the corresponding standard time period, I represents the average value of the current parameters collected in real time at each time node within the corresponding standard time period, and t represents the duration within the standard time period;

[0098] Step04. Among multiple specified periods, extract the consumed electric energy of the standard time periods corresponding to the same first serial number code;

[0099] Subsequently, calculate the electric energy difference between the consumed electric energies of the standard time periods corresponding to the same first serial number code within each specified period;

[0100] In this embodiment, the number of electric energy differences is n = m(m - 1) / 2, where m represents the number of all specified periods;

[0101] The calculation process of the electric energy difference between the consumed electric energies of the standard time periods corresponding to the same first serial number code is as follows:

[0102] First, calculate the difference between the consumed electric energy of the standard time period corresponding to the same first serial number code in the 1st specified period and the corresponding consumed electric energies in the 2nd to the mth periods respectively, to obtain m - 1 groups of corresponding electric energy differences;

[0103] Next, calculate the difference between the consumed electric energy of the standard time period corresponding to the same first serial number code in the 2nd specified period and the corresponding consumed electric energies in the 3rd to the mth periods respectively, to obtain m - 2 groups of corresponding electric energy differences;

[0104] And so on...

[0105] Finally, calculate the difference between the consumed electric energy of the standard time period corresponding to the same first serial number code in the (m - 1)th specified period and the corresponding consumed electric energy in the mth period, to obtain 1 group of corresponding electric energy differences;

[0106] Step05. Mark all the electric energy differences as DCi, where i = 1, 2,..., n, and n represents the number of electric energy differences; Subsequently, use the formula , to calculate the deviation value L1 of the corresponding n groups of electric energy differences DCi. In the formula, || refers to taking the absolute value of the value within the brackets, and DCp refers to the average value of all DCi participating in the calculation of L1;

[0107] Step06. Compare the deviation value L1 with the preset deviation threshold L1y:

[0108] If L1 > L1y, it indicates that the degree of dispersion of the n groups of electric energy differences DCi is large;

[0109] Next, delete the corresponding DCi values in the order from largest to smallest of |DCi - DCp|, and calculate the remaining deviation value L1 correspondingly until L1 ≤ L1y;

[0110] After that, when L1 ≤ L1y, obtain the number of deleted DCi, then divide this number by n, and record the calculated result as the periodicity determination coefficient;

[0111] Step07. Compare the periodicity determination coefficient with a preset periodicity determination threshold:

[0112] If the periodicity determination coefficient is greater than the preset periodicity determination threshold, mark the corresponding standard time period with the same first serial number code as a non-periodic time period;

[0113] If the periodicity determination coefficient is less than or equal to the preset periodicity determination threshold, mark the corresponding standard time period with the same first serial number code as a periodic time period;

[0114] A control processing unit, configured to obtain a power adjustment coefficient of a corresponding area during a periodic time period according to power usage data;

[0115] The method is as follows: taking one area as an example;

[0116] SA1. Obtain the output power and power factor of the power supply bus of this area, and mark the output power and power factor of the power supply bus of this area as Ps and Py respectively;

[0117] SA2. In multiple specified periods, extract the current parameters and voltage parameters of all periodic time periods corresponding to the same first serial number code, and calculate the power consumption P within each periodic time period respectively through P = U * I;

[0118] And mark the power consumption within each periodic time period as Pj, where j = 1, 2,... m;

[0119] SA3. Use the formula , calculate the deviation value L2 of the corresponding m groups of power consumption Pj, where || refers to taking the absolute value of the value inside the parentheses, and Pp refers to the average value of all Pj participating in the calculation of L2;

[0120] SA4. Compare the deviation value L2 with a preset deviation threshold L2y:

[0121] If L2 > L2y, it indicates that the discrete degree of the electricity consumption powers Pj of m groups is large. Then, delete the corresponding Pj values in the order from large to small of |Pj - Pp| and calculate the remaining deviation value L2 correspondingly until L1 ≤ L2y. After that, when L2 ≤ L2y, obtain the Pj participating in the calculation of the corresponding L2, calculate the average value of all the corresponding Pj, and then mark this value as the standard electricity consumption power P0 of the corresponding periodic time period.

[0122] SA5. Calculate the power adjustment coefficient of this area through Pt = |Ps * Py - P0|;

[0123] At the same time, obtain the positive and negative values of the calculation result of Ps * Py - P0, and judge whether to increase or decrease the power adjustment according to its positive and negative values;

[0124] If the calculation result of Ps * Py - P0 is positive, it indicates that the output power of this area needs to be lowered;

[0125] If the calculation result of Ps * Py - P0 is negative, it indicates that the output power of this area needs to be increased;

[0126] This embodiment can collect the real-time electricity usage data and environmental data of each area (such as office areas, meeting rooms, public rest areas, etc.) of the target office building; preprocess the collected electricity usage data, and determine whether each standard time period is a periodic time period through a series of calculations and comparisons; for the periodic time period, calculate the corresponding area's power adjustment coefficient according to a specific method, and judge whether the power needs to be increased or decreased according to the positive and negative values of the calculation result, so as to realize the adjustment and optimization of the electricity power in the periodic time period. For example, in an office area with a stable electricity usage pattern for a long time, through the processing of electricity data for multiple working days, its periodicity can be accurately judged, and a reasonable power adjustment coefficient can be calculated to achieve energy-saving optimization. Embodiment

[0127] As the second embodiment of the present invention, when this application is specifically implemented, compared with the first embodiment, the technical solution of this embodiment is only different from that of the first embodiment in that: it further includes:

[0128] A real-time acquisition unit, which is used to collect the current environmental data of the target place in non-periodic time periods;

[0129] The control and processing unit is further used to process and obtain the power adjustment coefficient of the corresponding area in non-periodic time periods according to the electricity usage data, environmental data, and the current environmental data within multiple specified cycles; the method is as follows: taking one area as an example;

[0130] SB1. In non-periodic time periods corresponding to multiple specified cycles, extract the temperature parameters and the number of people within the standard time period corresponding to the same first serial number code;

[0131] SB2. Extract the power consumption of all standard time periods corresponding to the same first serial number code during the aperiodic time periods corresponding to multiple specified cycles;

[0132] SB3. First, select the power consumption with the minimum value within a standard time period as the base power;

[0133] Then calculate the difference between the power consumption of other standard time periods and the base power, and mark it as the power analysis difference;

[0134] At the same time, take the temperature parameter and the number of people within this standard time period as the base temperature value and the base number of people value respectively;

[0135] Then calculate the difference between the temperature parameter of other standard time periods and the base temperature value respectively, and mark it as the temperature analysis difference, and the difference between the number of people and the base number of people value, and mark it as the number of people analysis difference;

[0136] SB4. Within multiple standard time periods corresponding to the same temperature analysis difference, obtain the power analysis difference and the number of people analysis difference within two standard time periods;

[0137] Taking the two selected standard time periods as an example, mark the power analysis differences within these two standard time periods as DF1 and DF2 respectively; at the same time, mark the selected number of people analysis differences within these two standard time periods as RF1 and RF2 respectively;

[0138] Then calculate the number of people influence coefficient RY corresponding to these two standard time periods through RY = |DF1 - DF2| / |RF1 - RF2|;

[0139] And so on, within multiple corresponding to the same temperature analysis difference, select the power analysis difference and the number of people analysis difference within other two standard time periods, and calculate the number of people influence coefficient corresponding to the other two standard time periods;

[0140] Finally, obtain the average value of all the obtained number of people influence coefficients, and mark it as the standard influence factor of the number of people;

[0141] SB5. Within multiple standard time periods corresponding to the number of people analysis difference, obtain the power analysis difference and the temperature analysis difference within two standard time periods;

[0142] Taking the two selected standard time periods as an example, mark the power analysis differences within these two standard time periods as DF1 and DF2 respectively; at the same time, mark the selected temperature analysis differences within these two standard time periods as WF1 and WF2 respectively;

[0143] Next, through WY = |DF1 - DF2| / |WF1 - WF2|, calculate the temperature influence coefficient WY corresponding to these two standard time periods;

[0144] And so on. For multiple cases corresponding to the same temperature analysis difference, select the power analysis difference and temperature analysis difference within other two standard time periods, and calculate the temperature influence coefficients corresponding to these two standard time periods;

[0145] Finally, obtain the average value of all the obtained temperature influence coefficients and mark it as the standard temperature influence factor;

[0146] SB6. In the non-periodic time periods corresponding to multiple specified cycles, respectively calculate the standard power corresponding to this standard time period for each specified cycle based on the power consumption, temperature parameters, and number of personnel of all standard time periods corresponding to the same first serial number coding;

[0147] The specific calculation method is as follows:

[0148] Take one specified cycle as an example;

[0149] First, set a standard temperature parameter and a standard number of personnel, which are used for formula derivation. Their specific values are determined by the operator according to experience; in this embodiment, the standard temperature parameter and the standard number of personnel are fixed values, and their values are 22.5°C and 0 respectively. Once determined, they cannot be modified. After modification, all data in this system will be formatted and reset;

[0150] Through:

[0151] The first calculation formula: Calculated temperature = |Temperature parameter - Standard temperature parameter|

[0152] The second calculation formula: Calculated number of personnel = |Number of personnel - Standard number of personnel|

[0153] The third calculation formula: Standard power = Power consumption - Calculated temperature * Temperature standard influence factor - Calculated number of personnel * Personnel standard influence factor

[0154] Calculate the standard power corresponding to this standard time period for this specified cycle; and so on, calculate the average value of the standard powers corresponding to this standard time period for all specified cycles and use it as the calculated standard power;

[0155] SB7. Based on the initial node of the real-time acquisition unit in this non-periodic time period, estimate the current power consumption by collecting the current environmental data of the current area in real time, and obtain the estimated power consumption:

[0156] The specific method is as follows:

[0157] SB71, substituting the temperature parameter and the number of personnel in the current environmental data into the first calculation formula and the second calculation formula to obtain the corresponding calculated temperature and the calculated number of personnel;

[0158] SB72, replace the standard electric energy in the third calculation formula with the calculated standard electric energy, and substitute the calculated temperature and the number of calculated personnel in SB71 into the replaced third calculation formula, then reverse the calculation to obtain the estimated consumed electric energy in the current standard period, then divide the estimated consumed electric energy by t to obtain the estimated electric power Pg in the non-periodic period;

[0159] SB8. Calculate the power regulation coefficient of the area through Pt=|Ps*Py-Pg|;

[0160] At the same time, the positive and negative values ​​of the Ps*Py-Pg calculation results are obtained, and the power adjustment is increased or decreased according to the positive and negative values;

[0161] If the calculated result of Ps*Py-Pg is a positive value, it means that the output power needs to be reduced in this area;

[0162] If the calculated result of Ps*Py-Pg is a negative value, it means that the output power needs to be increased in this area;

[0163] In addition to the functions of the first embodiment, this embodiment adds real-time collection of current environmental data of the target place during non-periodic time periods; for non-periodic time periods, by calculating the personnel volume influence coefficient and the temperature influence coefficient, the standard electric energy and the estimated electric energy consumption are obtained, thereby calculating the power regulation coefficient; according to the characteristics of the non-periodic time periods and the real-time environmental data, the electric power of the non-periodic time periods can be regulated more accurately; for example, in a conference room where the personnel and environmental temperature are unstable due to an event, the electric power can be adjusted in time according to the real-time personnel volume and temperature changes. Example

[0164] As the third embodiment of the present invention, when the present application is implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments, and the difference between the technical solution of this embodiment and the first and second embodiments is that this embodiment also includes:

[0165] The control execution unit is used to adjust the electric power of each area in the corresponding standard time period through the corresponding controller according to the power adjustment coefficient and the increase or decrease judgment result obtained by each area in the corresponding standard time period.

[0166] Embodiment 3 integrates the functions of Embodiment 1 and Embodiment 2, and can comprehensively handle the power regulation problems in periodic time periods and aperiodic time periods; a control execution unit is newly added, which can, according to the power regulation coefficient obtained in the corresponding standard time period for each area and its increase or decrease judgment result, actually regulate the power of each area in the corresponding standard time period through the corresponding controller, and put the optimization plan into practice; for example, in the entire target office building, whether it is a regular office area or an area with large changes, effective power regulation can be achieved. Embodiment

[0167] As Embodiment 4 of the present invention, in the specific implementation of the present application, compared with Embodiment 1, Embodiment 2, and Embodiment 3, the technical solution of this embodiment lies in combining the solutions of the above Embodiment 1, Embodiment 2, and Embodiment 3 for implementation.

[0168] Embodiment 4 integrates all the functions of Embodiment 1, Embodiment 2, and Embodiment 3 to form a complete, comprehensive, and efficient power control and regulation system; it can achieve precise control and regulation of power under various complex scenarios (such as different areas, different time periods, different environmental conditions), maximize the power utilization efficiency, and reduce energy consumption; for example, in a large office building with multiple functional areas and variable usage situations, full-range and refined power management can be achieved.

[0169] The above formulas are all dimensionless and take their numerical values for calculation. The formula is obtained by collecting a large amount of data and performing software simulation to obtain a formula closest to the actual situation. The preset parameters and threshold selection in the formula are set by those skilled in the art according to the actual situation.

[0170] Meanwhile, the content not described in detail in this specification belongs to the well-known prior art of those skilled in the art.

[0171] The above has described a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the present invention application should still fall within the scope covered by the patent of the present invention.

Claims

1. A power control and regulation system, characterized in that, Including: A data acquisition unit for real-time collecting power usage data and environmental data at a target site; The power usage data includes current parameters and voltage parameters of each area within the target site, and the environmental data includes temperature parameters and the number of people in each area within the target site; A preprocessing module for preprocessing the power usage data in multiple preset standard time periods within multiple specified periods, and then, according to the preprocessing results, determining the periodicity of each standard time period within the multiple specified periods, and marking the standard time periods with periodicity as periodic time periods and the standard time periods without periodicity as non-periodic time periods; The preprocessing method is as follows: select an area: Step01. In this area, obtain the power usage data within multiple preset standard time periods from multiple specified periods; Step02. In each specified period, in the order of time, sequentially add a first serial number code to each standard time period within each specified period; Wherein, each specified period contains standard time periods with the same first serial number code; Step03. According to the power usage data obtained within multiple preset standard time periods from multiple specified periods, and combining with the electric energy calculation formula, calculate the consumed electric energy of each preset standard time period within each specified period; Step04. In multiple specified periods, extract the consumed electric energy of the standard time periods corresponding to the same first serial number code; Then calculate the electric energy difference between the consumed electric energies of the standard time periods corresponding to the same first serial number code within each specified period; Step05. Mark all the electric energy differences as DCi, i = 1, 2,..., n, where n represents the number of electric energy differences; Then, using the variance calculation formula, calculate the deviation value L1 of the corresponding n groups of electric energy differences DCi. In the formula, || refers to taking the absolute value of the value within the brackets, and DCp refers to the average value of all DCi participating in the calculation of L1; Step06. Compare the deviation value L1 with the preset deviation threshold L1y: If L1 > L1y, it means that the dispersion degree of the n groups of electric energy differences DCi is large; Next, delete the corresponding DCi values in the order from largest to smallest of |DCi - DCp| and calculate the remaining deviation value L1 correspondingly until L1 ≤ L1y; After that, when L1 ≤ L1y, obtain the number of DCi that are deleted, then divide this number value by n, and record the calculated result as the periodicity determination coefficient; Step07. Compare the periodicity determination coefficient with the preset periodicity determination threshold, and according to the comparison result, divide the corresponding standard time periods into periodic time periods and non-periodic time periods; A real-time acquisition unit for real-time collecting the current environmental data of the target site during non-periodic time periods; A control and processing unit for obtaining the power adjustment coefficient of the corresponding area during periodic time periods according to the power usage data; and at the same time, obtaining the power adjustment coefficient of the corresponding area during non-periodic time periods according to the power usage data, environmental data within multiple specified periods, and the current environmental data; A control and processing unit for adjusting the power of each area during the corresponding standard time period through a controller according to the power adjustment coefficients obtained by each area during the corresponding standard time period.

2. The power control and regulation system according to claim 1, wherein: In Step03, the electric energy calculation formula is: W = U * I * t, and the consumed electric energy W for each standard time period is calculated; where U represents the average value of the voltage parameters collected in real time at each time node within the corresponding standard time period, I represents the average value of the current parameters collected in real time at each time node within the corresponding standard time period, and t represents the duration within the standard time period.

3. A power control and regulation system according to claim 1, characterized in that: In Step07, if the periodicity determination coefficient is greater than the preset periodicity determination threshold, the standard time period corresponding to the same first serial number code is recorded as a non-periodic time period; if the periodicity determination coefficient is less than or equal to the preset periodicity determination threshold, the standard time period corresponding to the same first serial number code is recorded as a periodic time period.

4. A power control and regulation system according to claim 1, characterized in that: The method for obtaining the power adjustment coefficient within the periodic time period in the control processing unit is as follows: select a region; SA1. Obtain the output power and power factor of the power supply bus of this region, and mark the output power and power factor of the power supply bus of this region as Ps and Py respectively; SA2. In multiple specified cycles, extract the current parameters and voltage parameters of all periodic time periods corresponding to the same first serial number code, and calculate the power consumption P within each periodic time period through P = U * I; and mark the power consumption within each periodic time period as Pj, j = 1, 2,... m; SA3. Use the variance calculation formula to calculate the deviation value L2 of the corresponding m groups of power consumption Pj. In the formula, || refers to taking the absolute value of the value within the parentheses, and Pp refers to the average value of all Pj participating in the calculation of L2; SA4. Compare the deviation value L2 with the preset deviation threshold L2y: If L2 > L2y, it means that the dispersion degree of the m groups of power consumption Pj is large. Then, delete the corresponding Pj values in descending order of |Pj - Pp| and calculate the remaining deviation value L2 correspondingly until L1 ≤ L2y. After that, when L2 ≤ L2y, obtain the Pj participating in the calculation of the corresponding L2, and calculate the average value of all corresponding Pj. Then mark its value as the standard power consumption P0 of the corresponding periodic time period; SA5. Calculate the power adjustment coefficient of this region through Pt = |Ps * Py - P0|.

5. A power control and regulation system according to claim 4, characterized in that: The method for obtaining the power adjustment coefficient within the non-periodic time period in the control processing unit is as follows: select a region; SB1. In the non-periodic time periods corresponding to multiple specified cycles, extract the temperature parameters and the number of people within the standard time period corresponding to the same first serial number code; SB2. In the non-periodic time periods corresponding to multiple specified cycles, extract the consumed electric energy of all standard time periods corresponding to the same first serial number code; SB3. First, select the consumed electric energy with the smallest value within a standard time period as the basic electric energy; Subsequently, calculate the difference between the consumed electric energy of other standard time periods and the basic electric energy, and mark it as the electric energy analysis difference; At the same time, use the temperature parameter and the number of people within this standard time period as the basic temperature value and the basic number of people value respectively; Subsequently, calculate the difference between the temperature parameter of other standard time periods and the basic temperature value respectively, and mark it as the temperature analysis difference, and the difference between the number of people and the basic number of people value, and mark it as the number of people analysis difference; SB4. During multiple standard time periods corresponding to the same temperature analysis difference, based on multiple groups of power analysis differences and personnel quantity analysis differences within two standard time periods, calculate the personnel quantity standard influence factor; SB5. During multiple standard time periods corresponding to the personnel quantity analysis difference, based on multiple groups of power analysis differences and temperature analysis differences within two standard time periods, and calculate the temperature standard influence factor in the same way as in SB4; SB6. In the non-periodic time periods corresponding to multiple specified cycles, respectively calculate the standard power for each specified cycle corresponding to the standard time period based on the power consumption, temperature parameters, and personnel quantity of all standard time periods corresponding to the same first serial number code, calculate the average value of the standard power for all specified cycles corresponding to the standard time period, and use it as the calculated standard power; SB7. Estimate the power consumption of the current environment data in the current area in real time according to the initial node of the real-time acquisition unit in this non-periodic time period, and obtain the estimated power consumption Pg: SB8. Calculate the power adjustment coefficient of this area through Pt = |Ps * Py - Pg|.

6. The power control and regulation system according to claim 5, wherein: In SB4, the calculation method of the personnel quantity standard influence factor is as follows: Select two standard time periods, and mark the power analysis differences within these two standard time periods as DF1 and DF2 respectively; at the same time, mark the selected personnel quantity analysis differences within these two standard time periods as RF1 and RF2 respectively; Then calculate the personnel quantity influence coefficient RY corresponding to these two standard time periods through RY = |DF1 - DF2| / |RF1 - RF2|; And so on, in multiple corresponding to the same temperature analysis difference, select the power analysis differences and personnel quantity analysis differences within other two standard time periods, and calculate the personnel quantity influence coefficients corresponding to the other two standard time periods; Finally, calculate the average value of all obtained personnel quantity influence coefficients, and mark it as the personnel quantity standard influence factor.

7. An electric power control and regulation system according to claim 5, characterized in that: In SB6, the calculation method of the calculated standard power is as follows: Select a specified cycle, and at the same time set a standard temperature parameter and a standard personnel quantity. The standard temperature parameter and the standard personnel quantity are fixed values, and their values are 22.5 °C and 0 respectively; Through: The first calculation formula: Calculate the temperature = |temperature parameter - standard temperature parameter| The second calculation formula: Calculate the personnel quantity = |personnel quantity - standard personnel quantity| The third calculation formula: Standard power = power consumption - calculated temperature * temperature standard influence factor - calculated personnel quantity * personnel quantity standard influence factor Calculate the standard power of this specified cycle corresponding to the standard time period.

8. An electric power control and regulation system according to claim 5, characterized in that: In SB7, the calculation method of the estimated power consumption is as follows: SB71. Substitute the temperature parameter and personnel quantity in the current environment data into the first calculation formula and the second calculation formula respectively to find the corresponding calculated temperature and calculated personnel quantity; SB72. Replace the standard power in the third calculation formula with the calculated standard power, substitute the calculated temperature and calculated personnel quantity in SB71 into the replaced third calculation formula, then perform reverse deduction, and obtain the estimated power consumption of the current standard time period. Then divide the estimated power consumption by t to obtain the estimated power consumption Pg of this non-periodic time period.

9. A power control and regulation system according to claim 5, characterized in that: The control processing unit is further configured to make an increase or decrease judgment on power regulation according to the positive or negative value of Ps*Py - P0 and / or Ps*Py - Pg; During the periodic period: If the calculation result of Ps*Py - P0 is positive, it indicates that the output power of this area needs to be decreased; If the calculation result of Ps*Py - P0 is negative, it indicates that the output power of this area needs to be increased; During the aperiodic period: If the calculation result of Ps*Py - Pg is positive, it indicates that the output power of this area needs to be decreased; If the calculation result of Ps*Py - Pg is negative, it indicates that the output power of this area needs to be increased.

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