Electric power control and regulation system

Abstract

The invention discloses an electric power control and regulation system, which comprises a data acquisition unit, a preprocessing module, a real-time acquisition unit, a control processing unit and a control execution unit, and relates to the technical field of electric power regulation. According to the method, in the periodic time period, whether the output power needs to be increased or decreased can be accurately judged according to the output power and the power factor of the power supply bus and the standard electric power of the periodic time period by calculating the power adjustment coefficient, and the situation of electric power waste or insufficient supply is avoided; according to the invention, the environmental data can be collected in real time in the non-periodic time period, and the personnel quantity standard impact factor and the temperature standard impact factor are calculated by integrating the electric power use data and the environmental data in a plurality of specified periods, so that the electric power in the non-periodic time period is estimated, and more scientific and accurate power regulation is realized. According to the mode, the influence of environmental factors such as personnel quantity and temperature on power consumption is fully considered.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power regulation, and in particular to an electric power control and regulation system. Background Art

[0002] In today's society, efficient use and precise control of electricity are of vital importance for energy conservation, emission reduction, cost reduction and stable operation of power systems. With the continuous expansion of the scale of various office buildings and other places, electricity consumption is increasing, and traditional power control methods can no longer meet the needs of refined management. In previous power control systems, 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 accurately adjust power according to actual needs.

[0003] For example, in some office buildings, there are obvious differences in electricity usage patterns in different areas such as office areas, conference rooms, and public rest areas. However, due to the lack of effective data collection and analysis methods, it is impossible to carry out targeted power control based on the characteristics of these areas, resulting in frequent power waste or power shortages.

[0004] To sum up, the existing power control methods have many shortcomings and cannot achieve efficient and accurate control of power in places such as office buildings. Therefore, an innovative power control and regulation system is urgently needed to solve these problems. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides an electric power control and regulation system, which solves the problems raised in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an electric power control and regulation system, comprising: A data collection unit for collecting power usage data and environmental data in real time at a target location; The power usage data includes the current parameters and voltage parameters of each area in the target location, and the environmental data includes the temperature parameters and the number of people in each area in the target location; A preprocessing module is used 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 based on the preprocessing results, and record the standard time period with periodicity as a periodic time period, and record the standard time period without periodicity as a non-periodic time period; A real-time collection unit is used to collect the current environmental data of the target location in real time during non-periodic periods; A control processing unit is used to process the power adjustment coefficient of the corresponding area in a periodic period according to the power usage data; and to process the power adjustment coefficient of the corresponding area in a non-periodic period according to the power usage data, environmental data, and current environmental data within a plurality of specified periods; The control execution unit is used to adjust the electric power of each area in the corresponding standard time period through the controller according to the power adjustment coefficient obtained by each area in the corresponding standard time period.

[0007] Preferably, the preprocessing method is as follows: select an area: Step 01, in the area, obtaining power usage data within multiple preset standard time periods from multiple specified cycles; Step 02: In each designated period, add the first serial number code to each standard time period in each designated period in turn according to the time trend; Among them, each designated period corresponds to a standard time period with the same first serial number code; Step 03, obtaining power usage data in multiple preset standard time periods in multiple specified cycles, and calculating the power consumption of each preset standard time period in each specified cycle in combination with the power calculation formula; Step 04, extracting the power consumption corresponding to the standard time period of the same first serial number code in multiple specified cycles; Then, the difference in electric energy consumption between the standard time periods corresponding to the same first serial number code in each specified period is calculated; Step 05, mark all the electric energy differences as DCi, i=1, 2, ... n, n represents the number of electric energy differences; Then, the deviation value L1 of the corresponding n groups of electric energy difference DCi is calculated using the variance calculation formula, where || refers to the absolute value of the value in brackets, and DCp refers to the average value of all DCi involved in the L1 calculation; Step 06, compare the deviation value L1 with the preset deviation threshold L1y: If L1>L1y, it means that the discrete degree of the n-group electric energy difference DCi is large; Next, the corresponding DCi values ​​are deleted in descending order according to |DCi-DCp| and the remaining deviation value L1 is calculated accordingly until L1≤L1y; Afterwards, the number of DCi deleted when L1≤L1y is obtained, and then the number value is divided by n, and the calculated result is recorded as the periodicity determination coefficient; Step 07. Compare the periodicity determination coefficient with the preset periodicity determination threshold, and divide the corresponding standard time period into a periodic time period and a non-periodic time period according to the comparison result.

[0008] Preferably, in Step 03, the electric energy calculation formula is: W=U*I*t, and the electric energy consumption W in each standard time period is calculated; Wherein, U represents the mean value of the voltage parameter collected in real time at each time node in the corresponding standard period, I represents the mean value of the current parameter collected in real time at each time node in the corresponding standard period, and t represents the duration of the standard period.

[0009] Preferably, in Step 07, if the periodicity determination coefficient is greater than a 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.

[0010] Preferably, the power regulation coefficient in the periodic time period in the control processing unit is obtained as follows: an area is selected; SA1. Obtain the output power and power factor of the power supply bus in the area, and mark the output power and power factor of the power supply bus in the area as Ps and Py respectively; SA2. In a plurality of designated 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 in each periodic time period by P=U*I; The power consumption in each periodic period is marked as Pj, j = 1, 2, ... m; SA3. Calculate the deviation value L2 of the corresponding m groups of power consumption Pj using the variance calculation formula, where || refers to the absolute value of the value in brackets, and Pp refers to the average value of all Pj involved in the L2 calculation; SA4. Compare the deviation value L2 with the preset deviation threshold L2y: If L2>L2y, it means that the discrete degree of the power consumption Pj of group m is large, and then the corresponding Pj values ​​are deleted in order from large to small according to |Pj-Pp| and the remaining deviation value L2 is calculated accordingly, until L1≤L2y. After that, when L2≤L2y is obtained, the Pj of the corresponding L2 is calculated, and the average value of all corresponding Pj is obtained, and then its value is marked as the standard power consumption P0 of the corresponding periodic period; SA5. Calculate the power regulation coefficient of the area through Pt=|Ps*Py-P0|.

[0011] Preferably, the power regulation coefficient in the non-periodic period in the control processing unit is obtained as follows: an area is selected; SB1. In the non-periodic time periods corresponding to the multiple specified periods, extract the temperature parameters and the number of people in the standard time period corresponding to the same first serial number code; SB2. In the non-periodic time periods corresponding to the multiple specified periods, extract the consumed electric energy of all standard time periods corresponding to the same first serial number code; SB3. First, select the minimum consumed electric energy in a standard period as the basic electric energy; Then the difference between the consumed power and the basic power in other standard time periods is calculated and marked as the power analysis difference; At the same time, the temperature parameters and the number of people in the standard period are respectively used as the basic temperature value and the basic number of people value; Then, the difference between the temperature parameters of other standard time periods and the basic temperature value is calculated and marked as the temperature analysis difference, and the difference between the number of personnel and the basic number of personnel is marked as the number of personnel analysis difference; SB4. In multiple standard time periods corresponding to the same temperature analysis difference, the standard influencing factor of the number of personnel is calculated based on multiple groups of power analysis differences and personnel analysis differences in two standard time periods; SB5. In multiple standard time periods corresponding to the personnel quantity analysis difference, the temperature standard influencing factor is calculated according to the power analysis difference and temperature analysis difference in multiple groups of two standard time periods in the manner of SB4; SB6. In the non-periodic time periods corresponding to the multiple designated periods, the standard electric energy corresponding to the standard time period of each designated period is calculated according to the consumed electric energy, temperature parameters, and the number of personnel in all the standard time periods corresponding to the same first serial number code, and the average value of the standard electric energy corresponding to the standard time period of all designated periods is calculated, and the average value is used as the calculated standard electric energy; SB7. The real-time collection unit collects the current environmental data of the current area in real time at the initial node of the non-periodic period to estimate the power consumption, and obtains the estimated power consumption Pg: SB8. Calculate the power regulation coefficient of the area through Pt=|Ps*Py-Pg|.

[0012] Preferably, in SB4, the calculation method of the personnel quantity standard influencing factor is as follows: Select two standard time periods, and mark the difference in electric energy analysis within the two standard time periods as DF1 and DF2 respectively; meanwhile, mark the difference in the number of selected personnel analysis within the two standard time periods as RF1 and RF2 respectively; Then, the personnel impact coefficient RY corresponding to the two standard time periods is calculated by RY=|DF1-DF2| / |RF1-RF2|; Similarly, for multiple values ​​corresponding to the same temperature analysis difference, select the power analysis difference and personnel analysis difference in the other two standard time periods, and calculate the personnel impact coefficient corresponding to the other two standard time periods; Finally, the average value of all the obtained personnel quantity influence coefficients is calculated and marked as the personnel quantity standard influence factor; Preferably, in SB6, the standard electric energy is calculated as follows: Select a specified period, and set a standard temperature parameter and a standard number of personnel. The standard temperature parameter and the standard number of personnel are fixed values, which are 22.5℃ and 0 respectively. pass: The first calculation formula: Calculation temperature = |temperature parameter - standard temperature parameter| Second calculation formula: Calculated number of personnel = |number of personnel - standard number of personnel| The third calculation formula: Standard electric energy = consumed electric energy - calculated temperature * temperature standard impact factor - calculated number of personnel * number of personnel standard impact factor Calculate the standard electric energy of the specified cycle corresponding to the standard time period; Preferably, the estimated power consumption is calculated as follows: 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; 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 of SB71 into the replaced third calculation formula, then perform reverse calculation to obtain the estimated consumed electric energy for the current standard period, then divide the estimated consumed electric energy by t to obtain the estimated electric power Pg for the non-periodic period.

[0013] Preferably, the control processing unit is also used to make an increase or decrease judgment on the power regulation according to the positive or negative value of Ps*Py-P0 and / or Ps*Py-Pg; During the periodic period: If the calculated result of Ps*Py-P0 is a positive value, it means that the output power needs to be reduced in this area; If the calculated result of Ps*Py-P0 is a negative value, it means that the output power needs to be increased in this area; During non-periodic periods: 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; If the calculated result of Ps*Py-Pg is a negative value, it means that the output power of this area needs to be increased.

[0014] The present invention provides an electric power control and regulation system. Compared with the prior art, it has the following beneficial effects: Accurate power data collection and analysis: By installing current and voltage sensors, temperature sensors, and people 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 gain a deeper understanding of the power usage in different areas and the impact of environmental factors on power consumption, providing a solid data foundation for subsequent precise control.

[0015] Scientifically distinguish between periodic and non-periodic periods: Using complex and precise algorithms to process and analyze power usage data, it is possible to accurately determine periodic and non-periodic periods. This allows more targeted power regulation strategies to be adopted in different periods, improving the scientificity and rationality of power control.

[0016] Efficient power regulation: During periodic periods, by calculating the power regulation 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 and the standard power consumption during the periodic period, thereby achieving efficient power regulation and avoiding power waste or insufficient supply.

[0017] Non-periodic period adjustment that fully considers environmental factors: In non-periodic periods, environmental data can be collected in real time, and the power usage data and environmental data in multiple specified periods can be integrated to calculate the standard influencing factors of personnel volume and temperature, so as to estimate the power consumption in non-periodic periods and achieve more scientific and accurate power adjustment. This method fully considers the impact of environmental factors such as personnel volume and temperature on power consumption, and further improves the accuracy and efficiency of power control.

[0018] Energy saving, emission reduction and cost reduction: Through precise power control and regulation, unnecessary power consumption can be effectively reduced, achieving the effect of energy saving and emission reduction. At the same time, reasonable power distribution also helps to reduce the cost of power use and bring economic benefits to enterprises and society.

[0019] Improved system stability and reliability: Accurate power regulation can ensure the stable operation of the power system, reduce equipment failure and damage caused by power fluctuations or overloads, improve the reliability and stability of the power system, and extend the service life of equipment.

[0020] 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, thereby improving work efficiency and management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0023] See also Figure 1 The present invention provides a technical solution: an electric power control and regulation system, comprising: A data collection unit for collecting power usage data and environmental data in real time at a target location; The power usage data includes the current parameters and voltage parameters of each area in the target location, and the environmental data includes the temperature parameters and the number of people in each area in the target location; In this embodiment, the target location refers to a target office building, and each area refers to an office area, a conference room, a public rest area, etc. distributed in the target office building.

[0024] For example, current and voltage sensors are installed on power sockets and electrical appliances in various areas to monitor power usage data; Install temperature sensors and people counting sensors in various areas to obtain environmental data; A preprocessing module, used for preprocessing the power usage data; The specific processing method is as follows, taking one area as an example: Step 01, in the area, obtaining power usage data within multiple preset standard time periods from multiple specified cycles; In this embodiment, a designated period refers to a working day; Step 02, taking a region as an example, in each specified period, according to the time trend, add the first serial number code to each standard time period in each specified period; Among them, each designated period corresponds to a standard time period with the same first serial number code; Step 03, obtaining power usage data in multiple preset standard time periods in multiple specified cycles, and calculating the power consumption of each preset standard time period in each specified cycle in combination with the power calculation formula; Take a specified period as an example. In the specified period, the power consumption W of each standard period is calculated by W=U*I*t. Where U represents the mean value of the voltage parameter collected in real time at each time node in the corresponding standard period, I represents the mean value of the current parameter collected in real time at each time node in the corresponding standard period, and t represents the duration of the standard period; Step 04, extracting the power consumption corresponding to the standard time period of the same first serial number code in multiple specified cycles; Then, the difference in electric energy consumption between the standard time periods corresponding to the same first serial number code in each specified period is calculated; In this embodiment, the number of power differences is n=m(m-1) / 2, where m represents the number of all specified cycles; The calculation process of the electric energy difference between the electric energy consumed in the standard time period corresponding to the same first serial number code is as follows: First, the difference between the power consumption of the standard time period corresponding to the same first serial number code in the first specified period and the corresponding power consumption of the second to mth periods is calculated to obtain m-1 groups of corresponding power differences; Next, the difference between the power consumption of the standard time period corresponding to the same first serial number code in the second specified period and the corresponding power consumption of the third to mth periods is calculated to obtain m-2 groups of corresponding power differences; And so on... Finally, the difference between the power consumption of the standard time period corresponding to the same first serial number code in the m-1th specified period and the power consumption of the mth corresponding period is calculated to obtain a set of corresponding power differences; Step 05. Mark all the energy differences as DCi, i=1, 2, ...n, n represents the number of energy differences; then use the formula , calculate the deviation value L1 corresponding to n groups of electric energy differences DCi, where || refers to the absolute value of the value in brackets, and DCp refers to the average value of all DCi involved in the L1 calculation; Step 06, compare the deviation value L1 with the preset deviation threshold L1y: If L1>L1y, it means that the discrete degree of the n-group electric energy difference DCi is large; Next, the corresponding DCi values ​​are deleted in descending order according to |DCi-DCp| and the remaining deviation value L1 is calculated accordingly until L1≤L1y; Afterwards, the number of DCi deleted when L1≤L1y is obtained, and then the number value is divided by n, and the calculated result is recorded as the periodicity determination coefficient; Step 07. Compare the periodicity determination coefficient with the preset periodicity determination threshold: 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; A control processing unit, used to process the power usage data in a periodic period to obtain a power regulation coefficient for a corresponding area; Here’s how it works: Take one region as an example; SA1. Obtain the output power and power factor of the power supply bus in the area, and mark the output power and power factor of the power supply bus in the area as Ps and Py respectively; SA2. In a plurality of designated 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 in each periodic time period by P=U*I; The power consumption in each periodic period is marked as Pj, j = 1, 2, ... m; SA3. Use formula , calculate the deviation value L2 of the corresponding m groups of power consumption Pj, where || refers to the absolute value of the value in brackets, and Pp refers to the average value of all Pj involved in the L2 calculation; SA4. Compare the deviation value L2 with the preset deviation threshold L2y: If L2>L2y, it means that the degree of dispersion of the power consumption Pj of group m is large, and the corresponding Pj values ​​are deleted in order from large to small according to |Pj-Pp|, and the remaining deviation value L2 is calculated accordingly, until L1≤L2y. After that, when L2≤L2y is obtained, the Pj of the corresponding L2 is calculated, and the average value of all corresponding Pj is obtained, and then its value is marked as the standard power consumption P0 of the corresponding periodic period; SA5. Calculate the power regulation coefficient of the area through Pt=|Ps*Py-P0|; At the same time, the positive and negative values ​​of the calculation results of Ps*Py-P0 are obtained, and the power adjustment is increased or decreased according to the positive and negative values; If the calculated result of Ps*Py-P0 is a positive value, it means that the output power needs to be reduced in this area; If the calculated result of Ps*Py-P0 is a negative value, it means that the output power needs to be increased in this area; This embodiment can collect power usage data and environmental data of various areas of the target office building (such as office areas, conference rooms, public rest areas, etc.) in real time; pre-process the collected power usage data, and determine whether each standard time period is a periodic time period through a series of calculations and comparisons; for periodic time periods, calculate the power adjustment coefficient of the corresponding area according to a specific method, and determine whether the power needs to be adjusted up or down according to the positive and negative values ​​of the calculation results, thereby realizing the adjustment and optimization of the power of the periodic time period. For example, in an office area with a long-term stable power consumption pattern, by processing the power data of multiple working days, its periodicity can be accurately determined, and a reasonable power adjustment coefficient can be calculated to achieve energy saving optimization. Example

[0025] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the second embodiment is different from that of the first embodiment only in that: it also includes: A real-time collection unit is used to collect the current environmental data of the target location in real time during non-periodic periods; The control processing unit is also used to obtain the power adjustment coefficient of the corresponding area in a non-periodic period according to the power usage data, environmental data and current environmental data in a plurality of specified periods; the method is as follows: take one area as an example; SB1. In the non-periodic time periods corresponding to the multiple specified periods, extract the temperature parameters and the number of people in the standard time period corresponding to the same first serial number code; SB2. In the non-periodic time periods corresponding to the multiple specified periods, extract the consumed electric energy of all standard time periods corresponding to the same first serial number code; SB3. First, select the minimum consumed electric energy in a standard period as the basic electric energy; Then the difference between the consumed power and the basic power in other standard time periods is calculated and marked as the power analysis difference; At the same time, the temperature parameters and the number of people in the standard period are respectively used as the basic temperature value and the basic number of people value; Then, the difference between the temperature parameters of other standard time periods and the basic temperature value is calculated and marked as the temperature analysis difference, and the difference between the number of personnel and the basic number of personnel is marked as the number of personnel analysis difference; SB4. Obtain the electric energy analysis difference and the personnel quantity analysis difference within two standard time periods in multiple standard time periods corresponding to the same temperature analysis difference; Taking the two selected standard time periods as an example, the power analysis difference values ​​in the two standard time periods are marked as DF1 and DF2 respectively; at the same time, the selected personnel analysis difference values ​​in the two standard time periods are marked as RF1 and RF2 respectively; Then, the personnel impact coefficient RY corresponding to the two standard time periods is calculated by RY=|DF1-DF2| / |RF1-RF2|; Similarly, for multiple values ​​corresponding to the same temperature analysis difference, select the power analysis difference and personnel analysis difference in the other two standard time periods, and calculate the personnel impact coefficient corresponding to the other two standard time periods; Finally, the average value of all the obtained personnel quantity influence coefficients is calculated and marked as the personnel quantity standard influence factor; SB5. Obtain the power analysis difference and the temperature analysis difference within two standard time periods within multiple standard time periods corresponding to the personnel quantity analysis difference; Taking two selected standard time periods as an example, the power analysis differences within the two standard time periods are marked as DF1 and DF2 respectively; at the same time, the selected temperature analysis differences within the two standard time periods are marked as WF1 and WF2 respectively; Then, the temperature influence coefficient WY corresponding to the two standard time periods is calculated by WY=|DF1-DF2| / |WF1-WF2|; Similarly, for multiple values ​​corresponding to the same temperature analysis difference, select the power analysis difference and temperature analysis difference in the other two standard time periods, and calculate the temperature influence coefficient corresponding to the other two standard time periods; Finally, the average value of all the obtained temperature influence coefficients is calculated and marked as the temperature standard influence factor; SB6. In the non-periodic time periods corresponding to the multiple designated periods, the standard electric energy corresponding to the standard time period of each designated period is calculated according to the electric energy consumption, temperature parameters, and the number of personnel in all the standard time periods corresponding to the same first serial number code; The specific calculation method is as follows: Take a given period as an example; First, a standard temperature parameter and a standard number of personnel are set, which are used for formula derivation. The specific values ​​are determined by the operator based on experience. In this embodiment, the standard temperature parameter and the standard number of personnel are fixed values, which are 22.5°C and 0, respectively. They cannot be modified after being determined. After modification, all data in this system are formatted and reset. pass: The first calculation formula: Calculation temperature = |temperature parameter - standard temperature parameter| Second calculation formula: Calculated number of personnel = |number of personnel - standard number of personnel| The third calculation formula: Standard electric energy = consumed electric energy - calculated temperature * temperature standard impact factor - calculated number of personnel * number of personnel standard impact factor The standard electric energy of the specified period corresponding to the standard time period is calculated; and similarly, the average value of the standard electric energy of all the specified periods corresponding to the standard time period is calculated and used as the calculated standard electric energy; SB7. The real-time collection unit collects the current environmental data of the current area in real time at the initial node of the non-periodic period to estimate the power consumption, and obtains the estimated power consumption: The specific method is as follows: 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; 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; SB8. Calculate the power regulation coefficient of the area through Pt=|Ps*Py-Pg|; 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; 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; 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; 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

[0026] 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: 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.

[0027] The third embodiment combines the functions of the first and second embodiments, and can comprehensively handle the power regulation problems in periodic and non-periodic periods; a new control execution unit is added, which can actually adjust the power of each area in the corresponding standard period through the corresponding controller according to the power regulation coefficient and the increase or decrease judgment result obtained in each area in the corresponding standard period, 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. Example

[0028] As the fourth embodiment of the present invention, when the present application is specifically implemented, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine and implement the solutions of the above-mentioned first, second and third embodiments.

[0029] This fourth embodiment integrates all the functions of the first, second and third embodiments to form a complete, comprehensive and efficient electric power control and regulation system; it can realize precise control and regulation of electric power in various complex scenarios (such as different areas, different time periods, and different environmental conditions), maximize the efficiency of power utilization, and reduce energy consumption; for example, in a large office building with multiple functional areas and changing usage conditions, it can realize all-round and refined electric power management.

[0030] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0031] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0032] The above is 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 to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An electric power control and regulation system, characterized in that: include: A data collection unit for collecting power usage data and environmental data in real time at a target location; The power usage data includes the current parameters and voltage parameters of each area in the target location, and the environmental data includes the temperature parameters and the number of people in each area in the target location; A preprocessing module is used 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 based on the preprocessing results, and record the standard time period with periodicity as a periodic time period, and record the standard time period without periodicity as a non-periodic time period; A real-time collection unit is used to collect the current environmental data of the target location in real time during non-periodic periods; A control processing unit is used to process the power adjustment coefficient of the corresponding area in a periodic period according to the power usage data; and to process the power adjustment coefficient of the corresponding area in a non-periodic period according to the power usage data, environmental data, and current environmental data within a plurality of specified periods; The control processing unit is used to adjust the electric power of each area in the corresponding standard time period through the controller according to the power adjustment coefficient obtained by each area in the corresponding standard time period.

2. The electric power control and regulation system according to claim 1, characterized in that: The preprocessing method is as follows, select an area: Step 01, in the area, obtaining power usage data within multiple preset standard time periods from multiple specified cycles; Step 02. In each specified period, add the first serial number code to each standard time period in each specified period in turn according to the time trend; Among them, each designated period corresponds to a standard time period with the same first serial number code; Step 03, obtaining power usage data in multiple preset standard time periods in multiple specified cycles, and calculating the power consumption of each preset standard time period in each specified cycle in combination with the power calculation formula; Step 04, extracting the power consumption corresponding to the standard time period of the same first serial number code in multiple specified cycles; Then, the difference in electric energy consumption between the standard time periods corresponding to the same first serial number code in each specified period is calculated; Step 05, mark all the energy differences as DCi, i=1, 2, ... n, n represents the number of energy differences; Then, the deviation value L1 of the corresponding n groups of electric energy difference DCi is calculated using the variance calculation formula, where || refers to the absolute value of the value in brackets, and DCp refers to the average value of all DCi involved in the L1 calculation; Step 06, compare the deviation value L1 with the preset deviation threshold L1y: If L1>L1y, it means that the discrete degree of the n-group electric energy difference DCi is large; Next, the corresponding DCi values ​​are deleted in descending order according to |DCi-DCp| and the remaining deviation value L1 is calculated accordingly until L1≤L1y; Afterwards, the number of DCi deleted when L1≤L1y is obtained, and then the number value is divided by n, and the calculated result is recorded as the periodicity determination coefficient; Step 07. Compare the periodicity determination coefficient with the preset periodicity determination threshold, and divide the corresponding standard time period into a periodic time period and a non-periodic time period according to the comparison result.

3. The electric power control and regulation system according to claim 2, characterized in that: In Step03, the electric energy calculation formula is: W=U*I*t, and the electric energy consumption W in each standard period is calculated; Wherein, U represents the mean value of the voltage parameter collected in real time at each time node in the corresponding standard period, I represents the mean value of the current parameter collected in real time at each time node in the corresponding standard period, and t represents the duration of the standard period.

4. The electric power control and regulation system according to claim 2, characterized in that: In Step 07, 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.

5. The electric power control and regulation system according to claim 1, characterized in that: The power regulation coefficient in the periodic time period in the control processing unit is obtained as follows: an area is selected; SA1. Obtain the output power and power factor of the power supply bus in the area, and mark the output power and power factor of the power supply bus in the area as Ps and Py respectively; SA2. In a plurality of designated 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 in each periodic time period by P=U*I; The power consumption in each periodic period is marked as Pj, j = 1, 2, ... m; SA3. Calculate the deviation value L2 of the corresponding m groups of power consumption Pj using the variance calculation formula, where || refers to the absolute value of the value in brackets, and Pp refers to the average value of all Pj involved in the L2 calculation; SA4. Compare the deviation value L2 with the preset deviation threshold L2y: If L2>L2y, it means that the discrete degree of the power consumption Pj of group m is large, and then the corresponding Pj values ​​are deleted in order from large to small according to |Pj-Pp| and the remaining deviation value L2 is calculated accordingly, until L1≤L2y. After that, when L2≤L2y is obtained, the Pj of the corresponding L2 is calculated, and the average value of all corresponding Pj is obtained, and then its value is marked as the standard power consumption P0 of the corresponding periodic period; SA5. Calculate the power regulation coefficient of the area through Pt=|Ps*Py-P0|.

6. The electric power control and regulation system according to claim 5, characterized in that: The power regulation coefficient in the non-periodic period in the control processing unit is obtained as follows: an area is selected; SB1. In the non-periodic time periods corresponding to the multiple specified periods, extract the temperature parameters and the number of people in the standard time period corresponding to the same first serial number code; SB2. In the non-periodic time periods corresponding to the multiple specified periods, extract the consumed electric energy of all standard time periods corresponding to the same first serial number code; SB3. First, select the minimum consumed electric energy in a standard period as the basic electric energy; Then the difference between the consumed power and the basic power in other standard time periods is calculated and marked as the power analysis difference; At the same time, the temperature parameters and the number of people in the standard period are respectively used as the basic temperature value and the basic number of people value; Then, the difference between the temperature parameters of other standard time periods and the basic temperature value is calculated and marked as the temperature analysis difference, and the difference between the number of personnel and the basic number of personnel is marked as the number of personnel analysis difference; SB4. In multiple standard time periods corresponding to the same temperature analysis difference, the standard influencing factor of the number of personnel is calculated based on multiple groups of power analysis differences and personnel analysis differences in two standard time periods; SB5. In multiple standard time periods corresponding to the personnel quantity analysis difference, the temperature standard influencing factor is calculated according to the power analysis difference and temperature analysis difference in multiple groups of two standard time periods in the manner of SB4; SB6. In the non-periodic time periods corresponding to the multiple designated periods, the standard electric energy corresponding to the standard time period of each designated period is calculated according to the consumed electric energy, temperature parameters, and the number of personnel in all the standard time periods corresponding to the same first serial number code, and the average value of the standard electric energy corresponding to the standard time period of all designated periods is calculated, and the average value is used as the calculated standard electric energy; SB7. The real-time collection unit collects the current environmental data of the current area in real time at the initial node of the non-periodic period to estimate the power consumption, and obtains the estimated power consumption Pg: SB8. Calculate the power regulation coefficient of the area through Pt=|Ps*Py-Pg|.

7. The electric power control and regulation system according to claim 6, characterized in that: In SB4, the calculation method of the personnel standard impact factor is as follows: Select two standard time periods, and mark the difference in electric energy analysis within the two standard time periods as DF1 and DF2 respectively; meanwhile, mark the difference in the number of selected personnel analysis within the two standard time periods as RF1 and RF2 respectively; Then, the personnel impact coefficient RY corresponding to the two standard time periods is calculated by RY=|DF1-DF2| / |RF1-RF2|; Similarly, for multiple values ​​corresponding to the same temperature analysis difference, select the power analysis difference and personnel analysis difference in the other two standard time periods, and calculate the personnel impact coefficient corresponding to the other two standard time periods; Finally, the average value of all the obtained personnel quantity influence coefficients is calculated and marked as the personnel quantity standard influence factor.

8. The electric power control and regulation system according to claim 6, characterized in that: In SB6, the calculation method for calculating standard electrical energy is as follows: Select a specified period, and set a standard temperature parameter and a standard number of personnel. The standard temperature parameter and the standard number of personnel are fixed values, which are 22.5℃ and 0 respectively. pass: The first calculation formula: Calculation temperature = |temperature parameter - standard temperature parameter| Second calculation formula: Calculated number of personnel = |number of personnel - standard number of personnel| The third calculation formula: Standard electric energy = consumed electric energy - calculated temperature * temperature standard impact factor - calculated number of personnel * number of personnel standard impact factor The standard electric energy of the specified cycle corresponding to the standard time period is calculated.

9. The electric power control and regulation system according to claim 6, characterized in that: In SB7, the estimated power consumption is calculated as follows: 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; 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 of SB71 into the replaced third calculation formula, then perform reverse calculation to obtain the estimated consumed electric energy for the current standard period, then divide the estimated consumed electric energy by t to obtain the estimated electric power Pg for the non-periodic period.

10. The electric power control and regulation system according to claim 6, characterized in that: The control processing unit is also used 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 calculated result of Ps*Py-P0 is a positive value, it means that the output power needs to be reduced in this area; If the calculated result of Ps*Py-P0 is a negative value, it means that the output power needs to be increased in this area; During non-periodic periods: 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; If the calculated result of Ps*Py-Pg is a negative value, it means that the output power of this area needs to be increased.

Images