CN116846082B - Remote control system for power distribution cabinet - Google Patents
Remote control system for power distribution cabinet Download PDFInfo
- Publication number
- CN116846082B CN116846082B CN202311112068.4A CN202311112068A CN116846082B CN 116846082 B CN116846082 B CN 116846082B CN 202311112068 A CN202311112068 A CN 202311112068A CN 116846082 B CN116846082 B CN 116846082B
- Authority
- CN
- China
- Prior art keywords
- power
- distribution cabinet
- power distribution
- data
- environmental
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000007613 environmental effect Effects 0.000 claims abstract description 72
- 238000012544 monitoring process Methods 0.000 claims description 24
- 239000000779 smoke Substances 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 3
- 238000011217 control strategy Methods 0.000 abstract description 5
- 230000007547 defect Effects 0.000 abstract description 3
- 238000009472 formulation Methods 0.000 abstract description 3
- 239000000203 mixture Substances 0.000 abstract description 3
- 230000001105 regulatory effect Effects 0.000 description 22
- 230000000875 corresponding effect Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B1/00—Frameworks, boards, panels, desks, casings; Details of substations or switching arrangements
- H02B1/26—Casings; Parts thereof or accessories therefor
- H02B1/30—Cabinet-type casings; Parts thereof or accessories therefor
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides a remote regulation and control system for a power distribution cabinet, which utilizes a historical data set stored in a remote processing center, formulates a corresponding control strategy according to the historical parameter set, judges the association degree of all environmental parameters and the output power of the power distribution cabinet by utilizing information gain during strategy formulation, and selects the environmental parameter with the largest association degree to regulate the output power of the power distribution cabinet, thereby realizing the regulation of the output power through the environmental parameter and effectively overcoming the related defects in the prior art.
Description
Technical Field
The invention relates to a remote control system for a power distribution cabinet.
Background
Along with the continuous development of the construction work of the power grid system in China, the use frequency of the power distribution cabinet is higher and higher, and the power distribution cabinet plays an increasingly important role in the whole power grid system, so that the power distribution cabinet plays a vital role in the normal operation of the power grid system.
In the operation process of the power distribution cabinet, the output power of the power distribution cabinet often needs to be adjusted to ensure that the output power is within a reasonable range. Currently, for the regulation of the output power of a power distribution cabinet, direct regulation of the terminal voltage or current is often focused on, whereby the power P is regulated by a variation of the voltage value U or of the current value I according to the formula p=u×i.
However, in actual operation, the reason for the output power to be out of a reasonable range is not directly derived from voltage or current, but directly from changes in environmental factors in the power distribution cabinet. For example, a change in temperature or humidity in the power distribution cabinet may also cause a change in electrical properties (e.g., resistance, capacitance, etc.) of electrical components in the power distribution cabinet, which may result in a change in output power. In this case, therefore, the voltage or current value is often "palliatively and not substantially" or the most direct way of adjusting the environmental parameters and thus the output power.
However, the main difficulty faced in adjusting the output power by adjusting environmental parameters is that often more than one environmental parameter, such as temperature, humidity. In the event of an unreasonable variation in power, it is difficult to determine exactly which environmental parameter (e.g., temperature or humidity) should be adjusted to bring the power within reasonable limits. This dramatically increases the difficulty of adjusting the output power by adjusting the environmental parameters.
Disclosure of Invention
The invention provides a remote control system for a power distribution cabinet, which effectively solves the technical problems in the prior art.
The invention provides a remote regulation and control system for a power distribution cabinet, which comprises an environment monitoring unit and an electrical monitoring unit which are arranged in the power distribution cabinet, a remote processing center which is in remote communication with the power distribution cabinet, and an adjusting unit which is arranged in the power distribution cabinet, wherein the environment monitoring unit simultaneously monitors n environmental parameters in the power distribution cabinet in real time, n is more than or equal to 2, the electrical monitoring unit monitors the electrical parameters in the power distribution cabinet in real time and then monitors the output power of the power distribution cabinet, the environment monitoring unit and the electrical monitoring unit remotely send the environmental parameters and the electrical parameters to the remote processing center, thereby the environmental parameters, the electrical parameters and the output power form a history parameter set which is stored in the remote processing center, the remote processing center formulates a strategy according to the history parameter set and sends an instruction to the adjusting unit based on the strategy, and the adjusting unit adjusts the current output power of the power distribution cabinet according to the instruction; the history parameter set of the remote processing center comprises m groups of history data, wherein m is more than or equal to 3, each group of history data comprises data of n environmental parameters and data of a corresponding output power, wherein the data of n environmental parameters are collected from an environmental monitoring unit and an electrical monitoring unit at a specific history moment, and the history parameter set comprises data of m output powers; dividing the data of the m output powers into three power sections, namely a high power section, a medium power section and a low power section according to the power data size, and calculating the empirical entropy under the division of the three power sections according to the data quantity of the output power contained in each power section; dividing each environmental parameter in the history parameter set into three environmental sections, namely a high-value area, a medium-value area and a low-value area, classifying the data of m output powers according to the three environmental sections of each environmental parameter, and counting the data quantity of the output powers in each classified environmental section, wherein the data quantity belongs to the three power sections respectively, so that the empirical condition entropy of the data of the output powers under each environmental parameter classification is calculated, and the empirical entropy and the empirical condition entropy are subtracted to obtain the information gain for each environmental parameter, so that the selected environmental parameter corresponding to the maximum value of the information gain is selected from the n environmental parameters; under the condition that the output power of the power distribution cabinet needs to be regulated, the remote processing center sends an instruction to the regulating unit, and the output power of the power distribution cabinet is regulated by regulating the selected environment parameters.
Preferably, the n environmental parameters include temperature, humidity, air pressure, smoke concentration.
Preferably, the electrical parameters include a terminal voltage and a terminal current, and the terminal voltage and the terminal current are multiplied to obtain the output power of the power distribution cabinet.
More preferably, an information gain threshold is set in the remote processing center, and if the maximum value of the information gain is smaller than the information gain threshold, in the case that the output power of the power distribution cabinet needs to be regulated, the remote processing center will not send an instruction for regulating the environmental parameter to the regulating unit, but directly send an instruction for regulating the electrical parameter to the regulating unit, and regulate the output power of the power distribution cabinet by regulating the terminal voltage or the terminal current.
Preferably, the empirical entropy is calculated by the following formula:
，
where K represents the number of power segments into which the data of m output powers itself can be divided, i.e., k=3, d is the total number of samples of the data of output powers in the historical parameter set, C k For a corresponding number of samples for each power segment.
Preferably, the empirical conditional entropy is calculated as follows:
，
where H (d|a) represents the empirical conditional entropy of the data at the output power at any one of the environmental parameters a, di represents the number of each class under a particular environmental parameter a, and Dik represents the number of samples per power segment under a class according to the environmental parameter a.
The remote regulation and control system for the power distribution cabinet provided by the invention utilizes the historical data set stored in the remote processing center, formulates a corresponding control strategy according to the historical parameter set, judges the association degree of all environmental parameters and the output power of the power distribution cabinet by utilizing the information gain during strategy formulation, and selects the environmental parameter with the largest association degree to regulate the output power of the power distribution cabinet, thereby realizing the regulation of the output power through the environmental parameter and effectively overcoming the related defects in the prior art.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following discussion will discuss the embodiments or the drawings required in the description of the prior art, and it is obvious that the technical solutions described in connection with the drawings are only some embodiments of the present invention, and that other embodiments and drawings thereof can be obtained according to the embodiments shown in the drawings without inventive effort for a person skilled in the art.
FIG. 1 illustrates a general block diagram of a remote regulation system for a power distribution cabinet in accordance with the present invention;
fig. 2 shows a general flow chart of a remote regulation system for a power distribution cabinet according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made in detail with reference to the accompanying drawings, wherein it is apparent that the embodiments described are only some, but not all embodiments of the present invention. All other embodiments, which can be made by a person of ordinary skill in the art without the need for inventive faculty, are within the scope of the invention, based on the embodiments described in the present invention.
The invention provides a remote regulation and control system for a power distribution cabinet, which is based on the comprehensive analysis of big data of historical data consisting of environmental parameters and power parameters, and can realize intelligent remote regulation and control of the output power of the power distribution cabinet.
In particular, fig. 1 shows a general block diagram of a remote regulation system for a power distribution cabinet according to the present invention. As shown in fig. 1, the system includes an environmental monitoring unit and an electrical monitoring unit disposed within a power distribution cabinet.
The environment monitoring unit can monitor n environmental parameters in the power distribution cabinet at the same time, wherein n is more than or equal to 2, such as temperature, humidity, air pressure, smoke concentration and the like. The electrical monitoring unit can monitor electrical parameters in the power distribution cabinet, including end-circuit voltage and circuit current, and further monitor output power of the power distribution cabinet.
The remote control system further comprises a remote processing center in remote communication with the power distribution cabinet, and the environment monitoring unit and the electrical monitoring unit remotely send the environment parameters and the electrical parameters which are respectively monitored in real time to the remote processing center. The remote processing center stores the environmental parameters and the electrical parameters, forms a historical parameter set, formulates a control strategy according to the historical parameter set, and forms a control instruction.
In the remote control system, the remote processing center sends the control instruction to an adjusting unit arranged in the power distribution cabinet in a remote mode, and the adjusting unit adjusts environmental parameters and/or electrical parameters in the power distribution cabinet according to the control instruction, so that the output power of the power distribution cabinet is adjusted.
As can be seen from the above description, the most central part of the whole remote control system is the remote processing center, which formulates the corresponding control strategy according to the historical parameter set, and thus forms the control command. Hereinafter, a policy making process of the remote processing center will be described in detail.
The history parameter set stored in the remote processing center includes m sets of history data (where m is equal to or greater than 3), and the m output power data may be divided into three sections, i.e., a high power section, a medium power section, and a low power section, according to the power data size. Each set of historical data contains n environmental parameter data collected from the environmental monitoring unit and the electrical monitoring unit at a particular historical time and a corresponding one of the output power data. Whereby the set of historical parameters contains m output power data.
The m output power data may be divided into three power sections, i.e., a high power section, a medium power section, and a low power section, according to the power data size.
For example, m=10000, the high power region has 3000 power data, the middle power region has 3000 power data, and the low power region has 4000 power data. The empirical entropy formula under this classification is:
，
where K represents the number of segments into which the m output power data itself can be divided (three segments are divided hereinabove, so k=3), D is the total number of samples of the output power data (10000 in this example), C k For the corresponding number of samples per segment (3000, 4000, respectively, in this example).
The empirical entropy H (D) = 1.5710 is thus calculated according to the above formula.
Then, each environmental parameter in the history parameter set is also divided into three environmental sections, namely a high value area, a medium value area and a low value area. For example, the environmental parameter such as temperature is divided into three sections, i.e., a high temperature region, a medium temperature region, and a low temperature region, and the m (e.g., m=10000) output power data are classified based on the three temperature regions (value regions). For example, 2000 of the 10000 output power data fall in the high temperature region, 3000 fall in the medium temperature region, and 5000 fall in the low temperature region. Further, the 2000 output power data falling in the high temperature zone includes 1500 high power zone data, 200 medium power zone data, 300 low power zone data; 3000 pieces of output power data falling in the medium temperature zone comprise 300 pieces of high power zone data, 2400 pieces of medium power zone data and 300 pieces of low power zone data; the 5000 pieces of output power data falling in the low temperature region include 1200 pieces of high power region data, 400 pieces of medium power region data, 3400 pieces of low power region data, whereby the empirical condition entropy, which takes the temperature classification in this case, can be calculated, with the following formula:
，
where H (D|A) represents the empirical conditional entropy of the power data at any one of the environmental parameters A, di represents the number of each class at a particular environmental parameter A, and Dik represents the number of samples per power segment at a class according to the environmental parameter A.
As an example, the empirical condition entropy under the environmental parameter of temperature is 1.0186. Thus, subtracting the empirical condition entropy from the empirical entropy yields a classification information gain of the environmental parameter, temperature, relative to the output power data, of 1.5710-1.0186 = 0.5524.
Similarly, using the above formula, the classification information gain of other environmental parameters (e.g., humidity, air pressure, smoke concentration, etc.) with respect to the output power data can also be found. For example, the humidity classification information gain is 0.4517, the air pressure classification information gain is 0.4039, and the smoke concentration classification information gain is 0.3329. It can be seen that the temperature, the environmental parameter, has the greatest gain in classification information relative to the output power data, which means that the temperature has the highest correlation with the output power among all the environmental parameters.
Therefore, in the case that the output power of the power distribution cabinet needs to be regulated, the remote processing center sends an instruction to a regulating unit installed in the power distribution cabinet, and the output power is regulated by regulating the temperature, namely the environmental parameter with the highest correlation degree with the output power.
Of course, an information gain threshold may be set in the remote processing center, indicating that all environmental parameters are not highly correlated with the output power if the maximum classification information gain is also less than the information gain threshold. In this way, in case the output power of the power distribution cabinet needs to be regulated, the remote processing center will not send a command for "regulating the environmental parameter" to the regulating unit, but directly send a command for regulating the electrical parameter to the regulating unit, for example, regulating the output power by regulating the terminal voltage or the terminal current.
Fig. 2 shows a general flow chart of a remote regulation system for a power distribution cabinet according to the present invention.
The remote control system for the power distribution cabinet provided by the invention is approximately introduced. According to the remote regulation and control system for the power distribution cabinet, the historical data set stored in the remote processing center is utilized, the corresponding control strategy is formulated according to the historical parameter set, the degree of association between all environment parameters and the output power of the power distribution cabinet is judged by utilizing the information gain during strategy formulation, and the environment parameter with the largest degree of association is selected to regulate the output power of the power distribution cabinet, so that the regulation of the output power through the environment parameter is realized, and the related defects in the prior art are effectively overcome.
The foregoing description of the exemplary embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any modifications, equivalents, and variations which fall within the spirit and scope of the invention are intended to be included in the scope of the invention.
Claims (4)
1. A remote control system for a power distribution cabinet is characterized by comprising an environment monitoring unit and an electrical monitoring unit which are arranged in the power distribution cabinet, a remote processing center which is in remote communication with the power distribution cabinet, and an adjusting unit which is arranged in the power distribution cabinet,
wherein, the environment monitoring unit simultaneously monitors n environmental parameters in the power distribution cabinet in real time, n is more than or equal to 2, the electrical monitoring unit monitors the electrical parameters in the power distribution cabinet in real time and further monitors the output power of the power distribution cabinet,
the environment monitoring unit and the electrical monitoring unit remotely send the environment parameters and the electrical parameters to the remote processing center, so that the environment parameters, the electrical parameters and the output power form a history parameter set which is stored in the remote processing center, the remote processing center formulates a strategy according to the history parameter set and sends an instruction to the adjusting unit based on the strategy, and the adjusting unit adjusts the current output power of the power distribution cabinet according to the instruction;
the history parameter set of the remote processing center comprises m groups of history data, wherein m is more than or equal to 3, each group of history data comprises data of n environmental parameters and data of a corresponding output power, wherein the data of n environmental parameters are collected from an environmental monitoring unit and an electrical monitoring unit at a specific history moment, and the history parameter set comprises data of m output powers;
dividing the data of the m output powers into three power sections, namely a high power section, a medium power section and a low power section according to the power data size, and calculating the empirical entropy under the division of the three power sections according to the data quantity of the output power contained in each power section;
dividing each environmental parameter in the history parameter set into three environmental sections, namely a high-value area, a medium-value area and a low-value area, classifying the data of m output powers according to the three environmental sections of each environmental parameter, and counting the data quantity of the output powers in each classified environmental section, wherein the data quantity belongs to the three power sections respectively, so that the empirical condition entropy of the data of the output powers under each environmental parameter classification is calculated, and the empirical entropy and the empirical condition entropy are subtracted to obtain the information gain for each environmental parameter, so that the selected environmental parameter corresponding to the maximum value of the information gain is selected from the n environmental parameters;
in the case of a current need to adjust the output power of the power distribution cabinet, the remote processing center issues instructions to the adjustment unit to adjust the current output power of the power distribution cabinet by adjusting selected environmental parameters,
the calculation formula of the empirical entropy is as follows:
，
where K represents the number of power segments into which the data of m output powers itself can be divided, i.e., k=3, d is the total number of samples of the data of output powers in the historical parameter set, C k For a corresponding number of samples per power segment,
the calculation formula of the empirical condition entropy is as follows:
，
where H (d|a) represents the empirical conditional entropy of the data at the output power at any one of the environmental parameters a, di represents the number of each class under a particular environmental parameter a, and Dik represents the number of samples per power segment under a class according to the environmental parameter a.
2. The remote control system for a power distribution cabinet of claim 1, wherein the n environmental parameters include temperature, humidity, air pressure, smoke concentration.
3. The remote control system for a power distribution cabinet of claim 1, wherein the electrical parameters include a terminal voltage and a terminal current, and wherein the terminal voltage and the terminal current are multiplied to obtain the output power of the power distribution cabinet.
4. A remote control system for a power distribution cabinet according to claim 2, characterized in that an information gain threshold is set in the remote processing center, if the maximum value of the information gain is smaller than the information gain threshold, the remote processing center will not issue an instruction to adjust an environmental parameter to the adjusting unit, but directly issue an instruction to adjust an electrical parameter to the adjusting unit, and adjust the output power of the power distribution cabinet by adjusting the end voltage or the end current.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311112068.4A CN116846082B (en) | 2023-08-31 | 2023-08-31 | Remote control system for power distribution cabinet |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311112068.4A CN116846082B (en) | 2023-08-31 | 2023-08-31 | Remote control system for power distribution cabinet |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116846082A CN116846082A (en) | 2023-10-03 |
| CN116846082B true CN116846082B (en) | 2023-11-03 |
Family
ID=88163848
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311112068.4A Active CN116846082B (en) | 2023-08-31 | 2023-08-31 | Remote control system for power distribution cabinet |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116846082B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205647022U (en) * | 2016-02-02 | 2016-10-12 | 贵州鸿桂源电力设备有限公司 | Remote monitering system of switch board |
| CN108966448A (en) * | 2018-05-31 | 2018-12-07 | 淮阴工学院 | Dynamic light regulation and control method based on self-adaptive fuzzy decision tree |
| EP3467605A1 (en) * | 2017-10-05 | 2019-04-10 | Schneider Electric Industries SAS | Method for monitoring a temperature control system associated with an electrical cabinet |
| WO2020143328A1 (en) * | 2019-01-11 | 2020-07-16 | 平安科技（深圳）有限公司 | Server room environment monitoring method employing big data, and related device |
| CN112713652A (en) * | 2020-12-24 | 2021-04-27 | 南京岁卞智能设备有限公司 | Intelligent power distribution room comprehensive monitoring management system based on cloud computing platform |
| CN113988215A (en) * | 2021-11-15 | 2022-01-28 | 国网四川省电力公司营销服务中心 | Power distribution network metering cabinet state detection method and system |
| CN114915028A (en) * | 2022-06-01 | 2022-08-16 | 安徽上诚电力科技有限公司 | Interlocking remote control system based on low-voltage power distribution cabinet |
-
2023
- 2023-08-31 CN CN202311112068.4A patent/CN116846082B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205647022U (en) * | 2016-02-02 | 2016-10-12 | 贵州鸿桂源电力设备有限公司 | Remote monitering system of switch board |
| EP3467605A1 (en) * | 2017-10-05 | 2019-04-10 | Schneider Electric Industries SAS | Method for monitoring a temperature control system associated with an electrical cabinet |
| CN108966448A (en) * | 2018-05-31 | 2018-12-07 | 淮阴工学院 | Dynamic light regulation and control method based on self-adaptive fuzzy decision tree |
| WO2020143328A1 (en) * | 2019-01-11 | 2020-07-16 | 平安科技（深圳）有限公司 | Server room environment monitoring method employing big data, and related device |
| CN112713652A (en) * | 2020-12-24 | 2021-04-27 | 南京岁卞智能设备有限公司 | Intelligent power distribution room comprehensive monitoring management system based on cloud computing platform |
| CN113988215A (en) * | 2021-11-15 | 2022-01-28 | 国网四川省电力公司营销服务中心 | Power distribution network metering cabinet state detection method and system |
| CN114915028A (en) * | 2022-06-01 | 2022-08-16 | 安徽上诚电力科技有限公司 | Interlocking remote control system based on low-voltage power distribution cabinet |
Non-Patent Citations (1)
| Title |
|---|
| 远程环境在线监测系统的设计;陈立定;冯景辉;胥布工;;同济大学学报(自然科学版)(第11期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116846082A (en) | 2023-10-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11735915B2 (en) | System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management | |
| AU2010245273B2 (en) | System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management | |
| US8731728B2 (en) | Power distribution system | |
| US11831163B2 (en) | System and method for fluctuating renewable energy-battery optimization to improve battery life-time | |
| CN111306728B (en) | Air volume regulating and controlling method and device for air conditioning system and computer equipment | |
| Song et al. | Impact of uncertain parameters on TCL power capacity calculation via HDMR for generating power pulses | |
| CN109066667B (en) | District city electric power intelligence control system | |
| CN112344996A (en) | Air compression station based on monitoring of Internet of things | |
| Nazir et al. | Load synchronization and sustained oscillations induced by transactive control | |
| CN107228453A (en) | A kind of air-conditioner with fixed frequency control method and air-conditioner with fixed frequency | |
| CN116774749B (en) | Intelligent temperature-control electric power cabinet | |
| CN115388520A (en) | Air conditioner control method, air conditioner control device, air conditioner and storage medium | |
| Zhang et al. | Optimal price-controlled demand response with explicit modeling of consumer preference dynamics | |
| CN116846082B (en) | Remote control system for power distribution cabinet | |
| CN117543822A (en) | Monitoring system for intelligent substation relay protection equipment | |
| CN107945820A (en) | A kind of solid state hard disc temprature control method and temperature control modules | |
| CN113218053A (en) | Air conditioner load regulation and control system | |
| US20240006884A1 (en) | System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management | |
| CN117650628A (en) | Energy efficiency management system based on self-adaptive preconditioning scene | |
| CN116792882A (en) | Remote intelligent control management system for air conditioner | |
| CN107560065A (en) | A kind of intelligent air-conditioner control method and server | |
| CN105546772A (en) | Energy-saving control method of central air conditioner | |
| CA2904829C (en) | System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management | |
| CN106887848B (en) | Voltage power-less real-time control method based on Fuzzy Pattern Recognition | |
| CN115933507B (en) | Intelligent regional power consumption energy saving method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |