CN114498681A - Method and device for intelligently adjusting and predicting unbalanced load of power distribution network - Google Patents
Method and device for intelligently adjusting and predicting unbalanced load of power distribution network Download PDFInfo
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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- 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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/01—Arrangements for reducing harmonics or ripples
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Abstract
The invention provides a method and a device for intelligently adjusting and predicting unbalanced load of a power distribution network, wherein the method is applied to monitoring equipment of a cloud monitoring layer, and comprises the following steps: step 1: receiving running state data of dynamic compensation equipment, intelligent phase change equipment and an intelligent instrument in a low-voltage distribution network; the running state data is sent through a network layer protocol; and 2, step: calculating the unbalance degree of three-phase power utilization in the low-voltage distribution network; and 3, step 3: adjusting three-phase load according to the unbalance degree, and improving the quality of electric energy output by three phases; or extracting historical data of the running state of the low-voltage distribution network, and performing cluster analysis on the running state data to form different classifications; and the load of the low-voltage distribution network can be predicted based on the operating state data and the different classifications.
Description
Technical Field
The invention belongs to the technical field of electric power, and relates to a method and a device for intelligently adjusting and predicting unbalanced loads of a power distribution network.
Background
Among the common power quality problems, the three-phase imbalance and harmonic problems are the most prominent, and the economic loss is the largest. In the low-voltage distribution network, the voltage of a distribution area of the three-phase distribution network is in an unbalanced state for a long time due to uncontrollable capacity increase of single-phase load access, randomness of power utilization time of users and other factors. The power supply line loss can reach more than 12.8%, so that the voltage on the user side is too low to meet the access requirement. The power supply quality with low qualification rate seriously restricts the development of the future smart grid.
In summary, the prior art has the following disadvantages: at present, equipment for controlling the power quality in the domestic market can only control a certain type of quality problem independently, and a system-level comprehensive control solution is not provided. Aiming at solving the problem of unbalanced three-phase load, most domestic manufacturers have power complete equipment, such as NAD series three-phase unbalanced adjusting devices SPC products and related intelligent phase change switches of south Germany power companies, and aiming at the problem of harmonic waves, Active Power Filters (APF) of a plurality of manufacturers can solve the problem, but are limited by capacity, limited in treatment range and high in price. The situation of overcompensation or undercompensation easily occurs in a single treatment scheme aiming at the power quality problem, intelligent adjustment cannot be achieved, and intelligent prediction cannot be achieved for the power quality problem which possibly occurs.
Disclosure of Invention
The invention mainly aims to provide a method and a device for intelligently adjusting and predicting unbalanced loads of a power distribution network, and aims to solve the problems of unbalanced three-phase loads and harmonic waves and guarantee high-quality output of electric energy.
In order to achieve the purpose, the invention provides a method for intelligently adjusting and predicting unbalanced load of a power distribution network, which is applied to monitoring equipment of a cloud monitoring layer and comprises the following steps:
step 1: receiving running state data of dynamic compensation equipment, intelligent phase change equipment and an intelligent instrument in a low-voltage distribution network; the running state data is sent through a network layer protocol;
step 2: calculating the unbalance degree of three-phase power utilization in the low-voltage distribution network;
and step 3: adjusting three-phase load according to the unbalance degree, and improving the quality of electric energy output by three phases; or extracting historical data of the running state of the low-voltage distribution network, and performing cluster analysis on the running state data to form different classifications; and the load of the low-voltage distribution network can be predicted based on the operating state data and the different classifications.
In particular, the monitoring device of the cloud monitoring layer comprises: the system comprises a monitoring master station and an intelligent terminal; the dynamic compensation device uses a three-level half-bridge module.
In particular, the unbalance comprises:
in the formula of alphaiRepresenting the degree of unbalance, I, of the I-th phase of the three phases a, b and cmiIs the maximum current value in phase i; i isavThe average of the three-phase power.
In particular, adjusting the three-phase load according to the unbalance degree, and improving the quality of the electric energy output by the three phases comprises: when the three-phase unbalance rate exceeds a set numerical value, controlling the switching state in the terminal wheel inspection platform area, and performing phase change control on the appointed phase change switch through the control terminal according to the running condition of the phase change switch; and then, sending a coordination compensation instruction to the dynamic compensation equipment according to the adjusted unbalance rate, and adjusting the distribution transformer output current according to the capacity.
Particularly, the phase change control of the appointed phase change switch by the control terminal comprises the step of transferring a heavy-load phase load to a light-load phase, so that the load distribution in a line can be adjusted in a wide range.
Specifically, extracting historical data of the operating state of the low-voltage distribution network, performing cluster analysis on the operating state data, and forming different classifications includes: a. extracting historical data, wherein the historical data comprises a plurality of characteristic data of the load of the low-voltage distribution network; taking each of the plurality of feature data as a clustering center, and traversing and calculating the distance between any two clustering centers; b. selecting two nearest clustering centers, and merging the two nearest clustering centers; c. and d, detecting the number of the clustering centers, and if the number of the clustering centers is larger than the preset number of data categories, repeating the step b and the step c until the number of the clustering centers is equal to the preset number of data categories, so as to obtain the categories required by data classification.
In particular, the operating state data includes phase sequence, amplitude, phase, rate of change of imbalance, and historical switching times and compensation rates of the device; the different classifications include: the load of the power distribution network is normal, the load of the power distribution network is to be observed, or the load of the power distribution network is an alarm.
The invention also provides a device for intelligently adjusting and predicting the unbalanced load of the power distribution network, which comprises the following components:
the state data receiving module is used for receiving the running state data of the dynamic compensation equipment, the intelligent phase change equipment and the intelligent instrument in the low-voltage distribution network; the running state data is sent through a network layer protocol;
the calculating module is used for calculating the unbalance degree of three-phase power utilization in the low-voltage distribution network;
the load adjustment and clustering prediction module: the three-phase load is adjusted according to the unbalance degree, and the quality of electric energy output by three phases is improved; or extracting historical data of the running state of the low-voltage distribution network, and performing cluster analysis on the running state data to form different classifications; and the load of the low-voltage distribution network can be predicted based on the operating state data and the different classifications.
The method and the device of the invention can produce the following technical effects:
1. unbalanced load optimizes the treatment technique, the functional effect: automatic phase discrimination and grading coordination compensation are carried out, so that the unbalance degree is less than 5%, and the user side keeps more than 90% of rated voltage;
2. remote monitoring and analysis are carried out, state maintenance is realized, and labor maintenance cost is reduced;
3. a short-term load imbalance state prediction technology based on artificial intelligence;
drawings
FIG. 1 is a system architecture diagram illustrating the intelligent regulation and prediction of unbalanced loads in a power distribution network in accordance with the present invention;
FIG. 2a is a schematic diagram of a bidirectional electronic switch with anti-parallel thyristors used in the prior art;
FIG. 2b is a schematic view of a combination switch of an auxiliary contactor assembly as used in the prior art;
FIG. 2c is a schematic view of an access switch employed in the present invention;
FIG. 3 is a schematic diagram of waveforms of voltage and current before and after intelligent commutation;
FIGS. 4 and 5 are diagrams illustrating the effects of the compensation device before and after the compensation device is put into operation;
fig. 6 is a diagram of short term load imbalance prediction employed in the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings.
Among the common power quality problems, the three-phase imbalance and harmonic problems are the most prominent, and the economic loss is the largest. In the low-voltage distribution network, the voltage of a distribution area of the three-phase distribution network is in an unbalanced state for a long time due to uncontrollable capacity increase of single-phase load access, randomness of power utilization time of users and other factors. The loss of the power supply line can reach more than 12.8 percent, so that the voltage of the user side is too low to meet the access requirement. The low-qualified-rate power supply quality seriously restricts the development of the future smart grid.
In order to solve the above problems, the present invention provides a method for intelligently adjusting and predicting unbalanced loads of a power distribution network, which is applied to a monitoring device of a cloud monitoring layer, and the method includes the following steps: step 1: receiving running state data of dynamic compensation equipment, intelligent phase change equipment and an intelligent instrument in a low-voltage distribution network; the running state data is sent through a network layer protocol;
the system adopted in the method is mainly divided into an unbalanced management equipment layer, a network transmission layer and a cloud monitoring layer. The equipment layer comprises unbalance dynamic compensation equipment, intelligent phase conversion equipment, an intelligent instrument equipped in the original system and the like. The intelligent phase-changing equipment is arranged in a plurality of heavy-load single-phase branches in the transformer area and plays a role in adjusting load distribution in the line in a large range. The unbalance dynamic compensation equipment is arranged on the output side of the transformer area and has various control modes such as active current balance, reactive compensation, harmonic suppression and the like. And the load distribution can be adjusted in a small range by randomly combining the modes according to the capacity, so that the quality of the output electric energy of the transformer in the transformer area is improved.
The network transmission layer collects data information such as running states, load electrical parameters and the like from the dynamic compensation equipment, the intelligent phase change equipment and the intelligent instrument through communication technologies such as GPRS, power line carrier or ZigBee and uploads the data information to the monitoring master station and the intelligent terminal on the cloud monitoring layer. The intelligent cloud can monitor the load condition of the low-voltage power distribution terminal at any time. If the unbalance degree of the three-phase current is serious in a certain time period, the cloud end carries out decision analysis according to the current data uploaded by the equipment layer
Step 2: calculating the unbalance degree of three-phase power utilization in the low-voltage distribution network; three-phase unbalance of a low-voltage distribution network in an electric power system is usually measured by using unbalance, which is defined as follows:
in the formula of alphaiRepresenting the degree of unbalance, I, of the I-th phase of the three phases a, b and cmiIs the maximum current value in phase i; i isavThe average of the three-phase power. The low-voltage composite asymmetric access is the root cause of unbalance, and can be divided into the following categories according to the performance characteristics:
reason for subscriber wiring
Due to the fact that planning management of the low-voltage distribution station area lacks positions, the number of users born among three phases is not distributed uniformly, or the electricity utilization difference of users of each phase is large. Such behavior is characterized in that the phase with a large load is always large, the phase with a small load is always small, and the proportion of the phase difference is not substantially changed in each period of the whole day.
Time interval difference
The three-phase load is basically balanced, and the unbalance degree is serious in the peak load period at night. Or the mixed occasion of factory three-phase production electricity and single-phase domestic electricity, the three-phase production electricity is mainly used in daytime, the phase current is relatively balanced, and the three-phase current phase difference is large at the peak time of the domestic electricity at night.
Seasonal differences
The proportion of three-phase production electricity and single-phase domestic electricity varies in each season, and single-phase loads are unevenly distributed on the three phases. Such as irrigation in busy seasons, air conditioning in summer, etc.
And step 3: adjusting three-phase load according to the unbalance degree, and improving the quality of electric energy output by three phases; or extracting historical data of the running state of the low-voltage distribution network, and performing cluster analysis on the running state data to form different classifications; and predicting the load of the low-voltage distribution network based on the operation state data and the different classifications.
This scheme adopts intelligent commutation equipment and dynamic compensation equipment, realizes the unbalanced control of low pressure three-phase load:
(a) intelligent phase-changing equipment
The intelligent commutation equipment changes the load access phase by accessing the commutation switch, and averagely distributes the composite capacity born by each phase. The traditional access switch is a mechanical switch, the switching time reaches more than 1s, and the instantaneous power failure of a user can be caused during phase change. Therefore, the method can only be applied to user nodes with low voltage sensitivity and large power factor.
To improve the switching time, the impact on the user supply is reduced. The access switches in the market at present mainly adopt a bidirectional electronic switch of an anti-parallel thyristor or a composite switch added with an auxiliary contactor assembly, as shown in fig. 2(a) (b). Because of the adoption of the thyristor which is a semi-controlled power electronic device, an additional driving circuit is needed. And because of its inverse characteristics, it takes at least half a voltage fundamental period to turn off, so the load switching time is still limited.
The scheme adopts a mode of connecting a diode and an auxiliary contactor assembly which are conducted in a single direction, as shown in fig. 2 (c). Without the need for additional drive circuitry, the switching response time can be up to 10ms (half the fundamental period) or less, with the switching effect shown in fig. 3.
In addition, the problem of disordered phase sequence identification in the power distribution station area is solved, the error rate is high by adopting a manual proofreading method, and extra workload is increased. According to the scheme, an algorithm for automatically identifying the phase sequence is added into the intelligent phase change equipment, and the voltage real phase sequence of the access point is automatically distinguished. And a plug-and-play mode is adopted, so that the field construction time is effectively shortened, and the working efficiency of operators is improved.
(b) Dynamic compensation equipment (three-level inverter)
The basic working principle of the unbalanced load dynamic compensation equipment is mainly that a compensation device is additionally arranged on the power supply side or the load side of a distribution network to adjust and compensate asymmetric loads among three phases, so that the unbalance degree of three-phase current is reduced, and a three-phase unbalanced system is adjusted to a three-phase balanced system. The method can quickly and effectively inhibit three-phase imbalance without changing the distribution network structure and the operation mode, and can also compensate the characteristics of reactive power and harmonic waves, so that the method is an effective measure for solving the three-phase imbalance.
The traditional unbalance compensation equipment mostly adopts a two-level half-bridge structure based on an IGBT, the voltage stress under the structure is low, an output filter element is large, and the volume and the capacity of the equipment are limited in the application of a low-voltage platform area.
This scheme adopts three level structure as the basic topology of dynamic compensation equipment, adopts the three level half-bridge modules of the big english flying ice of photovoltaic field shipment volume. The voltage stress of the device is reduced to half, and therefore the loss is reduced correspondingly. And by improving the equivalent switching frequency, the volume of the output filter element is greatly reduced. Under the condition of the same cost, the capacity of the compensation equipment is effectively improved. The effect before and after the compensation device is put into operation is shown in fig. 4 and 5.
The intelligent three-phase unbalanced load adjusting system selects a certain number of single-phase loads to install phase-changing equipment respectively according to the wiring mode of the low-voltage distribution network, the distribution area loads and the user distribution condition, and the part of the loads are used as adjustable loads. And a dynamic compensation device equipped with a control terminal is arranged at each return line on the low-voltage side of the transformer, the three-phase operation condition of the return line is collected and monitored in real time,
and calculating the balance degree according to the acquired data. When the control terminal monitors that the three-phase imbalance rate exceeds a set value, for example, the three-phase imbalance rate is set to exceed 12%, at the moment, emergency measures must be taken, the control terminal detects the switching state in a distribution area in turn, and a series of control strategy analysis is carried out according to the running condition of the controllable switch, such as selection of an optimal action switch, verification of whether the action conditions such as time and manual setting are met, calculation of the three-phase imbalance rate after adjustment, and the like. And if the action condition is met, a control signal is sent out, the specified phase change switch is subjected to phase change control through the control terminal, the heavy-load phase load is transferred to the light-load phase, and the load distribution in the line is adjusted in a wide range. And then, sending a coordination compensation instruction to the dynamic compensation equipment according to the adjusted unbalance rate, finely adjusting the distribution transformer output current according to the capacity, and improving the electric energy quality of three-phase output.
The second option in step 3 is: when the three-phase unbalance rate does not exceed 12%, historical data of the running state of the low-voltage distribution network can be extracted, and clustering analysis is carried out on the running state data to form different classifications; and predicting the load of the low-voltage distribution network based on the operation state data and the different classifications. Extracting historical data of the running state of the low-voltage distribution network, and performing cluster analysis on the running state data to form different classifications, wherein the classification comprises the following steps: a. extracting historical data, wherein the historical data comprises a plurality of characteristic data of the load of the low-voltage distribution network; the operation state data comprises phase sequence, amplitude, phase, unbalance change rate, historical switching times and compensation rate of equipment and the like;
in the embodiment, a concept similar to dispersive clustering (kmeans) is adopted, each of the plurality of characteristic data is used as a clustering center, and the distance between any two clustering centers is calculated in a traversing manner; for example, the phase sequence, the amplitude, the phase, the unbalance change rate and the historical switching times and the compensation rate of the equipment can be used as clustering centers, and optionally, the distance between the six characteristics can be calculated;
b. selecting two clustering centers with the maximum correlation degree, namely the nearest distance, and merging the two clustering centers; c. and d, detecting the number of the clustering centers, and if the number of the clustering centers is larger than the preset number of data categories, repeating the step b and the step c until the number of the clustering centers is equal to the preset number of data categories, so as to obtain the categories required by data classification. According to six characteristics of historical data, two characteristics of phase and unbalance change rate which are possibly calculated are the highest in correlation, namely two clustering centers which are closest to each other, the two characteristics can be merged firstly, then the two closest points are found out and classified into one type, the central point of the two closest points is taken as a new point to replace the two points, and the new point is taken as a clustering center. Repeating the step b and the step c until a proper classification number is obtained;
we can predefine the different classifications to include: the load of the distribution network is normal, the load of the distribution network is to be observed, or the load of the distribution network is to be warned, and the whole process is as shown in fig. 6.
And 4, step 4: and predicting the load of the low-voltage distribution network based on the operation state data and the different classifications. Clustering the data according to the clustering mode of historical data according to the running state data of the low-voltage distribution network to obtain a clustering result; the current clustering matching result of the low-voltage distribution load can be realized, for example, the current clustering matching result belongs to one of normal condition, observation condition and alarm condition, and the prediction is finished.
The invention also provides a device for intelligently adjusting and predicting the unbalanced load of the power distribution network, which comprises the following components: the state data receiving module is used for receiving the running state data of the dynamic compensation equipment, the intelligent phase change equipment and the intelligent instrument in the low-voltage distribution network; the running state data is sent through a network layer protocol;
the calculating module is used for calculating the unbalance degree of three-phase power utilization in the low-voltage distribution network;
the load adjustment and clustering prediction module: the three-phase load is adjusted according to the unbalance degree, and the quality of electric energy output by three phases is improved; or extracting historical data of the running state of the low-voltage distribution network, and performing cluster analysis on the running state data to form different classifications; and the load of the low-voltage distribution network can be predicted based on the operating state data and the different classifications.
The present apparatus and the method embodiments are in one-to-one correspondence, and therefore, the beneficial effects that can be achieved by the present apparatus and the method embodiments can refer to the beneficial effects in the corresponding methods provided above, and are not described herein again.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical functional division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another device, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, that is, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present invention may be essentially or partially contributed to by the prior art, or all or part of the technical solution may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions within the technical scope of the present invention are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (8)
1. A method for intelligently adjusting and predicting unbalanced load of a power distribution network is applied to monitoring equipment of a cloud monitoring layer, and comprises the following steps:
step 1: receiving running state data of dynamic compensation equipment, intelligent phase change equipment and an intelligent instrument in a low-voltage distribution network; the running state data is sent through a network layer protocol;
step 2: calculating the unbalance degree of three-phase power utilization in the low-voltage distribution network;
and step 3: adjusting three-phase load according to the unbalance degree, and improving the quality of electric energy output by three phases; or extracting historical data of the running state of the low-voltage distribution network, and performing cluster analysis on the running state data to form different classifications; and the load of the low-voltage distribution network can be predicted based on the operating state data and the different classifications.
2. The method of claim 1, wherein the monitoring device of the cloud monitoring layer comprises: the system comprises a monitoring master station and an intelligent terminal; the dynamic compensation device uses a three-level half-bridge module.
3. The method of intelligent regulation and prediction of unbalanced loads on an electrical distribution network of claim 1, wherein the degree of imbalance comprises:
in the formula of alphaiRepresenting the degree of unbalance, I, of the I-th phase of the three phases a, b and cmiIs the maximum current value in phase i; i isavThe average value of the three-phase power is.
4. The method of intelligent regulation and prediction of unbalanced loads on an electrical distribution network of claim 1, wherein adjusting three-phase loads based on the degree of imbalance comprises: when the three-phase unbalance rate exceeds a set numerical value, controlling the switching state in the terminal wheel inspection platform area, and performing phase change control on the appointed phase change switch through the control terminal according to the running condition of the phase change switch; and then, sending a coordination compensation instruction to the dynamic compensation equipment according to the adjusted unbalance rate, and adjusting the distribution transformer output current according to the capacity.
5. The method of claim 4, wherein the phase-shifting control of the designated phase-shifting switch by the control terminal comprises shifting heavy-duty phase loads to light-duty phases to achieve a wide-range of load distribution in the line.
6. The method of claim 1, wherein extracting historical data of the operating conditions of the low voltage distribution network, performing cluster analysis on the operating condition data, and forming different classifications comprises: a. extracting historical data, wherein the historical data comprises a plurality of characteristic data of the load of the low-voltage distribution network; taking each of the plurality of feature data as a clustering center, and traversing and calculating the distance between any two clustering centers; b. selecting two nearest clustering centers, and merging the two nearest clustering centers; c. and d, detecting the number of the clustering centers, and if the number of the clustering centers is larger than the preset number of data categories, repeating the step b and the step c until the number of the clustering centers is equal to the preset number of data categories, so as to obtain the categories required by data classification.
7. The method of intelligent regulation and prediction of unbalanced loads on an electrical distribution network of claim 6, wherein the operational state data comprises phase sequence, amplitude, phase, rate of change of imbalance and historical number of switching and rate of compensation of equipment; the different classifications include: the load of the power distribution network is normal, the load of the power distribution network is to be observed, or the load of the power distribution network is an alarm.
8. An intelligent regulation and prediction device for unbalanced load of a power distribution network is characterized in that,
the state data receiving module is used for receiving the running state data of the dynamic compensation equipment, the intelligent phase change equipment and the intelligent instrument in the low-voltage distribution network; the running state data is sent through a network layer protocol;
the calculating module is used for calculating the unbalance degree of three-phase power utilization in the low-voltage distribution network;
the load adjustment and clustering prediction module: the three-phase load is adjusted according to the unbalance degree, and the quality of electric energy output by three phases is improved; or extracting historical data of the running state of the low-voltage distribution network, and performing cluster analysis on the running state data to form different classifications; and the load of the low-voltage distribution network can be predicted based on the operating state data and the different classifications.
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| CN114844214A (en) * | 2022-05-18 | 2022-08-02 | 国电南瑞南京控制系统有限公司 | Farm irrigation load management and control system and method based on platform area intelligent fusion terminal |
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| CN114844214A (en) * | 2022-05-18 | 2022-08-02 | 国电南瑞南京控制系统有限公司 | Farm irrigation load management and control system and method based on platform area intelligent fusion terminal |
| CN114844214B (en) * | 2022-05-18 | 2024-05-14 | 国电南瑞南京控制系统有限公司 | Agricultural irrigation load management and control system and control method based on intelligent transformer area fusion terminal |
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