CN115632487B - Smart park electric power coordination control method and system - Google Patents
Smart park electric power coordination control method and system Download PDFInfo
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- CN115632487B CN115632487B CN202211618915.XA CN202211618915A CN115632487B CN 115632487 B CN115632487 B CN 115632487B CN 202211618915 A CN202211618915 A CN 202211618915A CN 115632487 B CN115632487 B CN 115632487B
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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
- H02J13/00001—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]
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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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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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
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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Abstract
The invention discloses a power coordination control method and system for an intelligent park, and relates to the technical field of control and regulation, wherein the method comprises the following steps: acquiring power equipment information of the intelligent park according to the power equipment management system; analyzing the working parameters of each power device to obtain working voltage information, transmission mode information and current power information, and performing classifier training as a characteristic level to obtain a device classifier; obtaining a first equipment set and a second equipment set; equipment combination is carried out, and a control unit set is generated; the method comprises the steps of controlling a set of units to obtain power operation data; and generating a coordination control parameter according to the electric power operation data, and realizing coordination control on the electric power equipment of the intelligent park. The intelligent park power control system solves the technical problems that the intelligent park power operation control is unstable and the coordination degree of power control is low in the prior art, and achieves the technical effects of safe and reliable power supply and improvement of operation economy.
Description
Technical Field
The invention relates to the technical field of control and regulation, in particular to a power coordination control method and system for an intelligent park.
Background
Wisdom energy is leading energy upgrading and industry transformation gradually, and a clean low-carbon energy supply network is constructed by establishing a multi-type energy interconnection network taking an electric power system as a core and modifying the energy industry by using emerging scientific technology.
At present, the energy supply of a smart park by horizontal multi-source complementation of electricity, heat, cold, gas and water is realized by constructing a multi-type energy interconnection network, but all business systems are still mutually independent, and the interconnection degree among different systems is not enough. Therefore, when the power supply is actually applied to the smart park, the switching between different power supply units is unstable. The feedback time for adjusting the electric energy supply is long when the unstable electric load is responded, the response speed is slow in time, and the result that the user experience is poor is caused. Wisdom garden electric power operation control is unstable among the prior art, and electric power control coordination degree is low technical problem.
Disclosure of Invention
The application provides a smart park electric power coordination control method and system, which are used for solving the technical problems that in the prior art, the smart park electric power operation control is unstable, and the electric power control coordination degree is low.
In view of the above problems, the present application provides a method and a system for power coordination control of an intelligent park.
In a first aspect of the present application, a method for power coordination control of a smart park is provided, where the method is applied to a power coordination control system of the smart park, the power coordination control system is in communication connection with a power equipment management system, and the method includes:
acquiring power equipment information of the intelligent park according to the power equipment management system;
analyzing working parameters of each power device based on the power device information to obtain working voltage information, transmission mode information and current power information;
performing classifier training by taking the working voltage information, the transmission mode information and the current power information as characteristic levels to obtain an equipment classifier;
obtaining a first equipment set and a second equipment set according to the equipment classifier;
performing equipment combination on the first equipment set and the second equipment set to generate a control unit set, wherein each control unit in the control unit set comprises at least one first-type sub-equipment and at least one second-type sub-equipment;
acquiring power operation data by the control unit set;
and generating a coordination control parameter according to the electric power operation data, and realizing coordination control on the electric power equipment of the intelligent park.
In a second aspect of the present application, there is provided a power coordination control system for a smart park, the system comprising:
the equipment information acquisition module is used for acquiring the electrical equipment information of the intelligent park according to the electrical equipment management system;
the working parameter analysis module is used for carrying out working parameter analysis on each electric power device based on the electric power device information to obtain working voltage information, transmission mode information and current power information;
the device classifier obtaining module is used for performing classifier training by taking the working voltage information, the transmission mode information and the current power information as characteristic levels to obtain a device classifier;
the device set obtaining module is used for obtaining a first device set and a second device set according to the device classifier;
a unit set obtaining module, configured to perform device combination on the first type device set and the second type device set to generate a control unit set, where each control unit in the control unit set includes at least one first type sub device and at least one second type sub device;
the operation data acquisition module is used for acquiring power operation data by the control unit set;
and the equipment coordination control module is used for generating coordination control parameters according to the power operation data and realizing coordination control on the power equipment of the intelligent park.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method, the power equipment information of the intelligent park is obtained according to a power equipment management system, then working parameter analysis is carried out on each power equipment based on the power equipment information, working voltage information, transmission mode information and current power information are obtained, then a classifier is trained by taking the working voltage information, the transmission mode information and the current power information as characteristic levels, an equipment classifier is obtained, then a first equipment set and a second equipment set are obtained according to the equipment classifier, equipment combination is carried out on the first equipment set and the second equipment set, a control unit set is generated, wherein each control unit in the control unit set comprises at least one first sub-equipment and at least one second sub-equipment, then power operation data are obtained according to the control unit set, and then coordination control parameters are generated according to the power operation data and are used for achieving coordination control on the power equipment of the intelligent park. The power supply that carries on stability to the wisdom garden has been reached, improves the scheduling of coordinating of power supply, improves the technological effect of power supply quality.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart illustrating a power coordination control method for an intelligent park according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart illustrating a procedure of acquiring combination adjustment information for device combination in a power coordination control method for an intelligent park according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart illustrating a process of generating coordination control parameters in a power coordination control method for an intelligent park according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an intelligent park power coordination control system according to an embodiment of the present disclosure.
Description of the reference numerals: the system comprises an equipment information obtaining module 11, a working parameter analyzing module 12, an equipment classifier obtaining module 13, an equipment set obtaining module 14, a unit set obtaining module 15, an operation data obtaining module 16 and an equipment coordination control module 17.
Detailed Description
The application provides a wisdom garden electric power coordinated control method for to solving among the prior art wisdom garden electric power operation control unstability, technical problem that electric power control coordination cooperation degree is low.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements explicitly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example one
As shown in fig. 1, the present application provides a power coordination control method for a smart park, where the method is applied to a power coordination control system of the smart park, and the coordination control system is communicatively connected to a power equipment management system, and the method includes:
step S100: acquiring power equipment information of the intelligent park according to the power equipment management system;
specifically, the cooperative control system is a system for stably and balancedly controlling the power supply condition in the smart park and ensuring stable power supply. The electrical equipment management system is used for conducting real-time management and control on electrical equipment in the intelligent park and coordinating management. The power equipment management system collects the power equipment conditions in the park, preferably collects the equipment information mainly from the energy supply angle and the energy utilization angle, and obtains the power equipment information. The power equipment information refers to basic information reflecting the power supply or use condition of the power equipment, and includes information such as the name of the power equipment, the system to which the power equipment belongs, and basic power parameters. Illustratively, the information of power supply equipment in a high and new technology industrial park is collected, the power supply equipment in the park mainly comprises photovoltaic equipment, air/ground source heat pumps, power grid supply equipment, charging piles and the like, and the electric equipment mainly comprises park lighting equipment, monitoring equipment, park factory processing equipment and the like. And collecting basic power information of each device, wherein the basic power information comprises main technical parameters of the photovoltaic device, such as rated working voltage, maximum charging current, no-load loss and the like. From this, reached and carried out information acquisition to the power equipment in the wisdom garden, mastered the garden and carried out the object that electric power coordinated, do the technological effect of foreshadowing for follow-up carrying out the electric power adjustment.
Step S200: analyzing working parameters of each power device based on the power device information to obtain working voltage information, transmission mode information and current power information;
specifically, the essence of coordinating the adjustment of the power devices in the park is to adjust the specific operating parameters of each power device, thereby changing the power parameters and achieving the purpose of adjusting the power supply condition of the overall system. And further, extracting and analyzing the operating parameters of each power device according to the power device information to obtain the operating voltage information, the transmission mode information and the current power information of each power device. The working voltage information reflects the requirements of each device on voltage during working, including rated working voltage, maximum voltage and the like. The transmission method information is a request of each power equipment for a power transmission method, and includes direct current power transmission and alternating current power transmission. The current power information refers to the operation power information of each power device, and includes information such as rated working current, rated capacity, rated working power and the like. Furthermore, the operating parameters of each power device are subjected to multi-dimensional acquisition, so that the operating requirements of each power device are mastered, the basic power supply condition of each power device is accurately mastered, the technical effects of providing classification bases for subsequent device classification and ensuring coordinated operation of power control are achieved.
Step S300: performing classifier training by taking the working voltage information, the transmission mode information and the current power information as characteristic levels to obtain an equipment classifier;
specifically, the power equipment is classified according to the obtained operating voltage information, the obtained transmission mode information and the obtained current power information as classification features, so that different equipment types are obtained. Wherein the device types include a strong current device and a weak current device. The strong current equipment is mainly used as power energy and comprises lighting, a socket and the like, and the weak current equipment is used for information transmission and comprises a router, monitoring security equipment and the like. The device classifier is a device for classifying the power devices according to the feature levels.
Preferably, the classifier is trained by acquiring working voltage information, transmission mode information and current power information of a plurality of pieces of power equipment and types of the power equipment, the types of the power equipment are identified, and the results output by the classifier are supervised by the identified types of the power equipment until the output results of the classifier reach convergence, so that the equipment classifier is obtained. Therefore, the technical effects of obtaining the device classifier for efficiently and accurately classifying the types of the electrical equipment and improving the device classification efficiency are achieved.
Step S400: obtaining a first equipment set and a second equipment set according to the equipment classifier;
specifically, according to the device classifier, the operating voltage information, the transmission mode information and the current power information of each power device are input into the device classifier, so that a classification result of each device is obtained, wherein the classification result includes the first-class device set and the second-class device set. The first equipment set is a weak current equipment set with low power consumption, low current and low power, and comprises monitoring equipment, park intercom equipment and the like. The second type of device set is a high-voltage, high-current device set transmitted by a power transmission circuit, and includes power installation devices, lighting devices, power supply devices in a power distribution room, and the like. Through according to equipment classifier is right electrical equipment in the wisdom garden carries out forceful electric power and light current classification, for follow-up electric power coordinated supply, does the foreshadowing according to equipment nature adjustment power supply combination.
Step S500: performing equipment combination on the first type equipment set and the second type equipment set to generate a control unit set, wherein each control unit in the control unit set comprises at least one first type sub-equipment and at least one second type sub-equipment;
further, as shown in fig. 2, step S500 in the embodiment of the present application further includes:
step S510: acquiring a unit working parameter set based on the control unit set, wherein the unit working parameter set corresponds to the control unit set one by one;
step S520: respectively detecting the horizontal stability of each unit according to the unit working parameter set to obtain a stability coefficient set;
step S530: acquiring combination adjustment information for equipment combination according to the stability coefficient set;
step S540: and adjusting the control unit set according to the combined adjustment information.
Further, the step S530 in this embodiment of the present application further includes, according to the stability coefficient set, acquiring combination adjustment information for device combination:
step S531: acquiring P stability coefficients smaller than a preset stability coefficient by the stability coefficient set, wherein P is a positive integer greater than or equal to 0;
step S532: obtaining P corresponding control units according to the P stability coefficients;
step S533: taking the first type of equipment in the P control units as a positive vector and the second type of equipment as a negative vector to perform vector calculation to obtain a vector calculation result;
step S534: and acquiring the combined adjustment information according to the vector calculation result.
Further, step S530 in the embodiment of the present application further includes:
step S535: classifying based on the vector calculation result to obtain a positive vector result set and a negative vector result set;
step S536: carrying out vector size similarity analysis on the positive vector result set and the negative vector result set, and establishing a vector exchange mapping model according to a vector size similarity relation;
step S537: and acquiring the combined adjustment information based on the vector transposition mapping model.
Furthermore, the combined adjustment information includes a switching unit, a target switching unit, and a switched device in the switching unit and a switched device in the target switching unit, and the switched device in the switching unit and the switched device in the target switching unit belong to the same type of device.
Specifically, the first-class device set and the second-class device set are subjected to device random combination, preferably, the number of the first-class devices and the second-class devices in each unit is random, each control unit comprises at least one first-class sub-device and at least one second-class sub-device as a constraint condition, and the random combination process of the devices is constrained, so that the control unit set is obtained. The control unit set is a plurality of control units obtained by combining equipment, and the equipment in the units is cooperatively powered. And collecting the equipment working parameters in the control unit set to obtain the corresponding unit working parameter set. The set of unit working parameters comprises working parameters corresponding to equipment in the unit, and the working parameters comprise rated voltage, rated current, rated power, real-time output power, real-time frequency and the like.
Specifically, according to the operation working parameters of the first type equipment and the second type equipment in each unit in the unit working parameter set, the fluctuation conditions of the voltage, the current, the power and the frequency of equipment operation in the unit operation process are analyzed, so that the horizontal stability coefficients of each unit are obtained, and the stability coefficient set is formed. And the stability coefficient set reflects the operation coordination condition of each unit in the actual operation process. Preferably, the maximum value and the minimum value of the parameters of the equipment in each unit occurring within a period of time are obtained according to the operating working parameters, and the stability of the working parameters of the equipment is evaluated by comparing whether the absolute value between the maximum value and the minimum value of the parameters exceeds a preset difference range.
Specifically, the preset stability coefficient refers to a stability coefficient with a preset fluctuation range meeting requirements, and is set by a worker, which is not limited herein. And then, traversing coefficient screening is carried out on the stability coefficient set, each system in the set is compared with the preset stability coefficient, and P stability coefficients smaller than the preset stability coefficient are obtained. The P stability coefficients refer to coefficients corresponding to the unit, wherein the unit stability cannot meet requirements, and the phenomenon of incongruity of supply and output between strong current and weak current exists. And further, P control units corresponding to the P stability coefficients are obtained, and a unit adjustment object is obtained.
Specifically, positive vector identification is carried out on first-class equipment and negative vector identification is carried out on second-class equipment in the P control units, and the first-class equipment and the second-class equipment are distinguished. Further, vector calculation is performed on the devices in the P control units according to the identification result, and preferably, the number of devices identified with negative vectors is subtracted from the number of devices identified with positive vectors, thereby obtaining the vector calculation result. And classifying vector calculation results in the P control units, taking the calculation result of which the vector is calculated to be positive as a positive vector result set to indicate that the proportion of first-class equipment in the control units in the positive vector result set is larger, and taking the calculation result of which the vector is calculated to be negative as a negative vector result set to indicate that the proportion of second-class equipment in the control units in the negative vector result set is larger.
Specifically, the vector size in the positive vector result set and the vector size in the negative vector result set are used as a classification basis, the similarity degree of the absolute values of the vectors is used as a standard to perform size similarity clustering, and then the clustering result is input into the vector exchange mapping model to obtain a vector exchange result. The vector exchange mapping model is a functional model for determining the vector exchange result according to the similarity degree of the vectors and the direction of the vectors. By obtaining a historical positive vector result set and a historical negative vector result set, and corresponding historical swap results as a historical data set. The historical data set is divided into a training data set and a validation data set. Preferably, the division ratio is 2. And training the convolutional neural network by using a training data set until the convolutional neural network is converged to obtain the vector exchange mapping model. And then, carrying out accuracy verification on the vector exchange mapping model by using a verification data set, and obtaining the vector exchange mapping model when the accuracy of an output result meets requirements. And when the accuracy of the output result cannot meet the requirement, performing incremental learning on the model until the accuracy meets the requirement.
And then, inputting the similarity relation of the vector sizes into the vector exchange mapping model to obtain corresponding combined adjustment information. The combined adjustment information refers to exchange information for exchanging equipment for a control unit with similar instability degree, and comprises an exchange unit, a target exchange unit, exchanged equipment in the exchange unit and exchanged equipment of the target exchange unit. The target exchanging unit is a unit which is close to the vector calculation result of the exchanging unit in size but opposite in direction. Meanwhile, the exchanged equipment in the exchange unit and the exchanged equipment of the target exchange unit belong to the same type of equipment, so that the condition that the overall power supply is not influenced by equipment exchange is ensured, and only the stability condition of power supply is adjusted and optimized. And then, the running condition of the unit is adjusted according to the combined adjusting information, so that the technical effect of optimizing and coordinating the electric power of the intelligent park is achieved.
Step S600: acquiring power operation data by the control unit set;
specifically, electric power operation conditions in the intelligent park are collected according to the control unit set, and the electric power operation data are obtained. Wherein the power operation data includes real-time voltage, real-time current, real-time operating frequency, and power. From this, reached and gathered the power supply condition in wisdom garden, provide the technological effect of analysis data for follow-up analysis power supply's coordination.
Step S700: and generating a coordination control parameter according to the electric power operation data, and realizing coordination control on the electric power equipment of the intelligent park.
Further, as shown in fig. 3, the generating a coordination control parameter according to the electric power operation data further includes:
step S710: acquiring power loss data according to the power operation data;
step S720: performing loss anomaly identification on the power loss data to obtain abnormal loss data;
step S730: and carrying out abnormal unit positioning on the abnormal loss data, and generating the coordination control parameter based on the abnormal unit positioning result to carry out equipment optimization control.
Further, step S720 in the embodiment of the present application further includes:
step S721: acquiring the power supply mode of the intelligent park according to the power equipment management system;
step S722: acquiring a corresponding power conversion loss rate according to the power supply mode;
step S723: and performing loss abnormity identification on the power loss data according to the power conversion loss rate, and outputting the abnormal loss data.
Specifically, according to the power operation data, power loss conditions are collected from three dimensions of variable loss, fixed loss and management loss, and the power loss data are obtained. Wherein the variable loss refers to an amount of power consumed on a power line and a power transformer resistor. The stationary loss is an insulation dielectric loss occurring in a power supply system in a power cable, a capacitor, or the like. And the management loss is obtained by deducting the variable loss and the fixed loss from the line loss obtained by calculating the difference value between the power supply quantity and the power consumption quantity. And performing weighted calculation on the variable loss, the fixed loss and the management loss according to a certain loss weight distribution result to obtain the power loss data. Preferably, the weight proportion condition is set by a worker, and is not limited herein.
Specifically, according to the power equipment management system is to the electric power supply mode of wisdom garden gathers, and the electric power source and the electric power transmission mode of garden gather promptly. The method comprises the conditions of high-low voltage conversion, photovoltaic power generation conversion rate, power storage mode and the like. And further, calculating theoretical power conversion loss conditions in the power transmission process according to the power supply mode to obtain the power conversion loss rate. Wherein, the power conversion loss rate reflects the fixed loss condition of power conversion determined according to the energy supply mode of the intelligent park. And judging the power loss data according to the power conversion loss rate, when the power loss data exceeds the power conversion loss rate, indicating that the power loss situation is abnormal, and correspondingly taking the data which does not meet the power conversion loss rate as the abnormal loss data. Due to the one-to-one correspondence relationship between the data and the units, the abnormal units can be positioned according to the abnormal loss data, the continuation that the loss exceeds the allowable range is obtained, the abnormal units are further analyzed, and the coordination control parameters are obtained according to the abnormal conditions. And the coordination control parameter is a parameter for adjusting the running of the unit equipment with abnormal power loss. From this, reached and carried out feedback adjustment to the electric power operation condition in wisdom garden, improved power supply quality's technological effect.
In summary, the embodiment of the present application has at least the following technical effects:
according to the method, the power equipment information of the intelligent park is obtained according to a power equipment management system in the intelligent park, information collection of equipment in the park is achieved, the purpose of providing a target for follow-up coordination control is achieved, then the working parameters of each power equipment in the park are analyzed according to the power equipment information, the working voltage information, the transmission mode information and the current power information of the equipment are obtained after analysis, then the classifier is trained by taking the information as a training characteristic level, an equipment classifier is obtained, then the power supply properties of the equipment in the park are divided according to the equipment classifier, a first equipment set, namely a weak current equipment set, and a second equipment set, namely a strong current equipment set are obtained, then random equipment combination is carried out on the first equipment set and the second equipment set, a control unit set is obtained, wherein each control unit in the control unit set comprises at least one first class of sub-equipment and one second class of sub-equipment, the power operation condition in the intelligent park is collected according to the operation condition of the control unit set, the control parameters of the intelligent park are obtained according to the collected power operation coordination data, and the control parameters of the intelligent park are carried out on the control of the intelligent park. The technical effects of improving the stability of power supply and improving the quality of power supply are achieved.
Example two
Based on the same inventive concept as the intelligent park electric power coordination control method in the previous embodiment, as shown in fig. 4, the present application provides an intelligent park electric power coordination control system, and the system and method embodiments in the present application are based on the same inventive concept. Wherein the system comprises:
the equipment information obtaining module 11 is used for obtaining the electrical equipment information of the intelligent park according to the electrical equipment management system;
the working parameter analysis module 12 is configured to perform working parameter analysis on each piece of electrical equipment based on the electrical equipment information, and acquire working voltage information, transmission mode information, and current power information;
the device classifier obtaining module 13 is configured to perform classifier training by using the working voltage information, the transmission mode information, and the current power information as feature levels to obtain a device classifier;
an equipment set obtaining module 14, where the equipment set obtaining module 14 is configured to obtain a first equipment set and a second equipment set according to the equipment classifier;
a unit set obtaining module 15, where the unit set obtaining module 15 is configured to perform device combination on the first type device set and the second type device set to generate a control unit set, where each control unit in the control unit set includes at least one first type sub device and at least one second type sub device;
the operation data obtaining module 16, where the operation data obtaining module 16 is configured to obtain electric power operation data by using the control unit set;
and the equipment coordination control module 17 is used for generating coordination control parameters according to the power operation data, and is used for realizing coordination control on the power equipment of the intelligent park.
Further, the system further comprises:
a working parameter set obtaining unit, configured to obtain a unit working parameter set based on the control unit set, where the unit working parameter set corresponds to the control unit set one by one;
the stability coefficient acquisition unit is used for respectively detecting the horizontal stability of each unit according to the unit working parameter set to obtain a stability coefficient set;
a combination adjustment information obtaining unit, configured to obtain combination adjustment information for device combination according to the stability coefficient set;
and the unit adjusting unit is used for adjusting the control unit set according to the combined adjusting information.
Further, the system further comprises:
a stability coefficient obtaining unit, configured to obtain P stability coefficients smaller than a preset stability coefficient by aggregating the stability coefficients, where P is a positive integer greater than or equal to 0;
the control unit obtaining unit is used for obtaining P corresponding control units according to the P stability coefficients;
the vector calculation result obtaining unit is used for performing vector calculation by taking the first equipment in the P control units as a positive vector and the second equipment as a negative vector to obtain a vector calculation result;
an adjustment information obtaining unit configured to obtain the combination adjustment information according to the vector calculation result.
Further, the system further comprises:
the vector calculation result classification unit is used for classifying based on the vector calculation result to obtain a positive vector result set and a negative vector result set;
the mapping model establishing unit is used for carrying out vector size similarity analysis on the positive vector result set and the negative vector result set and establishing a vector exchange mapping model according to a vector size similarity relation;
a combination information acquisition unit configured to acquire the combination adjustment information based on the vector swap mapping model.
Furthermore, the combined adjustment information includes a change unit, a target change unit, and a changed device in the change unit and a changed device in the target change unit, and the changed device in the change unit and the changed device in the target change unit belong to the same type of device.
Further, the system further comprises:
a loss data obtaining unit configured to obtain power loss data according to the power operation data;
an abnormal loss data obtaining unit configured to obtain abnormal loss data by performing loss abnormality recognition on the power loss data;
and the abnormal unit positioning unit is used for positioning the abnormal unit according to the abnormal loss data and generating the coordination control parameter based on the abnormal unit positioning result to perform equipment optimization control.
Further, the system further comprises:
the power supply mode obtaining unit is used for obtaining the power supply mode of the intelligent park according to the power equipment management system;
the conversion loss rate obtaining unit is used for obtaining a corresponding power conversion loss rate according to the power supply mode;
an abnormal loss identification unit configured to perform loss abnormal identification on the power loss data at the power conversion loss rate and output the abnormal loss data.
It should be noted that the order of the above embodiments of the present application is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
The specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (6)
1. A power coordination control method for a smart park is applied to a power coordination control system of the smart park, the coordination control system is in communication connection with a power equipment management system, and the method comprises the following steps:
acquiring power equipment information of the intelligent park according to the power equipment management system;
analyzing working parameters of each power device based on the power device information to obtain working voltage information, transmission mode information and current power information;
performing classifier training by taking the working voltage information, the transmission mode information and the current power information as characteristic levels to obtain an equipment classifier;
obtaining a first class device set and a second class device set according to the device classifier, wherein the first class device set is a weak current device set which consumes low voltage, current and power and comprises monitoring equipment and campus intercom equipment, and the second class device set is a strong current device set which has high voltage, is transmitted by a power transmission circuit and has high current and comprises power installation equipment, lighting equipment and power supply equipment in a power distribution room;
performing equipment combination on the first type equipment set and the second type equipment set to generate a control unit set, wherein each control unit in the control unit set comprises at least one first type sub-equipment and at least one second type sub-equipment;
acquiring power operation data by the control unit set;
according to the electric power operation data, generate coordination control parameter for realize to the power equipment of wisdom garden carries out coordination control, wherein according to the electric power operation data, generate coordination control parameter includes: acquiring power loss data according to the power operation data; performing loss anomaly identification on the power loss data to obtain abnormal loss data;
carrying out abnormal unit positioning on the abnormal loss data, generating the coordination control parameter based on the abnormal unit positioning result to carry out equipment optimization control, and further comprising: acquiring the power supply mode of the intelligent park according to the power equipment management system; acquiring a corresponding power conversion loss rate according to the power supply mode; and carrying out loss abnormity identification on the power loss data according to the power conversion loss rate, and outputting the abnormal loss data.
2. The method of claim 1, wherein the method further comprises:
acquiring a unit working parameter set based on the control unit set, wherein the unit working parameter set corresponds to the control unit set one by one;
respectively detecting the horizontal stability of each unit according to the unit working parameter set to obtain a stability coefficient set;
acquiring combination adjustment information for equipment combination according to the stability coefficient set;
and adjusting the control unit set according to the combined adjustment information.
3. The method of claim 2, wherein the obtaining combination adjustment information for device combination according to the stability coefficient set comprises:
acquiring P stability coefficients which are smaller than a preset stability coefficient through the stability coefficient set, wherein P is a positive integer which is larger than or equal to 0;
obtaining P corresponding control units according to the P stability coefficients;
taking the first type of equipment in the P control units as positive vectors and the second type of equipment as negative vectors to perform vector calculation to obtain vector calculation results;
and acquiring the combined adjustment information according to the vector calculation result.
4. The method of claim 3, wherein the method further comprises:
classifying based on the vector calculation result to obtain a positive vector result set and a negative vector result set;
carrying out vector size similarity analysis on the positive vector result set and the negative vector result set, and establishing a vector exchange mapping model according to a vector size similarity relation;
and acquiring the combined adjustment information based on the vector transposition mapping model.
5. The method of claim 4, wherein the combined adjustment information includes a change-over unit, a target change-over unit, and a changed device in the change-over unit and a changed device in the target change-over unit, and the changed device in the change-over unit and the changed device in the target change-over unit are devices belonging to the same class.
6. An intelligent park power coordination control system, the system comprising:
the equipment information acquisition module is used for acquiring the electrical equipment information of the intelligent park according to the electrical equipment management system;
the working parameter analysis module is used for carrying out working parameter analysis on each electric power device based on the electric power device information to obtain working voltage information, transmission mode information and current power information;
the device classifier obtaining module is used for performing classifier training by taking the working voltage information, the transmission mode information and the current power information as feature levels to obtain a device classifier;
the equipment set obtaining module is used for obtaining a first equipment set and a second equipment set according to the equipment classifier, wherein the first equipment set is a low-voltage equipment set which consumes low voltage, current and power and comprises monitoring equipment and park intercom equipment, and the second equipment set is a high-voltage high-current equipment set which transmits power by a power transmission circuit and comprises power installation equipment, lighting equipment and power supply equipment in a power distribution room;
a unit set obtaining module, configured to perform device combination on the first type device set and the second type device set, and generate a control unit set, where each control unit in the control unit set includes at least one first type sub device and at least one second type sub device;
the operation data acquisition module is used for acquiring electric power operation data by the control unit set;
the equipment coordination control module is used for generating coordination control parameters according to the power operation data and realizing coordination control on the power equipment of the intelligent park;
a loss data obtaining unit configured to obtain power loss data according to the power operation data;
an abnormal loss data obtaining unit configured to obtain abnormal loss data by performing loss abnormality recognition on the power loss data;
the abnormal unit positioning unit is used for positioning the abnormal unit according to the abnormal loss data and generating the coordination control parameter based on the abnormal unit positioning result to perform equipment optimization control;
the power supply mode obtaining unit is used for obtaining the power supply mode of the intelligent park according to the power equipment management system;
a conversion loss rate obtaining unit, configured to obtain a corresponding power conversion loss rate according to the power supply manner;
an abnormal loss identification unit configured to perform loss abnormal identification on the power loss data at the power conversion loss rate and output the abnormal loss data.
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