CN111506032A - Highway self-adaptive control system and control method thereof - Google Patents

Highway self-adaptive control system and control method thereof Download PDF

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CN111506032A
CN111506032A CN202010371198.XA CN202010371198A CN111506032A CN 111506032 A CN111506032 A CN 111506032A CN 202010371198 A CN202010371198 A CN 202010371198A CN 111506032 A CN111506032 A CN 111506032A
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power
highway
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CN111506032B (en
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赵德玲
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Sichuan Wisdom High Speed Technology Co ltd
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Qingdao Yuelang Construction Technology Co ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41845—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract

The invention relates to a highway self-adaptive control system and a control method thereof, wherein the highway self-adaptive control system comprises the following steps: the system comprises an integrated controller, a distributed controller, monitoring equipment, a centralized control load and an independent load; the centralized controller is in communication connection with the distributed controllers, the centralized controller controls the centralized control load, the distributed controllers control the independent loads, and the monitoring equipment monitors the running state of the highway; the centralized controller is arranged in the interval service station and used for controlling the centralized control load according to the monitoring parameters of the monitoring equipment. The method can perform self-adaptive control in a centralized and distributed combined mode aiming at the load of the highway, and can improve the accuracy of the control of the highway.

Description

Highway self-adaptive control system and control method thereof
Technical Field
The invention belongs to the technical field of highways, and particularly relates to a highway self-adaptive control system and a highway self-adaptive control method.
Background
In the prior art, a plurality of devices such as street lamps and velometers need to be arranged in a highway, the devices are powered by a power grid arranged along the highway at present, and a plurality of power supply control boxes are arranged, the control boxes need to be maintained regularly and have huge local power consumption, although the mileage of the highway is continuously enlarged, the controller which needs to be consumed and the power supplied are also increased, so that the cost of the highway is also increased, and how to control the cost of the highway is an important research direction; with the popularization of the photovoltaic panel, the photovoltaic panel is arranged on the street lamp for supplying power to be applied to a certain extent, how to fully utilize the development of new technology for loads such as street lamps on an expressway, and the like, the photovoltaic device and the like are applied to the expressway and matched with the interval control of the expressway, so that the control cost of the photovoltaic device and the like applied to the expressway is reduced, which is a difficult point of the specific control of the expressway.
Content of application
The invention relates to a highway self-adaptive control system, comprising: the system comprises an integrated controller, a distributed controller, monitoring equipment, a centralized control load and an independent load; the centralized controller is in communication connection with the distributed controllers, the centralized controller controls the centralized control load, the distributed controllers control the independent loads, and the monitoring equipment monitors the running state of the highway; the centralized controller is arranged in the interval service station and used for controlling the centralized control load according to the monitoring parameters of the monitoring equipment.
The highway self-adaptive control system is characterized in that the centralized control load comprises a dynamic display board, and the dynamic display board is used for dynamically displaying at least one of road signs, traffic jam, traffic speed, weather state of an interval highway and service state of an interval service station.
The highway self-adaptive control system is characterized in that the independent load comprises a street lamp and a velometer.
According to the highway self-adaptive control system, the independent loads are provided with the photovoltaic panels and the energy storage batteries, the photovoltaic panels and the energy storage batteries are connected in parallel and then are connected with the independent loads through the inverter circuit, the output side of the inverter circuit is also connected with the power grid, and the inverter circuit and the power grid are connected with the independent loads through the switching circuit; and the centralized controller sends a first control signal to the distributed controllers according to the running state of the interval highway monitored by the monitoring equipment, and the distributed controllers control the corresponding independent loads to act according to the first control signal.
The highway adaptive control system, distributed controller include sampling circuit, power calculation unit, low pass filter, power processing unit, voltage processing unit, current processing unit, PWM processing unit, sampling circuit gathers the instantaneous current and the instantaneous voltage of inverter circuit output, will instantaneous current and instantaneous voltage decompose into active output current and reactive output current, through power calculation unit calculates instantaneous active power and instantaneous reactive power, concrete power processing mode is as follows:
P′O＝idvd+iqvq
Q′O＝idvq-iqvd
after the instantaneous active power and the instantaneous reactive power are calculated, the instantaneous active power and the instantaneous reactive power are transmitted to the low-pass filter, the low-pass filter carries out filtering control through controllable frequency, and the cut-off frequency of the low-pass filter is omegacThe power versus frequency relationship is as follows:
Figure BDA0002477248120000021
Figure BDA0002477248120000022
the power processing unit receives the active power and the reactive power output by the low-pass filter, performs P-f and Q-V droop control, and determines a droop control coefficient mi、ni(ii) a The determination is as follows:
f＝fr-mi*Po
Figure BDA0002477248120000023
wherein, P'OIs instantaneous active power, Q'OFor instantaneous reactive power, idIs the active output current, vdIs the active output voltage; i.e. iqFor reactive output of current, vqIs idleOutputting the voltage; poTo output active power, QoIs the reactive power of the output; omegacIs the off-frequency of the low-pass filter, frIs rated frequency, V, in no-load staterRated voltage m in no-load stateiDroop coefficient, n, for P-f controliThe droop coefficient is controlled by Q-V, and f is the frequency of the inverter circuit;
the power processing unit processes power, obtains a voltage reference value and outputs the voltage reference value to the voltage processing unit, the voltage processing unit obtains a reference current through the voltage reference value and an inverter circuit output voltage and outputs the reference current to the current processing unit, the current processing unit determines an inverter circuit reference output voltage through the current reference value and the current output by the inverter circuit, outputs the inverter circuit reference output voltage to the PWM processing unit, processes the inverter circuit reference output voltage into a PWM signal and outputs the PWM signal to the inverter circuit.
In the highway adaptive control system, the photovoltaic panel and the energy storage battery arranged on the independent load form a combination, and each combination at least comprises a solar battery and a storage battery; for the k-th combination, the required power of the independent load is Ploadk，
Ploadk＝PPVk+PBk
Figure BDA0002477248120000024
Wherein, PPVkPower generated for photovoltaic panels, PBkPower generated for battery ηkIn order to achieve the charge-discharge efficiency of the battery,
Figure BDA0002477248120000025
rated frequency, f, of inverter circuit outputskFor real-time frequency variation of the inverter circuit, mkThe droop coefficient of the P-f control of the power processing unit in the kth independent load, and α the adjustable efficiency proportion controlled by the centralized controller.
The highway is self-adaptiveIn the control system, the output power of the inverter circuit is changed along with the frequency, and the power P 'generated by the frequency change'kComprises the following steps:
Figure BDA0002477248120000031
wherein, Δ fstepβ is the adjustable frequency change proportion controlled by the centralized controller;
ΔPk＝βNL·Δfsk
wherein, βNLIs a linear relation coefficient between the system frequency change and the active power change;
Figure BDA0002477248120000032
Figure BDA0002477248120000033
wherein, f'skFrequency of the current cycle, fskThe frequency of the previous period is, and delta t is the control time interval of the centralized controller; p'kPower of the current cycle, PkThe power of the previous cycle.
The highway self-adaptive control system is characterized in that the centralized controller is communicated with the independent controllers, receives adjustable efficiency proportions and adjustable frequency change proportion values of a plurality of current independent controllers, inputs the adjustable efficiency proportions and the adjustable frequency change proportion values into a data processing platform, receives the weather state and the highway pavement state of the highway in the current section monitored by the monitoring equipment, determines typical values of the adjustable efficiency proportions and the adjustable frequency change proportion values according to the weather state and the highway pavement state of the highway in the section, compares the typical values with the received adjustable efficiency proportions and the received adjustable frequency change proportion values, determines the adjustable efficiency proportion and the adjustable frequency change proportion value transmitted by one of the nearest independent controllers, selects the nearest independent controller as a reference object, and takes the reference object as a reference for other independent controllers, and adjusting the adjustable efficiency proportion and the adjustable frequency change proportion value to perform self-adaptive control on the whole interval highway.
A control method of the adaptive highway control system, comprising the following steps:
monitoring weather states and road surface states of a highway in a current interval by monitoring equipment, and transmitting the monitored data to a data processing platform of the centralized controller;
the data processing platform receives the adjustable efficiency proportion and the adjustable frequency change proportion values of the current multiple independent controllers, carries out typical value processing according to the received monitored data, compares the typical value with the received adjustable efficiency proportion and the received adjustable frequency change proportion values, and searches for the distributed load corresponding to the independent controller closest to the typical value;
and selecting the nearest independent controller as a reference object, and adjusting the adjustable efficiency proportion and the adjustable frequency change proportion value by taking the reference object as a reference by other independent controllers so as to perform self-adaptive control on the whole interval highway.
In the control method, the performing typical value processing according to the received monitored data specifically includes: the method comprises the steps of calculating an average value of monitored data, outputting the average value to a neural network, carrying out self-learning through the neural network, searching whether the historical data has the same value, taking the same value of the historical data as a typical value if the historical data has the same value, obtaining the closest value in the historical data if the historical data does not have the same value, taking the closest value as a reference value, calculating a difference value between the monitoring data corresponding to the reference value and the current monitoring data, carrying out the self-learning of the neural network on the difference value, obtaining a deviation amount of the typical value corresponding to the difference value, and determining the typical value after summing the deviation amount and the reference value.
In order to solve the technical problems: the invention provides a control system for centralized and distributed control on an expressway, which can uniformly coordinate street lamps, speed measurement and the like of the expressway by utilizing self independent control and centralized control, and is beneficial to accurate control while the expressway can utilize new energy. One of the main improvement points of the invention is that the adjustable efficiency proportion and the adjustable frequency change proportion value are set, so that the self-adaptive control of the highway equipment such as a street lamp, a velometer, a display board and the like utilizing new energy can be accurately controlled according to the current running environment of the interval highway, the independent control and the centralized control are combined, the control program of the current highway can be reduced, and each independent load of the highway can quickly respond to the current running requirement; the invention has another improvement that the droop control independent load is utilized to control the load power supply requirement coordinated by the photovoltaic, the battery and the power grid, the self-adaptive illumination of the street lamp according to the operation conditions of the highway such as illumination is met, the speed measurement electric quantity requirement of the speed measurer is met, and the energy is saved. The invention is characterized in that the most approximate value in the historical data is obtained in the neural network, the most approximate value is used as a reference value, the difference value is obtained between the monitoring data corresponding to the reference value and the current monitoring data, the difference value is subjected to self-learning of the neural network, the deviation amount of the typical value corresponding to the difference value is obtained, the deviation amount and the reference value are summed to determine the typical value, and the typical control value of each independent controller is determined.
Drawings
Fig. 1 is a schematic diagram of an adaptive highway control system according to the present invention.
FIG. 2 is a schematic diagram of a distributed controller of the present invention.
Fig. 3 is a schematic diagram of a highway adaptive control method according to the present invention.
FIG. 4 is a diagram illustrating an exemplary value processing method according to the present invention.
Detailed Description
The present application will now be described in further detail with reference to the drawings, it should be noted that the following detailed description is given for illustrative purposes only and is not to be construed as limiting the scope of the present application, as those skilled in the art will be able to make numerous insubstantial modifications and adaptations to the present application based on the above disclosure.
As shown in fig. 1, a schematic diagram of an adaptive control system for a highway according to the present invention includes: the system comprises an integrated controller, a distributed controller, monitoring equipment, a centralized control load and an independent load; the centralized controller is in communication connection with the distributed controllers, the centralized controller controls the centralized control load, the distributed controllers control the independent loads, and the monitoring equipment monitors the running state of the highway; the centralized controller is arranged in the interval service station and used for controlling the centralized control load according to the monitoring parameters of the monitoring equipment.
The highway self-adaptive control system is characterized in that the centralized control load comprises a dynamic display board, and the dynamic display board is used for dynamically displaying at least one of road signs, traffic jam, traffic speed, weather state of an interval highway and service state of an interval service station.
Preferably, the dynamic display board is used as a centralized control load, and is directly controlled by the centralized controller to dynamically display information of the interval expressway determined by the centralized controller, for example, a traffic jam state display is performed, and a traffic speed display lamp is used for increasing a dynamic display function of the dynamic display board, so that more supply electric energy is needed.
The highway self-adaptive control system is characterized in that the independent load comprises a street lamp and a velometer.
Preferably, the street lamp and the velometer are provided with a photovoltaic panel and a battery, the photovoltaic panel is connected with the street lamp through an inverter circuit, and the inverter circuit is controlled according to a distributed controller on an independent load.
According to the highway self-adaptive control system, the independent loads are provided with the photovoltaic panels and the energy storage batteries, the photovoltaic panels and the energy storage batteries are connected in parallel and then are connected with the independent loads through the inverter circuit, the output side of the inverter circuit is also connected with the power grid, and the inverter circuit and the power grid are connected with the independent loads through the switching circuit; and the centralized controller sends a first control signal to the distributed controllers according to the running state of the interval highway monitored by the monitoring equipment, and the distributed controllers control the corresponding independent loads to act according to the first control signal.
Fig. 2 is a schematic diagram of a distributed controller according to the present invention. The highway adaptive control system, distributed controller include sampling circuit, power calculation unit, low pass filter, power processing unit, voltage processing unit, current processing unit, PWM processing unit, sampling circuit gathers the instantaneous current and the instantaneous voltage of inverter circuit output, will instantaneous current and instantaneous voltage decompose into active output current and reactive output current, through power calculation unit calculates instantaneous active power and instantaneous reactive power, concrete power processing mode is as follows:
P′O＝idvd+iqvq
Q′O＝idvq-iqvd
after the instantaneous active power and the instantaneous reactive power are calculated, the instantaneous active power and the instantaneous reactive power are transmitted to the low-pass filter, the low-pass filter carries out filtering control through controllable frequency, and the cut-off frequency of the low-pass filter is omegacThe power versus frequency relationship is as follows:
Figure BDA0002477248120000051
Figure BDA0002477248120000052
the power processing unit receives the active power and the reactive power output by the low-pass filter, performs P-f and Q-V droop control, and determines a droop control coefficient mi、ni(ii) a The determination is as follows:
f＝fr-mi*Po
Figure BDA0002477248120000061
wherein, P'OIs instantaneous active power, Q'OFor instantaneous reactive power, idIs the active output current, vdIs the active output voltage; i.e. iqFor reactive output of current, vqIs a reactive output voltage; poTo output active power, QoIs the reactive power of the output; omegacIs the off-frequency of the low-pass filter, frIs rated frequency, V, in no-load staterRated voltage m in no-load stateiDroop coefficient, n, for P-f controliThe droop coefficient is controlled by Q-V, and f is the frequency of the inverter circuit;
the power processing unit processes power, obtains a voltage reference value and outputs the voltage reference value to the voltage processing unit, the voltage processing unit obtains a reference current through the voltage reference value and an inverter circuit output voltage and outputs the reference current to the current processing unit, the current processing unit determines an inverter circuit reference output voltage through the current reference value and the current output by the inverter circuit, outputs the inverter circuit reference output voltage to the PWM processing unit, processes the inverter circuit reference output voltage into a PWM signal and outputs the PWM signal to the inverter circuit.
In the highway adaptive control system, the photovoltaic panel and the energy storage battery arranged on the independent load form a combination, and each combination at least comprises a solar battery and a storage battery; for the k-th combination, the required power of the independent load is Ploadk，
Ploadk＝PPVk+PBk
Figure BDA0002477248120000062
Wherein, PPVkPower generated for photovoltaic panels, PBkPower generated for battery ηkIn order to achieve the charge-discharge efficiency of the battery,
Figure BDA0002477248120000064
rated frequency, f, of inverter circuit outputskFor real-time frequency variation of the inverter circuit, mkThe droop coefficient of the P-f control of the power processing unit in the kth independent load, and α the adjustable efficiency proportion controlled by the centralized controller.
Preferably, said mkAnd miDenotes the same type of sag factor, mkThe distributed controllers mainly receive reference values sent by the controllers and control the corresponding independent loads according to the reference values;
preferably, the distributed controller performs adaptive adjustment by referring to the parameter given by the centralized controller and combining with the current location information.
In the highway self-adaptive control system, the output power of the inverter circuit changes along with the frequency, so that the power P 'generated by the frequency change'kComprises the following steps:
Figure BDA0002477248120000063
wherein, Δ fstepβ is the adjustable frequency change proportion controlled by the centralized controller;
ΔPk＝βNL·Δfsk
wherein, βNLIs a linear relation coefficient between the system frequency change and the active power change;
Figure BDA0002477248120000071
Figure BDA0002477248120000072
wherein, f'skFrequency of the current cycle, fskAt the frequency of the previous cycle, Δ tIs a control time interval of the centralized controller; p'kPower of the current cycle, PkThe power of the previous cycle.
The highway self-adaptive control system is characterized in that the centralized controller is communicated with the independent controllers, receives adjustable efficiency proportions and adjustable frequency change proportion values of a plurality of current independent controllers, inputs the adjustable efficiency proportions and the adjustable frequency change proportion values into a data processing platform, receives the weather state and the highway pavement state of the highway in the current section monitored by the monitoring equipment, determines typical values of the adjustable efficiency proportions and the adjustable frequency change proportion values according to the weather state and the highway pavement state of the highway in the section, compares the typical values with the received adjustable efficiency proportions and the received adjustable frequency change proportion values, determines the adjustable efficiency proportion and the adjustable frequency change proportion value transmitted by one of the nearest independent controllers, selects the nearest independent controller as a reference object, and takes the reference object as a reference for other independent controllers, and adjusting the adjustable efficiency proportion and the adjustable frequency change proportion value to perform self-adaptive control on the whole interval highway.
As shown in fig. 3, a control method of an adaptive highway control system according to any one of the above embodiments of the present invention includes the following steps:
monitoring weather states and road surface states of a highway in a current interval by monitoring equipment, and transmitting the monitored data to a data processing platform of the centralized controller;
the data processing platform receives the adjustable efficiency proportion and the adjustable frequency change proportion values of the current multiple independent controllers, carries out typical value processing according to the received monitored data, compares the typical value with the received adjustable efficiency proportion and the received adjustable frequency change proportion values, and searches for the distributed load corresponding to the independent controller closest to the typical value;
and selecting the nearest independent controller as a reference object, and adjusting the adjustable efficiency proportion and the adjustable frequency change proportion value by taking the reference object as a reference by other independent controllers so as to perform self-adaptive control on the whole interval highway.
Fig. 4 is a schematic diagram of an exemplary value processing method according to the present invention. In the control method, the performing typical value processing according to the received monitored data specifically includes: the method comprises the steps of calculating an average value of monitored data, outputting the average value to a neural network, carrying out self-learning through the neural network, searching whether the historical data has the same value, taking the same value of the historical data as a typical value if the historical data has the same value, obtaining the closest value in the historical data if the historical data does not have the same value, taking the closest value as a reference value, calculating a difference value between the monitoring data corresponding to the reference value and the current monitoring data, carrying out the self-learning of the neural network on the difference value, obtaining a deviation amount of the typical value corresponding to the difference value, and determining the typical value after summing the deviation amount and the reference value.
The invention provides a control system for centralized and distributed control on an expressway, which can uniformly coordinate street lamps, speed measurement and the like of the expressway by utilizing self independent control and centralized control, and is beneficial to accurate control while the expressway can utilize new energy. One of the main improvement points of the invention is that the adjustable efficiency proportion and the adjustable frequency change proportion value are set, so that the self-adaptive control of the highway equipment such as a street lamp, a velometer, a display board and the like utilizing new energy can be accurately controlled according to the current running environment of the interval highway, the independent control and the centralized control are combined, the control program of the current highway can be reduced, and each independent load of the highway can quickly respond to the current running requirement; the invention has another improvement that the droop control independent load is utilized to control the load power supply requirement coordinated by the photovoltaic, the battery and the power grid, the self-adaptive illumination of the street lamp according to the operation conditions of the highway such as illumination is met, the speed measurement electric quantity requirement of the speed measurer is met, and the energy is saved. The invention is characterized in that the most approximate value in the historical data is obtained in the neural network, the most approximate value is used as a reference value, the difference value is obtained between the monitoring data corresponding to the reference value and the current monitoring data, the difference value is subjected to self-learning of the neural network, the deviation amount of the typical value corresponding to the difference value is obtained, the deviation amount and the reference value are summed to determine the typical value, and the typical control value of each independent controller is determined.

Claims (10)

1. A highway adaptive control system, comprising: the system comprises an integrated controller, a distributed controller, monitoring equipment, a centralized control load and an independent load; the centralized controller is in communication connection with the distributed controllers, the centralized controller controls the centralized control load, the distributed controllers control the independent loads, and the monitoring equipment monitors the running state of the highway; the centralized controller is arranged in the interval service station and used for controlling the centralized control load according to the monitoring parameters of the monitoring equipment.
2. The adaptive highway control system of claim 1 wherein the centralized control load comprises a dynamic display panel for dynamically displaying at least one of road signs, traffic congestion, traffic speed, weather conditions for inter-zone highways, service conditions for inter-zone service stations.
3. The adaptive highway control system of claim 2 wherein the independent loads comprise street lamps, speed meters.
4. The adaptive highway control system according to claim 3, wherein the independent loads are provided with photovoltaic panels and energy storage batteries, the photovoltaic panels and the energy storage batteries are connected in parallel and then connected with the independent loads through an inverter circuit, the output side of the inverter circuit is further connected with a power grid, and the inverter circuit and the power grid are connected with the independent loads through a switching circuit; and the centralized controller sends a first control signal to the distributed controllers according to the running state of the interval highway monitored by the monitoring equipment, and the distributed controllers control the corresponding independent loads to act according to the first control signal.
5. The adaptive highway control system according to claim 4, wherein the distributed controller comprises a sampling circuit, a power calculation unit, a low-pass filter, a power processing unit, a voltage processing unit, a current processing unit and a PWM processing unit, the sampling circuit collects instantaneous current and instantaneous voltage output by the inverter circuit, the instantaneous current and instantaneous voltage are decomposed into active output current and reactive output current, and instantaneous active power and instantaneous reactive power are calculated by the power calculation unit in the following specific power processing modes:
P′O＝idvd+iqvq
Q′O＝idvq-iqvd
after the instantaneous active power and the instantaneous reactive power are calculated, the instantaneous active power and the instantaneous reactive power are transmitted to the low-pass filter, the low-pass filter carries out filtering control through controllable frequency, and the cut-off frequency of the low-pass filter is omegacThe power versus frequency relationship is as follows:
Figure FDA0002477248110000011
Figure FDA0002477248110000012
the power processing unit receives the active power and the reactive power output by the low-pass filter, performs P-f and Q-V droop control, and determines a droop control coefficient mi、ni(ii) a The determination is as follows:
f＝fr-mi*Po
Figure FDA0002477248110000021
wherein, P'OIs instantaneous active power, Q'OFor instantaneous reactive power, idFor active power transmissionCurrent output, vdIs the active output voltage; i.e. iqFor reactive output of current, vqIs a reactive output voltage; poTo output active power, QoIs the reactive power of the output; omegacIs the off-frequency of the low-pass filter, frIs rated frequency, V, in no-load staterRated voltage m in no-load stateiDroop coefficient, n, for P-f controliThe droop coefficient is controlled by Q-V, and f is the frequency of the inverter circuit;
the power processing unit processes power, obtains a voltage reference value and outputs the voltage reference value to the voltage processing unit, the voltage processing unit obtains a reference current through the voltage reference value and an inverter circuit output voltage and outputs the reference current to the current processing unit, the current processing unit determines an inverter circuit reference output voltage through the current reference value and the current output by the inverter circuit, outputs the inverter circuit reference output voltage to the PWM processing unit, processes the inverter circuit reference output voltage into a PWM signal and outputs the PWM signal to the inverter circuit.
6. The adaptive highway control system according to claim 5, wherein the photovoltaic panels and the energy storage batteries arranged on the independent loads form combinations, each combination comprises at least one solar cell and at least one storage battery; for the k-th combination, the required power of the independent load is Ploadk，
Ploadk＝PPVk+PBk
Figure FDA0002477248110000022
Wherein, PPVkPower generated for photovoltaic panels, PBkPower generated for battery ηkIn order to achieve the charge-discharge efficiency of the battery,
Figure FDA0002477248110000026
rated frequency, f, of inverter circuit outputskFor real-time frequency variation of inverter circuitTransformation, mkThe droop coefficient of the P-f control of the power processing unit in the kth independent load, and α the adjustable efficiency proportion controlled by the centralized controller.
7. The adaptive highway control system according to claim 6, wherein the inverter circuit output power changes along with the frequency to generate power P 'according to the change of the frequency'kComprises the following steps:
Figure FDA0002477248110000023
wherein, Δ fstepβ is the adjustable frequency change proportion controlled by the centralized controller;
ΔPk＝βNL·Δfsk
wherein, βNLIs a linear relation coefficient between the system frequency change and the active power change;
Figure FDA0002477248110000024
Figure FDA0002477248110000025
wherein, f'skFrequency of the current cycle, fskThe frequency of the previous period is, and delta t is the control time interval of the centralized controller; p'kPower of the current cycle, PkThe power of the previous cycle.
8. The adaptive highway control system according to claim 7, wherein the centralized controller communicates with the independent controllers, receives the adjustable efficiency ratios and the adjustable frequency variation ratio values of the plurality of independent controllers at present, inputs the values into a data processing platform, and receives the weather conditions and the highway pavement conditions of the highway at present monitored by the monitoring device, the data processing platform determines typical values of the adjustable efficiency ratios and the adjustable frequency variation ratio values according to the weather conditions and the highway pavement conditions of the highway at present, compares the typical values with the received adjustable efficiency ratios and the adjustable frequency variation ratio values, determines the adjustable efficiency ratios and the adjustable frequency variation ratio values transmitted by the closest one of the independent controllers, and selects the closest independent controller as a reference, and other independent controllers take the reference object as a reference, and adjust the adjustable efficiency proportion and the adjustable frequency change proportion value so as to carry out self-adaptive control on the expressway in the whole interval.
9. A control method of the adaptive highway control system according to any one of claims 1 to 8, comprising the steps of:
monitoring weather states and road surface states of a highway in a current interval by monitoring equipment, and transmitting the monitored data to a data processing platform of the centralized controller;
the data processing platform receives the adjustable efficiency proportion and the adjustable frequency change proportion values of the current multiple independent controllers, carries out typical value processing according to the received monitored data, compares the typical value with the received adjustable efficiency proportion and the received adjustable frequency change proportion values, and searches for the distributed load corresponding to the independent controller closest to the typical value;
and selecting the nearest independent controller as a reference object, and adjusting the adjustable efficiency proportion and the adjustable frequency change proportion value by taking the reference object as a reference by other independent controllers so as to perform self-adaptive control on the whole interval highway.
10. The control method according to claim 9, wherein said performing representative value processing based on the received monitored data specifically comprises: the method comprises the steps of calculating an average value of monitored data, outputting the average value to a neural network, carrying out self-learning through the neural network, searching whether the historical data has the same value, taking the same value of the historical data as a typical value if the historical data has the same value, obtaining the closest value in the historical data if the historical data does not have the same value, taking the closest value as a reference value, calculating a difference value between the monitoring data corresponding to the reference value and the current monitoring data, carrying out the self-learning of the neural network on the difference value, obtaining a deviation amount of the typical value corresponding to the difference value, and determining the typical value after summing the deviation amount and the reference value.
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