Centralized control system of solar street lamp

Abstract

The invention relates to the technical field of solar street lamp control, in particular to a centralized control system of solar street lamps, which is characterized in that first environment data, second solar panel data, third storage battery data and fourth street lamp working data on an expressway are acquired in real time through a data acquisition module; the available electric energy analysis module calculates first available electric energy through the first environment data and the second solar cell panel data, calculates second available electric energy according to the third storage battery data, and finally obtains third available electric energy; the supply-demand difference analysis module generates a first electric energy supply-demand difference matrix by calculating the total available electric energy and the total required electric energy of each region; and the supply and demand balance control module dynamically selects an electric energy scheduling strategy by using a DQN network model, adaptively updates a Q function according to environment feedback, and realizes adaptive distribution of electric energy of each region. Through the system, electric energy supply and demand balance of each region can be effectively realized, and the problem of insufficient power supply of the solar street lamp is effectively avoided.

Description

Technical Field

[0001] The invention relates to the technical field of solar street lamp control, in particular to a centralized control system of solar street lamps. Background Art

[0002] With the increasing awareness of environmental protection, solar street lights are widely used in urban roads, rural lighting, parks and public facilities lighting due to their advantages of energy saving and environmental protection. Solar street lights mainly rely on solar panels to convert light energy into electrical energy and supply power through energy storage batteries. However, due to the volatility of solar power generation and the limitations of battery energy storage capacity, especially in rainy weather or short light hours in winter, the problem of insufficient power supply often occurs, resulting in failure of street lighting or unstable performance.

[0003] Existing solar street light systems often adopt an independent single-lamp power supply mode and lack a centralized control system to effectively coordinate and manage the distribution and use of electricity between street lights, which easily leads to the problem of insufficient power supply for solar street lights.

[0004] Therefore, a centralized control system of solar street lamps is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a centralized control system for solar street lights. The present invention relates to the field of solar street light control technology, specifically a centralized control system for solar street lights. The present invention collects first environmental data, second solar panel data, third battery data and fourth street light working data on the highway in real time through a data acquisition module; the available power analysis module calculates the first generateable power through the first environmental data and the second solar panel data, and calculates the second storable power according to the third battery data, and finally obtains the third available power; the supply and demand difference analysis module generates a first power supply and demand difference matrix by calculating the total available power and the total required power in each area; the supply and demand balance control module uses a DQN network model to dynamically select a power scheduling strategy, and adaptively updates the Q function according to environmental feedback to achieve adaptive allocation of power in each area. Through this system, the balance of power supply and demand in each area can be effectively achieved, and the problem of insufficient power supply for solar street lights can be effectively avoided.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A centralized control system for solar street lamps, the system comprising:

[0008] A data acquisition module, used for real-time acquisition of first environmental data, second solar panel data, third battery data and fourth street lamp operation data of the expressway within a preset monitoring period;

[0009] a power supply analysis module, configured to obtain a first power supply that can be generated by the solar street lamp according to the first environmental data and the second solar panel data; obtain a second power supply that can be stored by the solar street lamp according to the third storage battery data, and obtain a third power supply that can be generated by the solar street lamp according to the first power supply that can be generated and the second power supply that can be stored;

[0010] a supply-demand difference analysis module, for dividing the solar street lamps on the highway into regions, calculating the second total available electrical energy of each region according to the third available electrical energy, and obtaining the first total required electrical energy of each region according to the fourth street lamp working data; and obtaining the first electrical energy supply-demand difference matrix of each region according to the first total required electrical energy and the second total available electrical energy;

[0011] The supply and demand balance control module uses the DQN network model to input the first power supply and demand difference matrix into the model, combined with the constraints of regional power distribution; the model dynamically selects the power scheduling strategy and adaptively updates the Q function according to environmental feedback to achieve adaptive distribution of power in each region.

[0012] Preferably, the first environmental data includes light intensity and ambient temperature; the second solar panel data includes solar panel area, solar panel conversion efficiency and solar panel tilt angle; the third battery data includes battery rated capacity, battery discharge depth and charge and discharge efficiency; the fourth street lamp working data includes working time and working power of solar street lamp.

[0013] Preferably, the first electrical energy that can be generated is:

[0014]

[0015] Among them, E i produce represents the first power that can be generated by the i-th solar street lamp; t_begin represents the start time of the preset monitoring cycle; t_end represents the end time of the preset monitoring cycle; S i represents the solar panel area of ​​the i-th solar street light; I i (t) represents the light intensity of the i-th solar street light at time t; η i (t) represents the solar panel conversion efficiency of the i-th solar street light at time t; θ i Represents the tilt angle of the solar panel of the i-th solar street light.

[0016] Preferably, the second storable electrical energy is:

[0017] E i store =Ei rated *C i charge *DoD i ;

[0018] Among them, E i store represents the second storable electric energy of the i-th solar street lamp; E i rated represents the rated capacity of the i-th solar street light; C i charge Indicates the charging and discharging efficiency of the i-th solar street light; DoD i Indicates the battery discharge depth of the i-th solar street light.

[0019] Preferably, the third available electrical energy is:

[0020] E i available =Min(E i produce ,E i store );

[0021] Among them, E i available represents the third available power supply of the i-th solar street lamp; E i produce represents the first amount of electricity that can be generated by the i-th solar street light; E i store Represents the second storable electrical energy of the i-th solar street lamp.

[0022] Preferably, the second total available electrical energy is obtained by summing the third available electrical energy of all solar street lights in each area; the first total required electrical energy is obtained by multiplying the working time, working power and number of solar street lights in each area.

[0023] Preferably, the first power supply and demand difference matrix is ​​obtained by subtracting the second total available power supply from the first total required power in each region and constructing a matrix; the first power supply and demand difference matrix is ​​specifically:

[0024]

[0025] Wherein, ESD represents the first electric energy supply and demand difference matrix; ESD j represents the difference between electricity supply and demand in the jth region; E j total_available represents the second total available electrical energy of the jth region; E j total_demandIt represents the first total power demand of the jth area, and j represents the number of areas.

[0026] Preferably, the DQN network model includes a state space, an action space, a reward function and a Q function; the state space s t The first power supply and demand difference matrix is ​​used to represent the power distribution process between regions; the action space represents the power distribution process between regions; the Q function is reflected in the state s t Next, perform action a t long-term benefits.

[0027] Preferably, the reward function is:

[0028]

[0029] Among them, R t represents the reward function; ESD i represents the difference between electricity supply and demand in the ith region; j represents the number of regions.

[0030] Preferably, the updated Q function is:

[0031] Q new (s t ,a t )=Q(s t ,a t )+α*[R t +γ*max a' Q(s t+1 ,a')-Q(s t ,a t )];

[0032] Among them, Q new (s t ,a t ) represents the updated Q function; α represents the learning rate; Q(s t ,a t ) represents the Q function before updating; R t represents the reward function; γ represents the discount factor; max a' Q(s t+1 ,a') represents the Q value after executing the optimal action a'.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. The present invention collects the first environmental data, the second solar panel data, the third battery data and the fourth street lamp working data of the expressway in real time within a preset monitoring period; and obtains the first generable electric energy of the solar street lamp according to the first environmental data and the second solar panel data; obtains the second storable electric energy of the solar street lamp according to the third battery data, and obtains the third storable electric energy of the solar street lamp according to the first generable electric energy and the second storable electric energy; through the electric energy that can be provided by the solar street lamp, a data basis is provided for improving the power supply balance of the highway solar street lamp, thereby effectively avoiding the problem of insufficient power supply of the highway solar street lamp.

[0035] 2. The present invention divides the solar street lights on the highway into regions, calculates the second total available electrical energy of each region based on the third available electrical energy, and obtains the first total required electrical energy of each region based on the fourth street light working data; obtains the first electrical energy supply and demand difference matrix of each region based on the first total required electrical energy and the second total available electrical energy; the matrix clearly represents the electrical energy supply and demand difference values ​​of each region, provides a good data basis for the later power supply balance of solar street lights on the highway, effectively promotes the power supply balance of each region on the highway, and thus effectively avoids the problem of insufficient power supply of solar street lights on the highway.

[0036] 3. The present invention introduces the DQN network model, inputs the first power supply and demand difference matrix into the DQN network model, and combines the constraints of regional power distribution. The DQN network model dynamically selects the power scheduling strategy and adaptively updates the Q function according to environmental feedback to achieve adaptive distribution of power in each region. This effectively promotes the power supply balance of each area on the highway, thereby effectively avoiding the problem of insufficient power supply for highway solar street lamps. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of a centralized control system for solar street lights provided by an embodiment of the present invention;

[0038] Figure 2 A schematic diagram of a process for obtaining a first electric energy supply and demand difference matrix provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Embodiment 1

[0041] In order to effectively avoid the problem of insufficient power supply of solar street lights, a centralized control system of solar street lights was applied on highway A.

[0042] Reference Figure 1 , is a schematic diagram of a centralized control system for solar street lights;

[0043] A centralized control system for solar street lamps, the system comprising:

[0044] A data acquisition module, used for real-time acquisition of first environmental data, second solar panel data, third battery data and fourth street lamp operation data of Highway A within a preset monitoring period;

[0045] In this embodiment, the preset monitoring period determination rule is: if it is spring and autumn, it is set to 6 am to 6 pm in a day; if it is summer, it is set to 5 am to 7:30 pm; if it is winter, it is set to 7:30 am to 5 pm;

[0046] Furthermore, the first environmental data includes light intensity and ambient temperature; the second solar panel data includes solar panel area, solar panel conversion efficiency and solar panel tilt angle; the third battery data includes battery rated capacity, battery discharge depth and charge and discharge efficiency; the fourth street lamp working data includes working time and working power of solar street lamp;

[0047] The solar panel area is obtained by measuring the surface area of ​​the solar panel; the solar panel conversion efficiency is expressed according to the data provided by the solar panel manufacturer; the solar panel tilt angle is measured by an inclinometer; the battery rated capacity is expressed according to the fixed parameters provided by the battery manufacturer; the battery discharge depth and charge and discharge efficiency are monitored and obtained through the battery management system (BMS); the working time of the solar street light is expressed as the remaining total time outside the preset monitoring cycle in a day; the working power is expressed according to the data provided by the solar panel manufacturer;

[0048] The light intensity is obtained by a light sensor; the ambient temperature is obtained by a temperature sensor;

[0049] a power supply analysis module, configured to obtain a first power supply that can be generated by the solar street lamp according to the first environmental data and the second solar panel data; obtain a second power supply that can be stored by the solar street lamp according to the third storage battery data, and obtain a third power supply that can be generated by the solar street lamp according to the first power supply that can be generated and the second power supply that can be stored;

[0050] Further, the first electrical energy that can be generated is:

[0051]

[0052] Among them, E i produce represents the first power that can be generated by the i-th solar street lamp; t_begin represents the start time of the preset monitoring cycle; t_end represents the end time of the preset monitoring cycle; S i represents the solar panel area of ​​the i-th solar street light; I i (t) represents the light intensity of the i-th solar street light at time t; η i (t) represents the solar panel conversion efficiency of the i-th solar street light at time t; θ i Represents the tilt angle of the solar panel of the i-th solar street light.

[0053] Furthermore, the second storable electrical energy is:

[0054] E i store =E i rated *C i charge *DoD i ;

[0055] Among them, E i store represents the second storable electric energy of the i-th solar street lamp; E i rated represents the rated capacity of the i-th solar street light; C i charge Indicates the charging and discharging efficiency of the i-th solar street light; DoD i Indicates the battery discharge depth of the i-th solar street light.

[0056] Furthermore, the third available electrical energy is:

[0057] E i available =Min(E i produce ,E i store );

[0058] Among them, E i available represents the third available power supply of the i-th solar street lamp; E i produce represents the first amount of electricity that can be generated by the i-th solar street light; E i store Represents the second storable electrical energy of the i-th solar street lamp.

[0059] This embodiment collects the first environmental data, the second solar panel data, the third battery data and the fourth street lamp working data of the expressway in real time within a preset monitoring period; and obtains the first generable electric energy of the solar street lamp according to the first environmental data and the second solar panel data; obtains the second storable electric energy of the solar street lamp according to the third battery data, and obtains the third storable electric energy of the solar street lamp according to the first generable electric energy and the second storable electric energy; through the available electric energy of the solar street lamp, a data basis is provided for improving the power supply balance of the highway solar street lamp, thereby effectively avoiding the problem of insufficient power supply of the highway solar street lamp.

[0060] The supply and demand difference analysis module is used to divide the solar street lights on Highway A into regions. The division method is: on the left and right sides of Highway A, every 5 solar street lights are used as a division unit, and the street lights on the left and right sides are merged into one region. Specifically, every time 5 consecutive solar street lights on the left side of Highway A and 5 consecutive solar street lights on the right side form a complete region, each region contains a total of 10 solar street lights, that is, 5 on the left and 5 on the right. And the second total available electrical energy of each region is calculated based on the third available electrical energy, and the first total required electrical energy of each region is obtained based on the fourth street light working data; according to the first total required electrical energy and the second total available electrical energy, the first electrical energy supply and demand difference matrix of each region is obtained;

[0061] Furthermore, the second total available electrical energy is obtained by summing the third available electrical energy of all solar street lamps in each area; the first total required electrical energy is obtained by multiplying the working time of the solar street lamps in each area, the working power of the solar street lamps and the number of solar street lamps;

[0062] Furthermore, the first power supply and demand difference matrix is ​​obtained by subtracting the second total available power supply from the first total required power in each region and constructing a matrix; the first power supply and demand difference matrix is ​​specifically:

[0063]

[0064] Wherein, ESD represents the first electric energy supply and demand difference matrix; ESD j represents the difference between electricity supply and demand in the jth region; E j total_available represents the second total available electrical energy of the jth region; E j total_demand It represents the first total power demand of the jth area, and j represents the number of areas.

[0065] In summary, the schematic diagram of the process of obtaining the first power supply and demand difference matrix is ​​as follows: Figure 2 As shown;

[0066] In the first power supply and demand difference matrix, if the element is a positive number, it means that the power in the area is surplus; if the element is a negative number, it means that the power supply in the area is insufficient;

[0067] This embodiment divides the solar street lights on the highway into regions, calculates the second total available electrical energy of each region based on the third available electrical energy, and obtains the first total required electrical energy of each region based on the fourth street light working data; obtains the first electrical energy supply and demand difference matrix of each region based on the first total required electrical energy and the second total available electrical energy; the matrix clearly represents the electrical energy supply and demand difference value of each region, provides a good data basis for the later power supply balance of solar street lights on the highway, effectively promotes the power supply balance of each region on the highway, and thus effectively avoids the problem of insufficient power supply of highway solar street lights.

[0068] The supply and demand balance control module uses the DQN network model to input the first power supply and demand difference matrix into the model, combined with the constraints of regional power distribution; the model dynamically selects the power scheduling strategy and adaptively updates the Q function according to environmental feedback to achieve adaptive distribution of power in each region.

[0069] Furthermore, the DQN network model includes a state space, an action space, a reward function and a Q function; the state space s t It is represented by the first power supply and demand difference matrix; the action space is defined as the set of all possible inter-regional power allocation schemes, for example, the operation of allocating a certain amount of power from region i to region j is an action in the action space; the Q function is reflected in the state s t Next, perform action a t long-term benefits.

[0070] The regional power distribution constraint condition is: when inter-regional power allocation is performed, the total amount of power available for distribution cannot exceed the sum of all positive elements in the first supply-demand difference matrix;

[0071] Furthermore, the reward function is:

[0072]

[0073] Among them, R t represents the reward function; ESD i represents the difference between electricity supply and demand in the ith region; j represents the number of regions.

[0074] Furthermore, the updated Q function is:

[0075] This embodiment can guide the optimal distribution of electric energy by introducing a reward function. The centralized control system of solar street lamps can provide instant feedback based on the results of the current electric energy distribution, so that the system can evaluate whether a certain scheduling strategy has effectively improved the situation of insufficient electric energy in the area. By continuously adjusting and optimizing the electric energy scheduling strategy, the reward function guides the system to gradually achieve a dynamic balance between the supply and demand of electric energy, thereby reducing the areas with insufficient power supply and making the entire centralized control system of solar street lamps run more efficiently.

[0076] Q new (s t ,a t )=Q(s t ,a t )+α*[R t +γ*max a' Q(s t+1 ,a')-Q(s t ,a t )];

[0077] Among them, Q new (s t ,a t ) represents the updated Q function; α represents the learning rate; Q(s t ,a t ) represents the Q function before updating; R t represents the reward function; γ represents the discount factor; max a' Q(s t+1 ,a') represents the Q value after executing the optimal action a'.

[0078] This embodiment introduces the DQN network model, inputs the first power supply and demand difference matrix into the DQN network model, and combines the constraints of regional power distribution. The DQN network model dynamically selects the power scheduling strategy and adaptively updates the Q function according to environmental feedback. The Q function is adaptively updated according to the real-time feedback of the system, which enables the system to maintain efficient scheduling under the ever-changing power supply and demand conditions, thereby realizing the adaptive distribution of power in each region, which effectively promotes the power supply balance of each area on the highway, thereby effectively avoiding the problem of insufficient power supply for highway solar street lights.

[0079] In this embodiment, the data acquisition module collects the first environmental data, the second solar panel data, the third battery data and the fourth street lamp working data on the highway in real time; the available power analysis module calculates the first generateable power through the first environmental data and the second solar panel data, and calculates the second storable power according to the third battery data, and finally obtains the third available power; the supply and demand difference analysis module generates the first power supply and demand difference matrix by calculating the total available power and the total required power in each area; the supply and demand balance control module uses the DQN network model to dynamically select the power scheduling strategy, and adaptively updates the Q function according to the environmental feedback to realize the adaptive allocation of power in each area. Through this system, the power supply and demand balance of each area can be effectively achieved, and the problem of insufficient power supply of solar street lamps can be effectively avoided.

[0080] Embodiment 2

[0081] In order to effectively avoid the problem of insufficient power supply of solar street lights, a centralized control system of solar street lights was applied on Highway B.

[0082] Reference Figure 1 , is a schematic diagram of a centralized control system for solar street lights;

[0083] A centralized control system for solar street lamps, the system comprising:

[0084] A data acquisition module, used for real-time acquisition of first environmental data, second solar panel data, third battery data and fourth street lamp operation data of Highway B within a preset monitoring period;

[0085] In this embodiment, the preset monitoring period determination rule is: if it is spring and autumn, it is set to 6 am to 6 pm in a day; if it is summer, it is set to 5 am to 7:30 pm; if it is winter, it is set to 7:30 am to 5 pm;

[0086] Furthermore, the first environmental data includes light intensity and ambient temperature; the second solar panel data includes solar panel area, solar panel conversion efficiency and solar panel tilt angle; the third battery data includes battery rated capacity, battery discharge depth and charge and discharge efficiency; the fourth street lamp working data includes working time and working power of solar street lamp;

[0087] The solar panel area is obtained by measuring the surface area of ​​the solar panel; the solar panel conversion efficiency is expressed according to the data provided by the solar panel manufacturer; the solar panel tilt angle is measured by an inclinometer; the battery rated capacity is expressed according to the fixed parameters provided by the battery manufacturer; the battery discharge depth and charge and discharge efficiency are monitored and obtained through the battery management system (BMS); the working time of the solar street light is expressed as the remaining total time outside the preset monitoring cycle in a day; the working power is expressed according to the data provided by the solar panel manufacturer;

[0088] The light intensity is obtained by a light sensor; the ambient temperature is obtained by a temperature sensor;

[0089] a power supply analysis module, configured to obtain a first power supply that can be generated by the solar street lamp according to the first environmental data and the second solar panel data; obtain a second power supply that can be stored by the solar street lamp according to the third storage battery data, and obtain a third power supply that can be generated by the solar street lamp according to the first power supply that can be generated and the second power supply that can be stored;

[0090] Further, the first electrical energy that can be generated is:

[0091]

[0092] Among them, E i produce represents the first power that can be generated by the i-th solar street lamp; t_begin represents the start time of the preset monitoring cycle; t_end represents the end time of the preset monitoring cycle; S i represents the solar panel area of ​​the i-th solar street light; I i (t) represents the light intensity of the i-th solar street light at time t; η i (t) represents the solar panel conversion efficiency of the i-th solar street light at time t; θ i Represents the tilt angle of the solar panel of the i-th solar street light.

[0093] Furthermore, the second storable electrical energy is:

[0094] E i store =E i rated *C i charge *DoD i ;

[0095] Among them, E i store represents the second storable electric energy of the i-th solar street lamp; Ei rated represents the rated capacity of the i-th solar street light; C i charge Indicates the charging and discharging efficiency of the i-th solar street light; DoD i Indicates the battery discharge depth of the i-th solar street light.

[0096] Furthermore, the third available electrical energy is:

[0097] E i available =Min(E i produce ,E i store );

[0098] Among them, E i available represents the third available power supply of the i-th solar street lamp; E i produce represents the first amount of electricity that can be generated by the i-th solar street light; E i store Represents the second storable electrical energy of the i-th solar street lamp.

[0099] The supply and demand difference analysis module is used to divide the solar street lights on Highway B into regions. The division method is: on the left and right sides of Highway B, every 5 solar street lights are used as a division unit, and the street lights on the left and right sides are merged into one region. Specifically, every time 5 consecutive solar street lights on the left side of Highway B and 5 consecutive solar street lights on the right side form a complete region, each region contains a total of 10 solar street lights, that is, 5 on the left and 5 on the right. And the second total available electrical energy of each region is calculated based on the third available electrical energy, and the first total required electrical energy of each region is obtained based on the fourth street light working data; according to the first total required electrical energy and the second total available electrical energy, the first electrical energy supply and demand difference matrix of each region is obtained;

[0100] Furthermore, the second total available electrical energy is obtained by summing the third available electrical energy of all solar street lamps in each area; the first total required electrical energy is obtained by multiplying the working time of the solar street lamps in each area, the working power of the solar street lamps and the number of solar street lamps;

[0101] Furthermore, the first power supply and demand difference matrix is ​​obtained by subtracting the second total available power supply from the first total required power in each region and constructing a matrix; the first power supply and demand difference matrix is ​​specifically:

[0102]

[0103] Wherein, ESD represents the first electric energy supply and demand difference matrix; ESD j represents the difference between electricity supply and demand in the jth region; E j total_available represents the second total available electrical energy of the jth region; E j total_demand It represents the first total power demand of the jth area, and j represents the number of areas.

[0104] In summary, the schematic diagram of the process of obtaining the first power supply and demand difference matrix is ​​as follows: Figure 2 As shown;

[0105] In the first power supply and demand difference matrix, if the element is a positive number, it means that the power in the area is surplus; if the element is a negative number, it means that the power supply in the area is insufficient;

[0106] The supply and demand balance control module uses the DQN network model to input the first power supply and demand difference matrix into the model, combined with the constraints of regional power distribution; the model dynamically selects the power scheduling strategy and adaptively updates the Q function according to environmental feedback to achieve adaptive distribution of power in each region.

[0107] Furthermore, the DQN network model includes a state space, an action space, a reward function and a Q function; the state space s t It is represented by the first power supply and demand difference matrix; the action space is defined as the set of all possible inter-regional power allocation schemes, for example, the operation of allocating a certain amount of power from region i to region j is an action in the action space; the Q function is reflected in the state s t Next, perform action a t long-term benefits.

[0108] The regional power distribution constraint condition is: when inter-regional power allocation is performed, the total amount of power available for distribution cannot exceed the sum of all positive elements in the first supply-demand difference matrix;

[0109] Furthermore, the reward function is:

[0110]

[0111] Among them, R t represents the reward function; ESD i represents the difference between electricity supply and demand in the ith region; j represents the number of regions.

[0112] Furthermore, the updated Q function is:

[0113] This embodiment can guide the optimal distribution of electric energy by introducing a reward function. The centralized control system of solar street lamps can provide instant feedback based on the results of the current electric energy distribution, so that the system can evaluate whether a certain scheduling strategy has effectively improved the situation of insufficient electric energy in the area. By continuously adjusting and optimizing the electric energy scheduling strategy, the reward function guides the system to gradually achieve a dynamic balance between the supply and demand of electric energy, thereby reducing the areas with insufficient power supply and making the entire centralized control system of solar street lamps run more efficiently.

[0114] Q new (s t ,a t )=Q(s t ,a t )+α*[R t +γ*max a' Q(s t+1 ,a')-Q(s t ,a t )];

[0115] Among them, Q new (s t ,a t ) represents the updated Q function; α represents the learning rate; Q(s t ,a t ) represents the Q function before updating; R t represents the reward function; γ represents the discount factor; max a' Q(s t+1 ,a') represents the Q value after executing the optimal action a'.

[0116] This embodiment introduces the DQN network model, inputs the first power supply and demand difference matrix into the DQN network model, and combines the constraints of regional power distribution. The DQN network model dynamically selects the power scheduling strategy and adaptively updates the Q function according to environmental feedback. The Q function is adaptively updated according to the real-time feedback of the system, which enables the system to maintain efficient scheduling under the ever-changing power supply and demand conditions, thereby realizing the adaptive distribution of power in each region, which effectively promotes the power supply balance of each area on the highway, thereby effectively avoiding the problem of insufficient power supply for highway solar street lights.

[0117] In this embodiment, the data acquisition module collects the first environmental data, the second solar panel data, the third battery data and the fourth street lamp working data on the highway in real time; the available power analysis module calculates the first generateable power through the first environmental data and the second solar panel data, and calculates the second storable power according to the third battery data, and finally obtains the third available power; the supply and demand difference analysis module generates the first power supply and demand difference matrix by calculating the total available power and the total required power in each area; the supply and demand balance control module uses the DQN network model to dynamically select the power scheduling strategy, and adaptively updates the Q function according to the environmental feedback to realize the adaptive allocation of power in each area. Through this system, the power supply and demand balance of each area can be effectively achieved, and the problem of insufficient power supply of solar street lamps can be effectively avoided.

[0118] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A centralized control system for solar street lights, characterized in that: The system comprises: A data acquisition module, used for real-time acquisition of first environmental data, second solar panel data, third battery data and fourth street lamp operation data of the expressway within a preset monitoring period; a power supply analysis module, configured to obtain a first power supply that can be generated by the solar street lamp according to the first environmental data and the second solar panel data; obtain a second power supply that can be stored by the solar street lamp according to the third storage battery data, and obtain a third power supply that can be generated by the solar street lamp according to the first power supply that can be generated and the second power supply that can be stored; a supply-demand difference analysis module, for dividing the solar street lamps on the highway into regions, calculating the second total available electrical energy of each region according to the third available electrical energy, and obtaining the first total required electrical energy of each region according to the fourth street lamp working data; and obtaining the first electrical energy supply-demand difference matrix of each region according to the first total required electrical energy and the second total available electrical energy; The supply and demand balance control module uses the DQN network model to input the first power supply and demand difference matrix into the model, combined with the constraints of regional power distribution; the model dynamically selects the power scheduling strategy and adaptively updates the Q function according to environmental feedback to achieve adaptive distribution of power in each region.

2. A centralized control system for solar street lights according to claim 1, characterized in that: The first environmental data includes light intensity and ambient temperature; the second solar panel data includes solar panel area, solar panel conversion efficiency and solar panel tilt angle; the third battery data includes battery rated capacity, battery discharge depth and charge and discharge efficiency; the fourth street lamp working data includes working time and working power of solar street lamps.

3. A centralized control system for solar street lights according to claim 1, characterized in that: The first electrical energy that can be generated is: Among them, E i produce represents the first power that can be generated by the i-th solar street lamp; t_begin represents the start time of the preset monitoring cycle; t_end represents the end time of the preset monitoring cycle; S i represents the solar panel area of ​​the i-th solar street light; I i (t) represents the light intensity of the i-th solar street light at time t; η i (t) represents the solar panel conversion efficiency of the i-th solar street light at time t; θ i Represents the tilt angle of the solar panel of the i-th solar street light.

4. A centralized control system for solar street lights according to claim 1, characterized in that: The second storable electrical energy is: IN i store =E i rated *C i charge *DoD i ; Among them, E i store represents the second storable electric energy of the i-th solar street lamp; E i rated represents the rated capacity of the i-th solar street light; C i charge Indicates the charging and discharging efficiency of the i-th solar street light; DoD i Indicates the battery discharge depth of the i-th solar street light.

5. A centralized control system for solar street lights according to claim 1, characterized in that: The third electrical energy source is: The i available =Min(E i produce ,E i store ); Among them, E i available represents the third available power supply of the i-th solar street lamp; E i produce represents the first amount of electricity that can be generated by the i-th solar street light; E i store Represents the second storable electrical energy of the i-th solar street lamp.

6. A centralized control system for solar street lights according to claim 1, characterized in that: The second total available electrical energy is obtained by summing the third available electrical energy of all solar street lamps in each area; the first total required electrical energy is obtained by multiplying the working time, working power and number of solar street lamps in each area.

7. A centralized control system for solar street lights according to claim 1, characterized in that: The first power supply and demand difference matrix is ​​obtained by calculating the difference between the second total available power supply and the first total required power in each area and constructing a matrix; the first power supply and demand difference matrix is ​​specifically: Wherein, ESD represents the first electric energy supply and demand difference matrix; ESD j represents the difference between electricity supply and demand in the jth region; E j total_available represents the second total available electrical energy of the jth region; E j total_demand It represents the first total power demand of the jth area, and j represents the number of areas.

8. A centralized control system for solar street lights according to claim 1, characterized in that: The DQN network model includes a state space, an action space, a reward function and a Q function; the state space s t The first power supply and demand difference matrix is ​​used to represent the power distribution process between regions; the action space represents the power distribution process between regions; the Q function is reflected in the state s t Next, perform action a t long-term benefits.

9. A centralized control system for solar street lights according to claim 8, characterized in that: The reward function is: Among them, R t represents the reward function; ESD i represents the difference between electricity supply and demand in the ith region; j represents the number of regions.

10. A centralized control system for solar street lights according to claim 1, characterized in that: The updated Q function is: Q new (s t ,a t )=Q(s t ,a t )+α*[R t +γ*max a' Q(s t+1 ,a')-Q(s t ,a t )]; Among them, Q new (s t ,a t ) represents the updated Q function; α represents the learning rate; Q(s t ,a t ) represents the Q function before updating; R t represents the reward function; γ represents the discount factor; max a' Q(s t+1 ,a') represents the Q value after executing the optimal action a'.

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