Energy storage power supply management system, method and device based on artificial intelligence

Abstract

The invention provides an energy storage power supply management system, method and device based on artificial intelligence. The method comprises the steps that the energy distribution state of an area where an energy storage power supply is located and the charging distribution state of an electric vehicle are analyzed through big data statistics; according to the regional energy distribution state and the electric vehicle charging distribution state, a charging energy storage power supply distributed scheduling platform is constructed, and energy storage power supply distributed scheduling distribution is carried out; according to the charging energy storage power supply distributed dispatching platform, the charging energy storage power supply distributed dispatching platform is in communication networking with a terminal, an electric vehicle charging terminal and a mobile terminal, and a charging energy storage power supply distributed dispatching control network is constructed; and according to the charging energy storage power supply distributed scheduling control network, an artificial intelligence energy storage power supply management model is constructed, training and tuning are carried out, the energy distribution state of the energy storage power supply distributed scheduling distribution adaptive region is intelligently managed, and the energy distribution of the energy storage power supply distributed scheduling distribution adaptive region and the reasonable adaptation of the electric vehicle charging distribution are continuously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy distributed power energy storage power supply intelligent control, and more specifically, to an energy storage power supply management system, method and device based on artificial intelligence. Background Art

[0002] Currently, with the development of new energy power technologies, regional energy distribution is not balanced. Problems such as how to analyze the energy in the area where the energy storage power supply is located and the distribution of electric vehicle charging, how to dispatch the charging energy storage power supply to balance the imbalance with regional energy and electric vehicle charging, how to build a charging energy storage scheduling control network, how to utilize cloud computing power and the communication network between electric vehicle charging and mobile terminals, how to improve the management and distribution of energy storage power supplies to adapt to regional energy distribution and make the energy storage power supply adapt to regional energy distribution and electric vehicle charging distribution, and how to improve energy distribution and power supply scheduling and distribution remain to be solved. Therefore, it is necessary to propose an energy storage power supply management system, method and device based on artificial intelligence to at least partially solve the problems existing in the prior art. Summary of the Invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further elaborated in the Detailed Description section. The Summary of the Invention section of the present invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the protection scope of the claimed technical solution.

[0004] To at least partially solve the above problems, the present invention provides an energy storage power supply management system based on artificial intelligence, including:

[0005] A regional energy distribution statistics subsystem that statistically analyzes the regional energy distribution status and electric vehicle charging distribution status where the energy storage power supply is located through big data;

[0006] A charging energy storage power supply centralized and decentralized scheduling subsystem that constructs a charging energy storage power supply centralized and decentralized scheduling platform according to the regional energy distribution status and electric vehicle charging distribution status, and conducts centralized and decentralized scheduling and distribution of the energy storage power supply;

[0007] A charging energy storage scheduling control network subsystem that networks the charging energy storage power supply centralized and decentralized scheduling platform with the cloud, electric vehicle charging terminals and mobile terminals according to the charging energy storage power supply centralized and decentralized scheduling platform to construct a charging energy storage power supply centralized and decentralized scheduling control network;

[0008] An artificial intelligence energy storage power supply management subsystem that constructs an artificial intelligence energy storage power supply management model and conducts training and optimization according to the charging energy storage power supply centralized and decentralized scheduling control network, and intelligently manages the centralized and decentralized scheduling and distribution of the energy storage power supply to adapt to the regional energy distribution status, and continuously improves the reasonable adaptation of the centralized and decentralized scheduling and distribution of the energy storage power supply to regional energy distribution and electric vehicle charging distribution.

[0009] Preferably, the regional energy distribution statistics subsystem includes:

[0010] The energy distribution information collection subsystem obtains the big data information of the energy distribution in the area where the energy storage power supply is located through the collection of energy big data;

[0011] The electric vehicle charging statistics subsystem obtains the statistical law data of the electric vehicle charging information according to the statistics of the electric vehicle charging information;

[0012] The energy charging status analysis subsystem analyzes the energy distribution status in the area where the energy storage power supply is located and the electric vehicle charging distribution status through big data statistics according to the big data information of the energy distribution and the statistical law data of the electric vehicle charging information;

[0013] The big data information of the regional energy distribution includes: the charging information of the natural energy distribution and the charging information of the grid energy distribution.

[0014] Preferably, the charging energy storage power supply centralized dispatching subsystem includes:

[0015] The energy storage power supply centralized dispatching charging and discharging subsystem constructs a charging energy storage power supply centralized dispatching platform according to the regional energy distribution status and the electric vehicle charging distribution status;

[0016] The centralized dispatching platform control subsystem performs the centralized dispatching and distribution control of the energy storage power supply according to the charging energy storage power supply centralized dispatching platform, controls the input of the energy of the energy storage power supply to adapt to the regional energy distribution status, and controls the output of the power of the energy storage power supply to adapt to the electric vehicle charging distribution status;

[0017] The deployment of the charging energy storage power supply centralized dispatching platform includes the deployment in the area with intensive regional energy distribution information and the area with intensive electric vehicle charging distribution information.

[0018] Preferably, the charging energy storage dispatching control network subsystem includes:

[0019] The dispatching platform cloud communication subsystem transmits the communication data between the charging energy storage power supply centralized dispatching platform and the cloud according to the charging energy storage power supply centralized dispatching platform;

[0020] The platform electric vehicle terminal networking subsystem uses the cloud communication data transmission to connect the electric vehicle charging end and the mobile terminal communication networking to construct a charging energy storage power supply centralized dispatching control network.

[0021] Preferably, the artificial intelligence energy storage power supply management subsystem includes:

[0022] The power management intelligent model training subsystem constructs an artificial intelligence energy storage power management model based on the charging and energy storage power centralized and decentralized scheduling control network, and uses cloud computing power to train and optimize the artificial intelligence energy storage power management model to obtain an optimized intelligent energy storage power management model;

[0023] The intelligent management subsystem of energy storage power, through the optimized intelligent energy storage power management model, intelligently manages the centralized and decentralized scheduling and distribution of energy storage power to adapt to the regional energy distribution state, and coordinates the input and output energy distribution of energy storage power, continuously improving the reasonable adaptation of the centralized and decentralized scheduling and distribution of energy storage power to the regional energy distribution and electric vehicle charging distribution.

[0024] The energy storage power management method based on artificial intelligence of the present invention includes:

[0025] S01. Through big data statistical analysis, analyze the regional energy distribution state and electric vehicle charging distribution state where the energy storage power is located;

[0026] S02. According to the regional energy distribution state and electric vehicle charging distribution state, construct a charging and energy storage power centralized and decentralized scheduling platform to conduct centralized and decentralized scheduling and distribution of energy storage power;

[0027] S03. According to the charging and energy storage power centralized and decentralized scheduling platform, communicate and network the charging and energy storage power centralized and decentralized scheduling platform with the cloud, electric vehicle charging terminals and mobile terminals to construct a charging and energy storage power centralized and decentralized scheduling control network;

[0028] S04. According to the charging and energy storage power centralized and decentralized scheduling control network, construct an artificial intelligence energy storage power management model and conduct training and optimization, and intelligently manage the centralized and decentralized scheduling and distribution of energy storage power to adapt to the regional energy distribution state, continuously improving the reasonable adaptation of the centralized and decentralized scheduling and distribution of energy storage power to the regional energy distribution and electric vehicle charging distribution.

[0029] Preferably, S01 includes:

[0030] S011. Obtain big data information on the regional energy distribution where the energy storage power is located through energy big data collection;

[0031] S012. According to the statistics of electric vehicle charging information, obtain the statistical rule data of electric vehicle charging information;

[0032] S013. According to the big data information on the regional energy distribution and the statistical rule data of electric vehicle charging information, analyze the regional energy distribution state and electric vehicle charging distribution state where the energy storage power is located through big data statistics;

[0033] The big data information on the regional energy distribution includes: natural energy distribution charging information and grid energy distribution charging information.

[0034] Preferably, S02 includes:

[0035] S021. Construct a centralized dispatching platform for charging and energy storage power sources according to the regional energy distribution status and the electric vehicle charging distribution status.

[0036] S022. According to the centralized dispatching platform for charging and energy storage power sources, conduct centralized dispatching and distribution control of energy storage power sources, control the energy input of the dispatching energy storage power source to adapt to the regional energy distribution status, and control the power output distribution of the energy storage power source to adapt to the electric vehicle charging distribution status.

[0037] The deployment of the centralized dispatching platform for charging and energy storage power sources includes the deployment in areas with intensive regional energy distribution information and areas with intensive electric vehicle charging distribution information.

[0038] Preferably, S03 includes:

[0039] S031. A communication subsystem between the dispatching platform and the cloud. According to the centralized dispatching platform for charging and energy storage power sources, transmit communication data between the platform and the cloud.

[0040] S032. A networking subsystem for electric vehicle terminals of the platform. Utilize the communication data transmission of the cloud to connect the charging terminals of electric vehicles and the communication networking of mobile terminals, and construct a centralized dispatching control network for charging and energy storage power sources.

[0041] S041. According to the centralized dispatching control network for charging and energy storage power sources, construct an artificial intelligence energy storage power source management model, and use the computing power of the cloud to train and optimize the artificial intelligence energy storage power source management model to obtain an optimized intelligent energy storage power source management model.

[0042] S042. Through the optimized intelligent energy storage power source management model, intelligently manage the centralized dispatching and distribution of energy storage power sources to adapt to the regional energy distribution status, and allocate the input and output energy of the energy storage power source to continuously improve the reasonable adaptation of the centralized dispatching and distribution of energy storage power sources to the regional energy distribution and the electric vehicle charging distribution.

[0043] An energy storage power source management device based on artificial intelligence includes: a circuit control device of the energy storage power source management system based on artificial intelligence as described above.

[0044] Compared with the prior art, the present invention has at least the following beneficial effects:

[0045] The present invention provides an energy storage power management system, method and device based on artificial intelligence, which can improve the balanced matching of new energy power management and regional energy distribution, can more accurately analyze the energy in the area where the energy storage power supply is located and the distribution of electric vehicle charging; can improve the energy utilization rate of balanced scheduling between the charging energy storage power supply, regional energy and electric vehicle charging; can construct a charging energy storage scheduling control network and utilize cloud computing power and the communication network between electric vehicle charging and mobile terminals to significantly improve the information transmission and energy transmission efficiency; can improve the adaptability of energy storage power management and distribution to regional energy distribution and make the energy storage power supply adapt to regional energy distribution and electric vehicle charging distribution; significantly improve the continuous optimization of energy distribution and power supply scheduling and distribution; which has great significance and remarkable effects.

[0046] For the energy storage power management system, method and device based on artificial intelligence of the present invention, other advantages, objectives and features of the present invention will be partially reflected by the following description, and will also be understood by those skilled in the art through the research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0048] Figure 1 It is a schematic diagram of an embodiment of the energy storage power management system based on artificial intelligence of the present invention.

[0049] Figure 2 It is a schematic diagram of an embodiment of the pneumatic clutch group of the energy storage power management system based on artificial intelligence of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] The following further describes the present invention in detail with reference to the drawings and embodiments, so that those skilled in the art can implement it according to the description. As shown in the figure, the present invention provides an energy storage power management system based on artificial intelligence, including:

[0051] A regional energy distribution statistics subsystem, which statistically analyzes the energy distribution status in the area where the energy storage power supply is located and the electric vehicle charging distribution status through big data;

[0052] A charging energy storage power supply centralized dispatching subsystem, which constructs a charging energy storage power supply centralized dispatching platform according to the regional energy distribution status and the electric vehicle charging distribution status, and conducts centralized dispatching and distribution of the energy storage power supply;

[0053] A charging energy storage scheduling control network subsystem, which networks the charging energy storage power supply centralized dispatching platform with the cloud, the electric vehicle charging end and the mobile terminal according to the charging energy storage power supply centralized dispatching platform to construct a charging energy storage power supply centralized dispatching control network;

[0054] Artificial intelligence energy storage power management subsystem. According to the charging energy storage power centralized and distributed scheduling control network, an artificial intelligence energy storage power management model is constructed and trained and optimized, and the centralized and distributed scheduling of energy storage power is intelligently managed to adapt to the regional energy distribution state, continuously improving the reasonable adaptation of the centralized and distributed scheduling of energy storage power to the regional energy distribution and electric vehicle charging distribution.

[0055] The principle and effect of the above technical solution are as follows: The regional energy distribution statistics subsystem 01 statistically analyzes the regional energy distribution state and electric vehicle charging distribution state where the energy storage power is located through big data; the charging energy storage power centralized and distributed scheduling subsystem 02 constructs a charging energy storage power centralized and distributed scheduling platform according to the regional energy distribution state and electric vehicle charging distribution state, and conducts centralized and distributed scheduling of energy storage power; the charging energy storage scheduling control network subsystem 03 communicates and networks the charging energy storage power centralized and distributed scheduling platform with the cloud, the electric vehicle charging end and the mobile terminal according to the charging energy storage power centralized and distributed scheduling platform to construct a charging energy storage power centralized and distributed scheduling control network; the artificial intelligence energy storage power management subsystem 04 constructs an artificial intelligence energy storage power management model and conducts training and optimization according to the charging energy storage power centralized and distributed scheduling control network, intelligently manages the centralized and distributed scheduling of energy storage power to adapt to the regional energy distribution state, and continuously improves the reasonable adaptation of the centralized and distributed scheduling of energy storage power to the regional energy distribution and electric vehicle charging distribution; it can improve the balance matching of new energy power management and regional energy distribution, and can more accurately analyze the energy in the area where the energy storage power is located and the electric vehicle charging distribution; it can improve the energy utilization rate of the balanced scheduling between the charging energy storage power and the regional energy and electric vehicle charging; it can construct a charging energy storage scheduling control network and utilize the cloud computing power and the communication network of electric vehicle charging and mobile terminals to significantly improve the information transmission and energy transmission efficiency; it can improve the management and distribution of energy storage power to adapt to the regional energy distribution and make the energy storage power adapt to the regional energy distribution and electric vehicle charging distribution; it significantly improves the continuous optimization of the energy distribution and power scheduling and distribution energy; it has great significance and remarkable effects.

[0056] In one embodiment, the regional energy distribution statistics subsystem includes:

[0057] The energy distribution information collection subsystem obtains the big data information of the regional energy distribution where the energy storage power is located through the collection of energy big data;

[0058] The electric vehicle charging statistics subsystem obtains the statistical rule data of the electric vehicle charging information according to the statistics of the electric vehicle charging information;

[0059] The energy charging state analysis subsystem statistically analyzes the regional energy distribution state and electric vehicle charging distribution state where the energy storage power is located through big data according to the big data information of the energy distribution and the statistical rule data of the electric vehicle charging information;

[0060] The big data information of regional energy distribution includes: natural electric energy distribution charging information and grid electric energy distribution charging information.

[0061] The principle and effect of the above technical solution are as follows: The energy distribution information acquisition subsystem 11 obtains the big data information of regional energy distribution where the energy storage power supply is located through energy big data acquisition; the electric vehicle charging statistics subsystem 12 obtains the statistical law data of electric vehicle charging information according to the statistics of electric vehicle charging information; the energy charging status analysis subsystem 13 analyzes the regional energy distribution status and the electric vehicle charging distribution status where the energy storage power supply is located through big data statistics according to the big data information of regional energy distribution and the statistical law data of electric vehicle charging information; the big data information of regional energy distribution includes: natural electric energy distribution charging information and grid electric energy distribution charging information; it can improve the management of new energy power sources and the balanced matching of regional energy distribution, and can more accurately analyze the energy in the area where the energy storage power supply is located and the electric vehicle charging distribution; when the coincidence degree between the electric vehicle charging distribution and the natural electric energy distribution charging area is higher in the natural electric energy distribution charging information, the grid electric energy distribution charging information and the electric vehicle charging distribution status, the dispatching of the energy storage power supply and the distribution volume of the natural electric energy distribution are higher; when the coincidence degree between the electric vehicle charging distribution and the grid electric energy distribution charging area is higher in the natural electric energy distribution charging information, the grid electric energy distribution charging information and the electric vehicle charging distribution status, the dispatching of the energy storage power supply and the distribution volume of the grid electric energy distribution are higher; and it dynamically dispatches and allocates according to the natural electric energy distribution charging information, the grid electric energy distribution charging information and the electric vehicle charging distribution status, improves the management of new energy power sources and the balance of regional energy distribution, and reduces the dispatching efficiency and distribution difference.

[0062] In one embodiment, the charging and energy storage power supply centralized dispatching subsystem includes:

[0063] The charging and discharging subsystem of the centralized dispatching of the energy storage power supply constructs a centralized dispatching platform for the charging and energy storage power supply according to the regional energy distribution status and the electric vehicle charging distribution status;

[0064] The control subsystem of the centralized dispatching platform conducts centralized dispatching and allocation control of the energy storage power supply according to the centralized dispatching platform for the charging and energy storage power supply, controls the energy input of the dispatching energy storage power supply to adapt to the regional energy distribution status, and controls the power output of the allocated energy storage power supply to adapt to the electric vehicle charging distribution status;

[0065] The deployment of the centralized dispatching platform for the charging and energy storage power supply includes the deployment in the areas with intensive regional energy distribution information and intensive electric vehicle charging distribution information.

[0066] The principles and effects of the above technical solution are as follows: The energy storage power centralized and distributed scheduling charging and discharging subsystem constructs a charging energy storage power centralized and distributed scheduling platform according to the regional energy distribution status and the electric vehicle charging distribution status; The centralized and distributed scheduling platform control subsystem, based on the charging energy storage power centralized and distributed scheduling platform, conducts centralized and distributed scheduling and allocation control of the energy storage power, controls and schedules the energy input of the energy storage power to adapt to the regional energy distribution status, and controls and allocates the power output of the energy storage power to match the electric vehicle charging distribution status; The charging energy storage power centralized and distributed scheduling platform is deployed in areas with dense regional energy distribution information and areas with dense electric vehicle charging distribution information; It can improve the energy utilization rate of balanced scheduling between the charging energy storage power, regional energy, and electric vehicle charging; The charging energy storage power centralized and distributed scheduling platform includes an energy scheduling path planning that combines the regional energy distribution status, the natural electric energy, grid electric energy, or emergency power generation of the regional energy supply to centrally charge the energy storage power, and optimizes the charging energy supply and energy scheduling path.

[0067] In one embodiment, the charging energy storage scheduling control network subsystem includes:

[0068] The scheduling platform cloud communication subsystem, based on the charging energy storage power centralized and distributed scheduling platform, conducts platform-to-cloud communication data transmission between the charging energy storage power centralized and distributed scheduling platform and the cloud.

[0069] The platform electric vehicle terminal networking subsystem uses the cloud communication data transmission to connect the electric vehicle charging end and the mobile terminal communication network to form a charging energy storage power centralized and distributed scheduling control network.

[0070] The principles and effects of the above technical solution are as follows: The scheduling platform cloud communication subsystem, based on the charging energy storage power centralized and distributed scheduling platform, conducts platform-to-cloud communication data transmission between the charging energy storage power centralized and distributed scheduling platform and the cloud; The platform electric vehicle terminal networking subsystem uses the cloud communication data transmission to connect the electric vehicle charging end and the mobile terminal communication network to form a charging energy storage power centralized and distributed scheduling control network; It can form a charging energy storage scheduling control network and utilize the cloud computing power and the electric vehicle charging and mobile terminal communication network to significantly improve the information transmission and energy transmission efficiency.

[0071] In one embodiment, the artificial intelligence energy storage power management subsystem includes:

[0072] The power management intelligent model training subsystem constructs an artificial intelligence energy storage power management model according to the charging energy storage power centralized and distributed scheduling control network, and uses the cloud computing power to train and optimize the artificial intelligence energy storage power management model to obtain an optimized intelligent energy storage power management model.

[0073] The intelligent management subsystem of the energy storage power supply optimizes the intelligent energy storage power supply management model, intelligently manages the centralized dispatching and distribution of the energy storage power supply to adapt to the regional energy distribution state, and coordinates the input and output energy distribution of the energy storage power supply, continuously improving the reasonable adaptation of the centralized dispatching and distribution of the energy storage power supply to the regional energy distribution and the electric vehicle charging distribution.

[0074] The principle and effect of the above technical solution are as follows: The power management intelligent model training subsystem constructs an artificial intelligence energy storage power supply management model according to the centralized dispatching control network of the charging energy storage power supply, and uses cloud computing power to train and optimize the artificial intelligence energy storage power supply management model to obtain an optimized intelligent energy storage power supply management model; the intelligent management subsystem of the energy storage power supply intelligently manages the centralized dispatching and distribution of the energy storage power supply to adapt to the regional energy distribution state through the optimized intelligent energy storage power supply management model, and coordinates the input and output energy distribution of the energy storage power supply, continuously improving the reasonable adaptation of the centralized dispatching and distribution of the energy storage power supply to the regional energy distribution and the electric vehicle charging distribution; it can improve the adaptation of the energy storage power supply management and distribution to the regional energy distribution and make the energy storage power supply adapt to the regional energy distribution and the electric vehicle charging distribution; significantly improve the continuous optimization of the energy distribution and the power dispatching and distribution of the energy supply; it has great significance and remarkable effects.

[0075] The energy storage power supply management method based on artificial intelligence of the present invention includes:

[0076] S01, statistically analyzing the regional energy distribution state and the electric vehicle charging distribution state of the energy storage power supply through big data;

[0077] S02, constructing a centralized dispatching platform for the charging energy storage power supply according to the regional energy distribution state and the electric vehicle charging distribution state, and performing centralized dispatching and distribution of the energy storage power supply;

[0078] S03, according to the centralized dispatching platform for the charging energy storage power supply, communicating and networking the centralized dispatching platform for the charging energy storage power supply with the cloud, the electric vehicle charging terminal and the mobile terminal to construct a centralized dispatching control network for the charging energy storage power supply;

[0079] S04, constructing an artificial intelligence energy storage power supply management model according to the centralized dispatching control network for the charging energy storage power supply and training and optimizing it, intelligently managing the centralized dispatching and distribution of the energy storage power supply to adapt to the regional energy distribution state, and continuously improving the reasonable adaptation of the centralized dispatching and distribution of the energy storage power supply to the regional energy distribution and the electric vehicle charging distribution.

[0080] The principles and effects of the above technical solution are as follows: By statistically analyzing the energy distribution status and electric vehicle charging distribution status in the area where the energy storage power supply is located through big data; According to the energy distribution status in the area and the electric vehicle charging distribution status, a centralized dispatching platform for charging energy storage power supplies is constructed to perform centralized dispatching and allocation of energy storage power supplies; According to the centralized dispatching platform for charging energy storage power supplies, the centralized dispatching platform for charging energy storage power supplies is networked with the cloud, the electric vehicle charging end, and the mobile terminal to construct a centralized dispatching control network for charging energy storage power supplies; According to the centralized dispatching control network for charging energy storage power supplies, an artificial intelligence energy storage power supply management model is constructed and trained and optimized to intelligently manage the centralized dispatching and allocation of energy storage power supplies to adapt to the energy distribution status in the area, and continuously improve the reasonable adaptation of the centralized dispatching and allocation of energy storage power supplies to the energy distribution in the area and the electric vehicle charging distribution; It can improve the balanced matching of new energy power management and the energy distribution in the area, and can more accurately analyze the energy in the area where the energy storage power supply is located and the electric vehicle charging distribution; It can improve the energy utilization rate of the balanced dispatching between the charging energy storage power supply and the energy in the area and the electric vehicle charging; It can construct a charging energy storage dispatching control network and utilize the cloud computing power and the communication network between the electric vehicle charging and the mobile terminal to significantly improve the information transmission and energy transmission efficiency; It can improve the management and allocation of the energy storage power supply to adapt to the energy distribution in the area and make the energy storage power supply adapt to the energy distribution in the area and the electric vehicle charging distribution; It can significantly improve the continuous optimization of the energy distribution and the power dispatching and allocation energy, which has great significance and remarkable effects.

[0081] In one embodiment, S01 includes:

[0082] S011, obtaining the big data information of the energy distribution in the area where the energy storage power supply is located through energy big data collection;

[0083] S012, obtaining the statistical law data of the electric vehicle charging information according to the statistics of the electric vehicle charging information;

[0084] S013, statistically analyzing the energy distribution status and electric vehicle charging distribution status in the area where the energy storage power supply is located through big data according to the big data information of the energy distribution and the statistical law data of the electric vehicle charging information;

[0085] The big data information of the energy distribution in the area includes: the charging information of the natural electric energy distribution and the charging information of the grid electric energy distribution.

[0086] The principle and effects of the above technical solution are as follows: obtaining big data information on the energy distribution in the area where the energy storage power supply is located through energy big data collection; obtaining statistical data on the charging information of electric vehicles according to the statistics of electric vehicle charging information; analyzing the energy distribution status and electric vehicle charging distribution status in the area where the energy storage power supply is located through big data statistics based on the big data information on energy distribution and the statistical data on electric vehicle charging information; the big data information on the energy distribution in the area includes: natural electric energy distribution charging information and grid electric energy distribution charging information; it can improve the management of new energy power sources and the balanced matching of regional energy distribution, and can more accurately analyze the energy in the area where the energy storage power supply is located and the electric vehicle charging distribution; when the coincidence degree between the electric vehicle charging distribution and the natural electric energy distribution charging area is higher in the natural electric energy distribution charging information, the grid electric energy distribution charging information and the electric vehicle charging distribution status, the dispatching of the energy storage power supply and the distribution volume of the natural electric energy distribution are higher; when the coincidence degree between the electric vehicle charging distribution and the grid electric energy distribution charging area is higher in the natural electric energy distribution charging information, the grid electric energy distribution charging information and the electric vehicle charging distribution status, the dispatching of the energy storage power supply and the distribution volume of the grid electric energy distribution are higher; and dynamically dispatching and distributing according to the natural electric energy distribution charging information, the grid electric energy distribution charging information and the electric vehicle charging distribution status, improving the balance between new energy power source management and regional energy distribution, and reducing the distribution difference caused by the reduction of dispatching efficiency.

[0087] In one embodiment, S02 includes:

[0088] S021, constructing a centralized dispatching platform for charging energy storage power supplies according to the regional energy distribution status and the electric vehicle charging distribution status;

[0089] S022, performing centralized dispatching and distribution control of the energy storage power supply according to the centralized dispatching platform for charging energy storage power supplies, controlling the energy input of the energy storage power supply to adapt to the regional energy distribution status, and controlling the power output distribution of the energy storage power supply to adapt to the electric vehicle charging distribution status;

[0090] The deployment of the centralized dispatching platform for charging energy storage power supplies includes deployment in areas with intensive regional energy distribution information and areas with intensive electric vehicle charging distribution information.

[0091] The principles and effects of the above technical solution are as follows: Based on the regional energy distribution status and the electric vehicle charging distribution status, a centralized dispatching platform for charging and energy storage power sources is constructed; according to the centralized dispatching platform for charging and energy storage power sources, centralized dispatching and allocation control of energy storage power sources is carried out, controlling the energy input of energy storage power sources to adapt to the regional energy distribution status, and controlling the power output allocation of energy storage power sources to adapt to the electric vehicle charging distribution status; the deployment of the centralized dispatching platform for charging and energy storage power sources includes deployment in areas with dense regional energy distribution information and areas with dense electric vehicle charging distribution information; it can build a charging and energy storage dispatching control network and utilize cloud computing power and the communication network between electric vehicle charging and mobile terminals, significantly improving the information transmission and energy transmission efficiency; the centralized dispatching platform for charging and energy storage power sources includes an energy dispatching path planning for centralized charging and energy storage power sources by combining natural electric energy, grid electric energy or emergency power generation in the regional energy supply according to the regional energy distribution status, optimizing the charging energy supply and energy dispatching path.

[0092] In one embodiment, S03 includes:

[0093] S031, a dispatching platform cloud communication subsystem, according to the centralized dispatching platform for charging and energy storage power sources, transmits the communication data between the platform and the cloud between the centralized dispatching platform for charging and energy storage power sources and the cloud.

[0094] S032, a platform electric vehicle terminal networking subsystem, uses the cloud communication data transmission to connect the electric vehicle charging end and the mobile terminal communication network, and constructs a centralized dispatching control network for charging and energy storage power sources.

[0095] S041, according to the centralized dispatching control network for charging and energy storage power sources, constructs an artificial intelligence energy storage power source management model, and uses cloud computing power to train and optimize the artificial intelligence energy storage power source management model to obtain an optimized intelligent energy storage power source management model.

[0096] S042, through the optimized intelligent energy storage power source management model, intelligently manages the centralized dispatching and allocation of energy storage power sources to adapt to the regional energy distribution status, and coordinates the energy input and output allocation of energy storage power sources, continuously improving the reasonable adaptation of the centralized dispatching and allocation of energy storage power sources to the regional energy distribution and electric vehicle charging distribution.

[0097] The principles and effects of the above technical solution are as follows: The cloud communication subsystem of the dispatching platform, according to the charging and energy storage power source centralized dispatching platform, transmits communication data between the platform and the cloud between the charging and energy storage power source centralized dispatching platform and the cloud; The platform electric vehicle terminal networking subsystem uses cloud communication data transmission to connect the electric vehicle charging end and the mobile terminal communication network to build a charging and energy storage power source centralized dispatching control network; According to the charging and energy storage power source centralized dispatching control network, an artificial intelligence energy storage power management model is constructed, and the cloud computing power is used to train and optimize the artificial intelligence energy storage power management model to obtain an optimized intelligent energy storage power management model; Through the optimized intelligent energy storage power management model, the energy distribution state of the area adapted to the centralized dispatching and distribution of the energy storage power source is intelligently managed, and the input and output energy distribution of the energy storage power source is adjusted to continuously improve the reasonable adaptation of the centralized dispatching and distribution of the energy storage power source to the regional energy distribution and the electric vehicle charging distribution; It can improve the adaptation of the energy storage power management and distribution to the regional energy distribution and make the energy storage power source adapt to the regional energy distribution and the electric vehicle charging distribution; Significantly improve the continuous optimization of the energy distribution and the power dispatching and distribution energy.

[0098] The energy storage power management device based on artificial intelligence of the present invention includes: the circuit control device of the energy storage power management system based on artificial intelligence as described above.

[0099] The principles and effects of the above technical solution are as follows: The energy storage power management device based on artificial intelligence of the present invention includes: the circuit control device of the energy storage power management system based on artificial intelligence as described above; It can improve the balanced matching of new energy power management and regional energy distribution, and can more accurately analyze the regional energy where the energy storage power source is located and the electric vehicle charging distribution; It can improve the energy utilization rate of the balanced dispatching between the charging and energy storage power source and the regional energy and the electric vehicle charging; It can build a charging and energy storage dispatching control network and use cloud computing power and the electric vehicle charging and mobile terminal communication network to significantly improve the information transmission and energy transmission efficiency; It can improve the adaptation of the energy storage power management and distribution to the regional energy distribution and make the energy storage power source adapt to the regional energy distribution and the electric vehicle charging distribution; Significantly improve the continuous optimization of the energy distribution and the power dispatching and distribution energy; It has great significance and remarkable effects.

[0100] Although the embodiments of the present invention have been disclosed as above, it is not limited to only the applications listed in the specification and the embodiments. It can be fully applied to various fields suitable for the present invention. For those familiar with the field, additional modifications can be easily made. Therefore, without departing from the general concept defined by the claims and the equivalent scope, the present invention is not limited to the specific details and the examples shown and described here.

Claims

1. An energy storage power management system based on artificial intelligence, characterized in that, Including: Regional energy distribution statistical subsystem, which statistically analyzes the energy distribution status of the areas where energy storage power sources are located and the electric vehicle charging distribution status through big data. Charging energy storage power source centralized dispatching subsystem, which constructs a centralized dispatching platform for charging energy storage power sources according to the regional energy distribution status and the electric vehicle charging distribution status, and conducts centralized dispatching and allocation of energy storage power sources. Charging energy storage dispatching control network subsystem, which, based on the centralized dispatching platform for charging energy storage power sources, communicates and networks the centralized dispatching platform for charging energy storage power sources with the cloud, the electric vehicle charging end, and the mobile terminal to construct a centralized dispatching control network for charging energy storage power sources. Artificial intelligence energy storage power source management subsystem, which, based on the centralized dispatching control network for charging energy storage power sources, constructs an artificial intelligence energy storage power source management model and conducts training and optimization, intelligently manages the centralized dispatching and allocation of energy storage power sources to adapt to the regional energy distribution status, and continuously improves the reasonable adaptation of the centralized dispatching and allocation of energy storage power sources to the regional energy distribution and the electric vehicle charging distribution.

2. The energy storage power management system based on artificial intelligence according to claim 1, characterized in that Regional energy distribution statistical subsystem, including: Energy distribution information collection subsystem, which obtains the big data information on the energy distribution in the areas where energy storage power sources are located through the collection of energy big data. Electric vehicle charging statistics subsystem, which obtains the statistical rule data of electric vehicle charging information according to the statistics of electric vehicle charging information. Energy charging status analysis subsystem, which statistically analyzes the energy distribution status of the areas where energy storage power sources are located and the electric vehicle charging distribution status through big data based on the big data information on energy distribution and the statistical rule data of electric vehicle charging information. The big data information on regional energy distribution includes: natural energy distribution charging information and grid energy distribution charging information.

3. The energy storage power management system based on artificial intelligence according to claim 1, characterized in that Charging energy storage power source centralized dispatching subsystem, including: Energy storage power source centralized dispatching charging and discharging subsystem, which constructs a centralized dispatching platform for charging energy storage power sources according to the regional energy distribution status and the electric vehicle charging distribution status. Centralized dispatching platform control subsystem, which, based on the centralized dispatching platform for charging energy storage power sources, conducts control of the centralized dispatching and allocation of energy storage power sources, controls the input of energy storage power sources to adapt to the regional energy distribution status, and controls the output allocation of energy storage power sources to adapt to the electric vehicle charging distribution status. The deployment of the centralized dispatching platform for charging energy storage power sources includes deployment in areas with intensive regional energy distribution information and areas with intensive electric vehicle charging distribution information.

4. The energy storage power management system based on artificial intelligence according to claim 1, characterized in that, Charging energy storage dispatching control network subsystem, including: Dispatch platform-cloud communication subsystem, which, based on the centralized dispatching platform for charging energy storage power sources, conducts platform-cloud communication data transmission between the centralized dispatching platform for charging energy storage power sources and the cloud. Platform-electric vehicle terminal networking subsystem, which uses cloud communication data transmission to connect the electric vehicle charging end and the mobile terminal for communication networking to construct a centralized dispatching control network for charging energy storage power sources.

5. The energy storage power management system based on artificial intelligence according to claim 1, characterized in that, Artificial intelligence energy storage power source management subsystem, including: Power source management intelligent model training subsystem, which, based on the centralized dispatching control network for charging energy storage power sources, constructs an artificial intelligence energy storage power source management model, and uses cloud computing power to conduct training and optimization of the artificial intelligence energy storage power source management model to obtain an optimized intelligent energy storage power source management model. The intelligent management subsystem of the energy storage power supply optimizes the intelligent energy storage power supply management model to intelligently manage the centralized dispatching and distribution of the energy storage power supply to adapt to the regional energy distribution state, and coordinates the input and output energy distribution of the energy storage power supply, continuously improving the reasonable adaptation of the centralized dispatching and distribution of the energy storage power supply to the regional energy distribution and the electric vehicle charging distribution.

6. An energy storage power management method based on artificial intelligence, characterized in that, It includes: S01. Statistically analyze the regional energy distribution state and the electric vehicle charging distribution state of the energy storage power supply through big data. S02. Build a centralized dispatching platform for the charging energy storage power supply according to the regional energy distribution state and the electric vehicle charging distribution state, and conduct centralized dispatching and distribution of the energy storage power supply. S03. According to the centralized dispatching platform for the charging energy storage power supply, communicate and network the centralized dispatching platform for the charging energy storage power supply with the cloud, the electric vehicle charging terminal and the mobile terminal to build a centralized dispatching control network for the charging energy storage power supply. S04. Build an artificial intelligence energy storage power supply management model based on the centralized dispatching control network for the charging energy storage power supply and conduct training and optimization, intelligently manage the centralized dispatching and distribution of the energy storage power supply to adapt to the regional energy distribution state, and continuously improve the reasonable adaptation of the centralized dispatching and distribution of the energy storage power supply to the regional energy distribution and the electric vehicle charging distribution.

7. The energy storage power management method based on artificial intelligence according to claim 6, characterized in that S01 includes: S011. Obtain the big data information on the regional energy distribution of the energy storage power supply through energy big data collection. S012. Obtain the statistical law data of the electric vehicle charging information according to the statistics of the electric vehicle charging information. S013. Statistically analyze the regional energy distribution state and the electric vehicle charging distribution state of the energy storage power supply through big data based on the big data information on the regional energy distribution and the statistical law data of the electric vehicle charging information. The big data information on the regional energy distribution includes: the charging information of the natural energy distribution and the charging information of the grid energy distribution.

8. The energy storage power management method based on artificial intelligence according to claim 6, characterized in that S02 includes: S021. Build a centralized dispatching platform for the charging energy storage power supply according to the regional energy distribution state and the electric vehicle charging distribution state. S022. According to the centralized dispatching platform for the charging energy storage power supply, conduct centralized dispatching and distribution control of the energy storage power supply, control and dispatch the energy input of the energy storage power supply to adapt to the regional energy distribution state, and control and distribute the power output of the energy storage power supply to adapt to the electric vehicle charging distribution state. The deployment of the centralized dispatching platform for the charging energy storage power supply includes the deployment in the areas with intensive regional energy distribution information and the areas with intensive electric vehicle charging distribution information.

9. The energy storage power management method based on artificial intelligence according to claim 6, wherein S03 includes: S031. The communication subsystem between the dispatching platform and the cloud. According to the centralized dispatching platform for the charging energy storage power supply, transmit the communication data between the centralized dispatching platform for the charging energy storage power supply and the cloud. S032. The networking subsystem between the platform and the electric vehicle terminal. Utilize the cloud communication data transmission to connect the electric vehicle charging terminal and the mobile terminal for communication networking to build a centralized dispatching control network for the charging energy storage power supply. S041. Build an artificial intelligence energy storage power supply management model according to the centralized dispatching control network for the charging energy storage power supply, and use the cloud computing power to train and optimize the artificial intelligence energy storage power supply management model to obtain an optimized intelligent energy storage power supply management model. S042, by optimizing the intelligent energy storage power management model, intelligently manage the centralized dispatching and distribution of energy storage power sources to adapt to the regional energy distribution state, and allocate the input and output energy of the energy storage power sources, continuously improving the reasonable adaptation of the centralized dispatching and distribution of energy storage power sources to the regional energy distribution and the electric vehicle charging distribution.

10. Energy storage power management device based on artificial intelligence, characterized in that Including: The circuit control device of the energy storage power management system based on artificial intelligence as described in claim 1.

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