CN110855002A - Intelligent hierarchical extensible modular energy control system - Google Patents
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- CN110855002A CN110855002A CN201911108495.9A CN201911108495A CN110855002A CN 110855002 A CN110855002 A CN 110855002A CN 201911108495 A CN201911108495 A CN 201911108495A CN 110855002 A CN110855002 A CN 110855002A
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Abstract
The invention discloses an intelligent hierarchical extensible modular energy control system which comprises a main control device and branch control devices, wherein each branch control device comprises a data acquisition module, a data communication module, a decoding execution module and a branch controller implanted with an optimization algorithm, the branch controllers are communicated with the main control device of the main control device through optical fiber channels, the main control device and the branch controllers adopt a bidirectional transmission mechanism, and a control strategy and a control algorithm are arranged in the main control device and are responsible for the optimized operation and scheduling of a total system. The control system adopts a cascade control structure of hierarchical regulation and control, can improve the control quality of main parameters by setting auxiliary parameters, can form effective data sharing, platform interaction and unified management, and greatly improves the level of energy management and scheduling; the invention has better stability and expansibility, can effectively control the actual working condition and improve the working efficiency.
Description
Technical Field
The invention relates to the fields of power industry, energy management, centralized control management of an information system and the like, in particular to an intelligent hierarchical extensible modular energy control system.
Background
The core of the intelligent small town construction is the construction of an energy system, excessive energy use cost can be generated in the actual application process of energy, carbon emission and environmental pollution are increased, and the deep fusion of small town public construction and green energy is not fully realized. This has brought the confusion to the energy overall management of wisdom town, causes inside data to overlap and intersect, and historical data is difficult to comb, difficult traceing back to lead to work efficiency low, extravagant serious.
Disclosure of Invention
The invention aims to solve the technical problems and provides an intelligent hierarchical extensible modular energy control system.
In order to solve the technical problems, the invention adopts the following technical scheme:
an intelligent hierarchical extension modular energy control system comprises a main control device and branch control devices, wherein each branch control device comprises a data acquisition module, a data communication module, a decoding execution module and a branch controller implanted with an optimization algorithm, the branch controllers are communicated with the main control device of the main control device through optical fiber channels, the main control device and the branch controllers adopt a bidirectional transmission mechanism, and a control strategy and a control algorithm are arranged in the main control device and are responsible for the optimized operation and scheduling of a total system;
a data acquisition circuit in the data acquisition module acquires data of key environment parameters through a multi-channel analog sensor under the control of a microcontroller, digitalizes analog signals through program software of the microcontroller, stores the digital signals into an external data memory through I2C, and transmits the data to a network communication interface through optical fibers;
the instruction storage unit in the data communication transmission module communicates with the microcontroller through an I2C bus to realize data interaction between the main controller and the network communication interface, and has the functions of data transmission, transfer, filtration and extraction, wherein the main controller and the sub-controllers jointly complete the regulation and control of the decoding execution module to ensure the accuracy of communication data;
the decoding execution module is used as a terminal actuator and is used for receiving a control instruction sent by the data communication repeater to analyze data and controlling the operation of field equipment through the driving circuit.
Further, the key environmental parameters include node position, air temperature, air humidity, radiation intensity, current, voltage, irradiation intensity.
Furthermore, the system also comprises five functional modules which are respectively a user management module, a remote control module, an expert decision module, a trend prediction module and an extension level comprehensive control strategy.
Further, the user management module is used for setting and controlling basic information of the system, providing basic information for users with different levels, giving information authority to various users, setting management authority for the system, and forming a management organization framework.
Furthermore, the remote control module remotely controls the decoding execution module to open or close the on-site environmental factor adjusting device according to the device address so as to realize remote acquisition and remote regulation and control.
Furthermore, the expert decision module is used for setting a reasonable parameter range by a user according to big data operation experience, historical operation data and expert guidance experience, and the system automatically remotely controls and adjusts the environmental factor adjusting equipment according to the set parameter range so as to ensure that each index on site meets the use requirement.
Furthermore, the trend prediction module generates a curve on a user page according to the change trend of the real-time extracted on-site environmental parameters and data, introduces a prediction model for correction, completes the prediction and pre-comparison of the system operation, enhances the pre-judgment capability of the system, and completes the system operation planning in advance according to the prediction conclusion.
Furthermore, the comprehensive control strategy of the extension level comprises an overcurrent detection and trip protection strategy, a primary reclosing protection strategy, a zero current detection protection strategy, an overload protection strategy, a disconnection/voltage loss alarm protection strategy and an overvoltage protection strategy, so that the protection action of the whole system is realized, and the safety of the system is ensured.
The invention passes through the optimized utilization mode of various energy sources, and particularly, the application of the invention has the following effects:
1. the invention introduces an energy prediction and control model by combining an extensive level-based comprehensive control strategy with methods such as stepwise regression, active disturbance rejection and the like so as to improve the prediction precision. The reliability of the sensor is enhanced, the overall safety, usability and economy of the system are obviously improved, and wider possibility is provided for intelligent management of new energy.
2. In the invention, a plurality of sub-controllers are all connected with the main controller through an optical fiber transmission means to complete the processes of information exchange, information screening, information inspection, information filtering, information extraction and the like, so that an organic combination and relatively independent operation mode of main control and sub-control is formed, and when the external scenes are increased or reduced, the sub-controllers can be increased or reduced according to the object characteristics, the main controller is not influenced, and the system has better stability and expansibility.
3. The invention can ensure that the system can safely and stably run in a grid-connected mode and an isolated island mode without causing impact on a power grid according to the running characteristics and the running requirements of the energy storage device aiming at the quick switching and the hierarchical regulation of the grid-connected/isolated island running mode of the system.
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Fig. 1 is a design architecture diagram of an intelligent hierarchical extensible modular energy control system according to the present invention.
Detailed Description
The invention is described in further detail below with reference to the following figures and detailed description:
referring to fig. 1, an intelligent hierarchical scalable modular energy control system mainly includes two major parts, a main control device and a sub-control device. The system structure is composed of two cascade stage controllers, the control quality of the main parameters can be improved by setting auxiliary parameters, and the influence of interference can be reduced due to the sub-controllers, so that the load has better self-adaptive capacity when changing.
The sub-control device comprises a data acquisition module, a data communication module, a decoding execution module, a sub-controller implanted with an optimization algorithm, a sub-control regulator and the like, the sub-controller is communicated with a main controller of the main control device through an optical fiber channel, the main controller and the sub-controllers adopt a bidirectional transmission mechanism, and a control strategy and a control algorithm are arranged in the main controller and are responsible for the optimized operation and scheduling of the overall system.
Under the control of the microcontroller, a data acquisition circuit in the data acquisition module acquires data of key environmental parameters such as node position, air temperature, air humidity, radiation intensity, current, voltage, irradiation intensity and the like through a multi-channel analog sensor, digitizes analog signals through program software of the microcontroller, stores the digitized analog signals into an external data memory through I2C, and transmits the data to a network communication interface through optical fibers.
The instruction storage unit in the data communication transmission module communicates with the microcontroller through an I2C bus, so that data interaction between the main controller and the network communication interface is realized, and the data communication transmission module has the functions of data transmission, transfer, filtration and extraction, wherein the main controller and the sub-controllers jointly complete adjustment and control on the decoding execution module, and can effectively ensure accurate communication data and higher precision.
The decoding execution module is used as a terminal actuator, mainly used for receiving a control instruction sent by the data communication repeater to analyze data, and used for controlling field equipment to operate through the driving circuit, and is used as a system actuator. The system uses a low power design, and enters a sleep state when there is no instruction.
The intelligent hierarchical extension modular energy control system further comprises five functional modules which are respectively a user management module, a remote control module, an expert decision module, a trend prediction module and an extension level comprehensive control strategy.
1. The user management module is used for setting and controlling basic information of the intelligent management extension system, providing basic information for users in different levels, endowing information authorities for various users, setting management authorities for the hierarchical control system and forming a management organization framework.
2. The remote control module is used for opening or closing the on-site environmental factor adjusting equipment according to the equipment address, remotely controlling the decoding execution module, clicking the corresponding key to realize remote acquisition and remote regulation, greatly reducing the labor intensity of a user and realizing 'full-flow and visual' quantitative management and control on the operation safety, quality and progress management and control of the microgrid.
3. The expert decision module is used for setting the most reasonable parameter range according to big data operation experience, historical operation data and expert guidance experience by a user, and the system automatically remotely controls and adjusts the environmental factor adjusting equipment according to the set parameter range to ensure that each index on site meets the use requirement.
4. The trend prediction module generates a curve on a user page according to the change trend of the real-time extracted on-site environmental parameters and data, introduces a prediction model for correction, completes the prediction and pre-comparison of system operation, enhances the pre-judgment capability of the system, and completes the system operation planning in advance according to the prediction conclusion. And predicting the short-term and ultra-short-term output of the photovoltaic power generation by combining weather forecast according to the change rule of natural conditions such as weather, temperature and the like and historical data of the operation time period. In addition, the load and the power generation of the energy storage equipment can be predicted by analyzing the charge state of the energy storage battery and combining the charge and discharge constraint conditions of the energy storage equipment according to different working modes of grid connection and island of the energy storage equipment. Based on the prediction model, the load can be predicted by referring to the historical curve of the direct current load.
5. The comprehensive control strategy of an extension level mainly comprises an overcurrent detection and trip protection strategy, a primary reclosing protection strategy, a zero current detection protection strategy, an overload protection strategy, a disconnection/voltage loss alarm protection strategy and an overvoltage protection strategy, so that the protection action of the whole system is realized, and the safety of the system is ensured. An energy prediction and control model is introduced by combining an extensive level-based comprehensive control strategy with methods such as stepwise regression and active disturbance rejection so as to improve the prediction precision.
The control system adopts a cascade control structure of hierarchical regulation and control, can improve the control quality of main parameters by setting auxiliary parameters, and the sub-controllers comprise technical means such as sensing equipment, data acquisition equipment, data communication transmission equipment, implantation optimization algorithm and the like, so that the bidirectional transmission between the main controller and the sub-controllers is realized, and the main controller is internally provided with a control strategy and a control algorithm and is responsible for the optimized operation and scheduling of the overall system. Therefore, effective data sharing, platform interaction and unified management can be formed, and the energy management and scheduling level can be greatly improved.
In order to solve the intelligent operation problem of the microgrid and simultaneously improve the access performance and the adaptability of multi-scene application, the control system can be used for collecting and controlling multi-scene power generation equipment, a photovoltaic road surface, a photovoltaic seat and other power generation devices are accessed, collection and transmission are completed by arranging a photovoltaic converter and a direct current conversion device, a sensor and a sub-controller are arranged aiming at each power generation scene, the functions of bidirectional control, feedback, prediction and the like of the sub-controller and a main controller are realized, the processes of information exchange, information screening, information inspection, information filtering, information extraction and the like are completed, the stability and the expansibility are better, the effective control on the actual working condition is achieved, and the working efficiency is improved.
In summary, the present invention is not limited to the above-mentioned embodiments, and those skilled in the art can propose other embodiments within the technical teaching of the present invention, but these embodiments are included in the scope of the present invention.
Claims (8)
1. An intelligent hierarchical extensible modular energy control system comprises a main control device and branch control devices, and is characterized in that the branch control devices comprise data acquisition modules, data communication modules, decoding execution modules and branch controllers implanted with optimization algorithms, the branch controllers are communicated with a main controller of the main control device through optical fiber channels, the main controller and the branch controllers adopt a bidirectional transmission mechanism, and a control strategy and a control algorithm are arranged in the main controller and are responsible for the optimized operation and scheduling of a total system;
a data acquisition circuit in the data acquisition module acquires data of key environment parameters through a multi-channel analog sensor under the control of a microcontroller, digitalizes analog signals through program software of the microcontroller, stores the digital signals into an external data memory through I2C, and transmits the data to a network communication interface through optical fibers;
the instruction storage unit in the data communication transmission module communicates with the microcontroller through an I2C bus to realize data interaction between the main controller and the network communication interface, and has the functions of data transmission, transfer, filtration and extraction, wherein the main controller and the sub-controllers jointly complete the regulation and control of the decoding execution module to ensure the accuracy of communication data;
the decoding execution module is used as a terminal actuator and is used for receiving a control instruction sent by the data communication repeater to analyze data and controlling the operation of field equipment through the driving circuit.
2. The intelligent hierarchical extensible modular energy control system according to claim 1, wherein the key environmental parameters include node location, air temperature, air humidity, radiation intensity, current, voltage, radiation intensity.
3. The intelligent hierarchical extension modular energy control system according to claim 1, further comprising five functional modules, which are respectively a user management module, a remote control module, an expert decision module, a trend prediction module, and an extension level comprehensive control strategy.
4. The intelligent hierarchical extension modular energy control system according to claim 3, wherein the user management module is configured to set and control basic information of the system, provide basic information for users of different levels, give information authorities to a plurality of users, set management authorities for the system, and form a management organization framework.
5. The intelligent hierarchical scalable modular energy control system according to claim 3, wherein the remote control module remotely controls the decoding execution module to open or close the on-site environmental factor adjusting device according to the device address so as to realize remote acquisition and remote regulation.
6. The intelligent hierarchical extension modular energy control system according to claim 3, wherein the expert decision module is used for setting a reasonable parameter range according to big data operation experience, historical operation data and expert guidance experience by a user, and the system automatically remotely controls and adjusts the environmental factor adjusting equipment according to the set parameter range to ensure that each index on site meets use requirements.
7. The intelligent hierarchical extension modular energy control system according to claim 3, wherein the trend prediction module generates a curve on a user page according to the change trend of the real-time extracted on-site environmental parameters and data, introduces a prediction model for correction, completes prediction and pre-comparison of system operation, enhances the pre-judgment capability of the system, and completes system operation planning in advance according to a prediction conclusion.
8. The intelligent hierarchical scalable modular energy control system according to claim 3, wherein the scalable level comprehensive control strategy comprises an overcurrent detection and trip protection strategy, a primary reclosing protection strategy, a zero current detection protection strategy, an overload protection strategy, a disconnection/voltage loss alarm protection strategy and an overvoltage protection strategy, and realizes protection actions on the whole system to ensure system safety.
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