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CN-121983937-A - Light Chu Zhi flexible control method and system for multi-mode data fusion and dynamic mapping

CN121983937ACN 121983937 ACN121983937 ACN 121983937ACN-121983937-A

Abstract

The invention relates to the technical field of optical storage direct-soft system control, and provides a multi-mode data fusion and dynamic mapping optical Chu Zhi soft control method and system, wherein natural language instruction information and system running state data input by a user are acquired in a control period, natural language instructions are analyzed to extract control demand parameters, and the running state data are subjected to state coding to generate system state parameters; the method comprises the steps of generating a unified control parameter set based on control demand parameters and system state parameters, determining target function weight parameters and operation constraint parameters required by model predictive control according to the unified control parameter set, carrying out rolling optimization calculation on a photovoltaic power generation unit, an energy storage unit and a flexible load under the constraint of the target function weight parameters and the operation constraint parameters, generating energy scheduling control quantity, forming a control instruction after safety verification, issuing and executing the control instruction, and updating the corresponding relation of the control parameters according to the execution result of the control instruction. The operation safety of the light storage straight-flexible system is improved.

Inventors

  • WANG JICHANG
  • KONG XIANGBIN
  • HUANG RUIYANG
  • LIU KUNPENG

Assignees

  • 云南兆讯科技有限责任公司

Dates

Publication Date
20260505
Application Date
20251231

Claims (10)

  1. 1. The light Chu Zhi flexible control method for multi-mode data fusion and dynamic mapping is characterized by comprising the following steps of: S1, collecting natural language instruction information input by a user and running state data of an optical storage direct-soft system in a preset control period; s2, carrying out instruction analysis processing on the natural language instruction information, extracting control requirement parameters representing control intention of a user, carrying out state coding processing on the running state data, and generating system state parameters representing the running state of the system; s3, generating a unified control parameter set according to a preset parameter corresponding relation based on the control demand parameter and the system state parameter in the same control period; s4, calling a preset control parameter corresponding relation based on the unified control parameter set, and determining an objective function weight parameter and an operation constraint parameter required by model prediction control; s5, under the limitation of the weight parameters of the objective function and the operation constraint parameters, adopting a model prediction control mode to perform rolling optimization calculation on the photovoltaic power generation unit, the energy storage unit and the flexible load, and generating an energy scheduling control quantity in the current control period; s6, carrying out safety verification on the energy scheduling control quantity, generating a corresponding control instruction after verification is passed, and transmitting the control instruction to the photovoltaic power generation unit, the energy storage unit and the flexible load for execution; and S7, generating feedback information based on an execution result of the control instruction, and correcting or updating the parameter values in the corresponding relation of the control parameters on the premise of keeping the operation constraint parameter structure unchanged.
  2. 2. The method for flexibly controlling the light Chu Zhi by multi-mode data fusion and dynamic mapping according to claim 1, wherein the operation state data in the step S1 at least comprises one or more of output power of a photovoltaic power generation unit, charge state of an energy storage unit, current power of a flexible load and operation parameters of an external power grid, and the operation state data is periodically collected according to a control period and is accompanied with time stamp information during collection.
  3. 3. The method for flexibly controlling the light Chu Zhi by multi-modal data fusion and dynamic mapping according to claim 1, wherein the natural language instruction information in S1 includes instruction information formed by a user through a voice input or text input mode, and the voice instruction in the voice input mode is converted into instruction information in a text form after being processed through voice recognition.
  4. 4. The method for flexibly controlling light Chu Zhi by multi-modal data fusion and dynamic mapping as set forth in claim 1, wherein the step of generating a unified control parameter set in S3 includes performing fusion processing on different parameters by using preset weights according to validity of the control requirement parameter and the system state parameter.
  5. 5. The method for flexibly controlling light Chu Zhi by multi-modal data fusion and dynamic mapping as claimed in claim 1, wherein the control parameter correspondence in S4 is established with the control requirement type and the system running state interval as indexes, and is used for mapping different control requirement parameters into corresponding objective function weight parameter combinations.
  6. 6. The method for flexibly controlling the light Chu Zhi by multi-modal data fusion and dynamic mapping as claimed in claim 1, wherein the operation constraint parameters in S4 include at least energy storage unit charge-discharge power constraint, energy storage unit state of charge upper limit constraint, energy storage unit state of charge lower limit constraint and adjustable power range constraint of flexible load.
  7. 7. The method for soft control of light Chu Zhi with multi-modal data fusion and dynamic mapping as claimed in claim 1, wherein the model predictive control in S5 outputs the control amount of the current period in each control period, and keeps or smoothly transits the control amount between adjacent control periods to avoid abrupt change of control instructions.
  8. 8. The method for flexibly controlling the light Chu Zhi by multi-mode data fusion and dynamic mapping according to claim 1, wherein the step S6 of safety check comprises comparing the operation parameters corresponding to the control instruction with rated operation parameters of the photovoltaic power generation unit, the energy storage unit and the flexible load to prevent the control instruction from exceeding the allowable operation range of the device.
  9. 9. The method for flexibly controlling the light Chu Zhi by multi-mode data fusion and dynamic mapping according to claim 1, wherein the feedback information in S7 at least includes system operation state change information and energy scheduling result information, and is output to the user in text or voice form.
  10. 10. Light Chu Zhi flexible intelligent control system based on multi-mode data fusion and dynamic mapping, which is characterized by comprising: The multi-mode data acquisition module is configured to acquire natural language instruction information input by a user and running state data of the optical storage direct-soft system in a preset control period; The parameter processing module is connected with the multi-mode data acquisition module and is configured to analyze the natural language instruction information and generate control demand parameters, and perform state coding on the running state data and generate system state parameters; The control parameter generation module is connected with the parameter processing module and is configured to generate a unified control parameter set based on the control demand parameter and the system state parameter, and determine an objective function weight parameter and an operation constraint parameter required by model predictive control; The model prediction control module is connected with the control parameter generation module and is configured to generate energy scheduling control quantity under the limitation of the weight parameter of the objective function and the operation constraint parameter; The execution control module is connected with the model prediction control module and is configured to carry out safety check on the energy scheduling control quantity and generate a control instruction; and the feedback module is connected with the execution control module and is configured to generate feedback information based on an execution result of the control instruction and update the parameter values in the corresponding relation of the control parameters.

Description

Light Chu Zhi flexible control method and system for multi-mode data fusion and dynamic mapping Technical Field The invention relates to the technical field of optical storage direct-soft system control, in particular to an optical Chu Zhi soft control method and an optical Chu Zhi soft control system for multi-mode data fusion and dynamic mapping. Background With the development of distributed energy sources and novel power systems, a light Chu Zhi flexible system integrating photovoltaic power generation, an energy storage device, direct current power distribution and flexible loads is gradually applied to energy management scenes at parks, buildings and user sides. The system realizes local energy consumption, peak-valley adjustment and operation cost optimization through the cooperative operation of a plurality of energy units, and has important significance for improving the energy utilization efficiency and the operation stability of a power grid. In the existing application, the control mode of the optical storage direct-soft system is mostly dependent on a preset control program, a graphical configuration interface or parameter setting by professionals, manual intervention is usually required for adjusting a control strategy in the running process of the system, and the problems of high operation threshold, insufficient strategy switching flexibility and the like exist. In recent years, a part of photovoltaic direct-flexible system introduces an energy management mode based on a rule or model predictive control (ModelPredictiveControl, MPC), and performs coordinated control on photovoltaic output, energy storage charge and discharge power and load energy through a preset control objective function and operation constraint. However, in the actual running process, the light storage straight-flexible system is influenced by factors such as illumination conditions, load changes, electricity price fluctuation and the like, and the running working condition has obvious timeliness. Meanwhile, users have differences in the focus of economy, energy supply stability or equipment protection at different operation stages. The existing control mode mostly adopts a fixed or limited optional parameter configuration scheme, mainly depends on experience setting or scene switching, and is difficult to flexibly respond to the change of the control requirement of a user on the premise of ensuring the safe operation of the system. In addition, the man-machine interaction mode of the existing light Chu Zhi flexible control system is relatively single, and the control requirement usually needs to be converted into specific parameters to act on the system to operate, so that the use complexity of the system is increased. On the other hand, the model predictive control is used as a mature optimization control method, and the control effect of the model predictive control is greatly dependent on reasonable configuration of the weight parameters and the operation constraint parameters of the objective function. Under different operation scenes, the weight requirements of each control target in the objective function are different, and related parameters in the prior art are mostly adjusted by adopting fixed configuration or based on experience, so that a mechanism capable of combining the user control requirements and the system operation state to dynamically adjust the control parameters is lacked. Therefore, it is necessary to provide a method and a system for flexibly controlling the light Chu Zhi with multi-mode data fusion and dynamic mapping, so as to solve the problems in the prior art. Disclosure of Invention The invention aims to solve the defects of the prior art and provides a light Chu Zhi flexible control method for multi-mode data fusion and dynamic mapping so as to solve the problems in the background art. In order to achieve the above purpose, the present invention adopts the following technical scheme: a light Chu Zhi flexible control method for multi-mode data fusion and dynamic mapping comprises the following steps: S1, collecting natural language instruction information input by a user and running state data of an optical storage direct-soft system in a preset control period; s2, carrying out instruction analysis processing on the natural language instruction information, extracting control requirement parameters representing control intention of a user, carrying out state coding processing on the running state data, and generating system state parameters representing the running state of the system; s3, generating a unified control parameter set according to a preset parameter corresponding relation based on the control demand parameter and the system state parameter in the same control period; s4, calling a preset control parameter corresponding relation based on the unified control parameter set, and determining an objective function weight parameter and an operation constraint parameter required by mod