Optical storage multi-mode control method

The multi-modal control method addresses PV and energy storage inefficiencies by integrating data fusion, fuzzy logic, and Lyapunov stability switching, enhancing system adaptability and efficiency.

CN120320401APending Publication Date: 2025-07-15ZHEJIANG XINNENG PHOTOVOLTAIC TECH CO LTD
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Patent Information

Application Number
CN202510529860.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-25
Publication Date
2025-07-15

AI Technical Summary

Technical Problem

The existing photovoltaic power generation systems have intermittent and volatility due to factors such as light intensity and weather. Traditional control methods cannot adapt to the fluctuations in the power grid price and sudden load changes, resulting in system power imbalance, low energy utilization, and insufficient economicality.

Method used

Multi-source data fusion, fuzzy logic modal division, model prediction control and Liyapunov stability switching logic are adopted to realize the adaptive and efficient operation of the optical storage system under complex operating conditions. Through real-time data acquisition, fuzzy logic modal division, model prediction control and stability switching logic, the power distribution and mode switching between photovoltaic and energy storage systems are optimized.

Benefits of technology

It improves the economy and stability of the optical storage system under complex operating conditions, reduces the cost of power purchase, improves the energy utilization rate and system response speed, and ensures stable power supply to the power grid.

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Abstract

The invention provides an optical storage multi-mode control method. The optical storage multi-mode control method comprises the following steps of 1, collecting multi-source data of photovoltaic output, energy storage SOC, load requirements and electricity price signals in real time; 2, dividing operation modes based on fuzzy logic, such as an economic mode, an emergency power supply mode and a peak value adjustment mode; 3, generating an optimal power distribution strategy in each mode through model predictive control (MPC); and step 4, designing a mode switching logic based on Lyapunov stability to realize non-impact transition, and relates to the technical field of photovoltaic power generation and energy storage system cooperative control, and through multi-source data fusion, fuzzy logic mode division, model prediction control and the Lyapunov stability switching logic, the mode switching logic based on the Lyapunov stability is realized. Self-adaptive efficient operation of the optical storage system under complex working conditions is achieved, the problems that a traditional control method is single in mode, lagged in response and low in energy utilization rate are solved, and the method is suitable for improving the economical efficiency and stability of the optical storage system.
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