Patent Granted for Blockchain-Based Source-Grid-Load-Storage Control Method and System

Patent Granted for Blockchain-Based Source-Grid-Load-Storage Control Method and SystemOn December 10, 2024, the State Intellectual Property Office of China announced the public disclosure of a patent application (CN119093504A) filed by Beijing Ruizhide Information Technology Co., Ltd

Patent Granted for Blockchain-Based Source-Grid-Load-Storage Control Method and System

On December 10, 2024, the State Intellectual Property Office of China announced the public disclosure of a patent application (CN119093504A) filed by Beijing Ruizhide Information Technology Co., Ltd. The patent, titled "A Blockchain-Based Source-Grid-Load-Storage Control Method and System," was filed in November 2024. This invention provides a novel source-grid-load-storage control solution leveraging blockchain technology to enhance energy management efficiency and prediction accuracy, promising significant improvements in energy system stability and reliability.

The patent abstract details its core technology and processes. First, the system collects historical electricity consumption data from the load side and combines it with environmental factor analysis to establish a correlation function representing the impact of environmental factors on electricity consumption. This is crucial for laying a solid foundation for precise load forecasting. By analyzing the correlation between historical data and environmental factors, the system can more accurately predict future electricity demand.

Second, the system utilizes the collected historical electricity consumption data and the established correlation function to construct a precise load forecasting model. This model is not a simple linear prediction but comprehensively considers various factors, including historical electricity consumption and the influence of environmental factors such as temperature. This combined prediction method, based on historical data and environmental factors, significantly improves prediction accuracy and reduces prediction errors compared to traditional methods. The prediction results directly influence subsequent energy scheduling and control strategies.

For finer control of the energy system, the patent also includes a calculation of electricity transmission losses during the grid transmission process. This calculation method ensures accurate computation based on the specific type of power grid, maximizing energy utilization efficiency. This demonstrates the completeness and practicality of the patented technology, as reducing energy waste is key to improving energy efficiency.

Furthermore, the system collects real-time critical data, such as generation power from the generation side, total energy storage, and current energy storage from the energy storage side. This data serves as an important basis for system state regulation. Through real-time monitoring of generation power and energy storage status, the system can dynamically schedule and control energy based on load forecast results and actual grid conditions. This real-time adjustment capability effectively handles unexpected events and ensures the stable operation of the energy system.

The patent's core competitive advantage lies in its historical data-based prediction model. This model is not a simple linear regression but incorporates multiple factors, including historical electricity consumption data and the influence of environmental factors. By analyzing patterns and trends in historical data and considering environmental fluctuations, the system can more accurately predict future electricity demand. Notably, the prediction method utilizes a combination of base electricity consumption and temperature-influenced electricity consumption fluctuations, further enhancing prediction accuracy. The establishment of this prediction model is key to the effective operation of the entire system.

This blockchain-based source-grid-load-storage control method and system offers significant advantages over traditional energy management systems. First, blockchain technology ensures data security and reliability, preventing data tampering and loss crucial for energy systems where data accuracy directly impacts stability. Second, blockchain technology enhances transparency and traceability in energy management, facilitating monitoring and management by various stakeholders. Finally, blockchain technology promotes energy trading and sharing, improving energy utilization efficiency.

The patent technology has broad application prospects. It can be applied in smart grids, smart cities, and other fields to improve energy utilization efficiency, reduce waste, and ensure energy security. Especially in the face of increasingly complex energy demands and environmental challenges, this technology provides strong technical support for building more efficient, stable, and reliable energy systems.

In conclusion, the patent application by Beijing Ruizhide Information Technology Co., Ltd. for "A Blockchain-Based Source-Grid-Load-Storage Control Method and System" represents a significant technological innovation. It utilizes blockchain technology and advanced data analysis methods to achieve intelligent control of energy systems, offering substantial economic and social benefits. The successful development and application of this technology will make a significant contribution to the sustained and healthy development of China's energy industry. The proposed prediction model, combining historical data and environmental factors, along with the precise calculation of power grid transmission losses, highlights the technology's advantages in improving energy efficiency and ensuring energy system stability. Future development may focus on further improving prediction model accuracy and exploring more application scenarios to maximize the technology's potential. The granting of this patent marks a new breakthrough in technological innovation in China's energy sector and provides new pathways for building more intelligent and efficient energy systems. We look forward to the rapid application of this technology to make even greater contributions to China's energy industry.