高新技术助力新能源发电系统高质量运行

Group 1: Electric Automation Technology - Electric automation technology integrates multiple disciplines such as electronic technology, computer technology, and control technology, characterized by intelligence, efficiency, networking, and environmental protection, which is crucial for the high-quality operation of new energy generation systems [1] Group 2: Optimization of Energy Storage Systems - Power companies can enhance the stability and reliability of energy storage systems by implementing Model Predictive Control (MPC) algorithms, which predict photovoltaic power generation changes based on real-time solar intensity [2] - The application of reinforcement learning in the charging and discharging processes of energy storage systems can optimize control strategies to improve stability and reliability [2] - When determining the capacity of energy storage devices, historical generation data should be analyzed to understand the maximum, minimum, and fluctuation ranges of power generation, ensuring that energy storage systems can meet load demands during low generation periods [2] Group 3: Smart Grid Technology - Smart grids are modernized power networks built on integrated, high-speed bidirectional communication networks, incorporating advanced sensing, measurement, and control technologies [3] - Distribution automation systems based on electric automation technology can utilize smart meters and distributed sensors to collect real-time operational data, enabling intelligent operation and management of the distribution network [3] - Automation systems in substations allow remote operation and control of equipment, improving accuracy and efficiency while reducing safety risks associated with human error [3] Group 4: Energy Management Systems (EMS) - Energy Management Systems (EMS) are core control systems for grid operations, and optimizing them through electric automation technology significantly enhances the management capabilities of new energy generation and grid loads [4] - High-precision power sensors and high-speed communication networks enable real-time monitoring of new energy generation output, allowing for in-depth data analysis [4] - Intelligent algorithms and model predictive control techniques can optimize scheduling strategies, balancing new energy and traditional energy generation proportions [4] Group 5: Intelligent Diagnosis and Maintenance of Generation Equipment - The use of IoT technology in solar power plants allows for real-time monitoring of key equipment parameters, aiding in quick fault diagnosis and response [5] - Wind power plants can monitor operational parameters of wind turbines, enabling remote control and health monitoring of critical components [5] - Preventive maintenance plans should be developed based on health and fault prediction models, incorporating regular inspections and equipment maintenance to reduce failure rates and costs [5][6]