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河海大学华昊辰:“混合储能 + AI 调控”赋能高原铁路牵引供电绿色升级
Core Viewpoint - The integration of solar, wind, hydrogen, and energy storage systems provides a viable solution for railway traction power supply in remote and challenging environments, addressing the unique demands of fluctuating loads and harsh conditions [1] Group 1: Energy System Solutions - The combined energy system is particularly suited for high-altitude, cold regions with weak grids and abundant wind and solar resources [1] - Traditional energy storage solutions are inadequate for the variable loads experienced by railway systems, necessitating a hybrid approach that combines electric and hydrogen storage [1] Group 2: Technological Innovations - The system exhibits nonlinear and stochastic characteristics, making traditional modeling and optimization methods ineffective [1] - A deep reinforcement learning algorithm, improved through course learning, is proposed for precise control of the energy system [1] Group 3: Market and Policy Implications - Establishing a unified national electricity spot market with a responsive pricing mechanism is crucial for promoting the adoption of this energy system [1] - This approach is essential for supporting the construction of a new power system and achieving carbon neutrality goals [1]