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"AI+长时储能"赋能电力系统,如何提升城市能源韧性?
Nan Fang Du Shi Bao·2025-09-22 08:37

Core Viewpoint - Long-duration energy storage, particularly all-vanadium flow batteries, is becoming essential for building resilient urban energy systems amid the acceleration of energy transition and the dual carbon goals [1][2][3] Group 1: Industry Context - The global energy transition is entering a critical phase, with renewable energy sources like wind and solar being integrated at large scales, leading to increased uncertainty and volatility in grid operations [2] - China's new energy storage capacity accounts for over 40% of the global total, but a significant long-duration storage gap remains, necessitating the deployment of up to 46 terawatt-hours of storage capacity by mid-century to achieve carbon neutrality [2][3] Group 2: Technology Advantages - All-vanadium flow batteries are recognized for their advantages, including over 20,000 cycles, a lifespan exceeding 20 years, inherent safety due to water-based electrolytes, and capacity that does not degrade [3][4] - In contrast, lithium-ion batteries, while dominant in short-duration applications, face limitations in long-duration storage due to a typical cycle life of around 2,000 cycles and significant performance degradation after 2-3 years [3] Group 3: Economic and Operational Benefits - A proposed "urban user-side all-vanadium flow battery + transmission network collaborative planning" approach can significantly reduce the need for new transmission lines, with total costs decreasing by 17% even when accounting for storage investments [3][4] - This approach can mitigate the risks of power outages caused by high renewable energy integration and reduce the costs associated with curtailing wind and solar energy by nearly 40% [3][4] Group 4: Future Outlook - The application of all-vanadium flow batteries is expected to transform urban energy systems from passive to active regulation, enhancing grid adaptability and reliability [4] - The integration of AI, big data, and digital twin technologies is anticipated to facilitate the intelligent management of energy systems, thereby providing resilience support for new power systems [7]