Core Viewpoint - The article discusses the increasing importance and functionality of virtual power plants in Shanghai, particularly during peak electricity demand periods caused by cold weather, highlighting their role in balancing supply and demand while providing economic benefits to participating companies [1][2]. Group 1: Virtual Power Plant Functionality - Virtual power plants aggregate distributed energy resources such as solar, storage, and adjustable loads to achieve coordinated control, enabling functions like generation, peak shaving, and frequency regulation [1][2]. - The system developed by China Mobile Shanghai Industrial Research Institute and Zhejiang Datang allows for intelligent scheduling of dispersed industrial power loads and storage, significantly enhancing the efficiency of electricity management [2][3]. Group 2: Technological Advancements - The integration of AI and 5G technologies has accelerated the development of virtual power plants, enabling Shanghai to achieve a power dispatch capacity equivalent to a medium-sized physical power plant during the summer of 2025 [2][3]. - An AI-driven prediction algorithm has been developed to improve load forecasting accuracy, achieving a real-time prediction error of less than 3% and a long-term market price prediction accuracy exceeding 85% [3]. Group 3: Economic Impact on Participating Companies - Companies participating in the virtual power plant model have transitioned from a passive electricity usage model to an active profit-generating model, receiving subsidies and reducing electricity costs [3][4]. - The virtual power plant has expanded its network to cover multiple regions, attracting over 80 industrial enterprises, which enhances the overall stability and efficiency of the electricity grid [3][4]. Group 4: Future Development and Recommendations - Experts suggest further integration of AI, digital twin technology, and edge computing to enhance load forecasting precision and decision-making speed within virtual power plants [4]. - There is a call for the establishment of a collaborative intelligent control architecture and increased support for technological innovation to foster a win-win industrial ecosystem [4]. Group 5: Overall Contribution to Energy Transition - The virtual power plant is seen as a crucial element in supporting energy transition and ensuring stable urban operations, contributing significantly to the invisible dynamics of electricity supply in Shanghai [5].

Core Insights - The article discusses the operational readiness of virtual power plants in Shanghai as the city faces a peak electricity demand due to a cold wave in 2026, highlighting the proactive measures taken by energy companies to manage power supply shortages [1][2]. Group 1: Virtual Power Plant Operations - Virtual power plants aggregate distributed energy resources such as solar, storage, and adjustable loads to provide coordinated control and support grid stability [1][2]. - The collaboration between China Mobile Shanghai Industrial Research Institute and Zhejiang Datang has led to the development of a comprehensive virtual power plant management system, leveraging 5G technology [2][3]. Group 2: Technological Advancements - The virtual power plant system utilizes AI-driven predictive algorithms to enhance load forecasting accuracy, achieving a real-time prediction error of less than 3% and a long-term price prediction accuracy exceeding 85% [3][4]. - The integration of various data sources, including meteorological and economic data, has improved the operational efficiency of the virtual power plant, allowing for better resource allocation and demand response [3][4]. Group 3: Market Impact and Benefits - Over 80 industrial enterprises have joined the virtual power plant network, transitioning from a passive electricity consumption model to an active participation model that allows them to earn subsidies and reduce costs [3][4]. - The article emphasizes the potential of virtual power plants to balance grid load fluctuations, support renewable energy integration, and optimize energy resource allocation, contributing to energy transition and urban stability [4].