Global First: The Fully AI Agent MCP Protocol Supported Energy Management System (EMS) from Weiheng Smart Leads the New Era of Energy AI
Industry Background: The Integration Trend of Energy Storage Intelligence and AI
Recently, Weiheng Smart officially launched the world’s first full-stack AI energy storage solution based on the MCP (Model Communication Protocol). This marks a significant milestone in the company’s innovation within intelligent energy system architecture. As the energy transition accelerates, energy storage has become a crucial technology for balancing power supply and demand while enhancing flexibility. Traditional energy storage management is evolving towards intelligence, leveraging artificial intelligence (AI) for more precise control and optimization. For instance, by utilizing AI to predict load and renewable energy output, energy storage systems can proactively adjust their dispatch strategies, thereby reducing electricity costs and ensuring grid stability. Moreover, business models such as Virtual Power Plants (VPP) require the aggregation of dispersed energy storage and generation resources for unified scheduling, making real-time decision-making and adaptive optimization essential.
The emergence of new communication protocols is paving the way for AI-enabled energy storage. Recently, the MCP protocol has garnered significant attention in the industry. It provides a unified interface that allows terminal AI models to securely and efficiently connect with various local or cloud tools and data sources, offering unprecedented scalability for energy management. The future of energy storage EMS will undoubtedly be deeply integrated with AI, interconnecting with a broader digital ecosystem and ushering in a new intelligent era of energy management.
PANGU EMS System Highlights
As Weiheng Smart’s core product, the PANGU EMS harnesses the company’s cutting-edge technology in energy storage intelligent control. The PANGU EMS features uninterrupted 24/7 monitoring, enabling real-time collection and analysis of power plant operating statuses. Coupled with intelligent scheduling algorithms, it optimizes the coordinated operation of various energy systems (such as photovoltaics, energy storage, charging stations, and grids). Additionally, the system automatically adjusts battery charge and discharge strategies based on electricity load and pricing signals, helping users manage peak shaving and valley filling while enhancing self-consumption rates. The key highlights can be summarized as “full cycle, multi-scenario, intelligent, and cloud-extendable”:
- Full lifecycle management covering the entire process from design deployment, real-time operation to maintenance.
- Operational personnel can monitor the health status of power plants anytime and anywhere via a visual interface and mobile app, receiving alerts and performing remote configurations.
- Highly flexible, PANGU EMS is applicable in residential, commercial microgrids, and large grid-side energy storage scenarios. Its modular architecture supports on-demand system expansion and is compatible with various types of batteries and inverters, enabling plug-and-play functionality.
- AI-driven optimization: The system includes built-in AI algorithm models supporting load prediction, photovoltaic generation forecasting, and price forecasting, providing data support for scheduling decisions. Utilizing pattern recognition and machine learning, it enhances operational safety and reliability through anomaly detection and fault alerts.
- Cloud-edge collaboration: With Weiheng’s proprietary cloud platform, PANGU EMS combines local rapid response with cloud-based intelligent analysis. Key instructions are executed at the edge, while the cloud conducts deep mining of vast historical data to iteratively optimize scheduling strategies, allowing integration with third-party energy management platforms for added value.
MCP Protocol: The Universal Interface of the AI Era
As AI plays an increasingly vital role in energy storage scheduling, efficiently integrating various AI tools and data sources with EMS systems becomes critical. The Model Communication Protocol (MCP) offers an unprecedented solution to this challenge. Simply put, MCP serves as a “universal interface” in the AI realm, providing a standardized connection for AI applications to different data sources and tools. Through MCP, AI assistants can securely access external services without being constrained by traditional, rigid API integration methods. MCP adheres to a client-server architecture and consists of three main components: Host, Client, and Server. The Host represents the host running the AI application (e.g., the EMS system), the Client communicates with the MCP Server, while each MCP Server encapsulates specific functions or accesses particular data. The capability exchange mechanism of MCP is highly flexible, allowing Servers to update their available functionalities without requiring modifications to the Client’s code, significantly reducing integration costs for new tools.
For the energy storage industry, MCP enables EMS systems to easily integrate the latest AI models and services, facilitating various expanded functionalities—from optimizing dispatch strategies to fault diagnostics, user interactions, and global collaboration—without waiting for vendors to develop specific interfaces. Consequently, MCP is regarded as a milestone innovation in AI-enabled energy applications.
Pioneering MCP Support: PANGU EMS Builds Open AI Integration Capabilities
Foreseeing the potential of the MCP protocol, Weiheng Smart has taken the lead in the industry by fully integrating MCP into the PANGU EMS system. As a result, PANGU EMS now possesses an open AI interface that allows seamless integration with various AI tools and platforms adhering to MCP standards, transforming previously “isolated” energy storage systems into infinitely expandable intelligent hubs. Currently, PANGU EMS can interface with several mainstream AI tools via MCP:
- Cursor, an innovative AI-assisted programming tool that offers automated code generation and script optimization, aiding rapid algorithm iteration and upgrades in PANGU EMS.
- Deepseek, a leading Chinese large model platform suitable for natural language processing and analysis, such as analyzing electricity market policy texts to assist decision-making.
- Dify, an open-source AIGC application development framework that can create customized AI applications for users, like intelligent energy consumption analysis report generators.
- RAGFlow provides enterprise-level knowledge retrieval and Q&A services, enabling PANGU EMS to access vast energy big data for intelligent retrieval and inquiry of historical operational data.
- LangChain, one of the most popular large model development frameworks, can flexibly orchestrate multiple models to provide multi-step intelligent analysis for dispatch decisions.
- Google AI, a global leader in the AI field, allows PANGU EMS to utilize its machine learning and forecasting APIs to optimize photovoltaic-storage system dispatch and conduct fault monitoring.
By supporting these mainstream AI tools, PANGU EMS has created an open and integrated intelligent ecosystem. The system can flexibly employ different AI capabilities as needed: optimizing algorithms with programming AI, guiding energy storage dispatch with forecasting AI, or conducting knowledge base inquiries using retrieval AI. Thanks to the standardization of MCP, customers need not worry about the complexities of integration and can fully enjoy the benefits of the latest AI technologies.
Application Case: AI Intelligent Scheduling Enabled by MCP in Industrial Park Photovoltaic-Storage Microgrid
Intelligent scheduling in a photovoltaic-storage microgrid at an industrial park is a typical mature case. In the past, scheduling engineers had to manually create battery charge and discharge plans. Now, PANGU EMS, leveraging MCP, accesses professional weather forecasting and load prediction models to automatically acquire detailed meteorological data and electricity load prediction curves daily, optimizing battery charge and discharge strategies based on comprehensive pricing information. When battery temperature anomalies or other risks arise, the system can provide real-time possible fault causes and solutions through integration with fault diagnosis AI, significantly enhancing maintenance efficiency and operational safety. Multiple energy storage stations equipped with PANGU EMS can form a virtual power plant cluster. When the grid urgently needs peak shaving, the AI commands the energy storage cluster to respond within milliseconds, ensuring grid balance while generating considerable revenue. This “AI + Energy Storage” model imbues energy flow with intelligence, enabling proactive perception, prediction, and scheduling. Whether it’s peak shaving for commercial users or operational safety and frequency modulation required by the grid, PANGU EMS effectively meets these needs, delivering tangible benefits to customers.
Technological Innovation and Industry Leadership
Continuous technological innovation is key to Weiheng Smart’s position at the forefront of the industry. The company has made significant advancements in artificial intelligence, the Internet of Things, and cloud platforms, establishing a robust cloud management platform and collaborating with institutions like Fudan University and the Shanghai Electric Power Research Institute to set up R&D centers and energy AI laboratories in Shanghai. This ongoing collaboration allows for rapid implementation of cutting-edge machine learning algorithms into products. As one of the few companies possessing core technologies in energy storage software and hardware, Weiheng Smart is charged with the mission to lead industry development. From being the first to launch an EMS system supporting the MCP protocol to building an integrated AI smart energy cloud platform, the company is consistently at the forefront of innovation. Through continuous R&D and practice, Weiheng Smart demonstrates the vast potential of intelligent energy storage to the industry and actively participates in formulating technical standards that drive the entire energy storage sector’s upgrade.
Looking to the future, Weiheng Smart will deepen its technical investments in AI, big data analysis, and cloud-edge collaboration. One of the company’s visions is to enable energy storage systems to have a powerful application ecosystem and intelligent brain, steering the energy sector into a new era of digitalization and intelligence. Given the backdrop of “carbon neutrality” and the construction of a new power system, the outlook for Weiheng Smart’s sector is promising. The company has already built a solid reputation through exceptional products and first-mover advantages, and as large-scale capacity is released and global expansion progresses, its growth potential will become even more evident. In the future, Weiheng Smart will continue to lead the intelligent energy storage industry, becoming a frontrunner in the AI + energy era, creating dual value for investors and society—yielding commercial returns while promoting green transformation in the energy sector.
Conclusion
The energy storage industry is at a critical juncture, transitioning from quantitative to qualitative change. With the pioneering practices of the PANGU EMS system, Weiheng Smart stands at the industry’s forefront. Currently, the MCP protocol bridges the gap between energy storage and next-generation AI technologies, making AI-driven energy storage technologies and services a reality. Throughout this significant process, Weiheng Smart is committed to creating a series of products driven by AI intelligent agent matrices and large models, encompassing assessments of battery health status, lifespan predictions, and optimal matching of energy storage technologies with diverse scenarios to promote the achievement of ambitious carbon neutrality goals. In the future, Weiheng Smart will collaborate with global customers, partners, and investors, leveraging the robust momentum of artificial intelligence to accelerate comprehensive and deep transformation of the energy storage industry. On this grand journey of technological empowerment, the company remains steadfast, utilizing its extraordinary innovative strength and unwavering determination to create a cleaner, more efficient, and better energy future for the world.
