Market trend
Market Trend: With the rapid growth of the new energy industry and the ongoing energy revolution, energy storage has become a crucial factor in the future energy system. It has gained significant attention as a key technology that will shape the future energy landscape. Energy storage plays a vital role in ensuring safe, stable, and efficient operation of energy systems, improving overall energy utilization efficiency, promoting the development of new energy industries, and facilitating energy strategic transformations. Its applications span across the power system, encompassing power generation, transmission, distribution, and end-user sectors.
Energy Management System (EMS):
The Energy Management System (EMS) acts as the brain of an energy storage system, enabling safe and optimal energy scheduling. Yantai Delian Software Co., Ltd. is a pioneer in China in the development of energy storage EMS. Their Delian Energy Storage EMS has been successfully applied in numerous energy storage projects of various scales worldwide, providing them with rich practical experience and unique algorithms. The system addresses various challenges such as wind curtailment, load instability, and peak-to-valley price differences by optimizing energy storage control, distributed power output, and load switching. It ensures safe, economical, and efficient energy management across different application scenarios (power supply side, grid side, user side), as well as ancillary services, in different operating modes.
Customer Pain Points:
- Insufficient monitoring content: Current monitoring methods often fail to capture targeted data and fully explore the characteristics of different battery types, resulting in insufficient monitoring content.
- Slow response time: Existing monitoring structures do not meet control requirements across different time scales, leading to slow response times and non-compliance with assessment standards.
- Unscientific management and control methods: Control methods lack optimization algorithms for power regulation, energy management, and overall life cycle management of energy storage equipment, resulting in ineffective control methods.
- Incomplete analysis results: Monitoring data lacks comprehensive planning and management, hindering the generation of holistic operating data, systematic planning, control, and comprehensive analysis, thus lacking adequate support from big data for operation and maintenance.
Solutions: To address the above challenges, the following solutions are proposed:
Construction Goals:
- Establish a power station monitoring system for real-time monitoring of power station operations.
- Implement a reliable and stable data storage mechanism to ensure data safety and integrity.
- Create a real-time, reliable, and comprehensive data collection system.
- Establish a robust safety monitoring mechanism for accurate remote control and adjustment operations.
- Develop an energy dispatch management system for optimal energy storage lifecycle management and energy dispatch.
Design Principles:
- Advanced and forward-looking system design to align with future development trends.
- Openness to support interoperability between different systems and provide third-party data interface services.
- Security considerations with a complete security architecture to prevent vulnerabilities.
- Scalability to accommodate future expansion needs.
- Compliance with industry standards and norms.
- Reliability and stability by ensuring robustness in software and hardware components.
Functional Value:
- Efficient project implementation through tools such as graphics configuration, template management, database management, and algorithm configuration.
- Panoramic monitoring with comprehensive data acquisition, real-time alarms, support for remote operations, and real-time big data analysis.
- Intelligent scheduling for increased revenue through unique power regulation and energy management optimization algorithms, extending system service life, reducing costs, and increasing profits.
- Intelligent inspection using AI and big data analysis combined with professional diagnosis, facilitating intelligent operation and maintenance of energy storage power stations and extending system lifespan.
System Functions:
- General interface for overall information monitoring, including system frequency, energy storage SOC, energy storage status, load information, power quality, and other relevant data and parameters.
- Real-time monitoring of primary wiring diagram, energy storage room, PCS (Power Conversion System), BMS (Battery Management System), battery cells, air conditioning and fire monitoring, and SVG (Static Var Generator).
- Coordinated control for various operating modes, such as grid-connected and off-grid operation control, smoothing photovoltaic power generation output fluctuations, peak shaving and valley filling, and emergency applications.
- Real-time and history alarm displays, curve and report lists for charge and discharge efficiency, energy storage performance, and customized statistical reports.
- User management with different access levels and security measures.
System Features:
- Cross-platform compatibility with support for Windows, Linux, and Unix operating systems, as well as multiple languages and databases.
- Distributed architecture with component reusability, support for standalone and network configurations, and distributed coordinated operation.
- Configuration options including local and web-based monitoring configuration for user flexibility.
- Cloud support with local monitoring, web display, and mobile app solutions for real-time large-scale systems.
- Unique algorithms for energy storage optimization and intelligent inspection using AI and big data analysis.
- Emphasis on practicality, security, advancement, openness, scalability, and reliability in software and hardware components.
Application Scenarios: The proposed EMS solution can be applied in various scenarios, including:
- User side: Peak and valley electricity price arbitrage, demand response control, economic operation optimization, and emergency response.
- Power side: Increasing renewable energy consumption, smoothing renewable energy power fluctuations, and optimizing grid transformation.
- Grid side: Participating in grid frequency response control, providing reactive voltage support, improving local consumption of distributed power, and supporting ancillary services.