As a key form of distributed energy integration, the microgrid energy management system (MEMS) is the core ensuring the economic and reliable operation of microgrids. IEC TS 62898-3-2 is the specification within the IEC 62898 series regarding technical requirements for microgrid energy management systems, aiming to unify the functional architecture, communication protocols, and optimization methods of MEMS. Based on best practices from multiple demonstration projects worldwide (such as Goldwind in China, Hachinohe in Japan, and the Qatar Desert Microgrid, etc.), this standard provides comprehensive technical guidance ranging from system architecture to functional modules.
The standard divides microgrid operation control into three layers: the Energy Management Layer (MEMS), the Monitoring and Control Layer (MMCS), and the Protection and Dynamic Control Layer. MEMS primarily implements long-timescale energy management functions, such as power generation forecasting, economic dispatch, and demand-side management. For small-scale microgrids, MEMS and MMCS can be integrated into a single microgrid controller. Recommended communication protocols include the IEC 61850 series, IEC 60870-5-104, and DNP3, while cybersecurity must comply with the IEC 62443 series.
| Functional Module | Description | Time Scale |
|---|---|---|
| Scheduling Optimization | Multi-objective optimization including economic efficiency, environmental friendliness, and renewable energy utilization | Day-ahead, intra-day, real-time |
| Forecasting Functions | Photovoltaic/wind power generation forecasting, load forecasting, electricity price forecasting | Ultra-short-term (15min-6h), short-term (1-3 days) |
| Demand-side Integration | Demand-side management, demand response, energy efficiency optimization, power exchange with the upper grid | Intra-day, real-time |
| Flexible Resource Management | Controllable load management and energy storage management (SOC/SOH monitoring) | Real-time |
Scheduling optimization is the core of MEMS, covering day-ahead economic optimization dispatch, intra-day economic dispatch, and real-time dispatch adjustment. Optimization objectives include economic efficiency (operating costs, market revenue), environmental friendliness (CO₂ emission reduction), power quality/reliability, and maximum utilization of renewable energy. The standard specifies various constraints: generator output limits, system operation constraints (such as power balance, power flow control), and robustness constraints (renewable energy randomness). Optimization methods include mixed-integer programming, model predictive control (MPC), neural networks, etc.
The Beijing Goldwind Smart Park Microgrid (commissioned in 2012) includes 4.8MW wind power, 1MW photovoltaic, micro-turbines, and energy storage. MEMS achieves day-ahead and intra-day optimization, utilizing the energy storage system (EES) for peak shaving and valley filling. In grid-connected mode, it optimizes charging and discharging based on real-time electricity prices; in islanded mode, it ensures power supply for critical loads, comprehensively reducing energy costs and emissions.

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Update:
Sun, 12 Jul 2026 05:57:03 +0000