The Smart Grid
The vastly complex machine of the Smart Grid is an extremely dynamic environment. Some components will be sensitive to human response and interaction; while others such as protection systems need instantaneous, automated responses. Massive streaming data exchanges are being implemented,but how is this blur of data configured as useful business intelligence?
Metro Power Company’s development of hybrid artificially intelligent statistical engine (HAISE) technology has matured to provide the powerful intelligence behind ourbranded‘E2M®’ energy management system. The E2M®-enabled service framework relating to the segment is presented in the table below. It outlines three key intelligence drivers for changing electric loads:
- Energy efficiency (for steady state load minimization);
- Peak load management (for daily operations); and
- A-DSM (for event driven dynamic peak load reduction).
| E2M-enabled Management for Industrial & Commercial Facilities | |||
| Efficiency & Conservation (Daily) |
Peak Load Management (Daily) |
Automated Demand Side
Management (Dynamic Event Driven) |
|
| Motivation | Utility Bill Savings Environmental Protection |
TOU & Network Savings Demand Charge Savings Grid Protection |
Price Reliability Emergency Grid Protection |
| Design | Efficient Production and Support Equipment & Systems |
Low Power Design | Dynamic Control Capability for Production & Support Systems |
| Operations | Integrated Support System operations Optimised Production System operations |
Demand Limiting Demand Shifting Supply Replacement |
Demand Shedding Demand Shifting Demand Limiting Supply Replacement |
| Initiation | Local | Local/Remote | Remote |
| Metro brand | EEC | PEM | A-DSM |
