2.8 KiB
2.8 KiB
Smart grid
Not smart grid
- Electric grid, production, delivery and consumption has to occur instantaneously and in perfect balance
- Reason for not smart:
- Frequency matches generation and demand
- Voltage is generator and transformer
- Current is the upper limit of devices and have to provide spare capacity
Smart grid
- Features:
- Cost efficiency
- Economically efficient, sustainable
- Quality
- Security
- Safety
- How to
- Integrate the power infrastructure with Information and Communication Infrastructure
- Problems present:
- Energy Security
- Energy Sustainability
- Energy equity
Reason
- The UK Government pledge
- Reduce carbon emission by 68% by 2030
- more , 2035
- net zero by 2050
- Renewable with the traditional grid: power flow is less predictable
- Renewable with changing landscape: user demand is more challenging to predict
- Just In Time Delivery
- Dealing with excessive energy
- Store
- Sell
- Run power station
- Problem: Excess power may damage device or parts of grid
- Not enough energy
- Use stored energy
- Hydro power
- Buy
- Problem: risk of black out
- Dealing with excessive energy
- This means we should use smart grid:
Implementation
Optimizing the electric grid
- Continuous: Accurate forecast of demand and production to increase cost efficiency, and resilience of electricity provision
- Predictive: Informed planning of renewable energy and storage to reach net zero
- Integration and collaboration: integrate with other infrastructures for efficiency and collaborative intelligence
Big data and smart grid:
- Sources:
- Characteristics of big data:
- Volume: Amount of data:
- Likely terabytes in size
- Stores transactions
- In form of stream or batch
- Variety: Lots of data types:
- Structured or unstructured
- Multi-factor, and probabilistic
- Velocity: Speed of data flow:
- Real time
- Near real time
- In stream or batch
- Value: Extracting insights
- For business
- For revenue streams
- Has operational value
- Uncertain: Data uncertainty
- Authenticity on data
- Origin of data
- Availability of data
- Accountability
- Volume: Amount of data:
- Analytics: the more sophistication, the more value.
- Example: