π Unit 4: Smart Grid Security and Privacy
4.1 Security Challenges in Smart Grids
Vulnerabilities in control systems and communication
Attack vectors: spoofing, denial-of-service, malware
4.2 Cybersecurity Protocols and Measures
Encryption, authentication, and access control
Intrusion detection systems (IDS)
Blockchain-based security in smart grids
4.3 Privacy and Regulatory Compliance
Data privacy in smart metering
Compliance with GDPR and local regulations
Consumer trust and transparency
π οΈ Practical Tools and Hands-On Training
Software & Tools Used:
GridLAB-D: Simulation of smart grid components and DERs
OpenDSS: Distributed systems modeling and analysis
IoT Hardware Kits: For lab-based sensor-network integration
SCADA Simulation: For supervisory control exercises
Projects and Workshops:
Design and simulate a smart grid for a small community
Create a smart meter interface with real-time monitoring
Implement a secure communication protocol between grid devices
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