Q1

[PinaPhD]

Review of current literature

[PinaPhD]

Prof Gibescu (on 11/01/2022 from Guangya Yang- Consortium Leader) shared relevant current literature to orient me with the application domain (Renewable energy sector). ESR1 reference list

Task list:

• [x] Read the current references provided
• [x] Generate a literature matrix
• [ ] Determine the themes present
• [ ] Develop a brief writeup

Due date: 18-01-2022

[PinaPhD]

Proposal SEP project concepts and objectives (Pg.60/122):

• [ ] Develop a robust data handling workflow for energy systems
• [ ] Architect a management platform tuned on field data encompassing the entire energy system development lifecycle
• [ ] Establish models for sensor networks operation and information exchange, for applications in the offshore environment and power networks, considering cybersecurity aspects

Some of the key scientific questions are:

• [ ] How do the dynamics of the system impact CPES observability and controllability?
• [ ] Are there general definable network properties across CPES which we can use to assess the design?

[PinaPhD]

WP1 - Data acquisition system design and security Research programme breakdown:

• 60% - Data & Information science
• 30% - Energy system engineering
• 10% - Social, economic & policy

[PinaPhD]

The research results that can find immediate use in industry

• Learning from traditional 0&G platforms to current renewable energy systems notably offshore wind as these are critical infrastructures yet also vulnerable to cyber-attacks. The intrusion detection method can be used to identify the abnormalities of critical measurements such as speed, pressure, and voltage.

[PinaPhD]

The research project encompasses the UN sustainable development goals:

• Energy (SDG7)
• Climate(SDG13)
• Environment(SDG9)

EU energy sector digitalization.

ESR1 - IoT Network Design and Reliability evaluation for renewable energy sector IoT and cloud-based architectures augment the traditional SCADA by having more flexibility in data acquisition and more variety in data types. Extend the work by C.Wu(Footnote 42) by establishing new reliability assessment metrics. These metrics can be used to design and verify the IoT system resilience and reliabiilty, identify and verify the bottlenecks in communication, and provide specifications for control and protection functions design. The application domain areas:

• Offshore wind plants
• O&G platforms
• Onshore transmission grids

[PinaPhD]

Originality and innovative aspects of the research programme

• [ ] Data handling skills covering the whole data cycle with understanding of the operation of energy sector are in high demand.
• [ ] Current SCADA relies on legacy designs. Information model has not been established for interactions among TSO, DSO, and market actors. Cybersecurity in IoT/Cloud is a known risk, but no integrated solutions exist.
• [ ] The performance of the data acquisition system is addressed. A standardized information model will be established. Intrusion detection will be developed for safe operation in IoT devices.

[PinaPhD]

Goals of the project for the ESRs

• [ ] To gain an overview of the data lifecycle management and physical system operation
• [ ] To gain insights in one step in the data handling process and several energy system applications
• [ ] To obtain skills in managing complex programming, simulation, and testing environment
• [ ] To obtain skills in assessing the economic and social aspects of technology development
• [ ] To obtain a set of personalized transferable skills for employability and lifelong research and innovation capabilities

[PinaPhD]

The local training encompasses tailored technical courses and transferable skill courses. These include, but are not limited to:

• Sustainability
• Operations research
• Economic and policy analysis
• Digital and wireless communication
• Modern SCADA systems
• Database technologies
• Distributed systems
• Machine learning
• Uncertainty modeling
• Project Management
• Leadership and startup training programming

External training opportunities seek to cover short PhD courses specific to one's ESR projects.

[PinaPhD]

Task List (Training school):

• [ ] SDN technologies and IoT systems

The course will introduce SDN technologies and IoT systems. The history and evolution of SDN will be introduced and the opportunity of SDN offers and tradeoffs of different designs will be explained. Network virtualization principles and ideas for applications in offshore wind will be provided. Further, Siemens developed an IoT operating system "MindSphere". The course will introduce the basics of MindSphere system, the system functionality, and examples of developed applications

Skillset acquired:

• [ ] Software-defined networks
• [ ] Network virtualization
• [ ] Industrial IoT systems
• [ ] IoT/cloud architecture
• [ ] Network programming environment

[PinaPhD]

The Non-academic sector helps to identify and provide use cases to ensure problem-oriented research and innovation, as well as to interface to the internal development initiatives in digitalization

[PinaPhD]

Relevant Publications and/or Research / Innovation Product

• [ ] RM González, FD Wattjes, M Gibescu, W Vermeiden et al., “Applied Internet of Things Architecture to Unlock the Value of Smart Microgrids” - IEEEInternet of Things Journal, 2018.
• [ ] DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta, “Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science”, Nature Communications, 9 (1), p. 2383, 2018.
• [ ] E Mocanu, DC Mocanu, PH Nguyen, A Liotta, ME Webber, M Gibescu, JG Slootweg, “On-line building energy optimization using deep reinforcement learning”, IEEE Transactions on Smart Grid, 2018.
• [ ] RS Singh, S Cobben, M Gibescu, H van den Bron et al., “Medium Voltage Line Parameter Estimation Using Synchrophasor Data: A Step TowardsDynamic Line Rating”, pp. 1-5, IEEE Power & Energy Society General Meeting, 2018.
• [ ] TL McDonell, MMT Chakravarty, G Keller, B Lippmeier, “Optimising purely functional GPU programs” - ACM SIGPLAN Notices, 2013.