IIST (Institute of Integrated Science and Technology)

Back to List

COT500D1(計算基盤 / Computing technologies 500)
Special Lecture on Advanced Integrated Science and Technology 1
Smart Grid Communications

Keping YU

Class code etc
Faculty/Graduate school IIST (Institute of Integrated Science and Technology)
Attached documents
Year 2024
Class code YD969
Previous Class code
Previous Class title
Term 秋学期授業/Fall
Day/Period 火3/Tue.3
Class Type
Campus 小金井 / Koganei
Classroom name 小西館‐ゼミ室1/W Seminar 1(6F)
Grade
Credit(s) 2
Notes
Class taught by instructors with practical experience

Show all

Hide All

Outline and objectives

The smart grid will transform the way power is delivered, consumed, and accounted for. Adding intelligence through the newly networked grid will increase reliability and power quality, improve responsiveness, increase efficiency, and provide a platform for new applications. The objective of this course is to provide useful background on advanced data communication and networking mechanisms, models for networked control, and security mechanisms for the smart grid.

Goal

It is intended that students acquire some concepts of communications in the smart grid. Therefore, some relevant topics in the context of communication networks will be studied, along with some relevant topics in the generation, transmission, and distribution of energy. Students will become aware of the characteristics of smart grid applications supported by communication networks, as well as the communication infrastructure in the smart grid. The students will be able to select the relevant access technology according to the envisaged application. They should also acquire knowledge about the most relevant communication protocols, including those that support the communications necessary for smart metering and distribution automation.

Default language used in class

英語 / English

Method(s)(学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. )

The syllabus topics will be presented in detail, in terms of fundamental concepts and principles, complemented by the resolution of practical exercises to help students consolidate their knowledge. Different work themes will be proposed to students, depending on their specialization, to carry out during the semester. The outcome of those works should be a report and oral presentation at the end of the semester, followed by a group discussion in which the student's participation will be duly considered.

Active learning in class (Group discussion, Debate.etc.)

あり / Yes

Fieldwork in class

あり / Yes

Schedule

授業形態/methods of teaching:対面/face to face

※各回の授業形態は予定です。教員の指示に従ってください。

1[対面/face to face]:Communication networks in smart grid: an architectural view

Smart grid conceptual model. Smart grid communication infrastructures. Security and privacy in the communications infrastructure for smart grid. Open issues and future research directions.

2[対面/face to face]:New models for networked control in smart grid

Information in today’s power system management operations. Enhanced smart grid measuring functionalities. Demand-side management and demand response: the key to distribute cheap and green electrons.

3[対面/face to face]:Demand-side management for smart grid: opportunities and challenges

System model. Energy-consumption scheduling model. Energy-consumption control model using utility functions.

4[対面/face to face]:Vehicle-to-grid systems: ancillary services and communications

Ancillary services in V2G systems. V2G system architectures. V2G systems communications. Challenges and open research problems.

5[対面/face to face]:Communications and access technologies for smart grid

Communications media. Power-line communication standards. Wireless standards. Networking solutions.

6[対面/face to face]:Machine-to-machine communications in smart grid

M2M communications technologies. M2M applications. M2M architectural standards bodies. M2M application in smart grid.

7[対面/face to face]:Bad-data detection in smart grid: a distributed approach

Distributed state estimation and bad-data processing: state-of-the-art. Fully distributed bad-data detection. Case study.

8[対面/face to face]:Distributed state estimation: a learning-based framework

Background. State estimation model. Learning-based state estimation.

9[対面/face to face]:Networking technologies for wide-area measurement applications

Components of a wide-area measurement system. Communication networks for WAMS. WAMS applications. WAMS modelling and network simulations.

10[対面/face to face]:Wireless networks for smart grid applications

Smart grid application requirements. Network topologies. Deployment factors. Performance metrics and tradeoffs.

11[対面/face to face]:Wireless sensor networks for smart grid: research challenges and potential applications

WSN-based smart grid applications. Research challenges for WSN-based smart grid applications.

12[対面/face to face]:Sensor techniques and network protocols for smart grid

Sensors and sensing principles. Communication protocols for smart grid. Challenges for WSN protocol design in smart grid.

13[対面/face to face]:Potential methods for sensor and actuator networks for smart grid

Energy and information flow in smart grid. SANET in smart grid. Proposed mechanisms. Home energy–management system – case study of SANET in SG.

14[対面/face to face]:Implementation and performance evaluation of wireless sensor networks for smart grid

Constrained protocol stack for smart grid. Implementation. Performance evaluation.

Work to be done outside of class (preparation, etc.)

【Preparatory study and review time for this class are 4 hours each.】Homework (reports and presentation).

Textbooks

Handouts and prints will be distributed.

References

Ekram Hossain, Zhu Han, H. Vincent Poor, Smart Grid Communications and Networking, Cambridge University Press, 2012, ISBN: 9781107014138.

Grading criteria

Homework 50% + Final Presentation 50%

Changes following student comments

None in particular.