Accepting PhD Students

PhD projects

Peer to Peer Energy Trading
Transportable Energy Storage Systems in Smart Grid
Resilience Based Generation Scheduling under Natural Disaster
Virtual Power Plant and Microgrid Coordination
Machine Learning and Reinforcement Learning in Solving Smart Grid Problems
Blockchain for Transactive Energy Research
Environmental, Social, and Governance Management and Planning Platform

20122024

Research activity per year

Personal profile

Biography

Dr. Tan Wen Shan completed his Bachelor of Engineering degree in Electrical and Electronics Engineering from Universiti Malaysia Sabah, in 2011. He graduated from Master of Engineering (Electrical), in 2013, by developing a distributed generation planning model using hybrid artificial intelligent approach. He completed his PhD in Electrical Engineering in 2017 from Universiti Teknologi Malaysia, and his thesis was entitled “Flexibility-Based Scheduling of Variable Wind Power with Conventional Generation and Non-Generation Resources”. He was a Postdoctoral Researcher at University Tenaga Nasional from 2018-2019.

Currently, he is a Lecturer at Mechatronics Engineering, Monash University Malaysia. His primary research interest lies in stochastic generation scheduling, where he has developed a chance-constrained based generation scheduling, with the consideration of conventional generation and non-generation resources (energy storage and demand response), formulated in a flexible ramping electricity market operation problem. The proposed model was tested under high penetration of renewable generation. Projected Disjunctive Reformulation is used to linearize the chance constraints and maintain the computation tractability of the proposed model. He has published many papers in the top journals such as IEEE Transactions in Power Systems, IEEE Transactions in Industrial Application, International Journal of Electrical Power and Energy Systems, and Renewable Energy and Renewable & Sustainable Energy Reviews.

Research interests

  • Stochastic Generation Scheduling
  • Power System Flexibility
  • Electricity Market Operation
  • Energy Storage
  • Renewable Energy
  • Smart Grid
  • Renewable Generation Forecast
  • Distributed Generation
  • Artificial Intelligent Algorithm

Monash teaching commitment

TRC3500 - Sensors and Artificial Perceptions (Unit Coordinator)

TRC3600 - Modelling and Control (Unit Coordinator)

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

Electrical Engineering, Doctor of Philosophy, Flexibility-Based Scheduling of Variable Wind Power with Conventional Generation and Non-Generation Resources, Universiti Teknologi Malaysia (UTS) (University of Technology Malaysia)

3 Feb 20148 Nov 2017

Award Date: 8 Nov 2017

Electrical Engineering, Master of Engineering, Optimising Distributed Generation Planning Using Hybrid Artificial Intelligence Approach, Universiti Teknologi Malaysia (UTS) (University of Technology Malaysia)

5 Sept 20114 Dec 2013

Award Date: 4 Dec 2013

Electrical and Electronics Engineering, Bachelor degree with Honours

9 Jul 200726 Nov 2011

Award Date: 26 Nov 2011

Research area keywords

  • Stochastic Generation Scheduling
  • Power System Flexibility
  • Electricity Market Operation
  • Energy Storage
  • Renewable Energy
  • Smart Grid
  • Renewable Generation Forecast
  • Distributed Generation
  • Artificial Intelligent Algorithm
  • Blockchain
  • Carbon Markets

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or