Submission Deadline: November 10, 2019
Acceptance Notification: November 25, 2019
Registration Deadline: December 5, 2019
Conference Date: December 28-30, 2019

Conference Secretary: Yoyo Chow
Telephone: +86-28-86512185 (Working Hour: GMT 10:00AM-5:00PM)


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• Abstract (Oral Presentation only, without publication)

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Keynote Speakers

Prof. Tiong Sieh Kiong
Department of Electronics & Communication Engineering, University Tenaga Nasional, Malaysia

Dr. Ir. Tiong Sieh Kiong is currently a professor in the College of Engineering. He is also the Director for Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional. He received his B.Eng.(Hons), MSc and PhD, in Electrical, Electronic and System Engineering from the Nasional University of Malaysia (UKM) in year 1997, 2000 and 2006 respectively. His research interests are renewable energy, artificial intelligence, data analytics, microcontroller system and communication system. In his capacity, he has led and involved in more than 40 research and consultancy projects for industries. He has published more than 200 technical papers in his research field. Besides, he has been also actively conducting workshops and short courses that are involving artificial intelligence and microcontroller system in the application of communications, renewable energy and machine system. He is currently a Professional Engineer registered with the Board of Engineers Malaysia (BEM). He is also a Member of the Institute of Electrical & Electronic Engineers (IEEE) and he was the Chair of its Communication & Vehicular Technology Society (Malaysia Chapter) in the year of 2011 and 2012.

Prof. M. A. Hannan
Department of Electrical Power Engineering
College of Engineering, Universiti Tenaga Nasional, Malaysia

Dr. M A Hannan is employed in the Dept. of Electrical Power Engineering, College of Engineering, The National Energy University, Malaysia in 2016. He was in Faculty of Engineering and Built Environment, National University of Malaysia as Professor of Intelligent Systems before joining to UNITEN. He has received the PhD degree in Electrical, Electronic and Systems Engineering from the National University of Malaysia. His research interests are on power and energy especially intelligent inverter controller, energy storage system, motor drive, microgrid, FACTS and custom power devices, vehicle safety, hybrid vehicle and solid waste applications.
He has been obtained about RM 10 million research funds, supervised 37 (2 post-doctoral, 19 PhD and 17 master by research) students and published 300+ research papers in reputed journals and proceedings. His H index and citation are in Google Scholar (H index 27; citation 3499), Research gate (H index 24; citation 2579, Reads 79k), Scopus (H index 22; citation 2201).
He is the members of many professional organizations such as Senior Member, IEEE, IEB, IAENG, BCS etc. He has been serving as program examiner, funding proposal evaluator, thesis examiner, associate editor in IEEE Access, Editor-in-Chief (Journal of Energy & Environment, ISSN: 1985-7462), reviewer in many IEEE Transactions, Elsevier Science and some other journals, editorial board members as well as in the committee and reviewer of many International Conferences.
He has been awarded many times for research and contributions, just a few such as, Gold medal in ITEX 2018, Gold medal in MTE, 2017; Gold medal in ITEX 2017; Gold medals PERINTIS, 2016; Gold Medal with Outstanding Achievement in International Innovation Festival, 2014; Runner up in Schneider Electric University Challenge “Go Green in Malaysia” 2012; Runner up in the DIGI Challenge “Change for Social Venture Competitions” 2011; Champion in the National Electric Power System Competition, 2009; Excellent Scientist for outstanding research in 2005 by MOHE, Malaysia; Gold medal in SIIF 2004, Korea etc.

Prof. Ismail Musirin
Faculty of Electrical Engineering, Universiti Technologi Mara, Malaysia

Prof. Ir. Dr. Ismail Bin Musirin obtained Bachelor of Electrical Engineering (Hons) in 1990 from UniversitiTeknologi Malaysia, MSc in Pulsed Power Technology in 1992 from University of Strathclyde, United Kingdom and PhD in Electrical Engineering from UniversitiTeknologi MARA (UiTM), Malaysia in 2005. He is currently Professor of Power System at the Faculty of Electrical Engineering, UiTM and the Director, Community of Research (CoRe), Advanced Computing and Communication (ACC), Institute of Research Management and Innovation, UiTM since Feb 2014.

He has authored and co-authored 2 books, over 300 papers in the international indexed journal and conferences. He is also an international journal reviewer for IEEE Transactions, Elsevier Science, WSEAS, John Wiley, IET and some other publishers. He has been the organizing chair for International Power Engineering and Optimization Conference (PEOCO) for the past 11 years since 2007. He has delivered keynote speeches at Cambridge University, United Kingdom, Dubai, Korea and Malaysia. His research interest includes artificial intelligence, optimization techniques, power system analysis, renewable energy, distributed generation and power system stability. He is a senior member of International Association of Computer Science and Information Technology (IACSIT), member of Artificial Immune System Society (ARTIST) and member of International Association of Engineers (IAENG). To date he has examined more than 35 PhD theses and more than 45 MSc theses from Malaysia and abroad. He is also one of research grant evaluators for Ministry of Higher Education (MOHE), FRGS.Recently (22 Jan 2017), UiTM has awarded Prof. Ir. Dr. Ismail Musirin Silver Award for “Mentor Researcher” in the UiTMResearch Summit Day (RSD) 2017.

Speech Titile: Embedded Optimization Technique in Distributed Generation Planning in Power System

Abstract: The depletion of fossil fuel and climate change challenge has gathered worldwide effort to develop sustainable energy systems. In light of this, various forms of Distributed Generation (DG) technologies have been connected to the system, either to the transmission or distribution system. The installation of DG requires optimisation process to identify the correct location and sizing. Improper sizing and location of DG installation may result to overcompensation or under compensation. Most optimisation techniques are found to face inaccurate and stucked at local minimum phenomena with computationally burdensome. Thus, a reliable optimisation technique is crucial to address this issue.
This speech shares a new proposed technique termed as Embedded Meta Evolutionary–Firefly Algorithm-Artificial Neural Network for Multi-DG planning in distribution system. In this study, Meta Evolutionary–Firefly Algorithm (EMEFA) was initially developed to expedite the computational time in multi-DG installation with improved accuracy. Optimal location and sizing are determined using the proposed EMEFA technique. Load in the distribution system involving the residential, commercial and industrial. These three load types are voltage dependent, and active and reactive power components respond differently to variations in voltage. The voltage dependent load has a main impact on distribution system planning studies. In achieving optimal allocation and placement of DG, two techniques were proposed to study the DG planning which is the ranking identification for DG installation and the integrated clustering development and pre-developed EMEFA was employed. The aim of the technique is to reduce the computational time during the optimization process for DG planning along with the total losses minimisation. Some example of results will be shared with the attendees to aid the understanding of DG Planning.


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