International Conference On POWER, ENERGY,CONTROL AND TRANSMISSION SYSTEMS

Harnessing Power and Energy for an affordable Electrifiction of India22ND & 23RD FEBRAUARY, 2018

International Conference On POWER, ENERGY,CONTROL AND TRANSMISSION SYSTEMS

Harnessing Power and Energy for an affordable Electrifiction of India22ND & 23RD FEBRAUARY, 2018

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Plenary Talk

The plenary talk for day 1 of the “International Conference on Power, Energy Control and Transmission Systems 2018”will be given by Dr. CHENG CHIN, Associate Professor, System Design and Simulation, Newcastle University, Singapore.

TOPIC:   “SIMULATION AND DESIGN OF LITHIUM-ION BATTERY POWER SYSTEM.”

ABSTRACT:

A large format lithium-ion battery stack emergency power system is designed for electric-propelled vehicles. The large format lithium-ion battery stacks are chosen for their high energy density, modularity, and ready availability. To increase their output power rating, many battery stacks can be connected in series and parallel in an enclosure. We propose to design and develop an intelligent battery management system (BMS) with high-efficiency active cell balancing technology and self-learning battery state of charge (SOC) estimation for the lithium-ion battery. The proposed active cell balancing technology will lead to longer endurances and lengthens the lifetime of the battery for underwater applications. Besides, the 2kWh battery stack module with BMS system is scalable and swappable to provide higher power capacity and increase flexibility in usage. The intelligent lithium-ion battery stack power system developed has high potential for commercialization and will drive academic knowledge and applied research works using backup or main power supply in electric vehicles and environmental surveying.

BIOGRAPHY:

DR. CHENG SIONG CHIN leads numerous research projects with ST-Electronics (large-scale systems group), Seagate, Soil Machine Dynamics (SMD), SembCorp Marine, and Temasek Polytechnic with Singapore Maritime Institute (SMI) at Newcastle University in Singapore campus. He is currently an Associate Professor at Newcastle University. Before joining Newcastle University, he was a Lecturer in Mechatronics Engineering at Temasek Polytechnic. He worked in consumer electronics industry for few years before moving into academia. He currently holds 3 U.S. Patents, 2 provisional US patent applications, 1 Singapore Provisional Patent and 2 Trade Secrets in the area of electronics test systems and components. Since 2013, he obtained 2 research grants from SMI and 2 EDB-Industrial Postgraduate Programme (IPP), 1 Global Excellence Fund and 1 Industrial Research Fund from ST Electronics funded by Defence Innovative Research Programme in the areas of systems design, simulation, and noise prediction. He managed to secure approximately S$1.9M project values for his research since he joined Newcastle University in May 2010. He has published nearly 80 journal papers, book chapters, book and conference papers involving systems design and simulation of complex systems. His quality of research-informed teachings was demonstrated by few UG student scholarships from RINA, Keppel Award, IMarEST, BAE Systems and MTS ROV Committee Scholarship. Dr. Chin is the Fellow of the Higher-Education Academy (FHEA), Fellow of IMarEST (FIMarEST), Senior Member of IEEE (SMIEEE), Chartered Engineer, European Engineer and a member of IET. He is an active reviewer for IEEE Transactions/Journals, elected Committee Member for IEEE Oceanic Engineering Society in Singapore Section, Lead Guest Editor for Journal of Advanced Transportation on Special Issue on Intelligent Autonomous Transport Systems Design and Simulation. He involves in IEEE Technical Committee Member on Bio mechatronics and Bio-robotics Systems, Session Chair for MTS/IEEE OCEAN, Chairman and Technical Review Committee for various IEEE/International Conferences. He served as an External Reviewer for The Singapore Ministry of Education Translational R & D and Innovation Fund funds R & D projects and authored a book entitled Computer-aided Control Systems Design: Practical Applications using MATLAB and Simulink published by CRC Press, the USA in 2012.

The plenary talk for day 2 of the “International Conference on Power Energy Control and Transmission Systems 2018” will be given by Dr. NUR ASHIDA BINTI SALIM Senior Lecturer,Center for Power Engineering Studies (CePES),UniversitiTeknologi Mara,Shah Alam, Malaysia.

TOPIC:

ASSESSMENT OF TRANSFER CAPABILITY CONSIDERING RISK AND RELIABILITY COST/WORTH IN DYNAMIC AND STATIC SYSTEM CASCADING COLLAPSES.

ABSTRACT:

In a restructured power system, it is important to determine realistic value of Available Transfer Capability (ATC) since this information will be used as a reference by the Independent System Operator (ISO) towards the finest decision making in congestion management especially pertaining to system security and effective electricity market. ATC is the additional amount of power that can be transferred between two areas without jeopardizing the system security and reliability. The determination of ATC must accommodate a certain amount of Transmission Reliability Margin (TRM) vital for resolving between uncertain system securities and maximizing the power transfer. In this thesis, a stochastic framework has been established for ATC and TRM determination by considering uncertainties in hourly peak loads, transmission failures and system cascading collapse. The events of worldwide major blackouts that occurred recently have emphasized on the importance of cascading collapse consideration in determining power transfer capability. The proposed research methodology involved developing an algorithm commenced with a fault occurrence and then followed by the propagation of power system component tripping events which is defined as the system cascading collapse. In this thesis, both static and dynamic operating conditions in a power system are considered in the analysis of system cascading collapse. The assessment of static system cascading collapse is performed wherein its cascaded violation depends on the violation of transmission line limit. On the other hand, the dynamic system cascading collapse is performed by inspecting the violation of generator rotor angle limit and frequency limit starting from the dynamic response of critical clearing time until the final transient stability simulation time. In particular, bootstrap technique is used to generate uncertainties of system parameters comprising with the chronological hourly peak loads, transmission line failures and system cascading collapse. The bootstrap technique is done by replicating the inherent information in order to produce new information considering various levels of system uncertainties. This thesis also introduces on the assessments of risk and reliability cost/worth based Customer Interruption Cost in relation to each case of system cascading collapse. The performance and effectiveness of the proposed techniques were evaluated through the comparison of TRM, ATC, RC and CICC results associated with the static and dynamic system cascading collapses. The results have proven that a large value of TRM is obtained based on the combined uncertainty of chronological hourly peak loads, transmission line outages and system cascading collapse. This signifies that the uncertain tripping events of exposed generator together with exposed transmission lines occurred in the system cascading collapse ultimately will cause to a considerable impact to the TRM and ATC determinations. On top of that, the results of customer interruption cost also have proven that the uncertainty of system cascading collapse should not be ignored from the TRM determination.

BIOGRAPHY:

Dr. NUR ASHIDA BINTI SALIM Senior Lecturer,Center for Power Engineering Studies (CePES),from UniversitiTeknologi Mara,Shah Alam, Malaysia. Her research areas are in the fields of Power System reliability, Power System Stability, Power System Risk Assessment. The recent paper of her are

  • Prediction of Cascading Collapse Occurrence due to the Effect of Hidden Failure of a Protection System using Artificial Neural Network.(Journals of electrical engineering)
  • Impact of Distributed Generation on the Fault Current in Power Distribution System and more