PMAPS 2016
2016 International Conference on Probabilistic Methods Applied to Power Systems
Oct. 16-20, 2016    Beijing, China
Tutorial
Tutorial at PMAPS 2016
Beijing, China, October 16, 2016
Reliability Assessment of Electric Power Systems Instructors: Roy Billinton (IEEE Fellow), Armando Leite da Silva (IEEE Fellow), Vladimiro Miranda (IEEE Fellow)
Price: $200 per person.

Click here to begin your registration for the tutorial.
A tutorial book (instructors' materials) will be provided to all tutorial participants. Since the tutorial will begin at 8:40 AM, Oct. 16, please complete your registration and pick up tutorial books at 7:30-8:20 AM.

Tutorial

Tutorial-I: Power System Reliability Evaluation

Date: Sunday October 16, 2016

Time: 8:45-10:10AM, 10:30AM-12:00PM

Room: Building 8 Meeting Room 5

Speaker: Dr. Roy Billinton,

Distinguished Emeritus Professor,

Electrical and Computer Engineering,

University of Saskatchewan, Canada

Content:

This part of the tutorial will briefly introduce some of the basic probability concepts used in the reliability assessment of electric power systems and then focus on the reliability evaluation of generation, transmission and distribution systems. The utilization of both analytical techniques and Monte Carlo simulation will be presented. The reliability information requirements to support both predictive and past performance assessments of load point and system reliability will be illustrated using Canadian electric power utility data. This part will also illustrate the extension of conventional reliability indices to value based reliability assessment incorporating customer interruption costs.

 

Presently Distinguished Emeritus Professor of Electrical and Computer Engineering, University of Saskatchewan, Canada. Author or co-author of eight books on reliability and over 975 papers on power system analysis, stability, economic system operation, and reliability. Fellow of the Institute of Electrical and Electronic Engineers (1978), Royal Society of Canada (1980), the Engineering Institute of Canada (1981), the Canadian Academy of Engineering (1999), Foreign Associate of the United States National Academy of Engineering (2007), and a Professional Engineer in the Province of Saskatchewan, Canada (1964). Recipient of the Canadian Electrical Association Distinguished Service Award (1991), IEEE Outstanding Power Engineering Educator Award (1992), IEEE Canada McNaughton Gold Medal (1994), IEEE Canada Outstanding Engineering Educator Award (2001), IEEE Charles Proteus Steinmetz Award (2008), IEEE Canada Electric Power Medal (2008).

 

Tutorial-II: Applications and Researches in Power System Reliability Assessment

Date: Sunday October 16, 2016

Time: 14:00-15:30PM

Room: Building 8 Meeting Room 5

Speaker: Dr. Armando Leite da Silva,

Professor at the EE Department,

PUC-Rio, Brazil

Content:

This part of the tutorial will briefly cover some advanced power system reliability concepts and their utilization in power system applications and researches. Examples of reliability assessment of generation, composite and distribution systems will be provided. The applications in areas such as operating reserve, transmission expansion planning, spare equipment, substation, probabilistic load flow, and transient stability will be reviewed. Both analytical and Monte Carlo simulation tools for evaluating reliability indices will be discussed with an emphasis on the latter, in view of large systems and renewable energy sources.

 

Currently Professor at the EE Department of PUC-Rio in Brazil. Areas of interest: power system analysis (static, dynamic, optimization, markets, and renewable energy); probabilistic methods applied to power systems (monitoring, operation, planning, and maintenance); stNochastic processes and Monte Carlo simulation. Received the following honors: The Sebastian Z. de Ferranti Premium Award (Power Division of the IEE/IET, UK, 1992); Fellow (IEEE, USA, 2000); PMAPS Merit Award (2010); IEEE PES Technical Committee PSACE Prize Paper Award (2011); IEEE-PES Roy Billinton Power System Reliability Award (2012); Advisory Professor of Chongqing University (2014).

 

Tutorial-III: Computational Intelligence, Information Theoretic Learning and Auto-Encoding Applied to Probabilistic Modeling in Smart Grids and Systems with Renewables

Date: Sunday October 16, 2016

Time: 15:50-17:20PM

Room: Building 8 Meeting Room 5

Speaker: Dr. Vladimiro Miranda,

Director on the Board of INESC TEC,

Professor, University of Porto,

President, INESC P&D Brazil,

Director, OCEANUS Marine Research and Innovation, University of Porto

Content:

This part of the tutorial will briefly discuss how the high penetration of renewable sources in power systems and the smart grid paradigm drive the pervasive adoption of probabilistic models, and how adaptive learning from data is becoming more important than ever. Some computational intelligence tools for solving stochastic models will be reviewed with their applications in unit commitment, reactive power planning and reliability evaluation in systems with wind power generation. This part also explains how advances in supervised learning derive from a new interpretation of cost functions in terms of information theoretic concepts. Examples of wind and solar power prediction will be presented, as well as topology estimators and state estimators from smart grid environments. The future trend towards building cognitive models and architectures for simulation and operation control will be discussed.

 

Presently Director on the Board of INESC TEC, Professor at the University of Porto, President of INESC P&D Brazil, Director at OCEANUS Marine Research and Innovation in the University of Porto. Areas of interest: computational intelligence applied to power systems, renewables integration, forecasting, reliability and state estimation processes in smart grid environments. Member of the Scientific Council of IRESEN of the Government of Morocco, Member of the Scientific Council of the Laboratory for Chemical and Biological Defense of the Portuguese Armed Forces, Academic Advisor of the Hong Kong Polytechnic University, China, and Invited Professor at the University of Novi Sad, Serbia. Fellow of the IEEE and the recipient of the IEEE PES Ramakumar Family Renewable Energy Excellence Award (2013).


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