Latest Past Events

Leading Women in Power Engineering Highlight Renewable Integration in WA Microgrids

Building 80, Level 2, Room 2 (80.2.2) RMIT, Melbourne, Australia

Abstract: In 2021 Alinga Energy Consulting was awarded a grant through the Regional and Remote Communities Reliability Fund – Microgrids to conduct energy feasibility studies for 5 Indigenous communities in Western Australia. Ruby Heard, electrical engineer and director of Alinga Energy Consulting, will present a case study on integrating renewable energy into an isolated, diesel powered network. The study modelled 3 options for incorporating solar PV and battery storage – household rooftop solar, community owned centralised assets and utility owned centralised assets. Ruby will share results of the techno-economic analysis as well as community perspectives and benefits.   Speaker: Ruby Heard is an electrical engineer from Melbourne, now based in Rockhampton Qld. She completed her undergraduate degree at Victoria University in 2010. Ruby then went on to be a building services engineer for Arup, designing electrical and lighting systems for local buildings such as 888 Collins St, Terminal 4 at Melbourne Airport and Mitcham Train Station as well as international projects including the Louvre in France. Ruby transferred to the Arup San Francisco office in 2015 to pursue a greater focus on renewable energy where she started to specialise in complex solar arrays and microgrids working predominantly with Google. She was awarded an Emerging Leader in Sustainability recognition by the Design Futures Council in 2017. In early 2018 Ruby left Arup to volunteer in Ethiopia for 6 months through Engineers Without Borders, to support the United Nations High Commissioner of Refugees (UNHCR) energy team to design and install solar mini-grids while training refugee cooperatives as solar technicians. In November 2018 Ruby returned to Australia and formed Alinga Energy Consulting to continue her work in the renewable energy and microgrid space with a focus on off-grid applications, remote Indigenous communities and islands. Ruby was awarded Young Engineer of the Year Victoria by Engineers Australia in 2019 and featured in EA’s centenary celebration of 100 engineers making a difference. Free Registration (In-Person): https://www.trybooking.com/CLSBH Free Registration (Online): https://www.trybooking.com/CLSBJ Join the Event: Online zoom meeting link: https://deakin.zoom.us/j/84921540195?pwd=M3lzbnA0LzlqT28zeHpDR2tURUJDdz09 Meeting ID: 816 3454 0195 Passcode: 72281738      

Automated Fault and Disturbance Analysis

Building 80, Level 2, Room 080.02.001, RMIT University (Melbourne City Campus) Building 80, Level 2, Room 080.02.001, RMIT University (Melbourne City Campus), Melbourne

Abstract: Power system experience faults and disturbances that may negatively affect its desired performance. Over the years many sources of data have been used to automate fault and disturbance detection, classification, and characterization with a goal of helping operators, planners and protection engineers in assuring timely manual or automated reaction to faults and disturbances, particularly if they are poised to endanger safe, reliable, and secure electric grid operation. The talk focuses on three key considerations when designing such automated systems: a) selection of sources of data, b) choices of algorithms for reaching the conclusions, and c) mitigation measure for preventing or reducing impacts of fault and disturbances. The data discussion differentiates between the time synchronized and unsynchronized field waveform recordings, and the use of data from relays, fault recorders and PMUs. The choices of algorithms depend on the purpose of the analysis, so the differentiation is made between post-mortem, online and predictive analysis. The mitigation measures depend on the goal of assisting operators and planers or designing IEDs for automated control to mitigate the fault and disturbance impacts. The talk ends with examples from T&D and DER applications. Speaker: Mladen Kezunovic has been with Texas A&M University, College Station, TX, USA, for over 35 years, where he holds titles of Regents Professor, Eugene E. Webb Professor, and Site Director of “Power Engineering Research Center” consortium. He is also the Principal of XpertPowerTM Associates, a consulting firm specializing in power system modeling and data analytics for the last 30 years. His expertise is in protective relaying, fault modeling, automated power system disturbance analysis, computational intelligence, data analytics, distributed energy resources, and smart grids. He has authored/co-authored over 600 papers, given over 120 seminars, invited lectures, and short courses, and consulted for over 50 companies worldwide. Dr. Kezunovic is an IEEE Life Fellow, and a CIGRE Fellow, Honorary and Distinguished Member. He is a Registered Professional Engineer in Texas. He is a member of the US National Academy of Engineering. Free Registration: https://www.eventbrite.com.au/e/automated-fault-and-disturbance-analysis-tickets-709278500087?aff=oddtdtcreator Join the Event: Online zoom meeting link: https://deakin.zoom.us/j/84921540195?pwd=M3lzbnA0LzlqT28zeHpDR2tURUJDdz09 Meeting ID: 849 2154 0195 Passcode: 41515361      

Advanced Prediction Techniques Applied to Smart Grids

Abstract: The power system industry is shifting towards a new digitalization era to better manage risk within volatile energy commodities, increase customer engagement, and enhance efficiency via grid optimization. Data analytics play a vital role in this transformation and, as such, different measurement architectures have been used and implemented to facilitate data capturing process and supervisory control at the generation, transmission, and distribution levels. This seminar will briefly review the recent outcomes of some smart grid challenges addressed by novel prediction techniques. At the generation level, decomposition techniques have been applied to handle the inherent uncertainty in short-term wind power prediction. At the transmission level, dynamic thermal line rating prediction has been studied as a viable solution to reduce congestion and utilize the actual capacity of the line. Considering the high inclusion of phasor measurement units at the transmission level, cutting-edge methods have been proposed to address stability status prediction of the grid following a contingency. Finally, at the distribution level, real-life data obtained from advanced metering infrastructure have been used for load prediction and customer segmentation. Speaker: Prof. C.Y. Chung, Chair Professor of Power Systems Engineering and Head, Founding Director of Research Centre for Grid Modernisation, Department of Electrical Engineering, The Hong Kong Polytechnic University, HK SAR, China. Free Registration: https://www.eventbrite.com.au/e/advanced-prediction-techniques-applied-to-smart-grids-tickets-680582329067?aff=oddtdtcreator Join the Event: Online zoom meeting link: https://deakin.zoom.us/j/84189514336?pwd=Y0pkZldxUVFZVlpqOGlVSEN1dFRkUT09&from=addon Meeting ID: 891 1234 6440 Passcode: 58520444