Events

Jul
7
Tue
A Novel Maximum Power Point Tracking (MPPT) Technique for Photovoltaic Solar Panels
Jul 7 @ 18:00 – 19:30
A Novel Maximum Power Point Tracking (MPPT) Technique for Photovoltaic Solar Panels

The IEEE Reliability Society & Power Electronics
Society is inviting all interested IEEE members and prospective members to a
webinar

 

A Novel Maximum Power Point Tracking (MPPT) Technique for Photovoltaic Solar Panels

By

 

Mahdi Ranjbar

DATE:       July 7, 2020

TIME:        18 19:30.

       

A
novel Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV)
solar panels will be presented.  Current
sensors are costly components. They also require a signal conditioning
circuitry to reduce the noise and condition the signal to be sampled and used
by the controller.  Th
is
method takes advantage of the non-linearity of the I-V curve of the solar panel
to
find the MPP
. By injecting high-frequency perturbation signals and
monitoring the system behavior current sensing used for controlling of MPPT
is eliminated. This elimination can reduce the cost of MPPT circuitry. The proposed method also shows a very fast tracking response due to the use of high-frequency signals instead of relying on low frequency and DC signals which are used in the traditional methods. Numerical analysis, simulation results, and experimental results verify the feasibility of the proposed technique will be shown.

 

Mahdi
Tude Ranjbar received his bachelor’s degree from the University of Tehran,
Iran (2017). In this period, his main focus was on collaboration with different laboratories in ECE and Mechanical engineering departments. He started his M.A.Sc degree in 2018 at Queen’s, Canada with a focus on improving the efficiency of the solar system power generation techniques.  Since March 2020, Mr. Ranjbar has joined the System
Architecture group at HUADA Semiconductors where his main focus is designing power applications using Huada’s microcontrollers, gate drivers and current sense amplifiers.


Please
register here:
 https://events.vtools.ieee.org/tego_/event/manage/233724

A link will be sent to you a day before the event.

 

Jul
9
Thu
Josephson Arbitrary Waveform Synthesizer as a Quantum Standard of Voltage and Current Harmonics
Jul 9 @ 18:30 – 19:30

Title: Josephson Arbitrary Waveform Synthesizer as a Quantum Standard of Voltage and Current Harmonics

Speaker: Dr. Dimitrios Georgakopoulos, Senior Research Scientist, National Measurement Institute, Sydney, Australia

Date/TimeThursday, July 09, 2020, 6:30 pm – 7:30 p.m. EDT

Abstract: Josephson arbitrary waveform synthesizers (JAWS) are becoming a viable technology for national metrology institutes and industry to establish quantum standards of direct and alternating voltage. At the National Measurement Institute of Australia (NMIA) we have extended the application of the JAWS to provide a standard of both the magnitude and the phase of harmonics in a distorted waveform. Harmonic analysis is critical in a number of industrial applications such as electric power systems, power electronics, characterization of systems and materials and acoustics and vibration. At present, in the calibrations of power analyzers, the traceability of the magnitude of the harmonics is based on ac-dc transfer measurements. However, there is a gap in the traceability of the phase of the harmonics relative to the fundamental. The NMIA calibration system uses a JAWS chip from the National Institute of Standards and Technology (NIST), USA, a precision inductive voltage divider and a set of current shunts designed and manufactured by NMIA. For distorted waveforms with harmonic magnitudes from 5% to 40% of the fundamental, the calibration system can measure odd harmonics up to the 39th with magnitude uncertainties better than 0.001 % of the fundamental for voltage (from 0.01 V to 240 V) and current (from 0.005 A to 20 A) waveforms. The best phase uncertainties range from 0.001° to 0.010° (k = 2.0), depending on the harmonic number and harmonic magnitude. We anticipate that the ability of the JAWS to generate distorted waveforms with the lowest possible uncertainty in the magnitude, and phase spectra will make it a unique tool for low-frequency spectrum analysis.

Speaker’s BioDimitrios Georgakopoulos (IEEE AM’11–M’12–SM’12) was born in Athens, Greece, in 1972. He received his B.Eng. degree in electrical engineering from the Technological Educational Institution of Piraeus, Egaleo, Greece, in 1996; his M.Sc. degree in electronic instrumentation systems from the University of Manchester, Manchester, UK, in 1999; and Ph.D. in electrical engineering and electronics from the University of Manchester Institute of Science and Technology, Manchester, UK, in 2002. From 2002 to 2007, he worked as a research scientist at the National Physical Laboratory, UK. In 2007, he joined the National Measurement Institute, Australia, as a research scientist, where he has been working on the development of quantum voltage standards and low frequency electromagnetic compatibility (EMC) standards. Dr Georgakopoulos is an Associate Editor of the IEEE Transactions on Instrumentation and Measurement, member of the IEEE IMS Measurements in Power Systems Committee (TC‑39), member of the NATA Accreditation Advisory Committee for Calibrations, and member of the American Association for the Advancement of Science (AAAS), USA.

Admission: Free, but registration is required at https://events.vtools.ieee.org/m/233847.For any additional information, please contact by e-mail: branislav@ieee.org or ajit.pardasani@ieee.org.

Jul
15
Wed
Resource Management for Massive Connectivity in Future Wireless Networks
Jul 15 @ 14:00 – 15:00
Resource Management for Massive Connectivity in Future Wireless Networks

Registration is required. A link to the event will be sent to those registered closer to the event date.

Register here: https://www.eventbrite.ca/e/resource-management-for-massive-connectivity-in-future-wireless-networks-tickets-111059596242

About this Event

Future wireless networks (beyond 5G/sixth-generation (6G) networks)
are envisioned to support 3D communication by integrating terrestrial
and aerial networks. The objective is to provide connectivity to a large
number of devices (known as massive connectivity), to support
substantial traffic demands, and expand coverage. However, effective
resource management in future wireless networks is a challenge because
of massive resource-constrained devices, diverse quality-of-service
(QoS) requirements, and a high density of heterogeneous devices. In this
seminar, I will present my recent research progress which is focused on
communication networking aspects of the Internet of Things (IoT), with
emphasis on algorithm design, network architecture development, and
system-level performance analysis. I will provide a brief discussion on
my three most significant contributions which focuses on the design of
novel algorithms and communication protocols for IoT networks, that have
both (i) enhanced network performance, in terms of spectrum efficiency,
coverage, and energy efficiency, and (ii) satisfied a wide range of IoT
devices’ requirements and constraints. I will then share long-term goal
of my research program which is to develop efficient and low complexity
resource management schemes to tackle the challenges of seamless
connectivity of heterogeneous devices anytime and anywhere. Finally, I
will present my short-term objectives in the next five years which are
to develop resource management schemes for massive connectivity in
future terrestrial networks, aerial networks, and self-sustainable
networks (SSNs) while considering different objectives and constraints,
including network scalability, reliability, latency, efficiency
(spectral usage and energy consumption), and complexity.

BIOGRAPHY

Waleed
Ejaz (S’12-M’14-SM’16) is an Assistant Professor in the Department of
Applied Science & Engineering at Thompson Rivers University,
Kamloops, BC, Canada. He is also the founding director of Next
Generation Wireless Networks (NEWNET) research laboratory. Previously,
he held academic and research positions at Ryerson University, Carleton
University, and Queen’s University in Canada. He received the B.Sc. and
M.Sc. degrees in Computer Engineering from the University of Engineering
and Technology, Taxila, Pakistan and the National University of
Sciences and Technology, Islamabad, Pakistan, and the Ph.D. degree in
Information and Communication Engineering from Sejong University,
Republic of Korea, in 2014. He has co-authored over 90 papers in
prestigious journals and conferences, and 3 books. His current research
interests include Internet of Things (IoT), energy harvesting, 5G and
beyond networks, and mobile edge computing. He is an Associate Editor of
the IEEE Communications Magazine, IEEE Canadian Journal of Electrical
and Computer Engineering, and the IEEE ACCESS. Dr. Ejaz completed
certificate courses on “Teaching and Learning in Higher Education” from
the Chang School at Ryerson University. He is a registered Professional
Engineer (P.Eng.) in the province of British Columbia, Canada. Dr. Ejaz
is a senior member of IEEE, member of ACM, and ACM distinguished
speaker.

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