Keynote Speaker


 

PROF. TARLOCHAN S SIDHU

FACULTY OF ENGINEERING AND APPLIED SCIENCE, ONTARIO TECH UNIVERSITY CANADA

Biography

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Title: EMERGING POWER SYSTEMS - SMART GRID INITIATIVES IN CANADA

Canada has committed to reducing greenhouse gas emissions and make contributions to reducing global warming through a number of initiatives in many areas including smart grid. A number of smart grid initiatives both at federal and provincial levels have been completed, are underway and are planned. Major objectives of such initiatives are to facilitate integration of renewable into the grid, demand side management, EV integration and overall modernization thus, increasing efficiency, reliability and consumer participation. This talk will discuss these initiatives, their objectives and progress. Technical issues encountered and considered in their implementation will also be outlined.

 
 

PROF. SIVAJI CHAKRAVORTI

ELECTRICAL ENGINEERING DEPARTMENT, JADAVPUR UNIVERSITY, KOLKATA, INDIA

Biography

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Title: ESTIMATION OF INSTANTANEOUS FREQUENCY OF A SIGNAL

 

For many applications, it is essential to classify the signals based on their frequency components. Most commonly used tool for this purpose is Fourier Transform (FT), which has its limitations, particularly for analysis of non-stationary signals. To overcome these limitations, Short Time Fourier Transform (STFT) was proposed, which could give time-frequency representation of a signal. Later it was found that Wavelet Transform (WT) is a better tool for multi-resolution analysis. Developments in Continuous Wavelet Transform (CWT) was followed by developments in Discrete Wavelet Transform (DWT). Researchers have also used S-Transform, which could be stated to be a variable window short time Fourier transform. This talk will provide insights into the above-mentioned analytical tools and then proceed to present another tool, viz. Empirical Mode Decomposition (EMD), for which computational burden is quite low and hence is a handy tool for real-time applications. Salient aspects of EMD like Sifting process and Intrinsic Mode Function will be explained. There will be detailed discussions on Real-life applications of EMD.

 
 

PROF. SRI NIWAS  SINGH

DEPARTMENT OF ELECTRICAL ENGINEERING, INDIAN INSTITUTE OF TECHNOLOGY KANPUR, INDIA

Biography

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Title: ANN BASED WIND AND PV POWER FORECASTING

 

Due to rapid industrialization and increased standard in the lifestyle, the electric power requirement is increasing day-by-day. Various concerns related to progressive depletion of traditional fossil energy sources, increasing cost of fossil fuels, environmental protection, etc. have increased the interest in integrating renewable energy sources into the existing power systems. In the presence of renewable energy sources along with the volatile nature of demand and supply in electricity market environment, it has become a challenging task for the power utilities to perform proper scheduling of the generating units to serve the load demand at minimum operating cost. Forecasts are carried for various lengths of forecast horizons based on the requirements. A short-term forecast is useful in dealing with the operational problems like frequency and power balance, voltage and reactive power support, and power quality issues. On the other hand, a long-term forecast is useful for planning and operational problems like, economic scheduling, unit commitment and spinning reserve allocation.
The operation and stability of electric power system is primarily governed by demand and supply balance. The subsidies or promotion of Government for renewable energy sources (Wind and Photovoltaic) increase the penetration of these. Being intermittent due dependency on the nature, the output of Wind and PV are stochastic in nature. In such situation, to participate in electricity market for wind and PV power suppliers, accurate output power forecasting tools are, therefore, very much essential. This talk proposes a model based on Adaptive Wavelet Neural Network (AWNN) for hourly prediction, as well as day-ahead power forecast. Furthermore, by having knowledge of forecasted real power, and power rating of other supporting devices (transformer and power inverter), reactive power scheduling on demand can also be done to enable secure and efficient grid VAR planning and operations.

 
 

PROF. SUKUMAR MISHRA

DEPARTMENT OF ELECTRICAL ENGINEERING, INDIAN INSTITUTE OF TECHNOLOGY DELHI, INDIA

Biography

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Title: ISSUES CHALLENGES AND OPPORTUNITIES TOWARDS SUSTAINABLE ENERGY INTEGRATION

 

Access to clean, affordable and reliable energy has been a cornerstone of the world's increasing prosperity and economic growth since the beginning of the industrial revolution. The principal goal for deploying renewable energy (RE) across the world is to advance economic development, improve access to energy, improve energy security, and mitigate climate change. Sustainable development is possible by use of sustainable energy and by ensuring access to reasonable, reliable, sustainable, and modern energy for citizens. Several policies and programs have been developed worldwide to ramp up the renewable energy growth rapidly. A variety of approaches exist for estimating the capacity value of renewable sources, as well as techniques that enable utilities and power system operators to use wind, solar, etc. to reliably meet electricity demand. These sources have different advantages and challenges. The concerns such as voltage violations, reverse power flow in low-voltage distribution systems, power losses and implementation costs, etc. will be addressed with a focus on New RE generation, New transmission, Increased system flexibility and Planning for a high RE future. This talk will cover the technical aspects and implementation challenges attached to sustainable energy integration

 

Expert Talk


MR. SOMANATH PRUSTY

HEAD OF SDG UDM & MPBN, ERICSSON

Biography

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Title: 5G IN ENERGY SECTOR FOR NETWORK MODERNIZATION

Towards faster and more interconnected wireless network, 5G technology will be a major game-changer for consumers. 5G will be faster, perhaps as much as twenty times as fast as current LTE networks. It will also be very low latency, which means that the speed at which 5G signals are sent and received will be effectively imperceptible. The initiative verified that 5G networks can more than meet the ICT requirements for operating full-scale power network monitoring. Further to this, testing in a live environment provides an opportunity to explore how a 5G network can be configured to meet the real needs of utility companies.

Traditionally, utility companies built one-way networks, beginning with production in a power plant followed by power distribution directly to homes and businesses. Today, they produce energy from increasingly varied sources, including renewables. Renewable energy also comes from private individuals and companies, who feed their self-generated power into the network from the edges. Alongside this, new patterns of energy consumption are emerging as the number and type of energy-consuming technologies. It was established to address the growing need for distribution system operators (DSOs) to have real-time insights into network operation, as well as to remotely optimize their processes for a cost-efficient, seamless and secure power supply for customers.  The solution harnesses 5G to help virtualize automation services and locate them in the 5G Edge infrastructure. Combined with innovative sensors, data analysis techniques and 5G-based ICT, it provides support to DSOs with real-time control and decision-making in planning.

Distribution network operator is primarily interested in testing the benefits of 5G in industrial applications. The most important of all infrastructures, the power grid, requires reliability, security and fast data and signal transmission.  The condition of network components and smart grid elements as well as switch and control signals need to be transmitted securely and quickly to the right recipients. More and more industries including the power industry are realizing the benefits of 5G technology, which as a result will allow utilities to promote themselves as leaders in smart and cleaner energy production.