Presented by: Priya Nitin Gokhale

This webinar will cover Phasor Measurement Units (PMU) optimization in Smart Grids, it is elaborated with artificial neural networks (ANN)

Learning Objectives:

  1. Understand features of PMU and its application
  2. Use of ANN for PMU optimization
  3. Proposed method for detection of phase angles at Vs and Vr where maximum power will flow

Conclusion: The results obtained from ANN model are compared with Electrical Transient Analyzer Program (ETAP). The predicted & targeted results become equal by training neural network. Deep neural networks can be used for complex networks and near real time applications.


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Presented by: Indranil Ghosh

Smart Grid is the modern version of the traditional electrical power grid consisting of a network of generation, transmission and distribution. Communication is the life line and an integral and a significant part of the smart grid. With the latest development in 5G communication, a lot will impact the operation of the grid in a smarter way. This webinar covers a few of the key developments, components and functionality of the 5G communication system including Network Slicing, its architecture, capabilities, decarbonization of grid, and its benefits in the smart grid applications.

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Presented by: Reinaldo Burian

Smart Grid brought great benefits to the electric energy segment by monitoring smart meters and protection devices, making electrical distribution more reliable, and improving the quality of the service provided. The problem is that not all points, that needed to be monitored, have achieved highly reliable and available monitoring coverage. Initially, radio was used as a communication technology. Later, other technologies were added, such as optical fiber and cellular. Over time, these technologies started to present significant problems, like saturation, high installation costs, and operation, frequent maintenance, in addition to starting to fail at critical moments or did not reach a high degree of availability, mainly outside the urban region. The deployment of satellite telemetry terminals directly in the field equipment to be monitored and the use of M2M (Machine-to-Machine) networks with L-band, has emerged as a low-cost alternative, improving the reliability and availability of communication channels with Distribution Operation Centers, in regions without coverage or bad coverage, reaching a high percentage of availability of the communication channel. This presentation highlights the successful case of using the telemetry satellite terminal in electricity distributors in Brazil and Latin America, after 5 years of using the solution.

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Presented by: Pierluigi Mancarella

Multi-Energy Systems (MES), in which multiple energy carriers are integrated and optimally operated, are key assets to enable low-carbon energy systems. Multi-carrier integration of distributed energy resources via different energy networks generates the so-called distributed MES (DMES). This webinar presents foundational concepts to characterize, model, optimise, and visualise the flexibility that could be provided to the electricity grid by DMES, including the role of integrated energy networks (e.g., electricity, heat and gas) in enabling or constraining power system flexibility. Several examples will be presented with illustrative case studies on current and future DMES practical applications, including technologies and concepts such as: combined heat and power (CHP); combined cooling, heat, and power (CCHP); electric heat pumps, electric boilers, and hybrid (electricity-gas) boilers and heat pumps; power-to-hydrogen and power-to-gas; integrated electricity-hydrogen virtual power plants; power-to-heat; building-to-grid flexibility; virtual energy storage; community energy systems; etc.

Part 1:General Aspects

  • Motivation to study multi-energy system (MES) flexibility
  • Distributed multi-energy systems (DMES)  
  • MES flexibility definitions and modelling aspects
  • MES flexibility features and canonical examples
  • MES flexibility maps
  • Role of multi-energy networks in flexibility assessment

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Part 2: Applications

  • Building-to-grid flexibility
  • Flexibility from community energy systems
  • Flexibility from multi-energy virtual power plants
  • Flexibility from power-to-gas
  • Grid services and techno-economic considerations
  • Planning for flexibility

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