Design of management dashboard (smart electric grids)

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Presentation for my Final year Design Project at Dept. of Design IIT Guwahati. The aim of this project is to allow efficient management of smart electricity grids in rural as well as urban areas primarily by catering the needs of engineers and technicians involved in monitoring and controlling the grid parameters for a huge and self sustaining electricity network

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  • Distributed generation is the use of small-scale power generation technologieslocated close to the load being served, capable of lowering costs, improvingreliability, reducing emissions and expanding energy options.
  • Design of management dashboard (smart electric grids)

    1. 1. Management of Smart Electricity Grids A dashboard to monitor and control power in a way of the future. Final Year Design Project by: Jatin Pherwani (Final Year B.Des) Guided by Prof. Pradeep Yammiyavar (Head, CET, IIT Guwahati)
    2. 2. Aim : this project is to allow efficient management of smart electricity grids.
    3. 3. distributed generation smart grids = efficient distribution intelligent secure
    4. 4. Problem ? How do we know what occurs within the grid ? Answers lie in the Data Visualizations of an immense amount of data produced by an established network of information in the electricity grids. 1. Design of Dynamic Infographs
    5. 5. What do we do once the events in a grid are visible ? We take decisions and actions to make sure the grid remains healthy and those bulbs in each of our homes keep shining. 2. Design of Dashboard
    6. 6. Objectives • To study the smart electricity grid phenomena holistically. • Perform a thorough need analysis at the management end of the grid network • Visualize the data generated from the use of smart grid (by making comprehensible dynamic info graphs) • Design a wholesome dashboard which can assist easy and quick decision making. • Test the proposed concept with the users in their work environment. • Explore new visualization mediums to depict the same information.
    7. 7. Methodology 1. Background Study and Secondary research 1.1 Literature Review 1.2 Subject Matter Expert (SME) interviews 3. Design 3.1 3.2 3.3 3.4 Data gathering / analysis Ideate visualizations Prototype concepts Wireframe dashboard structure. 2. User requirement analysis 2.1 2.2 2.3 2.4 2.5 Workstation observations Contextual Interviews Task analysis and Card sorting User personas Use case scenarios 4. Evaluate 3.1 System Usability Scale 3.2 Eye Tracking 3.3 Task Performance Analysis
    8. 8. SME Interviews 1. Assistant professor (Dr.) Praveen Kumar at the Dept. of Electrical Engineering IIT Guwahati. Many observations were made, a few proved to be very insightful in the further design. 2. Mr. H.C. Phukan, Chief General Manager at the State Load Dispatch Center(SLDC), Kahilipara Assam.
    9. 9. Workstation Observations The field visits covered observation sessions at the users actual workplace, in our case being the State Load Dispatch center, Kahilipara in Guwahati, Assam. The center is one of the 18 present in the entire nation and is responsible for all electricity transmission, distribution and electric grid related regulations of the North-East Grid, one of the 5 major grids of the country.
    10. 10. Contextual Interviews Mr. Jatinder Baishya is the Assistant General Manager at the Load Dispatch division in SLDC Assam. Other than holding a bachelors degree in electrical engineering, he has had a 3 month training for handling SCADA systems used in huge electrical networks. Most of his days at the office are busy, however he agreed to give us a couple of appointments to discuss the his role in the management of the electricity grids in the state.
    11. 11. Present Visualizations and Dashboards Line Diagrams : These are reduced versions of the electricity grid’s physical components like transmission lines, transformers, substations and power stations. All information is mediated by SCADA (Supervisory Control and Data Acquisition) Import – Export Power Tables : The column charts depict the state of generation and supply of power to various end points.
    12. 12. Present Visualizations and Dashboards Frequency Regulation : The grid at any point has a specific frequency at which the power is being generated and injected into it. This is the average of generating frequencies of all the power stations in the grid. Data Charts and Archives : The power distribution authorities have a set of protocols, which every grid managing organization must follow.
    13. 13. A few Consolidated Insights. Abstraction of Line diagrams : Looking at so much of coded information, taking a decisions in a quick glance is difficult for the engineers. The overlapping of lines and excess chart junk present in these diagrams, increase the cognitive workload of the users resulting in errors and taking more time to act on a situation. Visualizing the Input Output Table : The scheduling of load dispatch occurs viewing at this table, certainly it can help in a better decision making, if backed with a comprehensive visualization. Monitoring Frequency at power station Levels : Where the overall state of a grid is represented by the average frequency, at generation levels it has huge variations which may be depicted by visualizations. Instant Scheduling and load shedding : Allowing engineers and managers to schedule loads for coming time and force load shedding when required. Integrated Communication system for smooth operations : An instant communication system between the RLDCs, NLDCs and substations shall keep everyone on the same table. Inclusion of archives and protocols often used : All decisions pertaining to load shedding and scheduling are supported by written documents and protocols which are often referred. Also used are previous archives of grid behavior and short term load forecasting (STLF) files.
    14. 14. Concepts (Data Visualization)
    15. 15. Concepts (Dashboard Design)
    16. 16. Insights from Task Analysis 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. Monitor bilateral power supply agreement. Scheduling for Merit Order Dispatch. Restoration procedure planning and implementation. Coordination with RLDC and other constituents Maintaining system frequency in 49.0Hz to 50.5Hz. Regulating Generation Load Balance. Schedule for Central Sector Drawl & Regulate it. Load Shedding implementation. Send notices to substations and public Demand Estimation for operational purpose. Unscheduled Interchangeability Rate. . Schedule Scheduling for Merit Order Dispatch. Regulating Generation Load Balance. Schedule for Central Sector Drawl & Regulate it. Load Shedding implementation. Archiving and Referral Restoration procedure planning and implementation. Monitor bilateral power supply agreement. Demand Estimation for operational purpose. Monitor Maintaining system frequency in 49.0Hz to 50.5Hz. Unscheduled Interchangeability Rate Communicate Coordination with RLDC and other constituents Send notices to substations and public
    17. 17. Use Case scenario Looking at the system status. Notices exception in power consumption Look at the Archives Load Shed Allot more power
    18. 18. Methodology 1. Background Study and Secondary research 1.1 Literature Review 1.2 Subject Matter Expert (SME) interviews 3. Design 3.1 3.2 3.3 3.4 Data gathering / analysis Ideate visualizations Prototype concepts Wireframe dashboard structure. 2. User requirement analysis 2.1 2.2 2.3 2.4 2.5 Workstation observations Contextual Interviews Task analysis and Card sorting User personas Use case scenarios 4. Evaluate 3.1 System Usability Scale 3.2 Eye Tracking 3.3 Task Performance Analysis
    19. 19. Acknowledgements I express my sincere gratitude to the following people and authorities for their cooperation in my project’s field study and expert consultation. • Assistant professor (Dr.) Praveen Kumar (Dept. of Electrical Engineering IIT Guwahati). • The Assam State Electricity Board ASEB substation (IIT Gate). • Engineers at State Load Dispatch Centre (SLDC), Assam. • Mr. H.C. Phukan, Chief General Manager(SLDC) Mr. Jatinder Baishya, Assistant General Manager(LDC) • Mr. Abhishek Singh, my classmate for his help in prototyping
    20. 20. References • U.S. Department of Energy. "Smart Grid / Department of Energy". Retrieved August 20, 2013. • Jump up "Smart Grids European Technology Platform | www.smartgrids.eu". smartgrids.eu. 2011 [last update]≤. Retrieved August 11, 2013. • Visualizing the Electric Grid BY THOMAS J . OVERBYE University of Illinois at Urbana-Champaign & JAMES D. WEBER PowerWorld Corp. • Smart Grid Analytics Aaron DeYonker VP of Products @ eMeter, a Siemens Business • LiveData SmartGrid Manager report Exploring the imperative of revitalizing America’s electric infrastructure. (prepared for the U.S. Department of Energy by Litos Strategic Communication under contract No. DE-AC26-04NT41817, Subtask 560.01.04) • Visualizing Energy Resources Dynamically on Earth Arjun Shankar1, PhD John Stovall2, Steve Fernandez1, Rangan Sukumar1, Alex Sorokine1, and Femi Omitaomu1 1Computational Sciences; 2Energy Sciences Oak Ridge National Laboratory
    21. 21. Thank You.

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