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Impact of Scheduling Flexibility on Demand Profile Flatness and User Inconvenience in Residential Smart Grid System

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  • Naveed Ul Hassan

    (Department of Electrical Engineering, School of Science and Engineering, Lahore University of Management Sceiences (LUMS), Lahore 54000, Pakistan)

  • Muhammad Adeel Pasha

    (Department of Electrical Engineering, School of Science and Engineering, Lahore University of Management Sceiences (LUMS), Lahore 54000, Pakistan)

  • Chau Yuen

    (Engineering Product Development Department, Singapore University of Technology and Design (SUTD), Singapore)

  • Shisheng Huang

    (Engineering Product Development Department, Singapore University of Technology and Design (SUTD), Singapore)

  • Xiumin Wang

    (School of Computer and Information, Hefei University of Technology, Hefei 230000, China)

Abstract

The objective of this paper is to study the impact of scheduling flexibility on both demand profile flatness and user inconvenience in residential smart grid systems. Temporal variations in energy consumption by end users result in peaks and troughs in the aggregated demand profile. In a residential smart grid, some of these peaks and troughs can be eliminated through appropriate load balancing algorithms. However, load balancing requires user participation by allowing the grid to re-schedule some of their loads. In general, more scheduling flexibility can result in more demand profile flatness, however the resulting inconvenience to users would also increase. In this paper, our objective is to help the grid determine an appropriate amount of scheduling flexibility that it should demand from users, based on which, proper incentives can be designed. We consider three different types of scheduling flexibility (delay, advance scheduling and flexible re-scheduling) in flexible loads and develop both optimal and sub-optimal scheduling algorithms. We discuss their implementation in centralized and distributed manners. We also identify the existence of a saturation point. Beyond this saturation point, any increase in scheduling flexibility does not significantly affect the flatness of the demand profile while user inconvenience continues to increase. Moreover, full participation of all the households is not required since increasing user participation only marginally increases demand profile flatness.

Suggested Citation

  • Naveed Ul Hassan & Muhammad Adeel Pasha & Chau Yuen & Shisheng Huang & Xiumin Wang, 2013. "Impact of Scheduling Flexibility on Demand Profile Flatness and User Inconvenience in Residential Smart Grid System," Energies, MDPI, vol. 6(12), pages 1-28, December.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:12:p:6608-6635:d:31474
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    References listed on IDEAS

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    1. Centolella, Paul, 2010. "The integration of Price Responsive Demand into Regional Transmission Organization (RTO) wholesale power markets and system operations," Energy, Elsevier, vol. 35(4), pages 1568-1574.
    2. Richard Korf & Michael Moffitt & Martha Pollack, 2010. "Optimal rectangle packing," Annals of Operations Research, Springer, vol. 179(1), pages 261-295, September.
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    Cited by:

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    2. Hessam Golmohamadi, 2022. "Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    3. Ihsan Ullah & Muhammad Babar Rasheed & Thamer Alquthami & Shahzadi Tayyaba, 2019. "A Residential Load Scheduling with the Integration of On-Site PV and Energy Storage Systems in Micro-Grid," Sustainability, MDPI, vol. 12(1), pages 1-36, December.
    4. Beaudin, Marc & Zareipour, Hamidreza, 2015. "Home energy management systems: A review of modelling and complexity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 318-335.
    5. Seong-Kyu Kim & Jun-Ho Huh, 2018. "A Study on the Improvement of Smart Grid Security Performance and Blockchain Smart Grid Perspective," Energies, MDPI, vol. 11(8), pages 1-22, July.
    6. Muhammad Saidu Aliero & Muhammad Asif & Imran Ghani & Muhammad Fermi Pasha & Seung Ryul Jeong, 2022. "Systematic Review Analysis on Smart Building: Challenges and Opportunities," Sustainability, MDPI, vol. 14(5), pages 1-28, March.
    7. Sadiq Ahmad & Ayaz Ahmad & Muhammad Naeem & Waleed Ejaz & Hyung Seok Kim, 2018. "A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid," Energies, MDPI, vol. 11(10), pages 1-33, October.
    8. Luis Hernández-Callejo, 2019. "A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids," Energies, MDPI, vol. 12(9), pages 1-50, April.
    9. Sam Weckx & Reinhilde D'hulst & Johan Driesen, 2015. "Locational Pricing to Mitigate Voltage Problems Caused by High PV Penetration," Energies, MDPI, vol. 8(5), pages 1-22, May.

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