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Authors: Tayyab Aslam and Naveed Arshad

Affiliation: Lahore University of Management Sciences, Pakistan

Keyword(s): Demand Side Management, AMI, Clustering.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Energy Management Systems (EMS) ; Energy-Aware Systems and Technologies ; Greener Systems Planning and Design ; Load Balancing in Smart Grids ; Renewable Energy Resources ; Smart Grids

Abstract: Matching demand and supply of electricity generation is difficult in a renewable-rich system. This is partly due to the long-term variability and short-term uncertainty of wind and solar. Utilities use several approaches to deal with the variations of renewable generation. Some of these include having extra fossil fuel based peaker plants, managing flexible loads using demand-side management, real-time pricing etc. In this paper, we present another approach to manage supply variations by introducing semi-flexible loads at the demand side. These semi-flexible loads are residential loads that cannot be shut down or be moved completely to another hour but have the possibility to shed a small percentage of their load for a short time. This approach called soft load shedding is challenging as residential customers have the multitude of energy usage patterns. In this paper we compare and contrast three soft load shedding techniques and discuss their strengths and shortcomings in matching t he demand with available supply. (More)

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Paper citation in several formats:
Aslam, T. and Arshad, N. (2018). Soft Load Shedding: An Efficient Approach to Manage Electricity Demand in a Renewable Rich Distribution System. In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-292-9; ISSN 2184-4968, SciTePress, pages 101-107. DOI: 10.5220/0006774001010107

@conference{smartgreens18,
author={Tayyab Aslam and Naveed Arshad},
title={Soft Load Shedding: An Efficient Approach to Manage Electricity Demand in a Renewable Rich Distribution System},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2018},
pages={101-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006774001010107},
isbn={978-989-758-292-9},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - Soft Load Shedding: An Efficient Approach to Manage Electricity Demand in a Renewable Rich Distribution System
SN - 978-989-758-292-9
IS - 2184-4968
AU - Aslam, T.
AU - Arshad, N.
PY - 2018
SP - 101
EP - 107
DO - 10.5220/0006774001010107
PB - SciTePress

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