A Smart Demand-Side Management Framework for Residential Communities with Electric Vehicles

The growing adoption of electric vehicles (EV s) in the automotive sector offers significant opportunities to transform the power industry. The full potential of EV s can be harnessed to improve grid operations, optimize energy management, and reduce energy costs. This paper proposes a Smart Demand-Side Management (SDM) framework for residential communities with EVs to 1) reduce the charging cost in a Real-Time Pricing (RTP) tariff environment, 2) obtain more Demand Response (DR) incentives without sacrificing the comfort, and 3) fairly allocate the community charging infrastructure. The former two operates at individual residences level and the last one suitable for community level management. In all these cases, by leveraging Vehicle- To-Grid (V2G) technology, the system enables EV s to discharge power back to the grid during high-demand periods, effectively managing peak-load hours and providing users with cost-saving opportunities. The proposed SDM framework is tested on MATLAB programming platform with linprog solver for various test cases and found to be significantly effective for all three objectives.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/icgea64602.2025.11009388
Primary Topic
Transportation and Mobility Innovations
Type
article
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A Smart Demand-Side Management Framework for Residential Communities with Electric Vehicles

Dipti Srinivasan, Shitikantha Dash, Yuan Xinrui, Ren Ke Kang et al.
Transportation and Mobility Innovations
article

A Smart Demand-Side Management Framework for Residential Communities with Electric Vehicles

Dipti Srinivasan, Shitikantha Dash, Yuan Xinrui, Ren Ke Kang, Erwin Idris Lim Sheng, Darius Koh Bing Lun
article en

Abstract

The growing adoption of electric vehicles (EV s) in the automotive sector offers significant opportunities to transform the power industry. The full potential of EV s can be harnessed to improve grid operations, optimize energy management, and reduce energy costs. This paper proposes a Smart Demand-Side Management (SDM) framework for residential communities with EVs to 1) reduce the charging cost in a Real-Time Pricing (RTP) tariff environment, 2) obtain more Demand Response (DR) incentives without sacrificing the comfort, and 3) fairly allocate the community charging infrastructure. The former two operates at individual residences level and the last one suitable for community level management. In all these cases, by leveraging Vehicle- To-Grid (V2G) technology, the system enables EV s to discharge power back to the grid during high-demand periods, effectively managing peak-load hours and providing users with cost-saving opportunities. The proposed SDM framework is tested on MATLAB programming platform with linprog solver for various test cases and found to be significantly effective for all three objectives.

National University of Singapore (SG)
Sustainable cities and communities
Openalex Percentile: Top 88%
Transportation and Mobility Innovations
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