Dynamic Pricing Based and Electric Vehicle Assisted Demand Response Strategy



Luo, Xing, Zhu, Xu ORCID: 0000-0002-7371-4595 and Lim, Eng Gee ORCID: 0000-0003-0199-7386
(2017) Dynamic Pricing Based and Electric Vehicle Assisted Demand Response Strategy. In: 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017-10-23 - 2017-10-27.

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Abstract

The usage of EVs as energy storage units via vehicle-to-home (V2H) provides an effective solution to load shaping at the end-user premises since it enables householder to alleviate the load burden of power grid and save bills simultaneously. In this paper, an innovative demand response (DR) strategy with an EV auxiliary power supply (EV-APS) model is proposed, to jointly optimize the household appliance scheduling and economic cost based on dynamic pricing (DP). The proposed DR strategy takes account of the comprehensive impacts of EVs charging behaviors, user preferences, distributed generation and load priority. The effectiveness of the proposed DR strategy is verified by numerical results in terms of load balancing and cost reduction. It also significantly outperforms the previous DR approaches.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: 7 Affordable and Clean Energy
Depositing User: Symplectic Admin
Date Deposited: 21 Aug 2018 09:44
Last Modified: 16 Mar 2024 23:29
DOI: 10.1109/smartgridcomm.2017.8340691
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3025332