Work

Optimal Charging Algorithm Based on Receding Horizon Framework for Electric Two-Wheeler Charging Stations

Year: 2025

Type: article

Abstract: In Vietnam urban traffic, electric two-wheelers have emerged as a potential alternative to gasoline-powered motorcycles. Thus, charging infrastructure for electric two-wheelers is being in the front line of research and development. Moreover, high rooftop power potential and the encouragement of self-generation-self-consumption propel the need for photovoltaic-integrated charging solutions which in turn might pose technical challenges relating to optimal charging operation. In this work, an optimal real-time scheduling algorithm for photovoltaic-integrated electric two-wheeler charging stations is proposed. The algorithm aims at improving the total load profile as well as load leveling, peak shaving and valley filling. By leveraging receding horizon framework combined with grouping approach, the proposed algorithm can effectively perform optimal scheduling while covering the uncertainties of arrival/ departure and energy level variation of vehicles. The effectiveness of the algorithm is verified and analyzed through various case studies and operation scenarios.

Source: IEEE Access

DOI: 10.1109/access.2025.3591193

Authors: Van Nguyen Ngoc, Duc Nguyen Huu

Institution: Electric Power University

Language: English

Topic: Electric Vehicles and Infrastructure

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $2,075