Smart charging algorithms of electric vehicles considering the integration of distributed energy resources

Author(s)

Lucas Zenichi Terada

• Document type: Master's Dissertation
• Press: Campinas, SP.
• Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
• Defense date: 2023-10-31

Examining board members

Marcos Julio Rider Flores; João Andre Pinto Soares; Fernanda Caseño Trindade Arioli

• Advisor: Marcos Julio Rider Flores

Abstract

The rapid growth of Electric Vehicles (EVs) and Distributed Energy Resources (DERs) presents an opportunity to mitigate climate change. However, managing the combined operation of Electric Vehicle Charging Stations (EVCSs) and DERs in the Energy Distribution System (EDS) requires intelligent approaches to preserve operational limits and promote local renewable energy sources. This paper presents two business model approaches for the Charge Point Operator (CPO), considering two distinct scenarios. The first scenario represents a public infrastructure of isolated EVCSs or systems where dynamic control is unnecessary. Conversely, the second scenario corresponds to more complex systems with a sufficiently high DER penetration, necessitating more sophisticated control. For the first scenario, a centralized algorithm was proposed to assess the usability and availability of renewable energy sources in EVCSs, thereby suggesting policies to the CPO as an alternative for managing less complex systems. In the second scenario, a dynamic control model was introduced to adjust EV charging in real-time, considering real-time measured data, photovoltaic (PV) system generation forecasts, and uncontrollable loads. Simulations for the first scenario demonstrated that the policies could respond to the EVCS usage rate and provide the CPO with an energy management alternative for their EVCSs. Regarding the second scenario, the results showcased the effectiveness of the algorithm and model in optimizing the use of renewable energy for EV charging. The rolling horizon-based methodology proved adaptable to the dynamism of public EV charging in parking lots (AU)

• FAPESP's process: 20/13002-5 - Smart Recharge Algorithm for Electric Vehicles Considering the Integration of Distributed Electrical Resources: Microservice for IoT Electromobility Platforms
• Grantee: Lucas Zenichi Terada
• Support Opportunities: Scholarships in Brazil - Master