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Vol. 5 No. 3 (2026): In Press

Stochastic energy management strategy for microgrid-connected electric vehicle charging infrastructure

Bhagyashri Govindrao Sherkhane
AISSMS College of Engineering, Pune, India
Sudarshan L. Chavan
JSPM Rajarshi Shahu College of Engineering, Pune, India
Aishwrya A. Apte
AISSMS College of Engineering, Pune, India

Corresponding Author(s) : Bhagyashri Govindrao Sherkhane

bgsherkhane@gmail.com

Future Energy, Vol. 5 No. 3 (2026): In Press

Abstract

Ensuring the reliability and stability of standalone microgrids (MGs) is fundamental to the effective integration of renewable energy sources, which are inherently uncertain. This work presents a stochastic optimization model using mixed-integer linear programming (MILP) to determine the optimal operation of electric vehicle charging stations (EVCS) with transactive control, emphasizing the balance between economic efficiency and system reliability. As a result, deploying EVCS will become a vital strategy for integrating renewable energy. An innovative method for supplying electric power from EV fleets involves using transportation networks as additional infrastructure. This article proposes that transportation networks, EVCS, and MGs can be optimally scheduled under uncertain photovoltaic (PV) generation using transactive control. The stochastic optimization problem is formulated as a mixed-integer nonlinear program and implemented in a moving-horizon framework for real-time onboard operation. The framework is tested on the IEEE 30-bus transmission network. The results show the efficiency of the proposed framework as an improvement tool for economic performance and operational stability in renewable-integrated power markets, and it reduces peak loads through the coordinated charging and discharging of vehicles.

Keywords

Electric vehicles Microgrid Stochastic optimization Photovoltaic Mixed-integer non-linear programming
Sherkhane, Bhagyashri Govindrao, Sudarshan L. Chavan, and Aishwrya A. Apte. 2026. “Stochastic Energy Management Strategy for Microgrid-Connected Electric Vehicle Charging Infrastructure”. Future Energy 5 (3):11-24. https://fupubco.com/fuen/article/view/1102.
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