Work

Optimised Allocation of Distributed Generation and Electric Vehicles Integration in Microgrids: A Multi‐Criteria Approach

Year: 2025

Type: article

Abstract: ABSTRACT This paper presents the allocation and planning of renewable distributed generations such as wind turbines and photovoltaic systems, and non‐renewable generators such as fuel cells in the microgrids that incorporate electric vehicle parking lots while considering financial, operational and voltage stability goals. The proposal is modelled in the form of a bi‐objective optimisation problem. One of the objective functions minimises the distributed generators’ planning cost and the microgrid's operational cost, while the other function maximises the microgrid's voltage stability index. The optimisation problem is solved, satisfying technical constraints of power flow, network operational, and voltage stability limits while incorporating the models of the electric vehicles parking lots and distributed resources. The ε‐constraint‐based Pareto optimisation solution is used to determine a single‐objective formulation in the next step. Then, a fuzzy decision‐making tool derives a compromise solution. Finally, the Crow Search algorithm finds a trustable optimal solution to the problem. The performance of the proposal is validated on a standard microgrid network using numerical analyses and shows that the proposal can effectively determine the optimal economic conditions.

Source: IET Renewable Power Generation

DOI: 10.1049/rpg2.70042

Authors: Mehdi Veisi, Daniel Sahebi, Mazaher Karimi, Farhad Shahnia

Institutions: Islamic Azad University Sanandaj Branch, Vaasa University of Applied Sciences, University of Vaasa, Murdoch University

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,500