Estimating required flexibility for secure distribution grid operation considering the uncertainties of EV and PV

TL;DR

This paper presents a linear model and a feasibility-based method to estimate the flexibility needed for secure distribution grid operation amid uncertainties from EVs and PV generation, using real grid data.

Contribution

It introduces a novel linear modeling and feasibility approach to quantify required grid flexibility considering PV and EV uncertainties, validated on real data.

Findings

Effective flexibility estimation for uncertain renewable and EV loads.

Validation on real low voltage distribution system data.

Framework for secure grid operation under bi-uncertain conditions.

Abstract

Renewable energy productions and electrification of mobility are promising solutions to reduce greenhouse gas emissions. Their effective integration in a power grid encounters several challenges. The uncertain nature of renewable energy productions as well as stochastic consumptions of electric vehicles introduce remarkable intermittency to a distribution grid and results in bi-uncertain characteristics of both supply and demand sides. One way to verify the secure grid operation within acceptable voltage and loading levels is to assess its required flexibility considering possible boundaries of uncertain variables. In this paper, first a comprehensive linear model of distribution grid considering all pertaining constraints is presented. Then, a flexibility estimation technique is proposed based on the feasibility study of the uncertain space of photovoltaic power productions and load containing electric vehicles. The proposed methodology uses grid monitoring data to determine grid state and to model uncertain parameters. The model is applied on a real low voltage (LV) system equipped with grid monitoring devices.