Matching Intermittent Electricity Supply and Load with Energy Storage: an Optimization Based on a Time Scale Analysis

EasyChair Preprint 3472

Abstract

The rising share of Variable Renewable Energy Sources (VRES) in the electricity generation mix leads to new challenges for the whole energy system. It especially raises technological issues to handle variability and to match electricity load with supply at all times. This study introduces a new methodology to quantify the relevance of different electricity storage technologies, based on a time scale analysis. It additionally provides an understanding of how electricity storages work in combination to handle variable load and intermittent generation. First, we set up a simple model of variable production, fluctuating over a single time-scale. This analysis gives figure of merit for electricity storage and curtailment. Second, we simulate the collaboration and competition behaviour of various storages with a dual time-scale signal. Then, results are compared with the optimization of an energy system with real variable electricity supply and consumption time-series. We eventually highlight the trade-of mechanisms between the storage efficiency and its investment cost.

Keyphrases: Energy system optimization, Variable Renewable Energy Sources, energy storage, flexibility, intermittent renewable energy sources, time scale

@booklet{EasyChair:3472,
  author    = {Arthur Clerjon and Fabien Perdu},
  title     = {Matching Intermittent Electricity Supply and Load with Energy Storage: an Optimization Based on a Time Scale Analysis},
  howpublished = {EasyChair Preprint 3472},
  year      = {EasyChair, 2020}}