Storage Management in Modern Electricity Power Grids

TL;DR

This paper presents a probabilistic model for managing energy storage in electricity grids, accounting for stochastic generation and demand, to improve self-management algorithms at household or group levels.

Contribution

It introduces a novel equation linking storage levels to stochastic supply and demand, enabling probabilistic assessment of storage sufficiency in power grids.

Findings

Provides a method to estimate probability of storage overflow or shortage

Enables development of self-management algorithms for micro and meso-level grids

Offers a simple yet effective approach for energy storage management

Abstract

This letter introduces a method to manage energy storage in electricity grids. Starting from the stochastic characterization of electricity generation and demand, we propose an equation that relates the storage level for every time-step as a function of its previous state and the realized surplus/deficit of electricity. Therefrom, we can obtain the probability that, in the next time-step: (i) there is a generation surplus that cannot be stored, or (ii) there is a demand need that cannot be supplied by the available storage. We expect this simple procedure can be used as the basis of electricity self-management algorithms in micro-level (e.g. individual households) or in meso-level (e.g. groups of houses).