Distributed energy storage aggregation, quantitative evaluation of replicability and scalability

Andrea Michiorri (1)

1 PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques

The paper presents the results of a study on replicability and scalability carried out within the SENSIBLE project. In this study a simplified methodology for simulating the behaviour of a market based distributed energy storages coordination has been implemented. Attention has been paid to capture the core of the problems without falling into excessive details of the different solutions (centralised, decentralised) developed. After this, data have been gathered or simulated for a large number of necessary datasets, including electricity consumption in different neighbours, electricity wholesale and retail prices, in six European countries. Central to this stage has been the use of BUS (Bottom Up Simulator) a load profiles simulator developed at MINES ParisTech which has been used to simulate load curves in the different European countries considering historical local weather conditions. Index Terms-Energy storage, Batteries, Power system management I. INTRODUCTION Scalability and replicability are relevant concepts for the evaluation of the benefits of innovative solutions. The attention on these concepts is especially high in R&D projects, where solutions are developed and tested in limited demonstrators. In order to understand the potential of the solutions tested, an evaluation of their performance in other conditions is therefore necessary, but extremely difficult due to the complex nature of the problem. According to [1] both problems can be seen as the result of the interaction of four quite diverse factors: 1) technical, 2) economic, 3) regulatory and 4) acceptance. For this reason evaluations of replicability and scalability have been conducted though surveys or discussions with experts such as in [1], [2] and [3].

Domaines: Energie électrique

Andrea Michiorri. Distributed energy storage aggregation, quantitative evaluation of replicability and scalability. 2019 IEEE Milan PowerTech, Jun 2019, Milan, Italy. pp.1-5, ⟨10.1109/PTC.2019.8810868⟩. ⟨hal-02437100⟩