Identification and Quantification of the Flexibility Potential of a Complex Industrial Process for Ancillary Services Provision

Sylvain Ledur (1, 2) , Robin Molinier (2) , Fabrizio Sossan (1) , Jean-Christophe Alais (2) , Moulay Driss El Alaoui Faris (2) , Georges Kariniotakis (1)

1 PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques
2 Air Liquide, Paris Innovation Campus

As the share of variable renewable energy sources in the electricity generation mix increases, so does the need for power system flexibility. Demand side flexibility has been identified as a great opportunity to facilitate the integration of this volatile production. An important part of demand side flexibility is the modulation of the consumption of industrial processes. With the emergence of ancillary services markets, operating industrial processes in a flexible manner might generate additional value. This paper proposes a flexibility assessment tool to quantify the potential of a given industrial plant for grid services provision. We start by formulating the feasible operating region of a given industrial asset, generating a set of operating points and their corresponding power ramping potential. A weekly simulation is then performed which leads to a set of most-observed operating points, themselves leading to a set of potential ancillary services bids from the industrial process.

Mots clés: Ancillary Services Provision; Flexibility Quantification; Flexibility Valorisation; Multi-product Industrial process; Industrial flexibility; Smart Grid; Electricity markets

Domaines: Energie électrique; Optimisation et contrôle [math.OC]; Probabilités [math.PR]; Statistiques [math.ST]; Applications [stat.AP]; Machine Learning [stat.ML]

Sylvain Ledur, Robin Molinier, Fabrizio Sossan, Jean-Christophe Alais, Moulay Driss El Alaoui Faris, et al.. Identification and Quantification of the Flexibility Potential of a Complex Industrial Process for Ancillary Services Provision. PSCC'2022, 22nd Power Systems Computation Conference, Jun 2022, Porto, Portugal. ⟨hal-03734476⟩