Limiting Energy Storage Cycles of Operation

Md Umar Hashmi (1, 2) , Ana Bušić (1, 2)

1 DYOGENE - Dynamics of Geometric Networks
2 LINCS - Laboratory of Information, Network and Communication Sciences

Batteries are an expensive form of energy storage, therefore, must be operated in an efficient manner. Battery life is often described a combination of cycle life and calendar life. In this work we propose a mechanism to limit the number of cycles of operation over a time horizon in a computationally efficient manner. We propose a modification in an optimal arbitrage algorithm proposed in our previous work [1] to efficiently control the number of cycles of operation of a battery. The cycles of operation have to be tuned based on price volatility to maximize the battery life and arbitrage gains. We propose a mechanism to distinguish arbitrage returns.

Domaines: Energie électrique; Systèmes et contrôle [cs.SY]

Md Umar Hashmi, Ana Bušić. Limiting Energy Storage Cycles of Operation. 10th IEEE Green Technologies Conference (GreenTech 2018), Apr 2018, Austin, TX, United States. ⟨10.1109/GreenTech.2018.00022⟩. ⟨hal-01806487⟩