Linear energy storage and flexibility model with ramp rate, ramping, deadline and capacity constraints

The power networks are evolving with increased active components such as energy storage and flexibility derived from loads such as electric vehicles, heat pumps, industrial processes, etc. Better models are needed to accurately represent these assets; otherwise, their true capabilities might be over or under-estimated. In this work, we propose a new energy storage and flexibility arbitrage model that accounts for both ramp (power) and capacity (energy) limits, while accurately modelling the ramp rate constraint. The proposed models are linear in structure and efficiently solved using off-the-shelf solvers as a linear programming problem. We also provide an online repository for wider application and benchmarking. Finally, numerical case studies are performed to quantify the sensitivity of ramp rate constraint on the operational goal of profit maximization for energy storage and flexibility. The results are encouraging for assets with a slow ramp rate limit. We observe that for resources with a ramp rate limit of 10% of the maximum ramp limit, the marginal value of performing energy arbitrage using such resources exceeds 65% and up to 90% of the maximum profit compared to the case with no ramp rate limitations.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863034
Citations
1
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.49

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article

Linear energy storage and flexibility model with ramp rate, ramping, deadline and capacity constraints

Aleen van der Meer, Dirk Van Hertem, Andrew Keane, Md Umar Hashmi
1 citations
Parallel Computing and Optimization Techniques
0.49
article

Linear energy storage and flexibility model with ramp rate, ramping, deadline and capacity constraints

Aleen van der Meer, Dirk Van Hertem, Andrew Keane, Md Umar Hashmi
article en
1 citations

Abstract

The power networks are evolving with increased active components such as energy storage and flexibility derived from loads such as electric vehicles, heat pumps, industrial processes, etc. Better models are needed to accurately represent these assets; otherwise, their true capabilities might be over or under-estimated. In this work, we propose a new energy storage and flexibility arbitrage model that accounts for both ramp (power) and capacity (energy) limits, while accurately modelling the ramp rate constraint. The proposed models are linear in structure and efficiently solved using off-the-shelf solvers as a linear programming problem. We also provide an online repository for wider application and benchmarking. Finally, numerical case studies are performed to quantify the sensitivity of ramp rate constraint on the operational goal of profit maximization for energy storage and flexibility. The results are encouraging for assets with a slow ramp rate limit. We observe that for resources with a ramp rate limit of 10% of the maximum ramp limit, the marginal value of performing energy arbitrage using such resources exceeds 65% and up to 90% of the maximum profit compared to the case with no ramp rate limitations.

University College Dublin (IE), KU Leuven (BE)
Agentschap Innoveren en Ondernemen, Vlaamse regering
Affordable and clean energy
Openalex Percentile: Top 31%
Parallel Computing and Optimization Techniques
0.49
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Linear energy storage and flexibility model with ramp rate, ramping, deadline and capacity constraints — Aleen van der Meer, Dirk Van Hertem, et al. · (2024) | TGRS Research Map | TGRS