Optimal combination of energy storages for prospective power supply systems based on Renewable Energy Sources
Stefan Weitemeyer, David Kleinhans, Lars Siemer, Carsten Agert

TL;DR
This paper presents a systematic modeling approach to optimize the combination of energy storage and backup power in future renewable-based power systems, ensuring continuous electricity supply despite high variability.
Contribution
It introduces a novel, cost-optimized method for selecting storage and backup capacities using multi-year meteorological data, independent of backup plant full-load hours.
Findings
Storage or backup capacities need to match average load for system balance.
Some years require only excess capacities without additional storage or backup.
Societal electricity needs can be met by over-capacities, balancing backup, storage, and generation.
Abstract
Prospective power supply systems based on Renewable Energy Sources require measures to balance power generation and load at all times. The utilisation of storage devices and backup power plants is widely suggested for this purpose, whereas the best combination is still to be found. In this work, we present a modelling approach to systematically study scenarios of future power supply systems with a high share of electricity originating from wind and solar resources. By considering backup as a subordinate source of electricity with energy-only costs, the approach is independent of the actual full-load hours of the backup power plants. Applying the approach to multi-year meteorological data for Germany, cost-optimised combinations of storage devices and backup power are identified. We find that even in scenarios with significant excess generation capacities there is a need for storage…
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