Abstract
Despite the increasing interest in Energy Storage Systems (ESS), quantification of their technical and economical benefits remains a challenge. To assess the use of ESS, a simulation approach for ESS optimal sizing is presented. The algorithm is based on an adapted Unit Commitment, including ESS operational constraints, and the use of high performance computing (HPC). Multiple short-term simulations are carried out within a multiple year horizon. Evaluation is performed for Chile's Northern Interconnected Power System (SING). The authors show that a single year evaluation could lead to sub-optimal results when evaluating optimal ESS size. Hence, it is advisable to perform long-term evaluations of ESS. Additionally, the importance of detailed simulation for adequate assessment of ESS contributions and to fully capture storage value is also discussed. Furthermore, the robustness of the optimal sizing approach is evaluated by means of a sensitivity analyses. The results suggest that regulatory frameworks should recognize multiple value streams from storage in order to encourage greater ESS integration.
Highlights
Energy targets and support policies have acted as a driving force in the increased adoption of renewable energy
This paper presents a simulation approach to the determination of optimal Energy Storage Systems (ESS) sizing, based on Unit Commitment (UC)
Using the simulation framework presented, it is possible to determine the impacts of ESS and compare technologies for different applications
Summary
Energy targets and support policies have acted as a driving force in the increased adoption of renewable energy. It is foreseen that the increased integration of variable and partially dispatchable energy sources will call for greater flexibility in the operation and planning of power systems [2]. Options such as demand-side management, improved forecasting, cross-border interconnection and Energy Storage. Systems (ESS) have been identified as a promising alternatives for addressing current and future challenges posed by large scale incorporation of variable renewables [3,4,5,6]. ESS are suitable for several applications to support integration of renewable energy.
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