Effect of Temperature-Dependent Degradation Models for Lithium-Ion Energy Storage Devices on Optimized Multiservice Portfolio Strategies
Nowadays the use of renewable energies are increasing their popularity. Since the availability of these resources might be limited due to environmental factors, the use of an energy storage device as part of the system is something to consider. On electricity markets, the use of storage systems beco...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Chile |
| OAI Identifier: | oai:repositorio.anid.cl:10533/209793 |
| Acceso en línea: | https://hdl.handle.net/10533/209793 |
| Access Level: | acceso abierto |
| Palabra clave: | Ingeniería y Tecnología Ingeniería Eléctrica, Ingeniería Electrónica, Informática Ingeniería Eléctrica y Electrónica |
| Sumario: | Nowadays the use of renewable energies are increasing their popularity. Since the availability of these resources might be limited due to environmental factors, the use of an energy storage device as part of the system is something to consider. On electricity markets, the use of storage systems becomes interesting since the possibility to obtain profit is latent. This research focuses on the integration of a revenue optimization strategy in conjunction with a degradation process model of a Li-ion battery, in order to quantify the economic benefit that the user can receive depending on how the storage device is operated. Since the operation of the storage device is subject to different market conditions, it becomes necessary to analyze the degradation process under these conditions. This means that the battery will not necessarily fully charge or discharge, in each cycle of operation. In this regard, defining a cycle becomes important since the usage of the storage device is highly variable. The degradation model was created using information available from the literature. This model is based on two summands, one of them having a major impact on the short term and the other one, on the long term of the lifespan. Furthermore, a methodology to estimate the degradation process of the batteries when operated under erratic state of charge conditions is included. In a first approach the information provided by a manufacturer is used, and with the support of escalating factors, and equivalent value for the Coulombic efficiency for each cycle is determined. Characterizing the degradation process according to the used state of charge show up to 3.4% additional cycles of operation. Afterwards, another similarity-based methodology to estimate the degradation process, by incorporating the discharge current and the state of charge levels is presented. Also, the effect of the temperature is included to illustrate the effect of usable capacity of a battery. Once the degradation model is established, it is combined with a mixed integer linear programming algorithm that maximizes the revenue obtained from selling different services. Several operation policies of the energy storage system were analyzed, giving as result different amount of operating hours and economic benefits for each case. It is important to mention that not necessarily operating the storage system freely will assure the maximum economic benefit to the owner. Constraining the state of charge and present nearly 18% of lower gross revenues per year. Moreover, within the case study, different external effects are also studied such as the intervention of a human operator that modifies the optimization strategy, sensitivity to changes in the demand or the energy prices. The effect of the temperature is also included and the reduction of the economic benefit is compared to the case where controlled temperature conditions are present. The effect of the temperature can affect up to 3% the gross revenues for this case due to the market conditions. |
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