Abstract
Energy storage systems will play a major role in the decarbonization of future sustainable electric power systems, allowing a high penetration of distributed renewable energy sources and contributing to the distribution network stability and reliability. To accomplish this, a storage system is required to provide multiple services such as self-consumption, grid support, peak-shaving, etc. The simultaneous activation of controllers operation may lead to conflicts, as a consequence the execution of committed services is not guaranteed. This paper presents and discusses a solution to the exposed issue by developing an engineering support approach to semi-automatically detect and handle conflicts for multi-usage storage systems applications. To accomplish that an ontology is developed and exploited by model-driven engineering mechanisms. The proposed approach is evaluated by implementing a use case example, where detection of conflicts is automatically done at an early design stage. Besides this, exploitable source code for conflicts resolution is generated and used during the design and prototype stages of controllers development. Thus, the proposed engineering support enhances the design and development of storage system controllers, especially for multi-usage applications.
Highlights
A sustainable electric power supply requires the integration of renewable, Distributed Energy Resources (DER) [1]
This information is used as a basis to establish a data model for an automatic investigation of conflicts, an ontology aligned with the Smart Grid Architecture Model (SGAM) model and the use case templates suggested by the smart grid coordination group—sustainable processes in [28], is developed (i.e., Energy Management System (EMS)-ontology)
This paper proposes an extension of the actual EMS-ontology to implement the mentioned specific/general handling solutions
Summary
A sustainable electric power supply requires the integration of renewable, Distributed Energy Resources (DER) [1]. The current work proposes a methodology for a semi-automatic identification and handling of conflicts within a multi-use ESS, this process is carried out during the specification stage. This methodology is used as a support for the rapid prototyping of ESS control applications. A preliminary idea that foster the mentioned statement is briefly outlined in [11] It proposes a first version of a SGAM-based data model for a partial identification of conflicts within a multi-use ESS application.
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