Abstract
A significant integration of energy storage systems is taking place to offer flexibility to electrical networks and to mitigate side effects of a high penetration of distributed energy resources. To accommodate this, new processes are needed for the design, implementation, and proof-of-concept of emerging storage systems services, such as voltage and frequency regulation, and reduction of energy costs, among others. Nowadays, modern approaches are getting popular to support engineers during the design and development process of such multi-functional energy storage systems. Nevertheless, these approaches still lack flexibility needed to accommodate changing practices and requirements from control engineers and along the development process. With that in mind, this paper shows how a modern development approach for rapid prototyping of multi-functional battery energy storage system applications can be extended to provide this needed flexibility. For this, an expert user is introduced, which has the sole purpose of adapting the existing engineering approach to fulfill any new requirements from the control engineers. To achieve this, the expert user combines concepts from model-driven engineering and ontologies to reach an adaptable engineering support framework. As a result, new engineering requirements, such as new information sources and target platforms, can be automatically included into the engineering approach by the expert user, providing the control engineer with further support during the development process. The usefulness of the proposed solution is shown with a selected use case related to the implementation of an application for a battery energy storage system. It demonstrates how the expert user can fully adapt an existing engineering approach to the control engineer’s needs and thus increase the effectiveness of the whole engineering process.
Highlights
The reduction of CO2 emissions is motivating the integration of renewables into power grids
The identified open issues are handled by the Energy Management System Ontology (EMSOnto) expert, whose main role is the customization of the EMSOnto according to control engineer’s requirements
Those are summarized as the extension of the Energy Management Systems (EMS)-TBox, setting up of new rules and queries, extension of EMS-templates, and the conception of data models and transformation rules
Summary
The reduction of CO2 emissions is motivating the integration of renewables into power grids. Thereby, the EMS development process should consider interoperability across systems as well as evolving requirements of smart grid systems In this context, the realization of EMS involves challenging tasks, such as alignment with smart grid information models, conflicts resolution within a multi-functional system, as well as handling a diversity of tools for EMS validation. The realization of EMS involves challenging tasks, such as alignment with smart grid information models, conflicts resolution within a multi-functional system, as well as handling a diversity of tools for EMS validation Different approaches handle these issues to different degrees as demonstrated by Zanabria et al [4]. The referred study shows attempts to benefit from available information sources (SGAM models) in an automated way Another approach, the so called Energy Management System Ontology (EMSOnto) [8] proposes a resolution of conflicts within an EMS [9].
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