Embedding Energy Storage Systems into a Dynamic Knowledge Graph

Abstract

This Article illustrates how a dynamic knowledge graph approach in the context of The World Avatar (TWA) project can support the decarbonization of energy systems by leveraging the existing energy storage system (ESS) selection framework to assist in the selection and optimal placement of the ESS. TWA is a dynamic knowledge graph based on the Semantic Web and its associated technologies, with intelligent agents operating on it. The agents act autonomously to update and extend TWA, and thus it evolves in time. TWA also provides the ability to consider different scenarios, referred to as parallel worlds, allowing for scenario analysis without mutual interference. A use casethe addition of a battery energy storage system to the Singapore Jurong Island electrical networkis introduced to demonstrate the application of this approach. The domain ontology, OntoPowSys, was extended to describe and instantiate the relevant ESSs considered in the use case. This extension is described in the Article using the description logic syntax. The Article also outlines the details of how the various agents involved in the use case are being integrated into TWA. The use case also highlights how the parallel world framework can facilitate scenario analysis by considering different scenarios without affecting the real-world representation.

British wind farm ESS attachments: curtailment reduction vs. price arbitrage

“…87 Data to and from these simulations may be organised via a knowledge graph, including in ESS applications. 88…”

“…87 Data to and from these simulations may be organised via a knowledge graph, including in ESS applications. 88 By using this unique approach a variety of data sources and agents may be coordinated, allowing more sophisticated analyses to be performed. In this manner data on electricity exports, electricity curtailment, electricity price, and the specific station or generators supplying this energy is collected and stored.…”

Knowledge Graph for Low Carbon Power and Energy Systems

“…The proposed OntoPowSys ontology was based on the syntax of the Description Logic and is implemented by the OWL2 language. Our previous work also extended this ontology framework by incorporating an Energy Storage System selection component [18] and building a dynamic knowledge graph in the system of The World Avatar (TWA) project [19]. With intelligent operating agents on the graph, TWA is capable to simulate changes in different scenarios without manual interference in the so called "parallel worlds".…”

Research Review of the Knowledge Graph and its Application in Power System Dispatching and Operation

“…In the study by Ji and Wang (2020), the entities and characteristics of power entity recognition are analyzed, the mechanism of entity recognition is clarified, and entity recognition techniques are analyzed in the context of the power domain. Ong and Karmakar. (2022) proposes a method of embedding energy storage into a knowledge map.…”