Ontology-based demand-side flexibility management in smart grids using a multi-agent system

Hippolyte, Jean-Laurent; Howell, Shaun; Yüce, Barış; Mourshed, Monjur; Sleiman, Hassan A.; Vinyals, Meritxell; Vanhée, Loïs

doi:10.1109/isc2.2016.7580828

Cited by 26 publications

(30 citation statements)

References 16 publications

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“…MAS provides a flexible and reliable solution to manage and optimal loads at demand-side with the consideration of energy cost minimization and user's comfort maximizations [49,50]. MAS has been applied in automated building management systems (BMS) for energy-related building research [16,[51][52][53].…”

Section: Mas For Demand-side and Building Systemsmentioning

confidence: 99%

“…• Mosaik (https://mosaik.offis.de/): [49,50] is a flexible smart grid co-simulation framework, and allows to reuse and combine existing simulation models and simulators to create large-scale smart grid scenarios [ Global Event-Driven Co-Simulation framework (GECO): models and simulates the control, monitoring, and protection of the power systems and communication network [65].…”

mentioning

confidence: 99%

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The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

Schultz

Christensen

et al. 2019

Energies

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Multi-agent systems are well-known for their expressiveness to explore interactions and knowledge representation in complex systems. Multi-agent systems have been applied in the energy domain since the 1990s. As more applications of multi-agent systems in the energy domain for advanced functions, the interoperability raises challenge raises to an increasing requirement for data and information exchange between systems. Therefore, the application of ontology in multi-agent systems needs to be emphasized and a systematic approach for the application needs to be developed. This study aims to investigate literature on the application of ontology in multi-agent systems within the energy domain and map the key concepts underpinning these research areas. A scoping review of the existing literature on ontology for multi-agent systems in the energy domain is conducted. This paper presents an overview of the application of multi-agent systems (MAS) and ontologies in the energy domain with five aspects of the definition of agent and MAS; MAS applied in the energy domain, defined ontologies in the energy domain, MAS design methodology, and architectures, and the application of ontology in the MAS development. Furthermore, this paper provides a recommendation list for the ontology-driven multi-agent system development with the aspects of 1) ontology development process in MAS design, 2) detail design process and realization of ontology-driven MAS development, 3) open standard implementation and adoption, 4) inter-domain MAS development, and 5) agent listing approach.

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Section: Mas For Demand-side and Building Systemsmentioning

confidence: 99%

mentioning

confidence: 99%

The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

Schultz

Christensen

et al. 2019

Energies

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“…The ontology described in [19] aims at the interaction between building energy management and smart grids. In [57] some of the most relevant standards are combined in a new solution. A middleware to represent the power grid components is presented in [58].…”

Section: Ontologies For Semantic Interoperabilitymentioning

confidence: 99%

Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems

et al. 2018

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Worldwide electricity markets are undergoing a major restructuring process. One of the main reasons for the ongoing changes is to enable the adaptation of current market models to the new paradigm that arises from the large-scale integration of distributed generation sources. In order to deal with the unpredictability caused by the intermittent nature of the distributed generation and the large number of variables that contribute to the energy sector balance, it is extremely important to use simulation systems that are capable of dealing with the required complexity. This paper presents the Tools Control Center (TOOCC), a framework that allows the interoperability between heterogeneous energy and power simulation systems through the use of ontologies, allowing the simulation of scenarios with a high degree of complexity, through the cooperation of the individual capacities of each system. A case study based on real data is presented in order to demonstrate the interoperability capabilities of TOOCC. The simulation considers the energy management of a microgrid of a real university campus, from the perspective of the network manager and also of its consumers/producers, in a projection for a typical day of the winter of 2050.

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“…The integration of distributed energy resources fulfills the increasing energy demand and enhances energy flexibility [7]. Energy consumers/prosumers install distributed generation for own energy consumption or to sell the excess electricity to the grid.…”

Section: Flexibility In the Energy Generationmentioning

confidence: 99%

“…Flexible energy power system enables to avoid technical failures [6] and responds quickly to any change occuring in the power system [7]. In general, flexibility has a potential to minimize energy cost, balance the energy supply and distribution as well as to increase the generation of RES (renewable energy resources) and maintain the stability of grid.…”

mentioning

confidence: 99%

Energy Flexibility in the Power System: Challenges and Opportunites in Philippines

Billanes¹,

Ma²,

Jôrgensen³

2017

JEPE

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Abstract:Energy flexibility can address the challenges of large scale integration of renewable energy resources and thereby increasing imbalance in the power system. Flexible power system can provide reliable supply, low electricity cost and sustainability. Various situations and factors influence the adoption of the flexibility solutions, such as flexible electricity generation, demand-response, and electricity storage. This paper tries to analyze the current energy flexibility solutions and the factors that can influence the energy flexibility adoption. This paper takes Philippines as case study to provide an overview of the current condition of the Philippines' power system and discuss the energy flexibility in the Philippines' power system. A further discussion and recommendation is conducted in the end of the paper.

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Ontology-based demand-side flexibility management in smart grids using a multi-agent system

Cited by 26 publications

References 16 publications

The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems

Energy Flexibility in the Power System: Challenges and Opportunites in Philippines

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