6,788 research outputs found
Practical applications of multi-agent systems in electric power systems
The transformation of energy networks from passive to active systems requires the embedding of intelligence within the network. One suitable approach to integrating distributed intelligent systems is multi-agent systems technology, where components of functionality run as autonomous agents capable of interaction through messaging. This provides loose coupling between components that can benefit the complex systems envisioned for the smart grid. This paper reviews the key milestones of demonstrated agent systems in the power industry and considers which aspects of agent design must still be addressed for widespread application of agent technology to occur
Recommended from our members
A Web Services Component Discovery and Deployment Architecture for Simulation Model Reuse
CSPs are widely used in industry, although have yet to operate across organizational boundaries. Reuse across organizations is restricted by the same semantic issues that restrict the inter-organization use of web services. The current representations of web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging semantic web. Semantic models, in the form of ontology, utilized by web service discovery and deployment architecture provide one approach to support simulation model reuse. Semantic interoperation is achieved through the use of simulation component ontology to identify required components at varying levels of granularity (including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The paper presents the development carried out within CSPI-PDG and Fluidity Group at Brunel University, of an ontology, connector software and web service discovery architecture. The ontology is extracted from simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organization simulation, adopting a less intrusive interface between participants. Although specific to CSPs the work has wider implications for the simulation community
Ontology engineering for simulation component reuse
Commercial-off-the-shelf (COTS) simulation packages (CSPs) are widely used in industry, although they have yet to operate across organizational boundaries. Reuse across organizations is restricted by the same semantic issues that restrict the inter-organizational use of web services. The current representations of web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging semantic web. Semantic models, in the form of ontology, utilized by web service discovery and deployment architectures provide one approach to support simulation model reuse. Semantic interoperation is achieved through the use of simulation component ontologies to identify required components at varying levels of granularity (including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The paper presents the development of an ontology, connector software and web service discovery architecture. The ontology is extracted from simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organizational simulation, adopting a less intrusive interface between participants. Although specific to CSPs the work has wider implications for the simulation community
Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems
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.This work has been developed in the scope of the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 641794 (project DREAM-GO); CONTEST project - SAICT-POL/23575/2016; and has also been supported by FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.info:eu-repo/semantics/publishedVersio
Ontologies for the Interoperability of Heterogeneous Multi-Agent Systems in the scope of Energy and Power Systems
Tesis por compendio de publicaciones[ES]El sector eléctrico, tradicionalmente dirigido por monopolios y poderosas
empresas de servicios pĂșblicos, ha experimentado cambios significativos en las
Ășltimas dĂ©cadas. Los avances mĂĄs notables son una mayor penetraciĂłn de las
fuentes de energĂa renovable (RES por sus siglas en inglĂ©s) y la generaciĂłn
distribuida, que han llevado a la adopciĂłn del paradigma de las redes inteligentes
(SG por sus siglas en inglés) y a la introducción de enfoques competitivos en los
mercados de electricidad (EMs por sus siglas en inglés) mayoristas y algunos
minoristas. Las SG emergieron rĂĄpidamente de un concepto ampliamente
aceptado en la realidad. La intermitencia de las fuentes de energĂa renovable y su
integraciĂłn a gran escala plantea nuevas limitaciones y desafĂos que afectan en
gran medida las operaciones de los EMs. El desafiante entorno de los sistemas de
potencia y energĂa (PES por sus siglas en inglĂ©s) refuerza la necesidad de
estudiar, experimentar y validar operaciones e interacciones competitivas,
dinĂĄmicas y complejas. En este contexto, la simulaciĂłn, el apoyo a la toma de
decisiones, y las herramientas de gestiĂłn inteligente, se vuelven imprescindibles
para estudiar los diferentes mecanismos del mercado y las relaciones entre los
actores involucrados. Para ello, la nueva generaciĂłn de herramientas debe ser
capaz de hacer frente a la rĂĄpida evoluciĂłn de los PES, proporcionando a los
participantes los medios adecuados para adaptarse, abordando nuevos modelos
y limitaciones, y su compleja relaciĂłn con los desarrollos tecnolĂłgicos y de
negocios.
Las plataformas basadas en mĂșltiples agentes son particularmente
adecuadas para analizar interacciones complejas en sistemas dinĂĄmicos, como
PES, debido a su naturaleza distribuida e independiente. La descomposiciĂłn de
tareas complejas en asignaciones simples y la fĂĄcil inclusiĂłn de nuevos datos y
modelos de negocio, restricciones, tipos de actores y operadores, y sus
interacciones, son algunas de las principales ventajas de los enfoques basados en
agentes. En este dominio, han surgido varias herramientas de modelado para
simular, estudiar y resolver problemas de subdominios especĂficos de PES. Sin
embargo, existe una limitaciĂłn generalizada referida a la importante falta de
interoperabilidad entre sistemas heterogéneos, que impide abordar el problema
de manera global, considerando todas las interrelaciones relevantes existentes.
Esto es esencial para que los jugadores puedan aprovechar al mĂĄximo las
oportunidades en evoluciĂłn. Por lo tanto, para lograr un marco tan completo aprovechando las herramientas existentes que permiten el estudio de partes
especĂficas del problema global, se requiere la interoperabilidad entre estos
sistemas.
Las ontologĂas facilitan la interoperabilidad entre sistemas heterogĂ©neos al
dar un significado semĂĄntico a la informaciĂłn intercambiada entre las distintas
partes. La ventaja radica en el hecho de que todos los involucrados en un dominio
particular los conocen, comprenden y estĂĄn de acuerdo con la conceptualizaciĂłn
allĂ definida. Existen, en la literatura, varias propuestas para el uso de ontologĂas
dentro de PES, fomentando su reutilizaciĂłn y extensiĂłn. Sin embargo, la mayorĂa
de las ontologĂas se centran en un escenario de aplicaciĂłn especĂfico o en una
abstracciĂłn de alto nivel de un subdominio de los PES. AdemĂĄs, existe una
considerable heterogeneidad entre estos modelos, lo que complica su integraciĂłn
y adopciĂłn. Es fundamental desarrollar ontologĂas que representen distintas
fuentes de conocimiento para facilitar las interacciones entre entidades de
diferente naturaleza, promoviendo la interoperabilidad entre sistemas
heterogĂ©neos basados en agentes que permitan resolver problemas especĂficos de
PES.
Estas brechas motivan el desarrollo del trabajo de investigaciĂłn de este
doctorado, que surge para brindar una soluciĂłn a la interoperabilidad de
sistemas heterogéneos dentro de los PES. Las diversas aportaciones de este
trabajo dan como resultado una sociedad de sistemas multi-agente (MAS por sus
siglas en inglés) para la simulación, estudio, soporte de decisiones, operación y
gestiĂłn inteligente de PES. Esta sociedad de MAS aborda los PES desde el EM
mayorista hasta el SG y la eficiencia energética del consumidor, aprovechando
las herramientas de simulaciĂłn y apoyo a la toma de decisiones existentes,
complementadas con las desarrolladas recientemente, asegurando la
interoperabilidad entre ellas. Utiliza ontologĂas para la representaciĂłn del
conocimiento en un vocabulario comĂșn, lo que facilita la interoperabilidad entre
los distintos sistemas. AdemĂĄs, el uso de ontologĂas y tecnologĂas de web
semĂĄntica permite el desarrollo de herramientas agnĂłsticas de modelos para una
adaptaciĂłn flexible a nuevas reglas y restricciones, promoviendo el razonamiento
semĂĄntico para sistemas sensibles al contexto
Recommended from our members
Semantic web services for simulation component reuse and interoperability: An ontology approach
Commercial-off-the-shelf (COTS) Simulation Packages (CSPs) are widely used in industry primarily due to economic factors associated with developing proprietary software platforms. Regardless of their widespread use, CSPs have yet to operate across organizational boundaries. The limited reuse and interoperability of CSPs are affected by the same semantic issues that restrict the inter-organizational use of software components and web services. The current representations of Web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging Semantic Web. The authors present new research that partially alleviates the problem of limited semantic reuse and interoperability of simulation components in CSPs. Semantic models, in the form of ontologies, utilized by the authorsâ Web service discovery and deployment architecture provide one approach to support simulation model reuse. Semantic interoperation is achieved through a simulation component ontology that is used to identify required components at varying levels of granularity (i.e. including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The research presented here is based on the development of an ontology, connector software, and a Web service discovery architecture. The ontology is extracted from simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organizational simulation, by adopting a less intrusive interface between participants Although specific to CSPs this work has wider implications for the simulation community. The reason being that the community as a whole stands to benefit through from an increased awareness of the state-of-the-art in Software Engineering (for example, ontology-supported component discovery and reuse, and service-oriented computing), and it is expected that this will eventually lead to the development of a unique Software Engineering-inspired methodology to build simulations in future
Semantic web service architecture for simulation model reuse
COTS simulation packages (CSPs) have proved popular in an industrial setting with a number of software vendors. In contrast, options for re-using existing models seem more limited. Re-use of simulation component models by collaborating organizations is restricted by the same semantic issues however that restrict the inter-organization use of web services. The current representations of web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging semantic web. Semantic models, in the form of ontology, utilized by web service discovery and deployment architecture provide one approach to support simulation model reuse. Semantic interoperation is achieved through the use of simulation component ontology to identify required components at varying levels of granularity (including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The paper presents the development of ontology, connector software and web service discovery architecture in order to understand how such ontology are created, maintained and subsequently used for simulation model reuse. The ontology is extracted from health service simulation - comprising hospitals and the National Blood Service. The ontology engineering framework and discovery architecture provide a novel approach to inter- organization simulation, uncovering domain semantics and adopting a less intrusive interface between participants. Although specific to CSPs the work has wider implications for the simulation community
Enhancing Workflow with a Semantic Description of Scientific Intent
Peer reviewedPreprin
- âŠ