Browsing by Author "Vrba, Pavel"
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- Challenges of ICT and artificial intelligence in smart gridsPublication . Ferreira, Adriano; Leitão, Paulo; Vrba, PavelThis paper provides an overview of the actual developments on smart grids, particularly analysing the efforts on research and development in the different regions in the world. The paper also discusses the roles of Artificial Intelligence (AI) and Information & Communication Technologies (ICT) in the future development of smart grids. Particularly, it highlights the importance of power simulation tools in developing control strategies and discusses how AI techniques can work with these tools to provide simulation solutions that are closer to a real implementation.
- Managing intelligent self-sustained electrical micro-gridsPublication . Ferreira, Adriano; Leitão, Paulo; Vrba, PavelMicro grids play an important role in the context of smart grids, improving the system reliability, resilience and stability. In case of micro grids disconnected from the main grid, due to geographical reasons or failure in the service provider, the self-sustainability management is a key issue. This paper discusses agent-based automation and control approaches to handle the self-sustainability in electrical stand-alone micro grids. The proposed agent-based model is applied to a case study and simulated using the Netlogo agent-based modelling platform, allowing to analyze different control and prediction strategies to improve their self-sustainability.
- Multi-agent system approach for the strategic planning in ramp-up production of small lotsPublication . Leitão, Paulo; Barbosa, José; Vrba, Pavel; Tsarev, Alexander; Kazanskaia, Daria; Skobelev, PetrThis paper discusses the methodology for the development of a strategic planning tool, and particularly the architectural solution to be adopted, within an integrated ICT solution for the improvement of planning and scheduling systems for the manufacturing of small production lots of complex products. After the analysis of different possible architectural solutions, the paper proposes a hybrid solution that combines existing solvers with the multi-agent system principles. The proposed approach introduces several benefits, namely in terms of flexibility, robustness, and achievement of exploratory alternative solutions, playing interactive what-if simulation supporting decision-makers to take strategic decisions.
- Multi-agent systems as automation platform for intelligent energy systemsPublication . Leitão, Paulo; Vrba, Pavel; Strasser, Thomas I.The large-scale integration of distributed energy resources into a complex cyber-physical system demands proper automation platforms for monitoring, control, optimization and reconfiguration, addressing intelligent energy systems. This paper discusses the use of multi-agent systems as a suitable solution to address this challenge by analyzing their benefits when applying them to the field of Smart Grids and surveying existing works and initiatives. The principles and use cases established in the MASGrid project illustrate the application of multi-agent technology in active power distribution systems.
- Past, present, and future of industrial agent applicationsPublication . Leitão, Paulo; Mařík, Vladimír A.; Vrba, PavelIndustrial agents technology leverages the benefits of multiagent systems, distributed computing, artificial intelligence techniques and semantics in the field of production, services and infrastructure sectors, providing a new way to design and engineer control solutions based on the decentralization of control over distributed structures. The key drivers for this application are the benefits of agent-based industrial systems, namely in terms of robustness, scalability, reconfigurability and productivity, all of which translate to a greater competitive advantage. This manuscript monitors the chronology of research and development of the industrial applications of multiagent and holonic systems. It provides the comprehensive overview of methodologies, architectures and applications of agents in industrial domain from early nineties up to present. It also gives an outlook of the current trends as well as challenges and possible future application domains of industrial agents.
- Recent developments and future trends of industrial agentsPublication . Leitão, Paulo; Vrba, PavelThe agent technology provides a new way to design and engineer control solutions based on the decentralization of control over distributed structures, addressing the current requirements for modern control systems in industrial domains. This paper presents the current situation of the development and deployment of agent technology, discussing the initiatives and the current trends faced for a wider dissemination and industrial adoption, based on the work that is being carried out by the IEEE IES Technical Committee on Industrial Agents.
- A review of agent and service-oriented concepts applied to intelligent energy systemsPublication . Vrba, Pavel; Mařík, Vladimír A.; Siano, Pierluigi; Leitão, Paulo; Zhabelova, Gulnara; Vyatkin, Valeriy; Strasser, Thomas I.The intention of this paper is to provide an overview of using agent and service-oriented technologies in intelligent energy systems. It focuses mainly on ongoing research and development activities related to smart grids. Key challenges as a result of the massive deployment of distributed energy resources are discussed, such as aggregation, supply-demand balancing, electricity markets, as well as fault handling and diagnostics. Concepts and technologies like multiagent systems or service-oriented architectures are able to deal with future requirements supporting a flexible, intelligent, and active power grid management. This work monitors major achievements in the field and provides a brief overview of large-scale smart grid projects using agent and service-oriented principles. In addition, future trends in the digitalization of power grids are discussed covering the deployment of resource constrained devices and appropriate communication protocols. The employment of ontologies ensuring semantic interoperability as well as the improvement of security issues related to smart grids is also discussed. © 2005-2012 IEEE.
- A review of architectures and concepts for intelligence in future electric energy systemPublication . Strasser, Thomas I.; Andrén, Filip; Kathan, Johannes; Cecati, Carlo; Buccella, Concettina; Siano, Pierluigi; Leitão, Paulo; Zhabelova, Gulnara; Vyatkin, Valeriy; Vrba, Pavel; Mařík, Vladimír A.Renewable energy sources are one key enabler to decrease greenhouse gas emissions and to cope with the anthropogenic climate change. Their intermittent behavior and limited storage capabilities present a new challenge to power system operators to maintain power quality and reliability. Additional technical complexity arises from the large number of small distributed generation units and their allocation within the power system. Market liberalization and changing regulatory framework lead to additional organizational complexity. As a result, the design and operation of the future electric energy system have to be redefined. Sophisticated information and communication architectures, automation concepts, and control approaches are necessary in order to manage the higher complexity of so-called smart grids. This paper provides an overview of the state of the art and recent developments enabling higher intelligence in future smart grids. The integration of renewable sources and storage systems into the power grids is analyzed. Energy management and demand response methods and important automation paradigms and domain standards are also reviewed.
- Simulating smart grid using a two-layer multiagent frameworkPublication . Ferreira, Adriano; Leitão, Paulo; Vrba, PavelThe integration of ICT technologies will contribute to meet the objectives of smart grids by applying intelligent strategies to implement their automation functions. The use of the real electrical power energy infrastructure is hardly to be managed. The use of simulation constitutes an alternative to model and test in a simple way these complex power electrical grids, improving the system's reliability, resilience and stability. However, power simulators don't reflect the unpredictable behaviours caused by the collaborative interference of intelligent and cognitive systems, being required an easy and transparent platform to interconnect the intelligent control with the power emulator platforms. This paper introduces a two-layer framework integrating multi-agent-based control systems with power simulator tools, allowing to create a virtual environment to test and simulate the different control strategies and helping the deployment of the future smart grid concept. An instantiation of this framework is deeply analysed for the use of GridLab-D as power simulation tool.