Browsing by Author "Siano, Pierluigi"
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- 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.