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Fotis D. Kanellos
School of Production Engineering & Management, Technical University of Crete, Chania GR-73100, Greece

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Journal article
Published: 02 November 2016 in Inventions
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During recent years, optimal electrification of isolated offshore systems has become increasingly important and received extensive attention from the maritime industry. Especially with the introduction of electric propulsion, which has led to a total electrification of shipboard power systems known as all-electric ships (AESs), the need for more cost-effective and emission-aware solutions is augmented. Such onboard systems are prone to sudden load variations due to the changing weather conditions as well as mission profile, thus they require effective power management systems (PMSs) to operate optimally under different working conditions. In this paper, coordinated optimal power management at the supply/demand side of a given AES is studied with regard to different objectives and related technical/environmental constraints. The optimal power management problem is formulated as a mixed-integer nonlinear programming (MINLP) model and is solved using a metaheuristic algorithm. To show the effectiveness and applicability of the proposed PMS, several test scenarios are implemented and related simulation results are analyzed and compared to those from conventional methods.

ACS Style

Fotis D. Kanellos; Amjad Anvari-Moghaddam; Josep M. Guerrero. Smart Shipboard Power System Operation and Management. Inventions 2016, 1, 22 .

AMA Style

Fotis D. Kanellos, Amjad Anvari-Moghaddam, Josep M. Guerrero. Smart Shipboard Power System Operation and Management. Inventions. 2016; 1 (4):22.

Chicago/Turabian Style

Fotis D. Kanellos; Amjad Anvari-Moghaddam; Josep M. Guerrero. 2016. "Smart Shipboard Power System Operation and Management." Inventions 1, no. 4: 22.

Book chapter
Published: 30 July 2016 in Sustainable Transport Development, Innovation and Technology
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Extensive electrification and the use of dc distribution grid are recently proved to be very promising technologies for the development of more efficient and environmentally friendly ships. Onboard dc grids present several advantages such as, improved efficiency, easy integration of different types of power sources, reduced size and rating of switchboard, elimination of reactive power flow, increased reconfiguration capability etc. All electric ship (AES) concept, dc distribution grid and optimal power management can lead to a substantial improvement of ship efficiency and compliance with the environmental constraints. In this paper, a method for optimal demand side management and power generation scheduling is proposed for AES employing dc grid. Demand side management is based on the adjustment of the power consumed by ship electric propulsion motors. Dynamic programming algorithm subject to operation, environmental and travel constraints is used to solve the above problem.

ACS Style

Fotis D. Kanellos; John Prousalidis; George J. Tsekouras. Optimal Active Power Management in All Electric Ship Employing DC Grid Technology. Sustainable Transport Development, Innovation and Technology 2016, 271 -284.

AMA Style

Fotis D. Kanellos, John Prousalidis, George J. Tsekouras. Optimal Active Power Management in All Electric Ship Employing DC Grid Technology. Sustainable Transport Development, Innovation and Technology. 2016; ():271-284.

Chicago/Turabian Style

Fotis D. Kanellos; John Prousalidis; George J. Tsekouras. 2016. "Optimal Active Power Management in All Electric Ship Employing DC Grid Technology." Sustainable Transport Development, Innovation and Technology , no. : 271-284.

Research article
Published: 01 June 2015 in IET Electrical Systems in Transportation
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The extensive electrification of ship power systems has become a very appealing option for the development of more efficient and environmentally friendly ships. Renewable energy sources and energy storage systems will have a key role in such systems as they can lead to fuel consumption reduction and increase of ship efficiency. In this study, analytic formulas are obtained for the estimation of system marginal cost of a ship power system equipped with photovoltaics and energy storage system and its operation is analysed from the economical point of view. The major advantage of the proposed method is that the obtained formulas require almost zero computational capacity although they provide a qualitative view of the problem not easily attainable by other conventional methods. Hence, it could be a convenient tool for the technical–economical study of such systems. In this context, it could be exploited for the assessment of a large number of ship power system operation scenarios during ship design phase.

ACS Style

George J. Tsekouras; Fotis D. Kanellos; John Prousalidis. Simplified method for the assessment of ship electric power systems operation cost reduction from energy storage and renewable energy sources integration. IET Electrical Systems in Transportation 2015, 5, 61 -69.

AMA Style

George J. Tsekouras, Fotis D. Kanellos, John Prousalidis. Simplified method for the assessment of ship electric power systems operation cost reduction from energy storage and renewable energy sources integration. IET Electrical Systems in Transportation. 2015; 5 (2):61-69.

Chicago/Turabian Style

George J. Tsekouras; Fotis D. Kanellos; John Prousalidis. 2015. "Simplified method for the assessment of ship electric power systems operation cost reduction from energy storage and renewable energy sources integration." IET Electrical Systems in Transportation 5, no. 2: 61-69.

Journal article
Published: 21 May 2015 in Journal of Intelligent & Robotic Systems
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ACS Style

Fotios Kanellos. Giovanni Saggio: Principles of Analog Electronics. Journal of Intelligent & Robotic Systems 2015, 81, 551 -552.

AMA Style

Fotios Kanellos. Giovanni Saggio: Principles of Analog Electronics. Journal of Intelligent & Robotic Systems. 2015; 81 (3-4):551-552.

Chicago/Turabian Style

Fotios Kanellos. 2015. "Giovanni Saggio: Principles of Analog Electronics." Journal of Intelligent & Robotic Systems 81, no. 3-4: 551-552.

Article
Published: 01 March 2015 in IET Electrical Systems in Transportation
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Research in All Electric Ship (AES) and onboard DC grids has already been initiated and it is going to be intensified because of its promising perspectives. This study aims to present in a coherent and methodical way why onboard DC distribution systems, smart grids and AES concept can greatly improve ship efficiency. Emerging technical challenges and future prospects are presented; state of the art is summarised while directions for a complete research roadmap are proposed.

ACS Style

Fotis D. Kanellos; George J. Tsekouras; John Prousalidis. Onboard DC grid employing smart grid technology: challenges, state of the art and future prospects. IET Electrical Systems in Transportation 2015, 5, 1 -11.

AMA Style

Fotis D. Kanellos, George J. Tsekouras, John Prousalidis. Onboard DC grid employing smart grid technology: challenges, state of the art and future prospects. IET Electrical Systems in Transportation. 2015; 5 (1):1-11.

Chicago/Turabian Style

Fotis D. Kanellos; George J. Tsekouras; John Prousalidis. 2015. "Onboard DC grid employing smart grid technology: challenges, state of the art and future prospects." IET Electrical Systems in Transportation 5, no. 1: 1-11.

Book chapter
Published: 01 January 2015 in Lecture Notes in Electrical Engineering
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The demand in electric power should be predicted with the highest possible accuracy as it affects decisively many of power system’s operations. Conventional methods for load forecasting were built on several assumptions, while they had to cope with relations between the data used that could not be described analytically. Artificial Neural Networks (ANNs) gave answers to many of the above problems and they became the predominant load forecasting technique. In this chapter the reader is first introduced to Artificial Neural Networks and their usage in forecasting the load demand of electric power systems. Several of the major training techniques are described with their pros and cons being discussed. Finally, feed- forward ANNs are used for the short-term forecasting of the Greek Power System load demand. Various ANNs with different inputs, outputs, numbers of hidden neurons etc. are examined, techniques for their optimization are proposed and the obtained results are discussed.

ACS Style

G. J. Tsekouras; F. D. Kanellos; N. Mastorakis. Short Term Load Forecasting in Electric Power Systems with Artificial Neural Networks. Lecture Notes in Electrical Engineering 2015, 19 -58.

AMA Style

G. J. Tsekouras, F. D. Kanellos, N. Mastorakis. Short Term Load Forecasting in Electric Power Systems with Artificial Neural Networks. Lecture Notes in Electrical Engineering. 2015; ():19-58.

Chicago/Turabian Style

G. J. Tsekouras; F. D. Kanellos; N. Mastorakis. 2015. "Short Term Load Forecasting in Electric Power Systems with Artificial Neural Networks." Lecture Notes in Electrical Engineering , no. : 19-58.

Journal article
Published: 12 December 2014 in Energy Systems
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This paper presents a software tool that has been developed for optimal configuration of hybrid power systems. These systems can be either interconnected to the main power grid or operated autonomously, and may contain a variety of components, including dispatchable generators (e.g., diesel generators, microturbines, biogas generators), non-dispatchable renewable energy technologies (e.g., wind turbines, photovoltaics), batteries, converters and dump loads. A software tool that optimizes such systems has been developed in MATLAB, using a combination of genetic algorithms and tabu search. The optimal configuration is expressed in terms of minimum cost of electricity (in €/kWh), taking into account operational and component size constraints. The needed input includes weather data (e.g., solar, wind, and temperature time-series), load data, system components data, and general parameters (e.g., project lifetime, discount rate). As a case study, in this paper the tool is used for evaluating an autonomous hybrid power system that includes renewable energy technologies in Chania region, Crete. Moreover, the performance of the tool is investigated for seven additional scenarios of the case study, via sensitivity analysis, studying the effect on the results of the uncertainty of weather and cost data.

ACS Style

Y. A. Katsigiannis; F. D. Kanellos; S. Papaefthimiou. A software tool for capacity optimization of hybrid power systems including renewable energy technologies based on a hybrid genetic algorithm—tabu search optimization methodology. Energy Systems 2014, 7, 33 -48.

AMA Style

Y. A. Katsigiannis, F. D. Kanellos, S. Papaefthimiou. A software tool for capacity optimization of hybrid power systems including renewable energy technologies based on a hybrid genetic algorithm—tabu search optimization methodology. Energy Systems. 2014; 7 (1):33-48.

Chicago/Turabian Style

Y. A. Katsigiannis; F. D. Kanellos; S. Papaefthimiou. 2014. "A software tool for capacity optimization of hybrid power systems including renewable energy technologies based on a hybrid genetic algorithm—tabu search optimization methodology." Energy Systems 7, no. 1: 33-48.

Journal article
Published: 05 August 2014 in IEEE Transactions on Sustainable Energy
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The worldwide effort for the development of more efficient and environmentally friendly ships has led to the development of new concepts. Extensive electrification is a very promising technology for this purpose. Together with optimal power management can lead to a substantial improvement in ship efficiency ensuring, at the same time, compliance with the environmental constraints and enhancing ship sustainability. In this paper, a method for optimal demand-side management and power generation scheduling is proposed. Demand-side management is based on the adjustment of the power consumed by ship electric propulsion motors, and no energy storage facility is exploited. Dynamic programming algorithm subjected to ship operation and environmental and travel constraints is used to solve the problem for all-electric ships (AESs). Simulation results prove that the proposed method ensures cost minimization of ship power system operation, greenhouse gas (GHG) emissions limitation, and compliance with all technical and operational constraints.

ACS Style

Fotis D. Kanellos; George J. Tsekouras; Nikos D. Hatziargyriou. Optimal Demand-Side Management and Power Generation Scheduling in an All-Electric Ship. IEEE Transactions on Sustainable Energy 2014, 5, 1166 -1175.

AMA Style

Fotis D. Kanellos, George J. Tsekouras, Nikos D. Hatziargyriou. Optimal Demand-Side Management and Power Generation Scheduling in an All-Electric Ship. IEEE Transactions on Sustainable Energy. 2014; 5 (4):1166-1175.

Chicago/Turabian Style

Fotis D. Kanellos; George J. Tsekouras; Nikos D. Hatziargyriou. 2014. "Optimal Demand-Side Management and Power Generation Scheduling in an All-Electric Ship." IEEE Transactions on Sustainable Energy 5, no. 4: 1166-1175.

Research article
Published: 21 December 2012 in Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment
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Environmental pollution caused by ships’ green house gas emissions and worldwide concern about air quality and oil supplies have led to stricter emissions regulations and fuel economy standards. In this regard, respective limits are set, while efforts to provide general guidelines for the achievement of economic and green ship operation with an urge to ship operators to apply them and return feedback. Also, specific design and operation indicators have been proposed in order to ensure compliance with new emissions regulations and fuel economy standards. Up to now, these indices are limited to ships comprising conventional propulsion systems, while full electric propulsion systems are not examined. In this article, an integrated control system that attains economically optimized and environmentally friendly operation is proposed. Moreover, appropriate reformulation of energy efficiency operation indicator is proposed for real-time assessment of gas emissions. The study is supported with the presentation of results obtained from the simulation of the operation of a ship power system comprising full electric propulsion.

ACS Style

Fotis D Kanellos; John M Prousalidis; George J Tsekouras. Control system for fuel consumption minimization–gas emission limitation of full electric propulsion ship power systems. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 2012, 228, 17 -28.

AMA Style

Fotis D Kanellos, John M Prousalidis, George J Tsekouras. Control system for fuel consumption minimization–gas emission limitation of full electric propulsion ship power systems. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 2012; 228 (1):17-28.

Chicago/Turabian Style

Fotis D Kanellos; John M Prousalidis; George J Tsekouras. 2012. "Control system for fuel consumption minimization–gas emission limitation of full electric propulsion ship power systems." Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 228, no. 1: 17-28.