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7. List of Contributors

Author

Abapour, Saeed, primary, Celli, Gianni, additional, Daneshvar, Mohammadreza, additional, Esfetanaj, Naser Nourani, additional, Ghaemi, Sina, additional, Ghahramani, Mehrdad, additional, Ghiani, Emilio, additional, Jabari, Farkhondeh, additional, Manbachi, Moein, additional, Mocci, Susanna, additional, Mohammadi-ivatloo, Behnam, additional, Moradi-Moghadam, Solmaz, additional, Najafi-Ravadanegh, Sajad, additional, Nikmehr, Nima, additional, Nojavan, Sayyad, additional, Pilo, Fabrizio, additional, Pisano, Giuditta, additional, Sarkhani, Sadjad, additional, Soma, Gian Giuseppe, additional, Wang, Lingfeng, additional, and Zare, Kazem, additional

Published
2018
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10. Development of Hybrid Photovoltaic-based Nanogrids for the Energy Rehabilitation of Public Buildings: The BERLIN Project

Author

Arsalis, Alexandros, primary, Georghiou, George E., additional, Delode, Alexandre, additional, Nousdilis, Angelos, additional, Bouhouras, Aggelos, additional, Christoforidis, Georgios, additional, Gal, Erez, additional, Grigorovitch, Vladislav, additional, Celli, Gianni, additional, Mocci, Susanna, additional, Naim, Avi, additional, and Topel, Elad, additional

Published
2022
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15. Impact of Demand Side Management on the Self-Sufficiency and Self-Consumption of Buildings with Photovoltaic and Storage Systems

Author

Kelepouris, Nikolaos S., primary, Nousdilis, Angelos I., additional, Bouhouras, Aggelos S., additional, Christoforidis, Georgios C., additional, Yerasimou, Yerasimos, additional, Chatzigeorgiou, Nikolas G., additional, Georghiou, George E., additional, Celli, Gianni, additional, Mocci, Susanna, additional, Gal, Erez, additional, Grigorovitch, Marina, additional, and Topel, Elad, additional

Published
2021
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19. A multiobjective evolutionary algorithm for the sizing and siting of distributed generation

Author

Celli, Gianni, Ghiani, Emilio, Mocci, Susanna, and Pilo, Fabrizio

Subjects
Electric power distribution -- Research, Electric power systems -- Research, Business, Electronics, Electronics and electrical industries
Abstract

In the restructured electricity industry, the engineering aspects of planning need to be reformulated even though the goal to attain remains substantially the same, requiring various objectives to be simultaneously accomplished to achieve the optimality of the power system development and operation. In many cases, these objectives contradict each other and cannot be handled by conventional single optimization techniques. In this paper, a multiobjective formulation for the siting and sizing of DG resources into existing distribution networks is proposed. The methodology adopted permits the planner to decide the best compromise between cost of network upgrading, cost of power losses, cost of energy not supplied, and cost of energy required by the served customers. The implemented technique is based on a genetic algorithm and an e-constrained method that allows obtaining a set of noninferior solutions. Application examples are presented to demonstrate the effectiveness of the proposed procedure. Index Terms--Distributed generation, distribution networks, genetic algorithms, multiobjective programming.

Published
2005

33. Planning and Optimization Methods for Active Distribution Systems

Author

Abbey, Chad, Baitch, Alex, Bak-Jensen, Birgitte, Carter-­‐Brown, Clinton, Celli, Gianni, El Bakari, Khalil, Fan, Mingtian, Georgilakis, Pavlos, Hearne, Tony, Nando Ochoa, Luis, Petretto, Giacomo, and Taylor, Jason

Abstract

The CIGRÉ C6 Study Committee (Distribution Systems and Dispersed Generation) considers the different aspects of integration of distributed generation. In this context, the C6.19 Working Group (WG) is specifically focused on “Planning and optimization methods for active distribution systems”. This report assesses the various requirements to facilitate the transition towards active distribution systems (ADSs). Specifically, the report starts from a survey of requirements of planning methodologies and identifies a new framework and methodologies for short, medium and long term models for active distribution planning. Active distribution networks (ADNs) have systems in place to control a combination of distributed energy resources (DERs), defined as generators, loads and storage. With these systems in place, the AND becomes an Active Distribution System (ADS). Distribution system operators (DSOs) have the possibility of managing the electricity flows using a flexible network topology. DERs take some degree of responsibility for system support, which depends on suitable regulatory environments and connection agreements. Distribution operation and planning stages can no longer be considered as separate tasks in the distribution business since the exploitation of existing assets with Advanced Automation and Control may be a valuable alternative to network expansion or reinforcement. Information and communication technology (ICT) cannot be considered as a simple add-on of the power system and simultaneous analysis (co-simulation) of both power system and ICT system behavior is required for planning and reliability studies, as well as risk analysis. Smart meters and automatic meter reading (AMR) offer a huge amount of data for load profiling and modelling. Data analytics and big data are key drivers for planning, since essential information has to be captured from on line measurement and raw data be used directly in real world planning applications. The ADS planning asks for daily customers profile with a probabilistic representation to take account of uncertainties that characterize their behaviour. Finally, interesting methodologies and models have been extracted from relevant publications. Particular attention has been paid to the planning tools, which are ready to be transferred into scaled industrial applications by means of strong interaction with R&D distribution company centres and Academia.

Published
2014

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