Arefi Ali - Electric Distribution Network Planning
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More information about this series at http://www.springer.com/series/4622
This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. part of Springer Nature
The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Electric distribution networks are critical parts of power delivery systems. In recent years, many new technologies and distributed energy resources have been integrated into these networks. To provide electricity at the possible lowest cost and at required quality, long-term planning is essential for these networks. In distribution planning, optimal location and size of necessary upgrades are determined to satisfy the demand and the technical requirements of the loads and to tackle uncertainties associated with load and distributed energy resources. To this aim, an optimization algorithm is utilized to find the optimal net present cost of augmentation over the planning period. The distribution network is usually formulated as a mixed-integer nonlinear programming problem, which is solved using various approaches including mathematic and heuristic-based algorithms.
Over the last decades, several researches have been carried out around the world on electric distribution planning, whose results are available as journal articles, conference papers or technical reports. However, to the best of the editors knowledge, no single book has covered the different aspects of distribution networks planning so far. The interested readers had to search among several hundreds of papers on this topic through various databases in order to build up their knowledge on the subject. This book is the first one entirely focused on the distribution networks planning and is an effort to provide a research-oriented and a coherent book on the subject for postgraduate students and researchers.
This book is benefited from the inputs and comments of a large number of researchers and experts from the academia and industry. It contains 13 chapters. The breakdown of the chapters is as follows:
Chapter reviews the multi-stage expansion planning problem of distribution networks where investments in the distribution network and distributed generations are jointly considered;
Chapter presents static and dynamic models for the planning of distribution networks;
Chapter discusses the mathematical formulations of unbalance networks, for operation optimization analysis to support decision-making processes;
Chapter presents an integrated distributed generation and primarysecondary expansion planning in the presence of wholesale and retail markets;
Chapter discusses a new planning tool based on the concept of a multi-agent system;
Chapter presents an efficient method for sizing and siting distributed generations in distribution networks;
Chapter describes probabilistic and possibilistic-based planning methodologies of battery energy storage systems in distribution networks;
Chapter introduces an optimally distributed generation placement problem towards power and energy loss minimization;
Chapter presents a hybrid methodology based on a local search algorithm and a genetic algorithm, for the multi-objective and multi-stage distribution expansion planning problem;
Chapter introduces simultaneous optimization concept of distribution network reconfiguration and distributed generation sizing;
Chapter studies the implementation of optimal incentive plans for plug-in electric vehicle aggregator to participate in the energy market;
Chapter presents a survey of optimization techniques used to find the optimal sizes and locations of compensators; and
Chapter discusses a methodology for the allocation of automatic reclosers within electric distribution networks.
As the editors of the book, we would like to thank all the contributors for their support and hard work. We also would like to thank the reviewers who provided valuable comments for improving the quality of the book. Also, we are grateful to the publisher Springer Nature for agreeing to publish this book. Last but not least, we would like to thank our familiesFarhad thanks his parents (Nahideh and Ali) and his spouse (Negar), Ali thanks his wife and son (Behnaz and Amin), and Gerard thanks his family for their continuous encouragement and support.
Aggelos S. Bouhouras, Aristotle University of Thessaloniki, Greece; University of Applied Sciences, Greece
Ali Ahmadian, K. N. Toosi University of Technology, Iran
Ali Elkamel, University of Waterloo, Canada
Alexandre M. F. Dias, University of Lisbon and INESC-ID, Portugal
Almoataz Y. Abdelaziz, Ain Shams University, Egypt
Alireza Heidari, University of New South Wales, Australia
Carlos F. M. Almeida, University of Sao Paulo, Brazil
Carlos F. Sabilln, So Paulo State University, Brazil
David Pozo, Skolkovo Institute of Science and Technology, Russia
Dimitris P. Labridis, Aristotle University of Thessaloniki, Greece
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