DISTRIBUTION SYSTEM

Nikolaos C. Koutsoukis; Pavlos S. Georgilakis; Nikos D. Hatziargyriou; Osama Mohammed; Ahmed Elsayed; Kyungsung An; Kyeon Hur; Ngoc Hoang Luong; Peter A.N. Bosman; Marinus O.W. Grond; Han La Poutré; Hsiao Dong Chiang; Jinda Cui; Tianshi Xu; Eduardo N. Asada; João Bosco A. London; Filipe O. Saraiva; Wei Sun; Kumar Venayagamoorthy; Qun Zhou; Shuo Wang; Yong Feng Zhang; Digvijay Gusain; Jose Rueda; Jens C. Boemer; Peter Palensky; David L. Alvarez; Sergio Rivera

doi:10.1002/9781119602286.ch5

DISTRIBUTION SYSTEM

Nikolaos C. Koutsoukis, Pavlos S. Georgilakis, Nikos D. Hatziargyriou, Osama Mohammed, Ahmed Elsayed, Kyungsung An, Kyeon Hur, Ngoc Hoang Luong, Peter A.N. Bosman, Marinus O.W. Grond, Han La Poutré, Hsiao Dong Chiang, Jinda Cui, Tianshi Xu, Eduardo N. Asada, João Bosco A. London, Filipe O. Saraiva, Wei Sun, Kumar Venayagamoorthy, Qun ZhouShuo Wang, Yong Feng Zhang, Digvijay Gusain, Jose Rueda, Jens C. Boemer, Peter Palensky, David L. Alvarez, Sergio Rivera

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

This chapter presents meta-heuristic optimization techniques for the solution of complex power distribution system problems. These include active distribution networks (ADN) planning, optimal selection of distribution system architecture, conservation voltage reduction (CVR) planning, and dynamic distribution network expansion planning with demand side management. It also includes capacitor placement, distribution system reconfiguration and service restoration, and parameter identification of dynamic equivalents for ADNs. The chapter provides good examples of how the use of meta-heuristic optimization techniques has improved modeling, has allowed to provide better results than with alternative models, or even has allowed to obtain results that were not previously at hand with conventional models. The chapter serves a framework for evaluating the performance of large-scale CVR in grid planning and operations. This work supports decision-making for ranking substations based on multiple conflicting factors such as CVR factor, network analysis, and economic impact.

Original language	English
Title of host publication	Applications of Modern Heuristic Optimization Methods in Power and Energy Systems
Publisher	wiley
Pages	381-611
Number of pages	231
ISBN (Electronic)	9781119602286
ISBN (Print)	9781119602293
DOIs	https://doi.org/10.1002/9781119602286.ch5
Publication status	Published - 2020 Jan 1

Bibliographical note

Publisher Copyright:
© 2020 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

All Science Journal Classification (ASJC) codes

Energy(all)

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10.1002/9781119602286.ch5

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Koutsoukis, N. C., Georgilakis, P. S., Hatziargyriou, N. D., Mohammed, O., Elsayed, A., An, K., Hur, K., Luong, N. H., Bosman, P. A. N., Grond, M. O. W., Poutré, H. L., Chiang, H. D., Cui, J., Xu, T., Asada, E. N., London, J. B. A., Saraiva, F. O., Sun, W., Venayagamoorthy, K., ... Rivera, S. (2020). DISTRIBUTION SYSTEM. In Applications of Modern Heuristic Optimization Methods in Power and Energy Systems (pp. 381-611). wiley. https://doi.org/10.1002/9781119602286.ch5

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title = "DISTRIBUTION SYSTEM",

abstract = "This chapter presents meta-heuristic optimization techniques for the solution of complex power distribution system problems. These include active distribution networks (ADN) planning, optimal selection of distribution system architecture, conservation voltage reduction (CVR) planning, and dynamic distribution network expansion planning with demand side management. It also includes capacitor placement, distribution system reconfiguration and service restoration, and parameter identification of dynamic equivalents for ADNs. The chapter provides good examples of how the use of meta-heuristic optimization techniques has improved modeling, has allowed to provide better results than with alternative models, or even has allowed to obtain results that were not previously at hand with conventional models. The chapter serves a framework for evaluating the performance of large-scale CVR in grid planning and operations. This work supports decision-making for ranking substations based on multiple conflicting factors such as CVR factor, network analysis, and economic impact.",

author = "Koutsoukis, {Nikolaos C.} and Georgilakis, {Pavlos S.} and Hatziargyriou, {Nikos D.} and Osama Mohammed and Ahmed Elsayed and Kyungsung An and Kyeon Hur and Luong, {Ngoc Hoang} and Bosman, {Peter A.N.} and Grond, {Marinus O.W.} and Poutr{\'e}, {Han La} and Chiang, {Hsiao Dong} and Jinda Cui and Tianshi Xu and Asada, {Eduardo N.} and London, {Jo{\~a}o Bosco A.} and Saraiva, {Filipe O.} and Wei Sun and Kumar Venayagamoorthy and Qun Zhou and Shuo Wang and Zhang, {Yong Feng} and Digvijay Gusain and Jose Rueda and Boemer, {Jens C.} and Peter Palensky and Alvarez, {David L.} and Sergio Rivera",

year = "2020",

month = jan,

day = "1",

doi = "10.1002/9781119602286.ch5",

language = "English",

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Koutsoukis, NC, Georgilakis, PS, Hatziargyriou, ND, Mohammed, O, Elsayed, A, An, K, Hur, K, Luong, NH, Bosman, PAN, Grond, MOW, Poutré, HL, Chiang, HD, Cui, J, Xu, T, Asada, EN, London, JBA, Saraiva, FO, Sun, W, Venayagamoorthy, K, Zhou, Q, Wang, S, Zhang, YF, Gusain, D, Rueda, J, Boemer, JC, Palensky, P, Alvarez, DL & Rivera, S 2020, DISTRIBUTION SYSTEM. in Applications of Modern Heuristic Optimization Methods in Power and Energy Systems. wiley, pp. 381-611. https://doi.org/10.1002/9781119602286.ch5

TY - CHAP

T1 - DISTRIBUTION SYSTEM

AU - Koutsoukis, Nikolaos C.

AU - Georgilakis, Pavlos S.

AU - Hatziargyriou, Nikos D.

AU - Mohammed, Osama

AU - Elsayed, Ahmed

AU - An, Kyungsung

AU - Hur, Kyeon

AU - Luong, Ngoc Hoang

AU - Bosman, Peter A.N.

AU - Grond, Marinus O.W.

AU - Poutré, Han La

AU - Chiang, Hsiao Dong

AU - Cui, Jinda

AU - Xu, Tianshi

AU - Asada, Eduardo N.

AU - London, João Bosco A.

AU - Saraiva, Filipe O.

AU - Sun, Wei

AU - Venayagamoorthy, Kumar

AU - Zhou, Qun

AU - Wang, Shuo

AU - Zhang, Yong Feng

AU - Gusain, Digvijay

AU - Rueda, Jose

AU - Boemer, Jens C.

AU - Palensky, Peter

AU - Alvarez, David L.

AU - Rivera, Sergio

PY - 2020/1/1

Y1 - 2020/1/1

N2 - This chapter presents meta-heuristic optimization techniques for the solution of complex power distribution system problems. These include active distribution networks (ADN) planning, optimal selection of distribution system architecture, conservation voltage reduction (CVR) planning, and dynamic distribution network expansion planning with demand side management. It also includes capacitor placement, distribution system reconfiguration and service restoration, and parameter identification of dynamic equivalents for ADNs. The chapter provides good examples of how the use of meta-heuristic optimization techniques has improved modeling, has allowed to provide better results than with alternative models, or even has allowed to obtain results that were not previously at hand with conventional models. The chapter serves a framework for evaluating the performance of large-scale CVR in grid planning and operations. This work supports decision-making for ranking substations based on multiple conflicting factors such as CVR factor, network analysis, and economic impact.

AB - This chapter presents meta-heuristic optimization techniques for the solution of complex power distribution system problems. These include active distribution networks (ADN) planning, optimal selection of distribution system architecture, conservation voltage reduction (CVR) planning, and dynamic distribution network expansion planning with demand side management. It also includes capacitor placement, distribution system reconfiguration and service restoration, and parameter identification of dynamic equivalents for ADNs. The chapter provides good examples of how the use of meta-heuristic optimization techniques has improved modeling, has allowed to provide better results than with alternative models, or even has allowed to obtain results that were not previously at hand with conventional models. The chapter serves a framework for evaluating the performance of large-scale CVR in grid planning and operations. This work supports decision-making for ranking substations based on multiple conflicting factors such as CVR factor, network analysis, and economic impact.

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U2 - 10.1002/9781119602286.ch5

DO - 10.1002/9781119602286.ch5

M3 - Chapter

AN - SCOPUS:85120310945

SN - 9781119602293

SP - 381

EP - 611

BT - Applications of Modern Heuristic Optimization Methods in Power and Energy Systems

PB - wiley

ER -

DISTRIBUTION SYSTEM

Abstract

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