POWER SYSTEM PLANNING AND OPERATION

Sishaj Pulikottil Simon, Narayana Prasad Padhy, Jong Bae Park, Kwang Y. Lee, Ming Zhou, Shu Xia, Anna Carolina R.H. da Silva, Jaeseok Choi, Yeonchan Lee, Germano Lambert-Torres, Camila Paes Salomon, Luiz Eduardo Borges da Silva, Wenlei Bai, Ibrahim Eke, Jose Rueda, Leonel Carvalho, Vladimiro Miranda, Istvan Erlich, Aimilia Myrsini Theologi, Eduardo N. AsadaAldir S. Souza, Rubén Romero

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

This chapter provides implementation of various optimization algorithms to various power system problems that utilize power flow calculations. Determination of the schedule (ON/OFF status and amount of power generated) of generating units within a power system results in great saving for electric utilities. The unit commitment problem can be formulated in order to minimize the total operating cost, satisfying the system, the unit, and several operational constraints. The power transfer limit of overhead transmission lines (OTLs) is an important constraint for power systems’ planning and operation. This constraint plays an essential role in the secure and economic management of power systems. The chapter presents economic dispatch problem by considering GAs and particle swarm optimization (PSO) in complex power system analysis. It uses a hybrid PSO to solve load flow problem while uses artificial bee colony optimization for solving the optimal power flow problem.

Original languageEnglish
Title of host publicationApplications of Modern Heuristic Optimization Methods in Power and Energy Systems
Publisherwiley
Pages39-225
Number of pages187
ISBN (Electronic)9781119602286
ISBN (Print)9781119602293
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Bibliographical note

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

Keywords

  • Artificial bee colony optimization
  • Classical constructive heuristic algorithms
  • Optimal power flow problem
  • Particle swarm optimization
  • Power system planning
  • Unit commitment problem

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