Simon, Sishaj PulikottilPadhy, Narayana PrasadPark, Jong-BaeLee, Kwang Y.Zhou, MingXia, Shuda Silva, Anna Carolina R.H.Choi, JaeseokLee, YeonchanLambert-Torres, GermanoSalomon, Camila Paesda Silva, Luiz Eduardo BorgesBai, WenleiEke, IbrahimRueda, JoseCarvalho, LeonelMiranda, VladimiroErlich, IstvanTheologi, Aimilia-MyrsiniAsada, Eduardo N.Souza, Aldir S.Romero, Rubén [UNESP]2023-03-022023-03-022020-01-01Applications of Modern Heuristic Optimization Methods in Power and Energy Systems, p. 39-225.http://hdl.handle.net/11449/242130This 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.39-225engArtificial bee colony optimizationClassical constructive heuristic algorithmsOptimal power flow problemParticle swarm optimizationPower system planningUnit commitment problemCapítulo de livro10.1002/9781119602286.ch32-s2.0-85135659431