Abstract
Original scientific paper Reactive power optimization (RPO) is a major field of study to ensure power systems for operating in a secure and economical manner. RPO can be used for decreasing of active power losses, voltage control, and for the optimization of the power coefficients in power systems. The non-linear power loss function is used as an object function that will be minimized. In this study Chaotic Artificial Bee Colony (CABC) algorithm is used to minimize the active power loss of power systems. Chaotic maps such as logistic map and Henon map are used against the random number generator. CABC is applied on the IEEE6-bus and IEEE 30-bus test systems and the results are shown. Accordingly, the results have been evaluated and observed that the stability critical values found by CABC can be used to produce good potential solutions. Simulation results are promising and show the effectiveness of the applied approach.
Highlights
Reactive power optimization (RPO) has a significant importance for voltage stability, voltage quality, and power losses in power systems
Liu et al have applied a hybrid optimization with taboo search and ordinal optimization methods [11]
Liu et al have applied adaptive genetic simulation annealing algorithm [15] and Zhang and Lui have joined the literature by RPO with fuzzy logic controlled particle swarm algorithm [16]
Summary
Reactive power optimization (RPO) has a significant importance for voltage stability, voltage quality, and power losses in power systems. The total active power loss function is the object function of the system This function is a non-linear function having many variables depending on many constraints [1÷5]. Liu et al have applied adaptive genetic simulation annealing algorithm [15] and Zhang and Lui have joined the literature by RPO with fuzzy logic controlled particle swarm algorithm [16]. ABC is an algorithm incorporated to the literature by Karaboğa in 2005 This algorithm is used for the optimization of many non-linear problems in a short time slice [21÷30]. Chaotic sequences have been adopted instead of random sequences and good results have been shown in many applications They have been used together with some heuristic optimization algorithms (Alatas, Akin, & Ozer, 2009; Coelho & Mariani, 2008) [31, 32] to express optimization variables. It is shown by the results that active power losses can be decreased by CABC algorithm
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