Выбор мест установки и мощности батарей конденсаторов методом муравьиной колонии с учётом показателей надёжности и качества электроэнергии в распределительной сети

Abstract

Objective. This paper proposes the modification of ant colony system realized in MATLAB to optimize capacitor placement and sizing in the distribution system considering the reliability indices and power quality. Technique. An ant colony search algorithm based on elitist strategy was compared with the heuristic combinatorial optimization methods, fuzzy-reasoning approach, evolution and particle swarm optimization methods using a real IEEE 9-bus test system. Three objective functions were considered to estimate the efficiency of the proposed algorithm. The first one (conventional objective function) is defined by adding the cost of active power losses, capacitors investment cost and penalty cost. The second (reliability-based objective function) is defined as the sum of reliability cost and capacitors investment cost. The third (comprehensive objective function) considers the cost of active power losses, reliability cost, capacitors investment cost and penalty cost. Results. Comprehensive comparison of the different optimization methods showed that the proposed modification of the ant colony search algorithm enables to find the better decisions. It was revealed that the involving reliability indices into objective function at the optimization of capacitor placement and sizing in the real IEEE 9-bus test system by means of proposed modification of the ant colony system results to the almost four times higher benefits comparing to case when conventional objective function is used in the optimization process. Additional benefits can be reached from including the penalty cost for low power quality into objective function. Scientific novelty. An ant colony search algorithm based on elitist strategy was developed to optimize capacitor placement and sizing in the distribution system considering the reliability indices and power quality. Practical value. The proposed algorithm can be used to identify the additional benefits from the optimal capacitor placement and sizing in the distribution system besides reducing active power losses only.