Multi-attribute decision making approach for placement of dynaflow controllers in a power system network using particle mobility honey bee algorithm

Abstract

The appropriate placement of flexible AC transmission systems (FACTS) is becoming more critical in power systems. FACTS controllers that are not correctly positioned cannot provide optimum performance and harm the system. The “dynaflow device,“ newly developed FACTS controller, must be inspected to verify that it is correctly placed on the power network before being used. Multi-attribute decision-making techniques (MADMs) address a broad range of decision-making problems, which are frequently employed in energy planning. In this work, a MADM combined with a particle mobility honey bee algorithm (PMHBA) is proposed to determine the optimum places for the simultaneous installation of two dynaflow devices to maximise efficiency. The method is shown with the help of an IEEE 30 bus power system network. Two main MADM methods, namely, the weighted sum model (WSM) and the technique for order preference by similarity to ideal solution (TOPSIS), were examined with respect to the ranks of alternatives.