DOI: 10.14704/nq.2022.20.8.NQ44666

Applications of continuous ant colony optimization and multi-objective hybridized differential evolution for the best location of microcontroller-built FACTS techniques

Mahadevan J, Rengaraj R, Bhuvanesh A

Abstract

A combination of rising energy demand and budgetary constraints on the construction of new power plants has led to overloading, excessive transmission of energy, significant loss, decreased energy quality, equality problems, include volt curve difficulties. In order to fix these issues Transmission networks may use Flexible AC Transmit System (FACTS) controllers. It therefore enhances both vigorous and sluggish enactment. To achieve the aforementioned goals, it is necessary to optimize the location, the kind and power of FACTS processors. In this work, a hybrid method called DE-CACO that combines distinct evolution (DE) and continuous ant colony optimization (CACO) has been used to maximize numerous targets, including the reduction of volt variation, loss, price, and line load indices. Three microprocessor-controlled FACTS controller, including the static VAR compensations (SVC), unified power flows controlling scheme (UPFC), and thyristors-controlled series compensators (TCSC), had been positioned on the IEEE 30 buses architecture in an ideal manner

Keywords

FACTS, hybrids DE-CACO, cost reduction, IEEE 30 bus system, optimum allocations.

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