Merging slime mould with whale optimization algorithm for optimal allocation of hybrid power flow controller in power system

ABSTRACT This manuscript proposes the optimal allocation of hybrid power flow controller (HPFC) using hybrid technique. The proposed technique is the implementation of Integrated Slime Mould Algorithm (ISMA). The searching behaviour of Slime Mould Algorithm (SMA) is enhanced by the position updating behaviour of the whale optimisation algorithm (WOA). HPFC, a hybrid topology, has VAR compensator or an impedance-type FACTS device, most probably obtainable at power system, and two voltage source converters depend on controllers share a general DC link. The novel contributions of allocating HPFC at optimal location for multi-objective fitness functions denote minimal real power loss of system as well as minimal generation cost using ISMA method. Here, ISMA method optimises maximum line of power loss as appropriate location of unified power flow controller (UPFC). The optimal location parameters and dynamic stability restrictions are restored with normal constraints, employing UPFC optimal capacity has been optimised to decreased cost with the help of ISMA technique.