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Non-linear loads cause the harmonics into the facility arrangement and these harmonics produce copiously of issues within the system. Once application of unbalanced and nonlinear loads will increase, supply gets distorted and unbalanced. These currents foul the provision point of the utility. Therefore, it is important to compensate unbalance, a harmonic and reactive component of the load currents. Whereas once supply is unbalanced and distorted, these problems worsen the system (Saifullah Khalid, Comparison of Control Strategies for Shunt Active Power Filter under balanced, unbalanced and distorted supply conditions, 2013) (Chen, 2005) (Vasant, 2016) (Saifullah & Bharti, 2014) (Khalid & Dwivedi, Power quality improvement of constant frequency aircraft electric power system using Fuzzy Logic, Genetic Algorithm and Neural network control based control scheme, 2013). By the appliance of shunt, active power filters within the system can eliminate harmonic, reactive and unbalanced current still as improve the ability provide performance and so the steadiness of system.
Today, the soft computing techniques are used widely for optimization of the system applied or in control system; algorithms (González, 2015; Guillermin, 1996; Marmolejo, 2017; Marmolejo, 2015; Amin, Ping, Arof & Mohamed, 2002; Jain, Agrawal, & Gupta, 2002; Norman, Samsul, Mohd & Jasronita, 2004; Afonso, 1998) used for locating the optimized values of the controllers variables (Chiewchitboon, Tipsuwanpom, Soonthomphisaj, & Piyarat, 2003; Kumar & Mahajan, 2009; Ismail, Abdeldjebar, Abdelkrim, Mazari, & Rahli, 2008; Wang, Zhang, XinheXu, & Jiang, 2006), optimization of active power filter using GA (Khalid, 2017), power loss diminution using particle swarm optimization (Thangaraj, Thanga, Pant, Ajit, & Grosan, 2010), ANN Control (Pinto, Bose & da Silva, 2001; Rajasekaran, 2005; Rojas, 1996; Zerikat & Chekroun, 2008; Seong-Hwan, Tae-Sik, YooJi-Yoon, & Gwi-Tae, 2001) applied in each machinery and filter devices.