Robust Multi Objective Control of Autonomous Hybrid Power System
V. S. R. Pavan Kumar. Neeli1, U. Salma2

1V.S.R.Pavan Kumar. Neeli, Research Scholar, Department of EEE, GITAM (Deemed to be University), Visakhapatnam (Andhra Pradesh), India.
2Dr.U.Salma, Associate Professor, Department of EEE, GITAM (Deemed to be University), Visakhapatnam (Andhra Pradesh), India.

Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 612-619 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6687048419/19©BEIESP
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Abstract: The objective of this paper was to investigate the load frequency control (LFC) problem of Single area power system integrted with the Distributed generation (DG) resources. The DG system contains Wind turbine generator (Wg), Solar PV system (Pv), Diesel engine generator (Dg), Fuel cell (Fc) with Aqua electrolyzer (Ae) and Energy storage like Battery energy storage system (Bss). A novel and proposed controller such as two degree freedom Proportioal integral and derivative (2DOFPID) controller is established to minimize the frequency of oscillations. The constrained parameters of the controller are tunend by three modern optimization techniques such as Salp swarm algorithm (SSA), Grasshopper optimization Algorithm (GOA), and Ant lion Optimzer (ALO) algorithm based on Multi objectives and their performances are compared with the most popular swarm intelligent technique like Particle sarm optimization (PSO). The robustness of proposed controller is examined with three sets of load variations. The simulation based comparitive results explores that the SSA tuned 2DOFPID controller is capable to mitigate the frequency deviations as compared to other algorithms.
Keywords: Automatic Generation Control (AGC), Salp Swarm Algorithm (SSA), Grasshopper Optimization Algorithm (GOA), Ant Lion Optimizer (ALO), Particle Swarm Opti-Mization (PSO), 2DOFPID Controller.

Scope of the Article: Algorithm Engineering