Design and Optimization of Fractional Order PID Controller to Enhance Energy Storage System Contribution for Damping Low-Frequency Oscillation in Power Systems Integrated with High Penetration of Renewable Sources
Hasan Ali Abumeteir and
Ahmet Mete Vural
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Hasan Ali Abumeteir: Electrical and Electronics Engineering Department, Gaziantep University, Sehitkamil, Gaziantep 27410, Turkey
Ahmet Mete Vural: Electrical and Electronics Engineering Department, Gaziantep University, Sehitkamil, Gaziantep 27410, Turkey
Sustainability, 2022, vol. 14, issue 9, 1-19
Abstract:
This paper proposes adding a controller to the energy storage system (ESS) to enhance their contribution for damping low-frequency oscillation (LFO) in power systems integrated with high penetration of different types of renewable energy sources (RES). For instance, wind turbines and photovoltaic (PV) solar systems. This work proposes superconducting magnetic energy storage (SMES) as an ESS. The proportional–integral–derivative (PID) and fractional-order PID (FOPID) are suggested as supporter controllers with SMES. The PID and FOPID controller’s optimal values will be obtained using particle swarm optimization (PSO) is used as the optimization method. Both local area and inter-area oscillation is considered in this work as a LFO. To investigate the impact of adding the SMES with the proposed controller, a multimachine power system with different integration scenarios and cases is carried out with a PV system and wind turbine. The system responses are presented and discussed to show the superiority of the proposed controller both in the time domain and by eigenvalues analysis.
Keywords: damping low-frequency oscillations; renewable energy sources; superconducting magnetic energy storage; particle swarm optimization; fractional-order; proportional–integral–derivative (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)
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