Optimal Placement and Capacity of UPFC Using JMFALO Technique to Upgrade Power System Dynamic Stability
Tarasi Madhuranthaka1, T. Gowri Manohar2
1Tarasi Madhuranthaka*, Research Scholar, Department of Electrical and Engineering, S.V. University College Of Engineering, Tirupati, India.
2T. Gowri Manohar, Professor, Department of Electrical & Electronics Engineering, S.V. Univeristy College of Engineering, Tirupati, India.
Manuscript received on September 20, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 737-746 | Volume-9 Issue-1, October 2019 | Retrieval Number: F9294088619/2019©BEIESP | DOI: 10.35940/ijeat.F9294.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes an optimal placement and capacitance of UPFC for enhancing the dynamic stability of a power system using a new hybrid optimization technique. The hybrid optimization technique is the joined execution of both the moth flame optimization (MFO) and ant lion optimization (ALO) and hence it is named as Joined moth flame ant lion optimization (JMFALO) technique. Here, the MFO technique optimizes the maximum power loss line as the suitable location of the UPFC by considering the variation available in the bus system power flow parameters like voltage, angle, real power and reactive power. Dependent on the ALO technique the influenced location parameters and dynamic stability constraints are restored into secure limits utilizing the optimum capacity of the UPFC with least voltage deviation, loss of power, and reduced installation cost. Subsequently, to restore the dynamic stability constraints at a secure limit the optimized UPFC capacity is utilized. The dynamic stability constraint of the system is power balance constraint, active and reactive power loss, and UPFC installation cost and bus voltage constraints. The proposed technique is implemented in MATLAB Simulink working platform. The performance of the proposed technique is assessed by utilizing the comparison analysis with the existing techniques.
Keywords: Optimal Placement, UPFC, Power System’s Dynamic Stability, MFO, ALO.