Differential Evolution Algorithm for Security Constrained Optimal Power Flow
Priyadarshini. M1, Murali Babu. B2
1Priyadarshini.M, Department of Electronics Engineering, Paavai Engineering College, Pachal, Namakkal, India.
2Murali Babu.B, Department of Electronics Engineering, Paavai Engineering College, Pachal, Namakkal, India.
Manuscript received on May 27, 2013. | Revised Manuscript received on June 04, 2013. | Manuscript published on June 30, 2013. | PP: 352-356 | Volume-2, Issue-5, June 2013. | Retrieval Number: E1829062513/2013©BEIESP
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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 presents a differential evolution algorithm approach to solve Security Constrained Optimal Power Flow (SCOPF) problem in power system including FACTS device. In this process, under a line outage the generation cost is to be minimised and to keep the power flow in their security limits, in addition to that the losses is to be minimised after installing the FACTS device. A versatile FACTS device Unified Power Flow Controller (UPFC) is considered as a combination of SVC and TCSC .The operating limit of the FACTS device is defined not only to minimize the total generation cost but also to reduce transmission loss. The proposed method was tested using standard IEEE-30 bus system with 6 generating units to show the effectiveness of the proposed algorithm for solving the SCOPF problem.
Keywords: Differential Evolution, generation cost, transmission loss, Security Constrained Optimal Power flow, UPFC, SVC, TCSC.