Optimal reactive power dispatch using teaching learning based optimization algorithm in the presence of wind turbine uncertainty

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NAJAFI ARSALAN; FALAGHI HAMID

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Journal: IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP) Year:2018 | Volume:7 | Issue:1 (13) Page(s): 93-101

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Title

Optimal reactive power dispatch using teaching learning based optimization algorithm in the presence of wind turbine uncertainty

Author(s)

NAJAFI ARSALAN | FALAGHI HAMID | Issue Writer Certificate

Keywords

Teaching learning based optimization algorithm algorithmQ1

two points estimate probabilistic power flowQ1

wind turbineQ1

Abstract

Optimal reactive power dispatch plays an important role in economic operation of network by reducing the loss. In this paper, the teaching learning based optimization algorithm is used to optimal reactive power dispatch and voltage control. This algorithm is an evolutionary and population based algorithm which has a great capability to solve the nonlinear problems. This problem is formulated as a mixed integer nonlinear problem including both continues and discrete variables. Optimal solution of problem contains set of generators voltage, tap changers and compensative reactive components. In the proposed approach, using real wind speed data and considering the wind uncertainty, the two points estimate power flow is used to model the uncertainties. The proposed method has been implemented on 57-bus IEEE test case. A comparing has been done between the teaching learning based optimization algorithm and particle swarm optimization and differential evolution algorithms in order to verify the efficiency of the proposed algorithm. The results demonstrate the efficiency of the proposed method in reducing losses and handling the constraints.

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APA: Copy

NAJAFI, ARSALAN, & FALAGHI, HAMID. (2018). Optimal reactive power dispatch using teaching learning based optimization algorithm in the presence of wind turbine uncertainty. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP), 7(1 (13) ), 93-101. SID. https://sid.ir/paper/226133/en

Vancouver: Copy

NAJAFI ARSALAN, FALAGHI HAMID. Optimal reactive power dispatch using teaching learning based optimization algorithm in the presence of wind turbine uncertainty. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP)[Internet]. 2018;7(1 (13) ):93-101. Available from: https://sid.ir/paper/226133/en

IEEE: Copy

ARSALAN NAJAFI, and HAMID FALAGHI, “Optimal reactive power dispatch using teaching learning based optimization algorithm in the presence of wind turbine uncertainty,” IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP), vol. 7, no. 1 (13) , pp. 93–101, 2018, [Online]. Available: https://sid.ir/paper/226133/en

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