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Open Access

A New Filter Collaborative State Transition Algorithm for Two-Objective Dynamic Reactive Power Optimization

School of Electrical Engineering, Xinjiang University, Urumqi 830047, China.
Department of Automation, Tsinghua University, Beijing 100084, China.
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Abstract

Dynamic Reactive Power Optimization (DRPO) is a large-scale, multi-period, and strongly coupled nonlinear mixed-integer programming problem that is difficult to solve directly. First, to handle discrete variables and switching operation constraints, DRPO is formulated as a nonlinear constrained two-objective optimization problem in this paper. The first objective is to minimize the real power loss and the Total Voltage Deviations (TVDs), and the second objective is to minimize incremental system loss. Then a Filter Collaborative State Transition Algorithm (FCSTA) is presented for solving DRPO problems. Two populations corresponding to two different objectives are employed. Moreover, the filter technique is utilized to deal with constraints. Finally, the effectiveness of the proposed method is demonstrated through the results obtained for a 24-hour test on Ward & Hale 6 bus, IEEE 14 bus, and IEEE 30 bus test power systems. To substantiate the effectiveness of the proposed algorithms, the obtained results are compared with different approaches in the literature.

Keywords

dynamic reactive power optimizationfilter collaborative state transition algorithmWard & Hale 6 busIEEE 14 busIEEE 30 bus

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Tsinghua Science and Technology
Volume 24 Issue 1,
February 2019
Pages 30-43
DOI: 10.26599/TST.2018.9010068
Cite this article:
Zhang H, Wang C, Fan W. A New Filter Collaborative State Transition Algorithm for Two-Objective Dynamic Reactive Power Optimization. Tsinghua Science and Technology, 2019, 24(1): 30-43. https://doi.org/10.26599/TST.2018.9010068

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Received: 10 April 2017
Revised: 24 May 2017
Accepted: 25 May 2017
Published: 08 November 2018
© The author(s) 2019
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