[1]Zhang Jian,Bear strong,Wang Mingdong,et al.Dynamic Reactive Power Optimization in Active Distribution Network Based on Second-Order Cone Programming[J].Journal of Zhengzhou University (Engineering Science),2019,40(01):32-37.[doi:10.13705/j.issn.1671-6833.2019.01.003]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 01
Page number:
32-37
Column:
Public date:
2019-01-10
- Title:
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Dynamic Reactive Power Optimization in Active Distribution Network Based on Second-Order Cone Programming
- Author(s):
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Zhang Jian 1; Bear strong 1; Wang Mingdong 1; Zhu Yongsheng 2
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1. Institute of Industrial Technology, Zhengzhou University; 2. School of Electronic Information, Zhongyuan Institute of Technology
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- Keywords:
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active distribution network; Second-order cone programming; Multi-objective optimization; reactive power optimization
- CLC:
-
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- DOI:
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10.13705/j.issn.1671-6833.2019.01.003
- Abstract:
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In order to increase the utilization rate of distributed energy and the to reduce network loss and voltage deviation,the multi-objective model of dynamic reactive power optimization with active and reactive power coordination for the distribution network was proposed in this paper.It consisted of Energy Storage System,Capacitors Banks,Static VAR Compensation,On-load Tap Changer, and distribution generation. The analytic hierarchy process was used to transform the multi-objective into a single target. The Big-M method was used to linearize the model, and the relaxation theory is used to relax the convexity into the form of the second-order cone programming. Case study of the improved IEEE 33 network verified the effectiveness of the proposed model.Cplex was used to get the switching capacity and time each active management device. It was proved that the proposed method in this paper was reasonable.