E3S Web Conf.
Volume 185, 20202020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|Number of page(s)||3|
|Section||Energy Engineering and Power System|
|Published online||01 September 2020|
Multi objective reactive power and voltage optimization of distribution network based on adaptive genetic annealing algorithm
1 State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, Zhejiang Province, 310007, China
2 State Grid Zhejiang Electric Power Co., Ltd. Hangzhou Power Supply Company, Hangzhou, Zhejiang Province, 310016, China
3 State Grid Shanghai Energy Interconnection Research Institute Co., Ltd., Shanghai, 201210, China
In this paper, a multi-objective reactive power optimization model of distribution network is established, which takes the minimum of line loss, reactive compensation capacitor switching loss and node voltage deviation as objective, considering the constraints of node voltage, reactive power of wind turbine, capacitor switching times. The improved adaptive genetic annealing algorithm is used to solve the model. IEEE33 system is taken as an example to verify the effectiveness of the reactive power optimization model. When the shunt capacitor and wind turbine are in the optimal reactive power compensation, the line loss of the distribution network can be minimized.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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