Academic Journal of Engineering and Technology Science, 2023, 6(6); doi: 10.25236/AJETS.2023.060602.
Zhu Meiyuan, Ai Yongle
School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, Henan, 454150, China
Distributed power supply connected to distribution network brings impact on system voltage distribution as well as tidal current analysis, which causes degradation of system power quality. For this reason, a system optimization model is needed to analyze and optimize system voltage and tidal current. The linearized second-order cone relaxation optimization algorithm for distribution networks with distributed power sources is proposed. First, the distribution network branch tide model is introduced to analyze the tide of the distribution network with distributed power supply access; based on this, the distributed distribution network tide optimization model is established. Secondly, the distributed distribution network tidal optimization model is simplified, and the multi-time second-order cone relaxation optimization algorithm is proposed for the non-convex nonlinearity in tidal analysis, and the segmental linearization is performed for the non-convex nonlinearity of capacitor bank and on-load regulator transformer. Finally, a modified IEEE33 node test system is used on the MATLAB simulation platform to verify the tidal optimization of this distributed distribution network tidal optimization system. The simulation results show that the tidal optimization algorithm can reasonably dispatch the output of on-load regulating transformers, capacitor banks and distributed power sources, effectively reduce the network loss and the voltage deviation of the grid.
optimal power flow; mixed integer linear programming; segmented linear programming; multi-period SOCP algorithm
Zhu Meiyuan, Ai Yongle. Research on second-order cone relaxation algorithm for multi-time linearization of distribution networks with distributed power sources. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 6: 5-16. https://doi.org/10.25236/AJETS.2023.060602.
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