A Mixed-Integer Second-Order Cone Programming Algorithm for the Optimal Power Distribution of AC-DC Parallel Transmission Channels

Energies

Sen He¹  Shunjiang Lin¹  Zhibin Yang¹  Yunong Song¹  Guansheng Fan¹  Mingbo Liu¹  Zhiqiang Tang¹ 

[1] School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China;

关键词: AC-DC interconnected power grid;    optimal power distribution of transmission channels;    dynamic optimal power flow;    cone relaxation;    big M method;    mixed-integer second-order cone programming;   

DOI  :  10.3390/en12193605

来源: DOAJ

【 摘 要 】

For the controllability of the transmission power of DC transmission channels, the optimal power distribution (OPD) of AC-DC parallel transmission channels is an effective measure for improving the economic operation of an AC-DC interconnected power grid. A dynamic optimal power flow model for day-ahead OPD of AC-DC parallel transmission channels is established in this paper. The power flow equation constraints of an AC-DC interconnected power grid and the constraints of the discrete regulation requirement of the transmission power of DC channels are considered, which make the OPD model of the AC-DC parallel transmission channels a mixed-integer nonlinear non-convex programming (MINNP) model. Through a cone relaxation transformation and a big M method equivalent transformation, the non-convex terms in the objective function and constraints are executed with the convex relaxation, and the MINNP model is transformed into a mixed-integer second-order cone programming model that can be solved reliably and efficiently using the mature optimization solver GUROBI. Taking an actual large-scale AC-DC interconnected power grid as an example, the results show that the OPD scheme of the AC-DC parallel transmission channels obtained by the proposed algorithm can effectively improve the economical operation of an AC-DC interconnected power grid.

【 授权许可】

Unknown