Optimal Power Flow in Hybrid AC and Multi-terminal HVDC Networks with Offshore Wind Farm Integration Based on Semidefinite Programming
Yuhao Zhou, Long Zhao, Wei-Jen Lee, Zhenyuan Zhang, Peng Wang

TL;DR
This paper presents a semidefinite programming-based convex relaxation model for optimal power flow in hybrid AC and multi-terminal HVDC systems, enhancing offshore wind farm integration with guaranteed global optimality.
Contribution
It introduces a novel convex relaxation model considering DC/DC converters for hybrid AC and MT-HVDC systems, enabling efficient and globally optimal power flow solutions.
Findings
Model effectively solves the optimal power flow problem.
Simulation validates the model's effectiveness.
Guarantees global optimality of solutions.
Abstract
Multi-terminal high voltage direct current (MTHVDC) technology is a promising technology for the offshore wind farm integration, which requires the new control and operation scheme. Therefore, the optimal power flow problem for this system is important to achieve the optimal economic operation. In this paper, convex relaxation model based on semidefinite programming for the MT-HVDC system considering DC/DC converters is proposed to solve the optimal power flow problem. A hybrid AC and MT-HVDC system for offshore wind farm integration is used for the test. The simulation results validate the effectiveness of the proposed model and guarantee that the global optimum solution is achieved.
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