Advancements in the field of power electronics led to global changes in the electrical energy generation, transmission, and distribution. The voltage source converter (VSC) based HVDC system is the future of the power system due to the advantages it offers in terms of renewable power generation, transmission, and integration. Currently, the two-terminal VSC–HVDC systems have been successfully commissioned. Multi-terminal VSC–HVDC system is the developing trend for higher power reliability, large scale integration, and smart operation. The performance of a VSC based multi-terminal direct current (MTDC) system greatly depends upon the tuning of the controller. Standard practice is to tune the PI controller using hit and trial method or based on the operator’s experience. However, the tuning process becomes complex when multiple grids are involved. Thus, for MTDC systems, the manual tuning of the controller does not yield the desired results. This paper presents a centralized fuzzy logic-based optimization technique for VSC control of the MTDC system to obtain the optimized parameters for the PI controllers. The optimized parameters ensure a better system performance in terms of fast settling time, better slew rate, minimum undershoot, and minimum overshoot response. The proposed technique is tested on a three-terminal MTDC network in SIMULINK / MATLAB.

中文翻译：

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基于集中模糊逻辑的 MTDC 网络中 VSC 控制的 PI 控制器优化

电力电子领域的进步导致全球电能的产生、传输和分配发生了变化。基于电压源换流器 (VSC) 的 HVDC 系统是电力系统的未来，因为它在可再生能源发电、传输和集成方面提供了优势。目前，两端VSC-HVDC系统已成功投运。多端VSC-HVDC系统是更高电力可靠性、大规模集成和智能运营的发展趋势。基于 VSC 的多端直流 (MTDC) 系统的性能在很大程度上取决于控制器的调整。标准做法是使用命中和试验方法或根据操作员的经验来调整 PI 控制器。然而，当涉及多个网格时，调整过程变得复杂。因此，对于 MTDC 系统，控制器的手动调整不会产生预期的结果。本文提出了一种基于集中模糊逻辑的优化技术，用于 MTDC 系统的 VSC 控制，以获得 PI 控制器的优化参数。优化的参数可确保在快速建立时间、更好的转换速率、最小下冲和最小过冲响应方面获得更好的系统性能。所提出的技术在 SIMULINK/MATLAB 中的三端 MTDC 网络上进行了测试。优化的参数可确保在快速建立时间、更好的转换速率、最小下冲和最小过冲响应方面获得更好的系统性能。所提出的技术在 SIMULINK/MATLAB 中的三端 MTDC 网络上进行了测试。优化的参数可确保在快速建立时间、更好的转换速率、最小下冲和最小过冲响应方面获得更好的系统性能。所提出的技术在 SIMULINK/MATLAB 中的三端 MTDC 网络上进行了测试。