مشخصات پژوهش

عنوان	Model Predictive Control for Indirect Boost Matrix Converter Based on Virtual Synchronous Generator
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	AC-AC converters , distributed power generations , indirect matrix converter , power control , power system stability , predictive control , virtual synchronous generator
چکیده	Indirect boost matrix converter is potentially a great alternative to a back-to-back converter for permanent magnet synchronous generators based distributed generation since it can achieve a voltage-boost functionality without utilizing a bulky DC-link capacitor. Despite the success of the indirect boost matrix converter topology, there still exist some issues in the relevant control structure that must be resolved appropriately. First, the existing controls are grid-following controls, which is incapable of islanded operation. Secondly, the exiting controls generate a highly distorted current waveform, which needs to be suppressed by a passive damping resistor. Moreover, without an energy storage element, the distributed generations have no short-time power reserve unit for providing an inertial power to support the utility. In order to solve these issues, a novel approach based on a modified virtual synchronous control and a finite control set model predictive control scheme is proposed in this paper. The former is adopted to ensure proper operations in both grid-connected and islanded modes and to emulate the virtual inertial response by drawing inertial power from the input source. The latter utilizes multi-controls of real-time variables to avoid complicated coupling between the input side and the output side controls and to grant the indirect boost matrix converter with the capability of providing active filter resonance damping. Comparative studies between the proposed control and its existing counterpart are conducted with several simulations in PSCAD/EMTDC software to demonstrate the superior performances of the proposed strategy. Finally, the proposed control is verified in a scale-down experiment testbed.
پژوهشگران	یوتا یاناگیساوا (نفر سوم)، ژونگریست ژونگودومکارن (نفر اول)، توشیفومی ایسی (نفر پنجم)، حسن بیورانی (نفر چهارم)، جیا لیو (نفر دوم)