著者
兼子 晶誠 大上 皓 加藤 利次 井上 馨
出版者
一般社団法人 電気学会
雑誌
電気学会論文誌D(産業応用部門誌) (ISSN:09136339)
巻号頁・発行日
vol.140, no.9, pp.685-693, 2020-09-01 (Released:2020-09-01)
参考文献数
17
被引用文献数
2

Stability analysis is necessary for designing power conversion systems to ensure proper execution of the designed operations. The impedance method is useful for the analysis and it requires input or output frequency characteristics of converters that are often difficult to derive manually and analytically. This paper proposes an automatic formulation and analysis method, which utilizes a general-purpose simulation algorithm for the frequency analysis of an averaged power converter, based on connection and model information of circuit and control elements. This method is generally applicable even to a converter with nonlinear elements, such as a multiplier as far as the objective system can be linearized at the operating point. As application examples, a buck converter and a grid-forming inverter with power control are analyzed for the frequency characteristics of input or output impedances, which are utilized for stability analysis by the impedance method.
著者
加藤 利次 井上 馨 秋山 佑介 大橋 功基
出版者
一般社団法人 電気学会
雑誌
電気学会論文誌D(産業応用部門誌) (ISSN:09136339)
巻号頁・発行日
vol.136, no.9, pp.615-621, 2016-09-01 (Released:2016-09-01)
参考文献数
11
被引用文献数
4 2

A grid-connected inverter is indispensable for photovoltaic power generation and smart grid systems, and it must be designed for stable operation. The impedance method based on the Nyquist criterion is often utilized to analyze the stability of grid-connected inverter systems. The impedance method is based on the eigen values of the product of the inverter output admittance and the line impedance matrices in the frequency domain. However, the frequency characteristics have so far been derived only for inverters with analog control systems. A new frequency analysis method for inverters with digital control systems is proposed in this paper. First, a stability analysis example for a three-phase LCL-type inverter controlled digitally is shown and the results are compared and validated with those by simulation using a Saber simulator. Finally, they are also compared and validated with experimental results digitally controlled by a DSP-based system.