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| A Modeling Method of Passive Equivalent Circuit Network for Broadband Impedance of High-Power Electromagnetic Equipment |
| Xu Yinxiang1, Liu Qifeng1, Huang Xiaoting1, Feng Zhenjing2, Ming Ruotong3 |
1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 China;
2. China Construction Fourth Engineering Bureau Co. Ltd Yunnan Branch Kunming 650000 China;
3. Chongqing University - University of Cincinnati Joint Co-op Institute Chongqing 400044 China |
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Abstract Due to the large-scale use of power conversion modules in complex systems such as ship-integrated power systems and the increasing dv/dt and di/dt caused by the rapid increase of switching frequency, which brings serious electromagnetic interference risks to complex systems such as ship-integrated power systems. Therefore, in the electromagnetic compatibility design stage of complex systems such as ship-integrated power systems, it is urgent to model the electrical network of the strong electromagnetic equipment in the system to carry out equivalent physical simulation and support the hardware-in-the-loop electromagnetic compatibility test. The vector fitting method is commonly used in engineering literature to model the equivalent circuit network with the impedance of strong electromagnetic equipment. However, due to the problem of "port passivity" and "component passivity" caused by non-positive components, the physical realization of the equivalent circuit network cannot be ensured. To solve this problem, this paper proposes a new physically realizable wideband impedance modeling method for strong electromagnetic equipment, which integrates vector fitting method, residue perturbation method, and optimization algorithm.
Firstly, the impedance data of strong electromagnetic equipment are mathematically fitted by the vector fitting method, so that the discrete test data can be transformed into continuous rational functions. Secondly, considering the inherent "port passivity" problem caused by the vector matching method, the residual perturbation method is introduced to modify the results of the vector matching method to avoid the numerical divergence problem in the time domain simulation. Then, according to the knowledge of electrical networks, the rational function modified by "port passivity" is further transformed into equivalent circuit networks. Finally, to ensure the rapid and efficient completion of the "component passivity" correction, the particle swarm optimization algorithm (PSO) and the Beetle Antennae Search Algorithm (BAS) are utilized in this paper for their simpler principle,fewer parameters,faster search speed and less needof computer resources. The reason is that these two algorithms have many advantages such as simple principle, few parameters, fast search speed and low need of computer resources. Aiming at the non-positive components in the equivalent circuit network, these two algorithms are used to correct the "component passivity" of the whole equivalent circuit network, and an equivalent circuit network composed entirely of passive components is obtained.
To verify the correctness and reliability of this method, this paper selects AC-AC converter and permanent magnet synchronous motor as two typical pieces of equipment in the ship-integrated power systems. Combined with the effective measurement range of WK 6500B impedance analyzer and CE102 of national military testing standards GJB 151B—2013, these impedances are measured in the frequency band of 10 kHz~10 MHz, and its equivalent circuit network is established using the method proposed in this paper. By comparing the experimental data of the two devices with the simulation data of the equivalent circuit network, the proposed method can meet the error requirements of electromagnetic compatibility test, and the correctness and reliability of the proposed method can be verified. Through the verification and analysis of these two practical devices, it is found that the BAS is more suitable for the proposed method than the PSO.
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Received: 16 May 2022
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2023, Vol. 38 
