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Complex Sliding Surface Based on Genetic Algorithm and Integral Compensation for Improving Solar Inverter Performance

En-Chih Chang 1, Yow-Chyi Liu 2, and Kuo-Yuan Liao 1
1. Department of Electrical Engineering, I-Shou University, Kaohsiung City, Taiwan, R.O.C.
2. Department of Electrical Engineering, Kao Yuan University, Kaohsiung City, Taiwan, R.O.C.

Abstract—This paper proposes the performance improvement of the solar inverter using Complex Sliding Surface (CSS) based on Genetic Algorithm (GA) and Integral Compensation (IC). The CSS can restore incomplete system dynamics of Traditional Sliding Surface (TSS). However, the chattering and steady-state errors still exist in CSS. For solar inverter applications, the chattering causes high voltage harmonics and steady-state errors yield inaccurate tracking control. To improve the performance of solar inverter, the GA is well adopted to tune CSS’s control gains so that the chattering can be removed. Simultaneously, steady-state errors can be eliminated by the addition of the IC. With the proposed approach, the system yields a solar inverter with high-quality AC output voltage under nonlinear and transient loading conditions. Experiments are given to verify the efficacy of the proposed approach. Because the proposed approach is simpler to implement than prior methods and offers more precise tracking control, this paper will be of interest to designers of related renewable energy systems.

Index Terms—solar inverter, Complex Sliding Surface (CSS), Genetic Algorithm (GA), Integral Compensation (IC), voltage harmonics

Cite: En-Chih Chang, Yow-Chyi Liu, and Kuo-Yuan Liao, "Complex Sliding Surface Based on Genetic Algorithm and Integral Compensation for Improving Solar Inverter Performance," International Journal of Electrical Energy, Vol. 3, No. 4, pp. 252-256, December 2015. doi: 10.18178/ijoee.3.4.252-256

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