[논문]태양광 발전 시스템의 전역 최대 발전전력 추종을 위한 인공지능 기반 기법 비교 연구

이채은; 장요한; 정승훈; 배성우

doi:10.6113/tkpe.2022.27.4.297

태양광 발전 시스템의 전역 최대 발전전력 추종을 위한 인공지능 기반 기법 비교 연구
Comparative Study of Artificial-Intelligence-based Methods to Track the Global Maximum Power Point of a Photovoltaic Generation System 원문보기

전력전자학회 논문지 = The Transactions of the Korean Institute of Power Electronics, v.27 no.4, 2022년, pp.297 - 304

이채은 (Dept. of Electrical Engineering, Hanyang University) , 장요한 (Dept. of Electrical Engineering, Hanyang University) , 정승훈 (Dept. of Electrical & Electronic Engineering, Yonam Institute of Technology) , 배성우 (Dept. of Electrical Engineering, Hanyang University)

Abstract ▼ AI-Helper

This study compares the performance of artificial intelligence (AI)-based maximum power point tracking (MPPT) methods under partial shading conditions in a photovoltaic generation system. Although many studies on AI-based MPPT have been conducted, few studies comparing the tracking performance of various AI-based global MPPT methods seem to exist in the literature. Therefore, this study compares four representative AI-based global MPPT methods including fuzzy logic control (FLC), particle swarm optimization (PSO), grey wolf optimization (GWO), and genetic algorithm (GA). Each method is theoretically analyzed in detail and compared through simulation studies with MATLAB/Simulink under the same conditions. Based on the results of performance comparison, PSO, GWO, and GA successfully tracked the global maximum power point. In particular, the tracking speed of GA was the fastest among the investigated methods under the given conditions.

주제어

표/그림 (14)

그림 Fig. 1. Configuration of photovoltaic array.
그림 Fig. 2. P-V curve of photovoltaic generation system. (a) Under uniform conditions, (b) Under variable conditions.
그림 Fig. 3. Block diagram of fuzzy logic control.
그림 Fig. 4. Flowchart of particle swarm optimization.
표 TABLE I RULES FOR FUZZY LOGIC CONTROL
그림 Fig. 5. Flowchart of grey wolf optimization.
그림 Fig. 6. Flowchart of genetic algorithm.
그림 Fig. 7. Simulation diagram of photovoltaic generation system.
표 TABLE II SPECIFICATION OF PHOTOVOLTAIC PANEL
그림 Fig. 8. Output power of the photovoltaic generation system under the case 1 and case 2.
그림 Fig. 9. Simulation results under the case 1. (a) FLC, (b) PSO, (c) GWO, (d) GA.
표 TABLE III IRRADIATION PARAMETER FOR EACH CASE
그림 Fig. 10. Simulation results under the case 2. (a) FLC, (b) PSO, (c) GWO, (d) GA.
표 TABLE IV COMPARISON OF MPPT METHODS

참고문헌 (10)

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상세보기
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상세보기
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상세보기
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상세보기
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상세보기
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상세보기
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