Real-Time Simulation of a Wind-Solar-Battery Based Microgrid System

被引：4

作者：

Roy, Bappa ^{[1
]}

Adhikari, Shuma ^{[1
]}

Datta, Subir ^{[2
]}

Lalngaihawma, Samuel ^{[2
]}

Samanta, Soumya ^{[3
]}

机构：

[1] NIT Manipur, Dept Elect Engn, Imphal, Manipur, India

[2] Mizoram Univ, Dept Elect Engn, Aizawl, Mizoram, India

[3] Tezpur Univ, Dept Elect Engn, Tezpur, Assam, India

来源：

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2023年 / 18卷 / 03期

关键词：

Microgrid; Vector control scheme; Power management; Deep learning based MPPT; OPAL-RT (OP 4510); ENERGY; MPPT; ALGORITHM;

D O I：

10.1007/s42835-022-01292-z

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The increasing demand for electrical energy with the knowledge of clean technologies has attracted researchers to generate electric power utilizing renewable sources of energy. Therefore, in this article, a wind-batter-solar based microgrid model is considered for studying its performances under various real-time scenarios such as (i) non-availability of wind power, (ii) non-availability of solar power, and (iii) availability of all sources. In this system, vector control schemes are applied to manage the power flow for tracking maximum power. The deep learning-based maximum power point tracking (MPPT) system is used for both solar and wind systems. For real-time validation, the studied model is designed for the RT_LAB environment. The system behavior is also investigated in real-time with OPAL-RT (OP 4510) simulator. Results are investigated thoroughly and it can be concluded that the proposed technique can be operated and implemented in real-time.

引用

页码：2087 / 2102

页数：16

共 32 条

[1] Transformer-based time series prediction of the maximum power point for solar photovoltaic cells [J].

Agrawal, Palaash ;

Bansal, Hari Om ;

Gautam, Aditya R. ;

Mahela, Om Prakash ;

Khan, Baseem .

ENERGY SCIENCE & ENGINEERING, 2022, 10 (09) :3397-3410

[2]

Al-Agtash S, 2021, Energy and Power Engineering, V13, P51, DOI [10.4236/epe.2021.131004, 10.4236/epe.2021.131004, DOI 10.4236/EPE.2021.131004]

[3]

Babu B., 2017, IOSR J. Electr. Electron. Eng, V2, P95

[4] Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions [J].

Benyoucef, Abou Soufyane ;

Chouder, Aissa ;

Kara, Kamel ;

Silyestre, Santiago ;

Sahed, Oussama Ait .

APPLIED SOFT COMPUTING, 2015, 32 :38-48

[5]

Beriber Dalila, 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), P1437, DOI 10.1109/PowerEng.2013.6635826

[6] Permanent Magnet Synchronous Generator-Based Standalone Wind Energy Supply System [J].