Abstract
This paper presents an efficient design and real time implementation of a complete model and control of grid connected photovoltaic (PV) array. To capture the maximum available solar power, Adaptive Neuro-Fuzzy Inference System (ANFIS) implemented in real time using dSPACE is proposed. An efficient and independent active and reactive P-Q power control is proposed and implemented to transfer the generated power to the grid using a voltage source converter (VSC). The proposed controllers are implemented along with the PV system considered in Real Time Digital Simulator (RTDS) and dSPACE 1104 controller to evaluate their effectiveness. By varying the irradiation and temperature, the effectiveness of the proposed P-Q controller to transfer the generated power to the grid is examined. It is observed that the hardware in the loop results verify the superiority of the proposed approach.
| Original language | English |
|---|---|
| Article number | 220 |
| Pages (from-to) | 35-40 |
| Number of pages | 6 |
| Journal | Renewable Energy and Power Quality Journal |
| Volume | 1 |
| Issue number | 14 |
| DOIs | |
| State | Published - May 2016 |
Bibliographical note
Publisher Copyright:© 2016, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- ANFIS MPPT
- Active and reactive power control
- PV system
- RTDS
- Voltage source converter
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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