Abstract
In this paper, an Integral Sliding Mode Control (ISMC) is presented to extract maximum power from photovoltaic (PV) system in the presence of uncertainties. The considered SISO system is affected by bounded uncertainty, which is directly effecting desire output of PV system. The main objective of this paper is to design such closed loop control system which can tolerate the uncertainty and make possible the maximum power extraction from PV system. Hence, ISMC is proposed as a robust control mechanism against these uncertainties. The efficiency of the presented concept is demonstrated in detail, using results of numerical simulations.
| Original language | English |
|---|---|
| Title of host publication | 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies |
| Subtitle of host publication | Idea to Innovation for Building the Knowledge Economy, iCoMET 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728149707 |
| DOIs | |
| Publication status | Published - Jan 2020 |
| Externally published | Yes |
| Event | 3rd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2020 - Sukkur, Pakistan Duration: Jan 29 2020 → Jan 30 2020 |
Publication series
| Name | 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies: Idea to Innovation for Building the Knowledge Economy, iCoMET 2020 |
|---|
Conference
| Conference | 3rd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2020 |
|---|---|
| Country/Territory | Pakistan |
| City | Sukkur |
| Period | 1/29/20 → 1/30/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Bounded uncertainty
- ISMC
- MPPT
- PV system
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems and Management
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Management, Monitoring, Policy and Law
- Computational Mathematics
- Control and Optimization
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