Abstract
The penetration of renewable energy sources into the conventional power systems are evolving day by day. Therefore, in this paper, a photovoltaic (PV) connected thermal system is discussed and analyzed by keeping PV to operate at maximum power point (MPP). The main problem in the interconnection of these systems is load frequency fluctuations due to different load changing conditions. The model predictive controller (MPC) has the ability to predict the target value at real-time with fast convergence. Therefore, MPC is proposed to negate this problem by giving minimum oscillation. The comparison analysis is carried out with other conventional controllers, including genetic algorithm-based PI, firefly algorithm-based PI and PI controller. Simulation results clearly exhibit the outclass performance of MPC over all other controllers.
| Original language | English |
|---|---|
| Article number | 156 |
| Journal | Electronics (Switzerland) |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- Load frequency control
- Maximum power point
- Model predictive controller
- Photovoltaic
- Thermal system
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Hardware and Architecture
- Computer Networks and Communications
- Electrical and Electronic Engineering
