Abstract
Microgrids are becoming very popular nowadays throughout the world as they utilize renewable energy resources (RER) effectively. Due to the intermittent nature of the dominant RER, different kind of energy storage systems are introduced to enhance reliability, stability, and performance of the microgrids. This paper presents an effective control and energy management strategy of a direct current (DC) microgrid employing hybrid energy storage systems (HESS). The main components of the modeled microgrid are intermittent RER, variable load, HESS, backup diesel generator, and power electronic converters. The current-mode controller manages to charge and discharge the HESS to overcome the intermittency of the RER and load variation. Besides, it proposes an effective energy management strategy that compensate for the energy generation shortage of the RER by utilizing the backup diesel generator. Furthermore, it maximizes the power generation from the photovoltaic (PV) plant employing maximum power point tracker (MPPT). Finally, this research verifies the effectiveness of the proposed system through simulation where the DC voltage level never crosses ± 5% limit under load variation and RER intermittency.
| Original language | English |
|---|---|
| Title of host publication | 2019 23rd International Conference on Mechatronics Technology, ICMT 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728139982 |
| DOIs | |
| State | Published - Oct 2019 |
Publication series
| Name | 2019 23rd International Conference on Mechatronics Technology, ICMT 2019 |
|---|
Bibliographical note
Publisher Copyright:© 2019 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Current-mode control
- DC microgrid
- DC/DC converter
- Maximum power point tracker
- Renewable energy resources
- hybrid energy storage systems
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
- Control and Optimization
- Transportation
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