Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids
The penetration of distributed generators (DGs) in the existing power system has brought some real challenges regarding the power quality and dynamic response of the power systems. To overcome the above-mentioned issues, the researchers around the world have tried and tested different control method...
Main Authors: | Touqeer Ahmed Jumani, Mohd Wazir Mustafa, Nawaf N. Hamadneh, Samer H. Atawneh, Madihah Md. Rasid, Nayyar Hussain Mirjat, Muhammad Akram Bhayo, Ilyas Khan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/16/4063 |
Similar Items
-
Computational intelligence-based optimization methods for power quality and dynamic response enhancement of ac microgrids
by: Jumani, Touqeer Ahmed, et al.
Published: (2020) -
Optimal Power Flow Controller for Grid-Connected Microgrids using Grasshopper Optimization Algorithm
by: Touqeer Ahmed Jumani, et al.
Published: (2019-01-01) -
Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review
by: Touqeer Ahmed Jumani, et al.
Published: (2020-01-01) -
Optimal Voltage and Frequency Control of an Islanded Microgrid Using Grasshopper Optimization Algorithm
by: Touqeer Ahmed Jumani, et al.
Published: (2018-11-01) -
Hybrid AC/DC Microgrid Planning with Optimal Placement of DC Feeders
by: Xiong Wu, et al.
Published: (2019-05-01)