A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid

Ghulam Abbas, Aqeel Ahmed Bhutto, Touqeer Ahmed Jumani, Sohrab Mirsaeidi (), Mohsin Ali Tunio, Hammad Alnuman and Ahmed Alshahir
Additional contact information
Ghulam Abbas: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Aqeel Ahmed Bhutto: Department of Mechanical Engineering, Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mirs 66020, Pakistan
Touqeer Ahmed Jumani: Department of Electrical Engineering, Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mirs 66020, Pakistan
Sohrab Mirsaeidi: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Mohsin Ali Tunio: Department of Electrical Engineering, Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mirs 66020, Pakistan
Hammad Alnuman: Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia
Ahmed Alshahir: Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia

Energies, 2022, vol. 16, issue 1, 1-14

Abstract: The increasing penetration of Distributed Generators (D.G.) into the existing power system has brought some real challenges regarding the transient response of electrical systems. The injection of D.G.s and abrupt load changes may cause massive power, current, and voltage overshoots/undershoots, which consequently affects the equilibrium of the existing power system and deteriorate the performance of the connected electrical appliances. A robust and intelligent control strategy is of utmost importance to cope with these issues and enhance the penetration level of D.G.s into the existing power system. This paper presents a Modified Particle Swarm Optimization (MPSO) algorithm-based intelligent controller for attaining a desired power-sharing ratio between the M.G. and the main grid with an optimal transient response in a grid-tied Microgrid (M.G.) system. The proposed MPSO algorithm includes an additional parameter named best neighbor particles (rbest) in the velocity updating equation to convey additional information to every individual particle about all its neighbor particles, consequently leading to the increased exploration capability of the algorithm. The MPSO algorithm optimizes P.I. parameters for transient and steady-state response improvement of the studied M.G. system. The main dynamic response evaluation parameters are the overshoot and settling time for active and reactive power during the D.G. connection and load change. Furthermore, the performance of the proposed controller is compared with the PI-PSO-based MG controller, which validates the effectiveness of the proposed M.G. control scheme in maintaining the required active and reactive power under different operating conditions with minimum possible overshoot and settling time.

Keywords: modified PSO; grid-tied microgrid; optimization; transient response enhancement; optimal power sharing controller (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/1/348/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/1/348/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2022:i:1:p:348-:d:1018014

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().