Exploration of DG Placement Strategy of Microgrids via FMFO Algorithm: Considering Increasing Power Demand and Diverse DG Combinations

Xiancheng Wang, Thiruvenkadam Srinivasan, Hyuntae Kim and In-ho Ra
Additional contact information
Xiancheng Wang: Academic Affairs Office, Jiujiang University, Jiujiang 332005, China
Thiruvenkadam Srinivasan: Department of Electrical and Electronics Engineering, P.A. College of Engineering and Technology, Pollachi 642003, Tamilnadu, India
Hyuntae Kim: School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea
In-ho Ra: School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea

Energies, 2020, vol. 13, issue 24, 1-24

Abstract: Distributed energy resource (DER) has been widely deployed, and distributed generation (DG) can complement the distribution system. Favorable DG deployment provides the grid-connected microgrid (MG) with stable voltage and reduces emission and power generation costs. DGs are considered distributed feeders, and MG is required to be operated under the optimal state. Reconfiguration is a practical approach to optimizing resource allocation. The optimal global solution is obtained via optimization algorithms. In this paper, three objectives are defined, namely, minimization of economic cost (ECC), emission cost (EMC), and voltage deviation (VD). Consequently, a fuzzy moth-flame optimization (FMFO) algorithm is proposed to coordinate the interests of multiple objectives. Moreover, the simulation is conducted based on the standard IEEE 33-bus radial distribution system (RDS), under which the impact of deployment of various DG type and quantity on the MG is explored. In particular, diverse DG combinations are tried under the increasing power demand, and a high-stable voltage strategy is proposed to meet the specific demands. The simulation results reveal that: (1) the DG type has a significant impact on ECC and EMC; (2) penetration level of DG shows a positive-like relationship with the MG stability; and (3) the proposed FMFO algorithm exhibits an efficient performance in convergence.

Keywords: microgrid; reconfiguration; distributed energy resource; DG placement; FMFO algorithm; DG deployment strategy (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/24/6568/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/24/6568/ (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:13:y:2020:i:24:p:6568-:d:461359

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 ().