Energy dispatch optimization of islanded multi-microgrids based on symbiotic organisms search and improved multi-agent consensus algorithm

Kang Yang, Chunhua Li, Xu Jing, Zhiyu Zhu, Yuting Wang, Haodong Ma and Yu Zhang

Energy, 2022, vol. 239, issue PC

Abstract: To improve the utilization rate of renewable energy resources (RES) and solve energy dispatch optimization of islanded multi-microgrids (MMG), a phased algorithm based on symbiotic organisms search (SOS) and an improved multi-agent (MA) consensus algorithm (IMACA) is proposed. The structure of islanded MMG based on the MA system is established and community MG is added to make full use of RES. The algorithm including two phases is established: Maximum consumption of RES based on SOS in Phase 1 is used to redistribute the shiftable load in time and space to reduce the residual RES; Energy dispatch optimization based on IMACA in Phase 2 obtains the optimal solution gradually through error adjustment step-size and weight matrix composed of unit cost and introduces artificial operators to improve the global searching ability. The purpose of IMACA is to overcome the problems of inverse solution and the need to clarify the operation cost relationship among each unit in the traditional MA consensus algorithm. Simulation shows that the utilization rate of RES can reach 99.99% when the difference between RES and load is large at some moments, and the output of each unit can be allocated quickly and reasonably to obtain the maximum economic benefit.

Keywords: islanded multi-microgrids; energy dispatch optimization; multi-agent; symbiotic organisms search; improved multi-agent consensus algorithm (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221023537
Full text for ScienceDirect subscribers only

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:eee:energy:v:239:y:2022:i:pc:s0360544221023537

DOI: 10.1016/j.energy.2021.122105

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().