MILP-PSO Combined Optimization Algorithm for an Islanded Microgrid Scheduling with Detailed Battery ESS Efficiency Model and Policy Considerations

Rae-Kyun Kim, Mark B. Glick, Keith R. Olson and Yun-Su Kim
Additional contact information
Rae-Kyun Kim: Encored Technologies, Seoul 06109, Korea
Mark B. Glick: Hawaii Natural Energy Institute, Honolulu, HI 96822, USA
Keith R. Olson: Natural Energy Laboratory of Hawaii Authority, Kailua, HI 96740, USA
Yun-Su Kim: School of Integrated Technology, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea

Energies, 2020, vol. 13, issue 8, 1-17

Abstract: This paper presents the optimal scheduling of a diesel generator and an energy storage system (ESS) while using a detailed battery ESS energy efficiency model. Optimal scheduling has been hampered to date by the nonlinearity and complexity of the battery ESS. This is due to the battery ESS efficiency being a multiplication of inverter and battery efficiency and the dependency of an inverter and any associated battery efficiencies on load and charging and discharging. We propose a combined mixed-integer linear programming and particle swarm optimization (MILP-PSO) algorithm as a novel means of addressing these considerations. In the algorithm, MILP is used to find some initial points of PSO, so that it can find better solution. Moreover, some additional algorithms are added into PSO to modify and, hence, improve its ability of dealing with constraint conditions and the local minimum problem. The simulation results show that the proposed algorithm performs better than MILP and PSO alone for the practical microgrid. The results also indicated that simplification or neglect of ESS efficiency when applying MILP to scheduling may cause a constraint violation.

Keywords: battery energy storage system; islanded microgrid; linear programming; optimal scheduling; particle swarm optimization (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: View citations in EconPapers (10)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/8/1898/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/8/1898/ (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:8:p:1898-:d:345022

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 ().