EconPapers    
Economics at your fingertips  
 

An Optimal Scheduling Dispatch of a Microgrid under Risk Assessment

Whei-Min Lin, Chung-Yuen Yang, Chia-Sheng Tu and Ming-Tang Tsai
Additional contact information
Whei-Min Lin: Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 807, Taiwan
Chung-Yuen Yang: Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 807, Taiwan
Chia-Sheng Tu: College of Intelligence Robot, Fuzhou Polytechnic, Fuzhou 350108, China
Ming-Tang Tsai: Department of Electrical Engineering, Cheng-Shiu University, Kaohsiung 833, Taiwan

Energies, 2018, vol. 11, issue 6, 1-17

Abstract: This paper presents the scheduling dispatch of a microgrid (MG), while considering renewable energy, battery storage systems, and time-of-use price. For the risk evaluation of an MG, the Value-at-Risk (VAR) is calculated by using the Historical Simulation Method (HSM). By considering the various confidence levels of the VAR, a scheduling dispatch model of the MG is formulated to achieve a reasonable trade-off between the risk and cost. An Improved Bee Swarm Optimization (IBSO) is proposed to solve the scheduling dispatch model of the MG. In the IBSO procedure, the Sin-wave Weight Factor (SWF) and Forward-Backward Control Factor (FBCF) are embedded in the bee swarm of the BSO to improve the movement behaviors of each bee, specifically, its search efficiency and accuracy. The effectiveness of the IBSO is demonstrated via a real MG case and the results are compared with other methods. In either a grid-connected scenario or a stand-alone scenario, an optimal scheduling dispatch of MGs is carried out, herein, at various confidence levels of risk. The simulation results provide more information for handling uncertain environments when analyzing the VAR of MGs.

Keywords: MicroGrid (MG); bee swarm optimization; Value-at-Risk; scheduling dispatch (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/6/1423/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/6/1423/ (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:11:y:2018:i:6:p:1423-:d:150339

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 ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1423-:d:150339