Optimal energy scheduling of micro-grids considering the uncertainty of solar and wind renewable resources

Mohammad Ali Taghikhani () and Behnam Zangeneh
Additional contact information
Mohammad Ali Taghikhani: Imam Khomeini International University
Behnam Zangeneh: Imam Khomeini International University

Journal of Scheduling, 2022, vol. 25, issue 5, No 5, 567-576

Abstract: Abstract Nowadays, electricity consumption in industrial and domestic sectors is growing increasingly. In recent years, due to the expansion of consumption and increased concern about environmental pollution resulting from the use of fossil fuels to generate electricity and running out of the resources, using renewable energies such as wind and solar has been considered. One of the problems in these resources is the inherent uncertainty as well as accidental nature of these sources, which complicates planning and forecasting of resources. In this paper, optimal scheduling of micro-grid connected to the main grid with renewable energy resources is studied with the help of mixed-integer linear programming in general algebraic modeling system (GAMS) software. A diesel generator is used in cooperation with other renewable resources so as to control the load instability. Furthermore, stochastic programming and probabilistic scenarios are used in order to model the uncertainty of wind and solar resources. Solar power is predicted to be in the interval of hour 6th to hour 19th. At the outset and also at the end of day, power generation has the minimum amount, while the maximum amount of power generation can be found at hour 13th. Battery charging occurrence is in the case of low load, which is existent for the grid in all the scenarios (nights: at hours 2nd to 5th; days: at hours 13th to 15th). Selling the energy to the main grid is performed at the times in which the denoted price possesses the peak value (at hours 8th to 12th and 19th to 22th). Finally, operation cost of the micro-grid using the proposed method is compared with genetic algorithm, which confirms the efficiency of the method.

Keywords: Optimal scheduling of power; Mixed-integer programming; Uncertainty; Renewable energy resources; Micro-grid (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10951-022-00739-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:jsched:v:25:y:2022:i:5:d:10.1007_s10951-022-00739-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10951

DOI: 10.1007/s10951-022-00739-5

Access Statistics for this article

Journal of Scheduling is currently edited by Edmund Burke and Michael Pinedo

More articles in Journal of Scheduling from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().