The wind power scheduling problem
T. R. Lalita () and
G. S. R. Murthy ()
Additional contact information
T. R. Lalita: Indian Statistical Institute
G. S. R. Murthy: Indian Statistical Institute
OPSEARCH, 2021, vol. 58, issue 4, No 3, 810-834
Abstract:
Abstract The importance of renewable energy cannot be overstated. Several nations are coming together in promoting green energy. One of the promotional schemes of the Indian government is the exchange of power under the inter state transmission system. This study deals with a decision-making problem for a large paper manufacturing company in India that exchanges its windmill energy under this scheme. The problem is a challenging combinatorial optimization problem with a quadratic objective function and intricate relationships among decision variables. It is different from the usual decision making problems that are encountered in the literature. In this article, we present a solution methodology and show that the solutions obtained are $$\epsilon$$ ϵ -optimal. Several live instances of the problem are solved and the results are presented and discussed. Both the formulation and the solution approach are innovative.
Keywords: OR in wind power scheduling; Mathematical modelling; Renewable energy usage; Energy efficiency; Inter state transmission system (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s12597-021-00510-y 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:opsear:v:58:y:2021:i:4:d:10.1007_s12597-021-00510-y
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597
DOI: 10.1007/s12597-021-00510-y
Access Statistics for this article
OPSEARCH is currently edited by Birendra Mandal
More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().