Application of the linear convolution to select a source of alternative energy
Main Article Content
Abstract
The use of alternative energy sources (solar, wind, geothermal), together with traditional sources is relevant for today. This ensures uninterrupted flow of electricity to consumers. However, the efficiency of alternative energy sources is dependent on weather conditions. Therefore, the development of control methods and control algorithms in power systems for providing the connection and disconnection of these sources, depending on user requirements, is actual. Creating these algorithms provides a solution to task of multi-selection. The system that contains three sources of alternative energy - photoelectric, wind generator and a diesel engine considered in this paper. This example shows the selection of one of the sources of the method of linear convolution for specific weather conditions. The conditions for extension of the method were considered when the number of sources or criterias is increasing and when we use as criterias different parameters which can be measured directly or indirectly.
References 4.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
Breusov V.P. (2007), Ispolzovanie solnechnoi energii v dachnih domah (na priusadebnih uchastkah) [The use of solar energy in country cottages (in home gardens)]. Pratsi Instytutu Elekrodynamiky Natsionalnoi Akademii Nauk Ukrainy. Vol. 12, pp.64–69. (Rus)
Zaichenko Yu.P. (2006), Doslidzhennia operatsii: Pidruchnyk, 7-t vyd., pereroblene ta dop. [Operations research]. Kyiv, Vyd. dim “Slovo”, P. 816. (Ukr)
Petergeria Yu.S., Zhuikov V.Ya., Tereshchenko T.O. (2008), Intelektualni systemy zabezpechennia energozberezhennia zhytlovyh budynkiv. Navchalnyi posibnyk [Intelligent systems for energy-efficient homes]. Kyiv, Media-PRES. P. 256.(Ukr)
Chernorutskyi I.G. (2005), Metody priniatiia reshenii: Uchebnoie posobiie [Decision-making methods]. St. Petersburg, BHV-Petersburg. P. 51. (Rus)