Demand Response and Flexible Management to Improve Microgrids Energy Efficiency with a High Share of Renewable Resources
Hakimi, Seyed Mehdi; Hajizadeh, Amin; Shafie-khah, Miadreza; Catalão, João P.S. (2020-12-01)
Hakimi, Seyed Mehdi
Hajizadeh, Amin
Shafie-khah, Miadreza
Catalão, João P.S.
Elsevier
01.12.2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020120299116
https://urn.fi/URN:NBN:fi-fe2020120299116
Kuvaus
vertaisarvioitu
©2020 Elsevier. This manuscript version is made available under the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY–NC–ND 4.0) license, https://creativecommons.org/licenses/by-nc-nd/4.0/
©2020 Elsevier. This manuscript version is made available under the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY–NC–ND 4.0) license, https://creativecommons.org/licenses/by-nc-nd/4.0/
Tiivistelmä
Energy and social welfare management of smart buildings have been influenced by cooling systems. Although the combination of cooling systems in the smart grid has stimulated serious discussions over the last decade, its execution and control with more penetration of renewable energy have not been directly tackled. Hence, the present paper is designed to explore the suitability of implementing a novel controller for a cooling system in smart grid settings and high shares of renewable energies. The controller operates from a local control entity by responding to a set of inside nominated points and outside signals, such as access to renewable energy sources and customer welfare. Not only it reduces the purchasing power from the distribution grid with the help of optimization processes, but also minimizes the overall cost and size of the microgrid. Managing the cooling system simultaneously increases the reliability of the microgrid. As a result, the smart cooling system and renewable energy operate in unity, thus providing separate and mutual benefits for the whole system. The results presented in this study support that the proposed cooling system controller is capable of planning a microgrid system.
Kokoelmat
- Artikkelit [3030]