A smart electricity markets for a decarbonized microgrid system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50021847" target="_blank" >RIV/62690094:18450/25:50021847 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s00202-024-02699-9?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=clarivate" target="_blank" >https://link.springer.com/article/10.1007/s00202-024-02699-9?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=clarivate</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00202-024-02699-9" target="_blank" >10.1007/s00202-024-02699-9</a>
Alternative languages
Result language
angličtina
Original language name
A smart electricity markets for a decarbonized microgrid system
Original language description
Demand response (DR) programs are potentially powerful tools to support renewable energy integration, ensure power balance and update electricity market mechanism. Based on the existing work, in this paper propose a day-ahead a smart electricity markets for a decarbonized microgrid system with the DR program. The proposed system aims to minimize the operating cost, and carbon emission. An IEEE 33-bus system is used as an illustrative example to validate the application of the proposed smart electricity market model in the real large system. The proposed unit utilizes the African Vultures Optimization Algorithm (AVOA) which is used to optimize the cost of operation based on current load demand, energy prices and generation capacities. Also, a comparison between the optimization outcomes obtained results is implemented using Artificial Rabbits Optimization Algorithm (AROA), and Grasshopper Optimization Algorithm (GOA). The simulation results reveal that energy costs and PAR can be reduced energy cost, and carbon emission, whereas the Discomfort Index (DI) is maintained at a minimum value.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ELECTRICAL ENGINEERING
ISSN
0948-7921
e-ISSN
1432-0487
Volume of the periodical
107
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
21
Pages from-to
5405-5425
UT code for WoS article
001329810600001
EID of the result in the Scopus database
2-s2.0-85206603209