| Autor: |
Anant Milan Khalkho, Bhargav Rapada, Gourab Majumder, Murthy Cherukuri, Dusmanta Kumar Mohanta |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Frontiers in Energy Research, Vol 10 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2296-598X |
| DOI: |
10.3389/fenrg.2022.851449 |
| Popis: |
The global concerted effort toward achieving carbon neutrality has given impetus to the accelerated growth of renewable energy sources with government patronage. The smart grid has the mandate to integrate renewable energy sources adeptly toward meeting the vision of carbon neutrality by 2050 in many countries. Solar energy generation has emerged as one of the most viable options due to the rapid stride of innovations in this domain as well as due to the decreasing trend of the cost of photovoltaic (PV) technology. However, the uncertain sunlight leading to uncertain solar energy generation with a low-capacity factor has been a challenge to maintain the legacy reliability of the power system. Unlike a two-state model being used for analyzing conventional generators, a multistate model has been proposed for incorporating the random variation of solar energy generation correlating with random irradiance. An innovative approach for formulating probabilistic modeling of solar energy is implemented to evaluate different reliability indices such as loss of load probability (LOLP) and expected energy not served (EENS). Different case studies with results prove the efficacy of the proposed probabilistic model–based availability of solar power generation due to solar irradiance uncertainty along with interaction with stochastic load model on smart grid reliability and carbon neutrality. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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