@inproceedings{197a516561644fd5af9e5696cdd88adc,
title = "Dynamic security optimal power flow considering wind farm and energy storage with line outage distribution factor",
abstract = "Nowadays, renewable energy is an alternative and may also decrease the operating costs of generation from thermal generators. One of renewable energy is the wind, due to its intermittent nature. Energy storage is necessary to store energy as a backup if the power generated cannot supply as needed and as at the time contingency conditions occur. The contingency is a condition that can violate operational constraints such as line limits, generator ramp rates, and generator limits. Dynamic Optimal Power Flow (DOPF) analysis is needed to analyze changes in load at any time within a certain time span. Sensitivity factors such as Line Outage Distribution Factor (LODF) will be used to accelerate the calculation of contingency conditions in all lines. DOPF analysis with LODF is used in this research as a calculation of contingency condition by considering the safety limits. This method will be conducted on modified IEEE 30 bus system with wind farm and energy storages to see the security limits working.",
keywords = "Energy storage, LODF, Optimal Power Flow, System security limits, Wind power probability",
author = "Karimatun Nisa' and Wibowo, {Rony Seto} and Putri, {Vita Lystianingrum Budiharto} and Utama, {Hari Putra}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th Electrical Power, Electronics, Communications, Controls, and Informatics Seminar, EECCIS 2020 ; Conference date: 26-08-2020 Through 28-08-2020",
year = "2020",
month = aug,
day = "26",
doi = "10.1109/EECCIS49483.2020.9263474",
language = "English",
series = "EECCIS 2020 - 2020 10th Electrical Power, Electronics, Communications, Controls, and Informatics Seminar",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "43--48",
booktitle = "EECCIS 2020 - 2020 10th Electrical Power, Electronics, Communications, Controls, and Informatics Seminar",
address = "United States",
}