Pregled bibliografske jedinice broj: 1146494
Transmission Expansion Planning using a Highly Accurate AC Optimal Power Flow Approximation
Transmission Expansion Planning using a Highly Accurate AC Optimal Power Flow Approximation // 4th International Conference on Smart Energy Systems and Technologies (SEST 2021)
Vaasa, Finska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1-6 doi:10.1109/sest50973.2021.9543431 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1146494 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Transmission Expansion Planning using a Highly Accurate AC Optimal Power Flow Approximation
Autori
Heide, Otto ; Šepetanc, Karlo ; Pandžić, Hrvoje
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
ISBN
978-1-7281-7660-4
Skup
4th International Conference on Smart Energy Systems and Technologies (SEST 2021)
Mjesto i datum
Vaasa, Finska, 06.09.2021. - 08.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Optimal power flow approximation ; Transmission expansion planning ; Mixed-integer quadratically constrained quadratic program
Sažetak
The objective of transmission network expansion planning is to find the optimal strategy that balances the investment and the operating costs, considering all generation and transmission constraints. Attempts to address this problem in a tractable manner have led researchers to develop different convex relaxations and approximations. Due to the constant power grid evolution, new and improved approximation models are required to successfully handle the upcoming challenges. In this paper, we present a comprehensive approach to handle this highly complex problem both tractably and accurately. The model is based on a convex polar second-order Taylor expansion approximation of the AC power flows where both the voltage magnitudes and angles are quadratically constrained. The proposed approach achieves high accuracy due to the elimination of constraint relaxation errors, as determined by the presolve, which can occur due to the convexification process. The model demonstrated superior accuracy and similar computation times as the existing approximation models. In comparison to the exact formulations, our model shows similar accuracy while improving the computation time.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb