Pregled bibliografske jedinice broj: 947783
Maximization of Expected Wind Power Plant Profit Through Optimal Offers on the Day-Ahead Market
Maximization of Expected Wind Power Plant Profit Through Optimal Offers on the Day-Ahead Market // 15th International Conference on the European Energy Market
Łódź, 2018. str. 1-5 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 947783 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Maximization of Expected Wind Power Plant Profit
Through Optimal Offers on the Day-Ahead Market
Autori
Jakus , Damir ; Vasilj, Josip ; Sarajčev Petar ; Novaković, Joško
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
15th International Conference on the European Energy Market
/ - Łódź, 2018, 1-5
Skup
15th International Conference on the European Energy Market
Mjesto i datum
Łódź, Poljska, 27.06.2018. - 29.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
wind power, forecast, optimal bid, balancing energy, imbalance costs
Sažetak
In the electricity markets every deviation between the contracted power production and the real energy supplied is usually penalized or paid according to the market prices. This gives incentive to the market participants to provide accurate production schedules. Wind power producers (WPP) can generate production forecasts with limited accuracy due to wind nature itself. In the markets where WPP are treated as a balance responsible parties they will account for the day-ahead market prices and balancing energy prices when placing market bids in order to maximize their profit. This paper presents mixed integer optimization model for the optimal bidding of WPP production in the day-ahead market in order to minimize imbalance costs. The uncertainty related to the market prices on the day-ahead and balancing markets as well as WPP forecasts is accounted for by considering large scenario set which is than reduced by applying the fast forward scenario reduction algorithm.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Sveučilište u Splitu Sveučilišni odjel za stručne studije
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus