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Pregled bibliografske jedinice broj: 947783

Maximization of Expected Wind Power Plant Profit Through Optimal Offers on the Day-Ahead Market


Jakus , Damir; Vasilj, Josip; Sarajčev Petar; Novaković, Joško
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)


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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

Profili:

Avatar Url Damir Jakus (autor)

Avatar Url Josip Vasilj (autor)

Avatar Url Petar Sarajčev (autor)

Avatar Url Joško Novaković (autor)


Citiraj ovu publikaciju:

Jakus , Damir; Vasilj, Josip; Sarajčev Petar; Novaković, Joško
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)
Jakus , D., Vasilj, J., Sarajčev Petar & Novaković, J. (2018) Maximization of Expected Wind Power Plant Profit Through Optimal Offers on the Day-Ahead Market. U: 15th International Conference on the European Energy Market.
@article{article, author = {Jakus, Damir and Vasilj, Josip and Novakovi\'{c}, Jo\v{s}ko}, year = {2018}, pages = {1-5}, keywords = {wind power, forecast, optimal bid, balancing energy, imbalance costs}, title = {Maximization of Expected Wind Power Plant Profit Through Optimal Offers on the Day-Ahead Market}, keyword = {wind power, forecast, optimal bid, balancing energy, imbalance costs}, publisherplace = {\L\'{o}d\'{z}, Poljska} }
@article{article, author = {Jakus, Damir and Vasilj, Josip and Novakovi\'{c}, Jo\v{s}ko}, year = {2018}, pages = {1-5}, keywords = {wind power, forecast, optimal bid, balancing energy, imbalance costs}, title = {Maximization of Expected Wind Power Plant Profit Through Optimal Offers on the Day-Ahead Market}, keyword = {wind power, forecast, optimal bid, balancing energy, imbalance costs}, publisherplace = {\L\'{o}d\'{z}, Poljska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus





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