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Pregled bibliografske jedinice broj: 653298

A stochastic optimization approach to optimal bidding on dutch ancillary services markets


Puglia, Laura; Virag, Ana; Jokić, Andrej; Bemporad, Alberto
A stochastic optimization approach to optimal bidding on dutch ancillary services markets // Proceedings of the 10th International Conference on the European Energy Market
Stockholm, Švedska, 2013. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 653298 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A stochastic optimization approach to optimal bidding on dutch ancillary services markets

Autori
Puglia, Laura ; Virag, Ana ; Jokić, Andrej ; Bemporad, Alberto

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 10th International Conference on the European Energy Market / - , 2013

Skup
International Conference on the European Energy Market 2013

Mjesto i datum
Stockholm, Švedska, 2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
optimal bidding; stochastic optimization; energy markets; ancillary services markets

Sažetak
The aim of this paper is to present a market design for trading capacity reserves (also called Ancillary Services, AS) and to introduce a strategy for the optimal bidding problem in such a scenario. In the deregulated market, the presence of several market participants or Balance Responsible Parties (BRPs) entitled for trading energy, together with the increasing integration of renewable sources and price-elastic loads, shift the focus on decentralized control and reliable forecast techniques. The main feature of the considered market design is its double-sided nature. In addition to portfolio-based supply bids and based on prediction of their stochastic production and load, BRPs are allowed to submit risk-limiting requests. Requesting capacity from the AS market corresponds to giving to the market an estimate of the possible deviation from the daily production schedule resulting from the day-ahead auction and from bilateral contracts, named E-Program. In this way each BRP is responsible for the balanced and safe operation of the electric grid. On the other hand, at each Program Time Unit (PTU) BRPs must also offer their available capacity under the form of bids. In this paper, a bidding strategy to the double-sided market is described, where the risk is minimized and all the constraints are fulfilled. The algorithms devised are tested in a simulation environment and compared to the current practice, where the double-sided auction is not contemplated. Results in terms of expected imbalances and reliability are presented.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Andrej Jokić (autor)

Citiraj ovu publikaciju:

Puglia, Laura; Virag, Ana; Jokić, Andrej; Bemporad, Alberto
A stochastic optimization approach to optimal bidding on dutch ancillary services markets // Proceedings of the 10th International Conference on the European Energy Market
Stockholm, Švedska, 2013. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Puglia, L., Virag, A., Jokić, A. & Bemporad, A. (2013) A stochastic optimization approach to optimal bidding on dutch ancillary services markets. U: Proceedings of the 10th International Conference on the European Energy Market.
@article{article, author = {Puglia, Laura and Virag, Ana and Joki\'{c}, Andrej and Bemporad, Alberto}, year = {2013}, keywords = {optimal bidding, stochastic optimization, energy markets, ancillary services markets}, title = {A stochastic optimization approach to optimal bidding on dutch ancillary services markets}, keyword = {optimal bidding, stochastic optimization, energy markets, ancillary services markets}, publisherplace = {Stockholm, \v{S}vedska} }
@article{article, author = {Puglia, Laura and Virag, Ana and Joki\'{c}, Andrej and Bemporad, Alberto}, year = {2013}, keywords = {optimal bidding, stochastic optimization, energy markets, ancillary services markets}, title = {A stochastic optimization approach to optimal bidding on dutch ancillary services markets}, keyword = {optimal bidding, stochastic optimization, energy markets, ancillary services markets}, publisherplace = {Stockholm, \v{S}vedska} }




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