The dynamic economic dispatch in an integrated wind-thermal electricity market using simulated annealing algorithm

• Autorzy: Bouddou Riyadh

Identyfikatory

DOI

10.15199/48.2020.11.12

Warianty tytułu

PL

Ekonomiczny rozsył energii w zintegrowanym z energetyką wiatrową rynkiem metodą symulowanego wyżarzania

• Języki publikacji: EN

Abstrakty

EN

This paper proposes simulated annealing (SA) algorithm to solve the bid based dynamic economic dispatch (BBDED) problem with wind energy integration to study the performance and the economic benefit of wind energy integration in a deregulated electricity market. The proposed method is tested for convergence, robustness, and efficiency applied on a 10-unit test system with 12-period load demand. The results obtained are compared with other relevant methods, considering different constraints like power balance, generation limits, and ramp rate limits.

PL

Zaproponowano algorytm symulowanego wyżarzania problemu bazującego na ofercie ekonomicznego rozsyłu energii. Rozważano przypadek dołączonej do systemu energii wiatrowej i nieregulowanego rynku energii. Analizowano niezawodność i skuteczność na przykładzie systemu z 10 jednostkami.

Słowa kluczowe

EN

deregulated electricity market; bid based dynamic economic dispatch; wind energy; simulated annealing algorithm

PL

ekonomiczny rozsył energii; energetyka wiatrowa; zderegulowany rynek; symulowane wyżarzanie

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 11
• Strony: 55--60
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Bouddou Riyadh

• Department of Electrical Engineering, IRECOM Laboratory, Faculty of Electrical Engineering, University of Djillali Liabes, Sidi Bel Abbes, Algeria

Bibliografia

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• [18] Takeang, C., Aurasopon, A., Multiple of hybrid lambda iteration and simulated annealing algorithm to solve economic dispatch problem with ramp rate limit and prohibited operating zones, Journal of Electrical Engineering & Technology, 14 (2019), No. 1, 111-120
• [19] Ziane, I ., Benhamida, F., Graa, A., Simulated annealing algorithm for combined economic and emission power dispatch using max/max price penalty factor, Neural Computing and Applications, 28 (2017), No. 1, 1197-205
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• [22] Souag, S. , Benhamida, F . , A dynamic power system economic dispatch enhancement by wind integration considering ramping constraint-application to Algerian power system, International Journal of Renewable Energy Research (IJRER), 5 (2002), No. 3, 794-805

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).