Real-time optimal power flow of South Sulawesi network system that integrated wind power plant based on artificial intelligence

• Autorzy: Ilyas Andi Muhammai , Suyuti Ansar , Gunadin Indar Chaerah , Said Sri Mawar

Identyfikatory

DOI

10.15199/48.2022.06.30

Warianty tytułu

PL

Optymalny przepływ mocy w czasie rzeczywistym w systemie sieci South Sulawesi, który zintegrował elektrownię wiatrową w oparciu o sztuczną inteligencję

• Języki publikacji: EN

Abstrakty

EN

The development and utilization of technology are always directly proportional to the need for electrical energy. Real-time power flow research is used to evaluate the effect of wind power generation fluctuations on existing conventional systems. This research was conducted on the South Sulawesi electricity network system using Modified Improved Particle Swarm Optimization (MIPSO). The real-time results show that the power loss in the conventional system that is interconnected with wind power plants is 63.9208 WM, less than the power loss in the conventional system, which is 85.9440 WM. Likewise, the cost of the generating system connected to a wind power plant is $23368.6622/hour, lower than the conventional system power of $23503.444/hour, reducing costs or efficiency by 0.5735%/hour. Real-time analysis of optimal power flow with MIPSO can be used to determine the effect of changes in power generated by wind power plants on the conventional power grid system of Southwest Sulawesi.

PL

Rozwój i wykorzystanie technologii są zawsze wprost proporcjonalne do zapotrzebowania na energię elektryczną. Badania przepływu mocy w czasie rzeczywistym służą do oceny wpływu wahań generacji wiatrowej na istniejące systemy konwencjonalne. Badania przeprowadzono na systemie sieci elektroenergetycznej Południowego Sulawesi przy użyciu metody Modified Improved Particle Swarm Optimization (MIPSO). Wyniki w czasie rzeczywistym pokazują, że strata mocy w systemie konwencjonalnym, który jest połączony z elektrowniami wiatrowymi, wynosi 63.9208 WM, czyli mniej niż strata mocy w systemie konwencjonalnym, która wynosi 85,9440 WM. Podobnie, koszt systemu wytwórczego podłączonego do elektrowni wiatrowej wynosi 233686622 USD/godz., czyli jest niższy niż konwencjonalna moc systemu wynosząca 23503,444 USD/godz., co zmniejsza koszty lub wydajność o 0,5735%/godz. Analiza w czasie rzeczywistym optymalnego przepływu mocy za pomocą MIPSO może być wykorzystana do określenia wpływu zmian mocy generowanej przez elektrownie wiatrowe na konwencjonalny system sieci energetycznej południowo-zachodniego Sulawes.

Słowa kluczowe

EN

real-time; OPF; MIPSO

PL

przepływ mocy; optymalizacja; czas rzeczywisty

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 6
• Strony: 168--171
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Ilyas Andi Muhammai

• Department of Electrical Engineering, Faculty of Engineering University of Hasanuddin Makassar Indonesia
• Department of Electrical Engineering, Faculty of Engineering, Khairun University, Ternate, North Moluccas, Indonesia

• https://orcid.org/0000-0001-6001-2298

autor

Suyuti Ansar

• Department of Electrical Engineering, Faculty of Engineering University of Hasanuddin Makassar Indonesia

• https://orcid.org/0000-0002-7742-9986

autor

Gunadin Indar Chaerah

• Department of Electrical Engineering, Faculty of Engineering University of Hasanuddin Makassar Indonesia

• https://orcid.org/0000-0001-9516-0282

autor

Said Sri Mawar

• Department of Electrical Engineering, Faculty of Engineering University of Hasanuddin Makassar Indonesia

• https://orcid.org/0000-0002-4879-4001

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).