Optimization of low voltage distribution network configuration using forecasts based on Advanced Metering Infrastructure data

• Autorzy: Helt Patrycja , Gulczyński Tomasz , Baczyński Dariusz

Identyfikatory

DOI

10.15199/48.2024.03.46

Warianty tytułu

PL

Optymalizacja konfiguracji sieci rozdzielczej niskiego napięcia z wykorzystaniem prognoz opartych na danych AMI

• Języki publikacji: EN

Abstrakty

EN

The article presents a practical approach to optimizing the configuration of a real LV distribution network. The set of input data, optimization methods and obtained results are described. The optimal configurations were determined on the basis of load forecasts in individual load nodes. Forecasts were made using four forecasting methods. Optimization of the network configuration was carried out using two developed methods: heuristic and genetic. Based on the simulations, practical conclusions were formulated.

PL

W artykule przedstawiono praktyczne podejście do optymalizacji konfiguracji rzeczywistej sieci rozdzielczej nn. Opisano zbiór danych wejściowych, metody optymalizacji i uzyskane wyniki. Na podstawie prognoz obciążenia w poszczególnych węzłach odbiorczych określono optymalne konfiguracje. Prognozy wykonano czterema metodami prognostycznymi. Optymalizację konfiguracji sieci przeprowadzono za pomocą dwóch opracowanych metod: heurystycznej i genetycznej. Na podstawie przeprowadzonych symulacji sformułowano praktyczne wnioski.

Słowa kluczowe

EN

power distribution network; optimization of network configuration; demand forecasting; IT system

PL

elektroenergetyczna sieć rozdzielcza; optymalizacja konfiguracji sieci; prognozowanie zapotrzebowania; system informatyczny

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 3
• Strony: 262--268
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

Helt Patrycja

• Politechnika Warszawska, Instytut Elektroenergetyki, ul. Koszykowa 75, 00-662 Warszawa

• https://orcid.org/0000-0002-0385-9932

autor

Gulczyński Tomasz

• Globema sp. z o.o., ul. Wita Stwosza, 02-661 Warszawa

autor

Baczyński Dariusz

• Politechnika Warszawska, Instytut Elektroenergetyki, ul. Koszykowa 75, 00-662 Warszawa

• https://orcid.org/0000-0001-9052-9159

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).