Real-Time Dispatch for Multi-Unit Hydroelectric Plants With AC Optimal Power Flow: The Case of the Santo Antonio System

The growing demand for green energy has driven the development of large-capacity hydroelectric plants away from load centers. In this setting, one key aspect is constructing electrical networks for efficient power transmission to the primary grid, which is sometimes combined with high-voltage direct...

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Autores principales: Danilo P. C. Filho, Erlon C. Finardi, Antonio F. C. Aquino
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Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/1a9aed41af684f4c82514d186cd88e38
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spelling oai:doaj.org-article:1a9aed41af684f4c82514d186cd88e382021-11-18T00:02:10ZReal-Time Dispatch for Multi-Unit Hydroelectric Plants With AC Optimal Power Flow: The Case of the Santo Antonio System2169-353610.1109/ACCESS.2021.3124041https://doaj.org/article/1a9aed41af684f4c82514d186cd88e382021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9592796/https://doaj.org/toc/2169-3536The growing demand for green energy has driven the development of large-capacity hydroelectric plants away from load centers. In this setting, one key aspect is constructing electrical networks for efficient power transmission to the primary grid, which is sometimes combined with high-voltage direct-current systems. However, on-site applications based on real-time dispatch problems often do not model AC power flow (ACPF) constraints, partly because of a lack of appealing methods to simultaneously include the dispatch and ACPF operating characteristics. Furthermore, a precise hydropower production function, a priority in this type of problem, can introduce additional complexity, and practical applications commonly sacrifice grid-connection modeling. This paper proposes a technique for incorporating ACPF constraints in real-time hydro dispatch, promoting widespread methods and optimization tools. The proposed strategy is based on mixed-integer quadratic programming that yields convergent electrical variables compatible with the exact ACPF to minimize a compromise between transmission losses and turbined outflow. The testbed is the Santo Antônio system, composed of 50 generating units, 13 power transformers, and 41 buses. Simulations based on real-life data demonstrate the impact of ACPF modeling, achieving consistently reduced losses above 5%, at the cost of a higher processing time.Danilo P. C. FilhoErlon C. FinardiAntonio F. C. AquinoIEEEarticleHydroelectric power generationoptimal schedulingreal-time dispatchhigh voltage direct currentSanto Antonio plantoptimal power flowElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149322-149337 (2021)
institution DOAJ
collection DOAJ
language EN
topic Hydroelectric power generation
optimal scheduling
real-time dispatch
high voltage direct current
Santo Antonio plant
optimal power flow
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Hydroelectric power generation
optimal scheduling
real-time dispatch
high voltage direct current
Santo Antonio plant
optimal power flow
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Danilo P. C. Filho
Erlon C. Finardi
Antonio F. C. Aquino
Real-Time Dispatch for Multi-Unit Hydroelectric Plants With AC Optimal Power Flow: The Case of the Santo Antonio System
description The growing demand for green energy has driven the development of large-capacity hydroelectric plants away from load centers. In this setting, one key aspect is constructing electrical networks for efficient power transmission to the primary grid, which is sometimes combined with high-voltage direct-current systems. However, on-site applications based on real-time dispatch problems often do not model AC power flow (ACPF) constraints, partly because of a lack of appealing methods to simultaneously include the dispatch and ACPF operating characteristics. Furthermore, a precise hydropower production function, a priority in this type of problem, can introduce additional complexity, and practical applications commonly sacrifice grid-connection modeling. This paper proposes a technique for incorporating ACPF constraints in real-time hydro dispatch, promoting widespread methods and optimization tools. The proposed strategy is based on mixed-integer quadratic programming that yields convergent electrical variables compatible with the exact ACPF to minimize a compromise between transmission losses and turbined outflow. The testbed is the Santo Antônio system, composed of 50 generating units, 13 power transformers, and 41 buses. Simulations based on real-life data demonstrate the impact of ACPF modeling, achieving consistently reduced losses above 5%, at the cost of a higher processing time.
format article
author Danilo P. C. Filho
Erlon C. Finardi
Antonio F. C. Aquino
author_facet Danilo P. C. Filho
Erlon C. Finardi
Antonio F. C. Aquino
author_sort Danilo P. C. Filho
title Real-Time Dispatch for Multi-Unit Hydroelectric Plants With AC Optimal Power Flow: The Case of the Santo Antonio System
title_short Real-Time Dispatch for Multi-Unit Hydroelectric Plants With AC Optimal Power Flow: The Case of the Santo Antonio System
title_full Real-Time Dispatch for Multi-Unit Hydroelectric Plants With AC Optimal Power Flow: The Case of the Santo Antonio System
title_fullStr Real-Time Dispatch for Multi-Unit Hydroelectric Plants With AC Optimal Power Flow: The Case of the Santo Antonio System
title_full_unstemmed Real-Time Dispatch for Multi-Unit Hydroelectric Plants With AC Optimal Power Flow: The Case of the Santo Antonio System
title_sort real-time dispatch for multi-unit hydroelectric plants with ac optimal power flow: the case of the santo antonio system
publisher IEEE
publishDate 2021
url https://doaj.org/article/1a9aed41af684f4c82514d186cd88e38
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AT erloncfinardi realtimedispatchformultiunithydroelectricplantswithacoptimalpowerflowthecaseofthesantoantoniosystem
AT antoniofcaquino realtimedispatchformultiunithydroelectricplantswithacoptimalpowerflowthecaseofthesantoantoniosystem
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