Decentralized Stochastic Optimal Power Flow Problem Considering Prohibited Operating Zones and Renewables Sources

The traditional Optimal Power Flow (OPF) problem is formulated in a centralized manner assuming a single operator manager has full access to the system information. However, transmission power systems often consist of interconnected areas controlled by multiple regional operators who can only access...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on industry applications Ročník 61; číslo 2; s. 2216 - 2226
Hlavní autori: Yamaguti, Lucas do Carmo, Home-Ortiz, Juan M., Pourakbari-Kasmaei, Mahdi, Mantovani, Jose Roberto Sanches
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.03.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Decentralized power systems operation
Heuristic methods
Information systems
Load flow
matheuristic optimization
Mixed integer
Nonlinear programming
optimal power flow (OPF)
Power flow
Programming
Prohibited operating zones
prohibited operating zones (POZ)
Radiation effects
Reactive power
Renewable energy sources
Shunts (electrical)
Stochastic processes
Transformers
Uncertainty
Weather
Wind speed
ISSN:0093-9994, 1939-9367
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:The traditional Optimal Power Flow (OPF) problem is formulated in a centralized manner assuming a single operator manager has full access to the system information. However, transmission power systems often consist of interconnected areas controlled by multiple regional operators who can only access local information and must coordinate with neighboring areas, sharing limited data like voltage magnitude and angle at tie-lines. In this work, the decentralized OPF problem is extended by including prohibited operational zones (POZ) constraints of thermoelectrical units and formulated as a mixed-integer nonlinear programming model. Uncertainties in load behavior and renewable energy sources are addressed using a stochastic scenario-based approach. A matheuristic algorithm based on the variable neighborhood descent heuristic method is used to handle the integer variables. The proposed model and solution technique are applied in the IEEE 118-bus system, considering the local weather conditions. The obtained results demonstrate the good quality and performance of the proposed model and solution technique compared with the solution of the OPF problem considering a centralized approach.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2025.3532918