Diagonal Quadratic Approximation for Decentralized Collaborative TSO+DSO Optimal Power Flow

Collaborative operation of electricity transmission and distribution systems improves the economy and reliability of the entire power system. However, this is a challenging problem given that transmission system operators (TSOs) and distribution system operators (DSOs) are autonomous entities that a...

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Vydané v:IEEE transactions on smart grid Ročník 10; číslo 3; s. 2358 - 2370
Hlavní autori: Mohammadi, Ali, Mehrtash, Mahdi, Kargarian, Amin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.05.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
analytical target cascading
Approximation
Autonomy
Collaboration
Collaborative transmission and distribution operation
Computing time
Couplings
decentralized optimization
Decision making
diagonal quadratic approximation
Electric power distribution
Indexes
Iterative methods
Load flow
Mathematical analysis
Operators
Optimization
parallel algorithm
Power flow
Privacy
ISSN:1949-3053, 1949-3061
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Shrnutí:Collaborative operation of electricity transmission and distribution systems improves the economy and reliability of the entire power system. However, this is a challenging problem given that transmission system operators (TSOs) and distribution system operators (DSOs) are autonomous entities that are unwilling to reveal their commercially sensitive information. This paper presents a decentralized decision-making algorithm for collaborative TSO+DSO optimal power flow (OPF) implementation. The proposed algorithm is based on analytical target cascading for multilevel hierarchical optimization in complex engineering systems. A local OPF is formulated for each TSO/DSO taking into consideration interactions between the transmission and distribution systems while respecting autonomy and information privacy of TSO and DSOs. The local OPF of TSO is solved in the upper-level of hierarchy, and the local OPFs of DSOs are handled in the lower-level. A diagonal quadratic approximation (DQA) and a truncated DQA are presented to develop iterative coordination strategies in which all local OPFs are solved in a parallel manner with no need for a central coordinator. This parallel implementation significantly enhances computations efficiency of the algorithm. The proposed collaborative TSO+DSO OPF is evaluated using a 6-bus and the IEEE 118-bus test systems, and promising results are obtained.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2018.2796034