Distributed Online Voltage Control in Active Distribution Networks Considering PV Curtailment

In this paper, we propose a distributed online voltage control algorithm for distribution networks with multiple photovoltaic (PV) systems based on dual-ascent method. Conventional distributed algorithms implement voltage control only when the algorithms converge. However, our proposed algorithm is...

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Vydáno v:IEEE transactions on industrial informatics Ročník 15; číslo 10; s. 5519 - 5530
Hlavní autoři: Li, Jiayong, Xu, Zhao, Zhao, Jian, Zhang, Chaorui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Active control
Algorithms
Ascent
Control algorithms
Control theory
Convergence
Decentralized control
Distributed algorithm
Distributed algorithms
Distribution management
distribution networks (DNs)
dual-ascent method
Electric potential
Electronic equipment tests
Inverters
Mathematical model
Networks
online voltage control
Optimization
photovoltaic (PV) system
Photovoltaic cells
Reactive power
Robustness (mathematics)
Stability
Voltage
Voltage control
ISSN:1551-3203, 1941-0050
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Shrnutí:In this paper, we propose a distributed online voltage control algorithm for distribution networks with multiple photovoltaic (PV) systems based on dual-ascent method. Conventional distributed algorithms implement voltage control only when the algorithms converge. However, our proposed algorithm is able to carry out voltage control immediately. In particular, we derive a closed-form solution for PV controllers to locally update the active and reactive power set points aiming at minimizing the total loss and maintaining bus voltages within the acceptable ranges. The optimality is guaranteed and the convergence is established analytically. Moreover, our proposed algorithm only requires the information exchange between neighboring PV systems, thus reducing communication complexity. Finally, numerical tests on IEEE 37-bus distribution system verify the effectiveness and robustness of our proposed algorithm.
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ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2019.2903888