Layered and Distributed Voltage Optimization for High and Medium-Voltage Distribution Networks with High Penetration of PV

A new and efficient distributed algorithm based on multi-parameter quadratic programming (MPQP) is proposed in this paper to realize distributed voltage optimization of coupled HVDNs and MVDNs. With the boundary variables between HVDNs and MVDNs as programming parameters, the proposed method transforms the solution of distributed voltage optimization model into the calculation and searches for the solution set for the parameters' corresponding quadratic functions, thus realizing efficient and distributed global iterative computation. Finally, the results show that our method can obtain a global optimal solution deviating from that provided by global centralized voltage regulation method by only 0.16%, and outperform the mainstream distributed algorithms in terms of the number of iterations and computation duration.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922352
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Layered and Distributed Voltage Optimization for High and Medium-Voltage Distribution Networks with High Penetration of PV

Liqiong Guo, Mingtong Yang
Power Systems and Renewable Energy
article

Layered and Distributed Voltage Optimization for High and Medium-Voltage Distribution Networks with High Penetration of PV

Liqiong Guo, Mingtong Yang
article en

Abstract

A new and efficient distributed algorithm based on multi-parameter quadratic programming (MPQP) is proposed in this paper to realize distributed voltage optimization of coupled HVDNs and MVDNs. With the boundary variables between HVDNs and MVDNs as programming parameters, the proposed method transforms the solution of distributed voltage optimization model into the calculation and searches for the solution set for the parameters' corresponding quadratic functions, thus realizing efficient and distributed global iterative computation. Finally, the results show that our method can obtain a global optimal solution deviating from that provided by global centralized voltage regulation method by only 0.16%, and outperform the mainstream distributed algorithms in terms of the number of iterations and computation duration.

Tianjin University (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
Power Systems and Renewable Energy
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