Optimal robust allocation of distributed modular energy storage system in distribution networks for voltage regulation

This paper addresses the optimal robust allocation (location and number) problem of distributed modular energy storage (DMES) in active low-voltage distribution networks (DNs) with the aim of reducing voltage deviations. In the proposed allocation problem, a novel centralized-local control framework...

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Vydané v:Applied energy Ročník 388; s. 125625
Hlavní autori: Xu, Zirong, Tang, Zhiyuan, Chen, Yongdong, Liu, Youbo, Gao, Hongjun, Xu, Xiao
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 15.06.2025
Predmet:
algorithms
China
Correlated polyhedral uncertainty set
Distributed modular energy storage
Distribution networks
electric potential difference
linear programming
Local droop control
Optimal robust allocation
uncertainty
Voltage regulation
China
Distributed modular energy storage
Correlated polyhedral uncertainty set
Local droop control
Optimal robust allocation
Distribution networks
Voltage regulation
ISSN:0306-2619
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Shrnutí:This paper addresses the optimal robust allocation (location and number) problem of distributed modular energy storage (DMES) in active low-voltage distribution networks (DNs) with the aim of reducing voltage deviations. In the proposed allocation problem, a novel centralized-local control framework (CLCF) is designed for DMES for voltage regulation, where the droop coefficients setting schedule are optimally determined. Besides, in order to address the uncertainties and correlation between active and reactive power injections, the proposed DMES allocation problems are formulated as robust optimization models under the novel correlated polyhedral uncertainty set (CPUS) to avoid over-conservatism of solutions. Moreover, to make the proposed nonlinear nonconvex allocation problem computationally trackable, it is decoupled into operation and planning (siting and sizing) optimization stages. The operation problem is relaxed into a mixed-integer second-order cone programming problem using mixed-integer reformulation, dual linear program and second-order cone program. In planning stage, a recursive algorithm is employed to determine the capacity boundaries to identify the optimal number of DMESs. Through case studies, the effectiveness and advantages of the optimal allocation methods was demonstrated in an actual rural low-voltage DN in China. •Optimal robust allocation of distributed modular energy storage systems considering droop coefficients design is investigated to reduce voltage deviations.•A centralized-local (droop) control framework for voltage regulation is employed.•A correlated polyhedral uncertainty set considering the correlation between active and reactive power injection is proposed.•An efficient optimization algorithm is developed to solve optimal allocation problem.•Optimization can efficiently mitigate voltage deviation and over-conservatism.
Bibliografia:ObjectType-Article-1
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ISSN:0306-2619
DOI:10.1016/j.apenergy.2025.125625