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May 6, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

A study on the dual-layer energy storage configuration in photovoltaic distribution networks considering voltage-loss synergy optimisation

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HZHuiqiang ZhiXGXiangyu GuoXCXiao Chang

Key Points

  • The research aims to optimise energy storage configurations in high-penetration photovoltaic distribution networks.
  • Developed a bi-level optimisation model for distributed energy storage systems (ESS)
  • Upper-level layer minimises voltage deviation and network losses
  • Lower-level planning layer focuses on capacity configuration of lithium-based ESS
  • Utilised Particle Swarm Optimisation algorithm to solve the optimisation problem
  • Reduced voltage deviation by up to 48.1%
  • Decreased network losses by up to 35.1%
  • Enhanced economic efficiency through coordinated operation and planning

Abstract

To address the challenges of voltage deviation and increased network losses arising from the high integration of photovoltaic (PV) systems in distribution networks, this paper proposes a bi-level optimisation model for configuring distributed energy storage systems (ESS) tailored to high-penetration PV distribution networks. In the proposed model, the upper-level operational layer minimises voltage deviation and network losses to improve voltage quality and reduce power losses, while the lower-level planning layer optimises overall system cost, focusing on the capacity configuration of lithium-based ESS. The bi-level optimisation problem is solved using the Particle Swarm Optimisation (PSO) algorithm to determine the optimal ESS capacity. Case studies on a modified 33-bus distribution system demonstrate that the proposed model effectively reduces voltage deviation by up to 48.1% and network losses by up to 35.1%, while significantly enhancing economic efficiency through coordinated optimisation of operation and planning. This study offers a practical solution for energy storage planning in distribution networks with high PV penetration, balancing technical performance and economic viability.

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Cite This Study

Zhi et al. (2026) studied this question.

synapsesocial.com/papers/69fa8e3804f884e66b53091chttps://doi.org/10.3389/fenrg.2026.1718662
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