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The integration of high-penetration residential photovoltaics (PVs) into low-voltage distribution networks (LVDNs) presents significant challenges to conventional voltage regulation devices, such as on-load tap changer (OLTC) and capacitor banks (CBs), in mitigating voltage violations at terminal buses. Given the great regulation potential of demand-side flexible resources, including battery energy storages (BESs), thermal energy storages (TESs), and thermostatically-controlled loads (TCLs), this paper proposes a two-stage optimization strategy to coordinate diverse VRRs in LVDNs. In the first stage, the second-order cone programming (SOCP) is employed to obtain optimal operation schedule of OLTC and CBs. In the second stage, a distributed algorithm is designed for the multi-energy storage (MES) cluster consist of BESs, TESs, and TCLs to participate in auxiliary voltage regulation, where Adam algorithm is utilized to accelerate convergence speed and enhance robustness. Finally, a modified Danish 11-bus system is built to validate the control performance of proposed method. The results demonstrate its effectiveness in voltage regulation under scenarios with PV generation and load demand uncertainties.

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Adam-Based Distributed Algorithm of Multi-energy Storage Cluster for Auxiliary Voltage Regulation

  • 会议论文

  • 发表日期：

    2026年

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  • Hui Xiong,
  • Linfang Yan,
  • Xia Chen,
  • Haorui Zhou,
  • Yin Chen,
  • Jianyu Zhou,
  • Hui Yang

摘要

The integration of high-penetration residential photovoltaics (PVs) into low-voltage distribution networks (LVDNs) presents significant challenges to conventional voltage regulation devices, such as on-load tap changer (OLTC) and capacitor banks (CBs), in mitigating voltage violations at terminal buses. Given the great regulation potential of demand-side flexible resources, including battery energy storages (BESs), thermal energy storages (TESs), and thermostatically-controlled loads (TCLs), this paper proposes a two-stage optimization strategy to coordinate diverse VRRs in LVDNs. In the first stage, the second-order cone programming (SOCP) is employed to obtain optimal operation schedule of OLTC and CBs. In the second stage, a distributed algorithm is designed for the multi-energy storage (MES) cluster consist of BESs, TESs, and TCLs to participate in auxiliary voltage regulation, where Adam algorithm is utilized to accelerate convergence speed and enhance robustness. Finally, a modified Danish 11-bus system is built to validate the control performance of proposed method. The results demonstrate its effectiveness in voltage regulation under scenarios with PV generation and load demand uncertainties.