Energy Storage Science and Technology ›› 2025, Vol. 14 ›› Issue (1): 193-202.doi: 10.19799/j.cnki.2095-4239.2024.0541

• Energy Storage System and Engineering • Previous Articles     Next Articles

Optimization configuration of distribution network energy storage considering system reliability constraints

Yuan LI1,2(), Shu ZHENG1,2, Yonghua CHEN1,2, Jun WANG1,2, Zihui WANG1,3   

  1. 1.NARI Group Corporation (State Grid Electric Power Research Institute)
    2.National Key Laboratory of Power Grid Operation Risk Prevention Technology and Equipment
    3.NARI Technology Co. , Ltd. , Nanjing 211111, Jiangsu, China
  • Received:2024-06-17 Revised:2024-08-22 Online:2025-01-28 Published:2025-02-25
  • Contact: Yuan LI E-mail:ly19920829@163.com

Abstract:

To address the challenge of synchronously and rapidly quantifying the increase in system reliability during the site selection and sizing process of energy storage in distribution networks, this study proposes an optimization configuration model and solution approach that integrates system reliability constraints. First, the proposed model evaluates the impact of energy storage configuration on system reliability using the expected power shortage index as a metric. This study develops a dual-layer planning model for energy storage optimization in distribution networks, considering economic and reliability objectives. The upper layer focuses on minimizing the net investment cost of energy storage, whereas the lower layer aims to minimize load reduction under N-1 fault conditions in the distribution system. Second, based on the KKT condition and composite function differentiation rule in the process of solving optimization problems using the interior point approach, analytical expressions for the sensitivity analysis of the system reliability index to the upper limit of energy storage output and capacity are derived. These expressions were integrated into the linearized system reliability inequality constraints, facilitating parameter transfer between the upper and lower layers of the model. Finally, the effectiveness and rationality of the proposed dual-layer planning model and the derived sensitivity analysis expressions are validated using the improved IEEE RTS-79 test system.

Key words: distribution network, energy storage configuration, system reliability, sensitivity verification

CLC Number: