@article{LU2026, 
author = {Xiaomin LU and Feng CHEN and Mengyang LI and Tao ZHANG and Chunhong WANG},
title = {Coordinated Optimal Allocation and Reliability Enhancement of Grid-Forming Energy Storage for Distribution Networks With High Penetration of Renewable Energy},
year = {2026},
journal = {Distributed Energy},
volume = {11},
number = {2},
pages = {32-44},
keywords = {grid-forming energy storage, distribution network, distributed photovoltaic integration, reliability enhancement, optimal allocation},
url = {https://www.sciopen.com/article/10.16513/j.2096-2185.DE.26110010},
doi = {10.16513/j.2096-2185.DE.26110010},
abstract = {To address voltage violations, frequency fluctuations, and other challenges caused by the high-penetration integration of distributed photovoltaic (PV) generation into distribution networks under the “dual carbon” goals and energy transition, as well as the limitations of conventional grid-following energy storage systems due to their passive response characteristics, this paper proposes a grid-forming energy storage-based solution. A bi-level coordinated optimization model integrating site selection, capacity allocation, and control is developed. Scenario analysis is employed to handle PV output uncertainty, and a hybrid optimization method combining an improved particle swarm optimization algorithm with an interior-point method is adopted to solve the model, achieving a multi-objective balance between economic and technical performance. The proposed grid-forming energy storage effectively mitigates reverse power flow from PV systems and significantly improves PV curtailment reduction. Under fault conditions, it enhances the self-healing capability of the distribution network. By integrating virtual synchronous generator control with a multi-objective coordinated optimization strategy, the approach overcomes the technical bottleneck of passive response inherent in traditional energy storage, offering a systematic solution for the secure and stable operation of distribution networks with high renewable penetration.}
}