Dual-Layer Optimized Configuration of Photovoltaic Storage Charging Station Based on Orderly Charging of Electric Vehicles

HUANG Zhantao; ZHOU Xia; ZHANG Tengfei

doi:10.16516/j.ceec.2025-221

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Dual-Layer Optimized Configuration of Photovoltaic Storage Charging Station Based on Orderly Charging of Electric Vehicles

更新时间：2026-10-14

- Dual-Layer Optimized Configuration of Photovoltaic Storage Charging Station Based on Orderly Charging of Electric Vehicles
- Southern Energy Construction Vol. 13, Issue 4, Pages: 154-167(2026)
- 作者机构：
  
  南京邮电大学自动化学院、人工智能学院,江苏,南京,210023
- 作者简介：
- 基金信息：
- DOI：10.16516/j.ceec.2025-221
  CLC： TM715;TM73
- Published：2026
- 稿件说明：
移动端阅览
黄占涛, 周霞, 张腾飞. 基于电动汽车有序充电的光储充电站双层优化配置[J]. 南方能源建设, 2026, 13(4): 154-167.

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黄占涛, 周霞, 张腾飞. 基于电动汽车有序充电的光储充电站双层优化配置[J]. 南方能源建设, 2026, 13(4): 154-167. DOI： 10.16516/j.ceec.2025-221.

. DOI： 10.16516/j.ceec.2025-221.

摘要

目的

“双碳”背景下，高比例光伏与电动汽车的大量接入会对电网造成冲击，构建清洁、高效、稳定的光储充电站是实现绿色低碳发展的必然选择。针对光储充电站的配置优化问题，提出了一种基于电动汽车有序充电的光储充电站双层优化配置方法。

方法

首先，基于生成式对抗网络和改进K-means++算法构建典型光伏出力场景库，并结合LSTM-Transformer混合模型对电动汽车充电负荷进行预测，通过分时电价机制引导有序充电，生成优化充电负荷曲线。其次，建立了光储充电站规划-运行双层优化模型，外层以全生命周期成本最小化为目标进行容量配置，内层基于运行经济性与可靠性目标制定运营策略，通过双向参数传递实现规划与运行的动态耦合。最后，采用改进的灰狼优化算法对模型进行求解，获得最优的光储充电站配置方案。

结果

算例分析表明，提出的光储充电站配置策略实现了经济效益最优，有效改善了电网电压质量和稳定性，提高配电网运行水平。

结论

研究结果可为提高配电网运行水平提供参考。

Abstract

Objective

In the context of the "dual carbon" goals

a high proportion of photovoltaic systems and electric vehicles can significantly impact the power grid. Building clean

efficient

and stable photovoltaic storage charging stations is essential for achieving green and low-carbon development. To address the optimization of photovoltaic storage charging station configurations

a two-layer optimization method based on orderly EV charging has been proposed.

Method

his method involves constructing a typical photovoltaic output scenario library using generative adversarial networks and an improved K-means++ algorithm

and predicting EV charging loads with a LSTM-Transformer hybrid model. Time-of-use pricing mechanisms are used to guide orderly charging to optimize the charging load curve. Secondly

a dual-layer optimization model for the planning and operation of photovoltaic storage charging stations is established. The outer layer aims to minimize the total lifecycle cost through capacity configuration

while the inner layer formulates operational strategies based on economic efficiency and reliability. This dynamic coupling between planning and operation is achieved through bidirectional parameter exchange. Finally

an improved grey wolf optimization algorithm is used to solve the model

resulting in the optimal configuration of photovoltaic storage charging stations.

Result

Case studies show that the proposed configuration strategy achieves optimal economic benefits

effectively improves the voltage quality and stability of the power grid

and enhances the operational level of the distribution network.

Conclusion

The research results can provide reference for improving the operation level of the distribution network.

关键词

Keywords

references

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