Capacity Optimal Configuration of Hybrid Energy Storage in Hybrid AC/DC Micro-grid Based on Ensemble Empirical Mode Decomposition

GUO Lingjuan; WEI Bin; HAN Xiaoqing; LI Wen

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Capacity Optimal Configuration of Hybrid Energy Storage in Hybrid AC/DC Micro-grid Based on Ensemble Empirical Mode Decomposition

更新时间：2025-12-08

- Capacity Optimal Configuration of Hybrid Energy Storage in Hybrid AC/DC Micro-grid Based on Ensemble Empirical Mode Decomposition
- Vol. 46, Issue 2, Pages: 527-537(2020)
- 作者机构：
  
  电力系统运行与控制山西省重点实验室(太原理工大学)
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：29 February 2020，
  
  Published：2020
- 稿件说明：
移动端阅览
GUO Lingjuan, WEI Bin, HAN Xiaoqing, et al. Capacity Optimal Configuration of Hybrid Energy Storage in Hybrid AC/DC Micro-grid Based on Ensemble Empirical Mode Decomposition[J]. 2020, 46(2): 527-537.
DOI：

GUO Lingjuan, WEI Bin, HAN Xiaoqing, et al. Capacity Optimal Configuration of Hybrid Energy Storage in Hybrid AC/DC Micro-grid Based on Ensemble Empirical Mode Decomposition[J]. 2020, 46(2): 527-537. DOI：

摘要

针对交直流混合微电网并网联络线功率的波动性带来的新能源消纳瓶颈问题和交、直流子网之间交互功率的优化问题

提出了一种混合储能系统容量优化配置方法。首先

考虑系统净负荷功率和分时电价

确定联络线协议功率和混合储能系统需平抑的总功率;然后

利用集合经验模态分解对混合储能系统总功率进行分析

根据不同滤波阶数下锂电池和超级电容器的充放电功率指令

采用自适应惯性权重的粒子群算法对以锂电池和超级电容器的额定功率和额定容量为优化变量的混合储能容量优化配置模型进行求解;最后

对不同滤波阶数所对应的系统年综合成本进行排序

确定系统年综合成本最小的滤波阶数和对应的储能配置方案。基于某交直流混合微电网进行了算例分析

验证了采用所提方法配置混合储能系统可有效平抑交直流混合微电网并网联络线功率的波动

降低交、直流子网间的换流损耗

提高交直流混合微电网的经济性。

Abstract

To break though consumption bottlenecks of new energy caused by the fluctuation of the connected tie-line power of the hybrid AC/DC micro-grid

and to optimize of the interaction power between the AC subnet and DC subnet

we propose an capacity optimal configuration method of hybrid energy storage system. The protocol power of the tie-line and the total power of the hybrid energy storage system are determined by net-load power and time-of-use tariff. The total power of the hybrid energy storage system is analyzed by the ensemble empirical modal decomposition. According to the charge and discharge power command of the lithium battery and the super capacitor under different filter orders

the particle swarm optimization algorithm with adaptive inertia weight is used to solve the optimal configuration model of hybrid energy storage capacity by taking the rated power and rated capacity of the lithium battery and the super-capacitor as the optimal variables. By sorting the annual cost of system with different filter orders

the final filter order and the optimal configuration scheme of the hybrid energy storage system are determined. A case study based on a hybrid AC/DC micro-grid is used for verification and analysis. The results have verified that the hybrid energy storage system configured by the proposed method can effectively suppress the fluctuation of the connected tie-line power of the hybrid AC/DC micro-grid

reduce the commutation loss between the AC and DC subnets

and improve the economics of the hybrid AC/DC micro-grid.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Application of Hybrid Energy Storage System Based on SMES and BESS in Smoothing the Power Fluctuations of Wind Farms

Strategy for Smoothing Photovoltaic Power Fluctuation of Hybrid Energy Storage System Using Self-adaptive Variational Mode Decomposition

Photovoltaic Power Combined Prediction Based on Ensemble Empirical Mode Decomposition and Deep Learning

Related Author

LEI Yong

LIN Xiaodong

YAN Chenyu

FAN Yanfang

YAO Bo

王振浩

王翀

成龙

Related Institution

College of Electrical Engineering and Information Technology, Sichuan University

School of Electrical Engineering, Xinjiang University

Deqing Power Supply Company,State Grid Zhejiang Power Company

Northeast Electric Power University

Jinzhou Power Supply Company, State Grid Liaoning Electric Power Co., Ltd.

AI问答

⁰