并网型风光氢储微电网容量优化配置

doi:10.3969/j.issn.1008-0198.2023.04.007

湖南电力 ›› 2023, Vol. 43 ›› Issue (4): 48-55.doi: 10.3969/j.issn.1008-0198.2023.04.007

并网型风光氢储微电网容量优化配置

赵娜¹, 张莲¹, 王士彬², 李多¹, 黄伟¹

1.重庆理工大学电气与电子工程学院,重庆 400054;
2.国网重庆市电力公司市南供电分公司,重庆 401336

收稿日期:2023-06-13 修回日期:2023-06-29 出版日期:2023-08-25 发布日期:2023-09-07
通信作者: 赵娜(1998),女,硕士研究生,通信作者,研究方向为微电网容量优化。
作者简介:张莲(1967),女,教授,研究方向为电气测试与控制技术、微电网容量优化。
基金资助:
国家自然科学基金项目(21BJL098)

Capacity Optimization Configuration of Grid-Connected Wind-Solar-Hydrogen-Storage Microgrid

ZHAO Na¹, ZHANG Lian¹, WANG Shibin², LI Duo¹, HUANG Wei¹

1. School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China;
2. State Grid Chongqing Electric Power Company Shinan Power Supply Branch, Chongqing 401336, China

Received:2023-06-13 Revised:2023-06-29 Online:2023-08-25 Published:2023-09-07

摘要/Abstract

摘要： 单一类型的储能设备难以兼顾多种类型储能设备的优势,而混合储能系统能够综合不同类型储能介质的技术与经济优点。针对在并网模式下蓄电池和氢储能的混合储能的优化配置问题,以经济性和环保性为目标函数,选择各分布式电源的数量为设计变量,采用层次分析法解决多目标权重问题,采用粒子群算法求解微电网容量优化配置,通过经济性和评价指标分析对比不同储能配置方案。结果表明,混合储能的成本比单一的蓄电池和氢储能分别降低了2.46%、10.02%,自平衡率比单一蓄电池和氢储能分别提高了7.65%、23.89%,冗余度比单一蓄电池和氢储能分别降低了19.00%、38.16%。

关键词: 混合储能, 容量优化配置, 新能源发电, 多目标优化

Abstract: A single type of energy storage device is difficult to take into account the advantages of multiple types of energy storage devices, while the hybrid energy storage system can integrate the technical and economic advantages of different types of energy storage. Aiming at the optimal configuration of hybrid energy storage based on battery and hydrogen energy storage in grid-connected mode, economic and environmental protection are taken as the objective function, the analytic hierarchy process is used to solve the multi-objective weight problem, and the particle swarm optimization algorithm is used to solve the optimal configuration of microgrid capacity. Different energy storage configuration schemes are analyzed and compared by economy and evaluation index. The results show that the cost of hybrid energy storage is 2.46% and 10.02% lower than that of single battery and hydrogen energy storage. The self-balancing rate is 7.65% and 23.89% higher than that of single battery and hydrogen energy storage, and the redundancy is 19% and 38.16% lower than that of single battery and hydrogen energy storage.

Key words: hybrid energy storage, capacity optimization configuration, new energy power generation, multi-objective optimization

中图分类号:

TM715

赵娜, 张莲, 王士彬, 李多, 黄伟. 并网型风光氢储微电网容量优化配置[J]. 湖南电力, 2023, 43(4): 48-55.

ZHAO Na, ZHANG Lian, WANG Shibin, LI Duo, HUANG Wei. Capacity Optimization Configuration of Grid-Connected Wind-Solar-Hydrogen-Storage Microgrid[J]. Hunan Electric Power, 2023, 43(4): 48-55.

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并网型风光氢储微电网容量优化配置

Capacity Optimization Configuration of Grid-Connected Wind-Solar-Hydrogen-Storage Microgrid

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