含风-光-电氢混合储能的多微电网系统容量优化配置方法

发电技术

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含风-光-电氢混合储能的多微电网系统容量优化配置方法

刘忠¹，黄彦铭¹，朱光明^2,3，邹淑云¹

1.长沙理工大学能源与动力工程学院，湖南省长沙市 410114；2.国网湖南省电力有限公司电力科学研究院，湖南省长沙市 410007；3.高效清洁发电技术湖南省重点实验室，湖南省长沙市 410007

基金资助:
国家自然科学基金项目(52079011)

Optimal Capacity Configuration Method for Multi-Microgrid System Utilizing Wind-Solar-Electric-Hydrogen Hybrid Energy Storage

LIU Zhong¹, HUANF Yanming¹, ZHU Guangming^2,3, ZOU Shuyun¹

1.School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China; 2.Electric Power Research Institute, State Grid Hunan Electric Power Company Limited, Changsha 410007, Hunan Province, China; 3.Hunan province key laboratory of efficient & clean power generation technology, Changsha 410007, Hunan Province, China

Supported by:
National Natural Science Foundation of China (52079011)

摘要/Abstract

摘要： 【目的】为研究高比例可再生能源接入所带来的电力系统功率平衡复杂性增加、潮流分布不确定性提升和电网的安全稳定运行的问题，提出了一种包含风电、光伏、蓄电池和氢储能的多微电网系统容量优化配置方法。【方法】在多微电网配电网框架下，建立双层优化模型。该模型外层目标为最低全生命周期成本，内层目标为最小化配电网的峰谷差、网损和电压偏移。基于IEEE 69节点系统，使用白鲨优化(White Shark Optimizer，WSO)算法和Cplex求解器对模型进行求解，获取最优容量配置方案和规划运行结果。【结果】当系统各部件的容量配置达到最优时，发电系统与电氢混合储能系统的装机比例为1∶0.27。风-光-电氢混合储能系统在经济性和稳定性上优于风-光-单一储能系统。【结论】所提方法在优化系统联合最优成本的同时，还能够有效降低负荷峰谷差、配电网网损并提高电能质量。

关键词: 新能源消纳, 多能互补, 容量配置, 功率分配, 双层优化模型, 多微电网, 配电网, 电氢混合储能

Abstract: [Objectives]　In order to study the problems of increasing complexity of power balance, and increasing uncertainty of power flow distribution and safe and stable operation of power grid caused by high proportion of renewable energy access, a capacity optimization configuration method of multi-microgrid system including wind power, photovoltaic, battery and hydrogen energy storage was proposed.[Methods]　A bi-level optimization model was established under the framework of multi-microgrid distribution network. The outer objective of the model was the minimum life cycle cost, and the inner objective was to minimize the peak-valley difference, network loss and voltage offset of the distribution network. Based on the IEEE 69-bus system, the white shark optimizer (WSO) algorithm and Cplex solver were used to solve the model, and the optimal capacity configuration scheme and planning operation results were obtained.[Results]　When the capacity configuration of each component of the system is optimal, the installed ratio of the power generation system to the hybrid energy storage system is 1:0.27. The wind-solar-electro-hydrogen hybrid energy storage system is superior to the wind-solar-single energy storage system in terms of economy and stability.[Conclusions]　The proposed method can not only optimize the joint optimal cost of the system, but also effectively reduce the load peak-valley difference, distribution network loss and improve power quality.

Key words: new energy consumption, multi-energy complementary, capacity configuration, power distribution, bi-level optimization model, multi-microgrid, distribution network, electric-hydrogen hybrid energy storage

刘忠, 黄彦铭, 朱光明, 邹淑云. 含风-光-电氢混合储能的多微电网系统容量优化配置方法[J]. 发电技术.

LIU Zhong, HUANF Yanming, ZHU Guangming, ZOU Shuyun. Optimal Capacity Configuration Method for Multi-Microgrid System Utilizing Wind-Solar-Electric-Hydrogen Hybrid Energy Storage[J]. Power Generation Technology.

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