能源互联网中微能源系统储能容量规划及投资效益分析

doi:10.19595/j.cnki.1000-6753.tces.190707

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (29454 KB) HTML
输出: BibTeX | EndNote (RIS)

摘要该文以实现多类型能源的协同优化、微能源系统的运行效益最优为出发点,在包含光伏发电、储能系统、蓄热式电锅炉、冰蓄冷空调、电动汽车的微能源系统的简化模型基础上,对微能源系统中储能系统容量规划和投资效益展开研究。首先为保证微能源系统的各类型能源的生产/消费需求,假设分别为其配置虚拟储能,基于储能系统成本、多种类型能源的生产/消费需求约束及储能系统约束,同时考虑峰谷分时电价、碳减排政策,进行多目标优化求解实现储能容量配置最优,并从投资人角度出发,考虑银行贷款、内部收益率等投资回收相关参数,对储能系统进行投资回收分析。最后结合某微能源系统示范工程,开展新型混合能源系统配置方案的应用验证,旨在探索微能源系统中储能系统的优化配置方案。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	李建林
	牛萌
	周喜超
	修晓青
	周京华

关键词 ：能源互联网, 微能源系统, 储能系统, 容量规划, 投资效益

Abstract：In order to achieve synergistic optimization of multiple types of energy and optimal operation efficiency of micro-energy systems, this paper established a simplified model of micro-energy system including photovoltaic power generation, energy storage system, regenerative electric boiler, ice storage air conditioner and electric vehicle. The configuration and investment benefit of the battery energy storage system in the micro-energy system were analyzed. Firstly, this paper assumed that each type of energy in a micro-energy system is configured with virtual energy storage to ensure its production/consumption needs. Then, based on the cost of energy storage system, the production/consumption demand constraints of various types of energy and the constraints of the energy storage system itself, a multi-objective optimization solution is performed to achieve optimal storage capacity allocation by taking into account the peak-to-valley time-of-use electricity price and carbon emission reduction policy. From the perspective of investors, consider the relevant parameters of investment recovery such as bank loans and internal rate of return, this paper analyzes the investment recovery of energy storage systems. Finally, combined with a micro-energy system demonstration project, the application verification of the new hybrid energy system configuration scheme was carried out to explore the optimal configuration scheme of the energy storage system in the micro-energy system.

Key words： Energy internet micro-energy system energy storage system capacity planning investment benefits

收稿日期: 2019-06-13 出版日期: 2020-02-28

PACS:

TM92

基金资助:国家自然科学基金项目(51777197),国网公司科技项目“面向新能源经济运行的储能系统建模仿真与优化配置技术研究”(5278991900ML)和北方工业大学学生科技活动项目资助

通讯作者: 李建林男,1976年生,博士,教授级高工,主要从事大规模储能技术研究。E-mail: dkylij@163.com

作者简介: 牛萌女,1986年生,硕士,高级工程师,主要从事大规模储能技术在电力系统中的规划配置研究。E-mail: niumeng@epri.sgcc.com.cn

引用本文:

李建林, 牛萌, 周喜超, 修晓青, 周京华. 能源互联网中微能源系统储能容量规划及投资效益分析[J]. 电工技术学报, 2020, 35(4): 874-884. Li Jianlin, Niu Meng, Zhou Xichao, Xiu Xiaoqing, Zhou Jinghua. Energy Storage Capacity Planning and Investment Benefit Analysis of Micro-Energy System in Energy Interconnection. Transactions of China Electrotechnical Society, 2020, 35(4): 874-884.

链接本文:

https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.190707 https://dgjsxb.ces-transaction.com/CN/Y2020/V35/I4/874

[1] 李建林, 马会萌, 惠东. 储能技术融合分布式可再生能源的现状及发展趋势[J]. 电工技术学报, 2016, 31(14): 1-10, 20.
Li Jianlin, Ma Huimeng, Hui Dong.Present deve- lopment condition and trends of energy storage technology in the integration of distributed renewable energy[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 1-10, 20.
[2] 邵成成, 王锡凡, 王秀丽, 等. 多能源系统分析规划初探[J]. 中国电机工程学报, 2016, 36(14): 3817-3829.
Shao Chengcheng, Wang Xifan, Wang Xiuli, et al.Probe into analysis and planning of multi-energy systems[J]. Proceedings of the CSEE, 2016, 36(14): 3817-3829.
[3] Guo Binqi, Niu Meng, Lai Xiaokang, et al.Appli- cation research on large-scale battery energy storage system under global energy interconnection frame- work[J]. Global Energy Interconnection, 2018, 1(1): 79-86.
[4] 陈柏翰, 冯伟, 孙凯, 等. 冷热电联供系统多元储能及孤岛运行优化调度方法[J]. 电工技术学报, 2019, 34(15): 3231-3243.
Chen Bohan, Feng Wei, Sun Kai, et al.Multi-energy storage system and islanded optimal dispatch method of CCHP[J]. Transactions of China Electrotechnical Society, 2019, 34(15): 3231-3243.
[5] 李建林, 郭斌琪, 牛萌, 等. 风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196.
Li Jianlin, Guo Binqi, Niu Meng, et al.Optimal configuration strategy of energy storage capacity in wind/PV/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[6] 王英瑞, 曾博, 郭经, 等. 电-热-气综合能源系统多能流计算方法[J]. 电网技术, 2016, 40(10): 2942-2951.
Wang Yingrui, Zeng Bo, Guo Jing, et al.Multi- energy flow calculation method for integrated energy system containing electricity, heat and gas[J]. Power System Technology, 2016, 40(10): 2942-2951.
[7] 刘方泽, 牟龙华, 张涛, 等. 微能源网多能源耦合枢纽的模型搭建与优化[J]. 电力系统自动化, 2018, 42(14): 91-98.
Liu Fangze, Mu Longhua, Zhang Tao, et al.Modelling and optimization of multi-energy coupling hub for micro-energy network[J]. Automation of Electric Systems, 2018, 42(14): 91-98.
[8] 张勇军, 林晓明, 许志恒, 等. 基于弱鲁棒优化的微能源网调度方法[J]. 电力系统自动化, 2018, 42(14): 75-82.
Zhang Yongjun, Lin Xiaoming, Xu Zhiheng, et al.Dispatching model of micro energy grid based on light robust optimization network[J]. Automation of Electric Systems, 2018, 42(14): 75-82.
[9] 曾鸣, 武赓, 李冉, 等. 能源互联网中综合需求侧响应的关键问题及展望[J]. 电网技术, 2016, 40(11): 3391-3398.
Zeng Ming, Wu Geng, Li Ran, et al.Key problems and prospects of integrated demand response in energy internet[J]. Power System Technology, 2016, 40(11): 3391-3398.
[10] 马丽, 刘念, 张建华, 等. 基于主从博弈策略的社区能源互联网分布式能量管理[J]. 电网技术, 2016, 40(12): 3655-3662.
Ma Li, Liu Nian, Zhang Jianhua, et al.Distributed energy management of community energy internet based on leader-followers game[J]. Power System Technology, 2016, 40(12): 3655-3662.
[11] 牛萌, 靳文涛, 艾小猛, 等. 大规模储能减小弃风的规划配置研究[J]. 电器与能效管理技术, 2018(14): 69-78.
Niu Meng, Jin Wentao, Ai Xiaomeng, et al.Research on planning and configuration of energy storage system for improving wind power outgoing capacity[J]. Electrical & Energy Management Technology, 2018(14): 69-78.
[12] 崔明勇, 王楚通, 王玉翠, 等. 独立模式下微网多能存储系统优化配置[J]. 电力系统自动化, 2018, 42(4): 30-38, 54.
Cui Mingyong, Wang Chutong, Wang Yucui, et al.Optimal configuration of multi-energy storage system in standalone microgrid[J]. Automation of Electric Power Systems, 2018,42(4): 30-38, 54.
[13] 雷鸣宇, 杨子龙, 王一波, 等. 光/储混合系统中的储能控制技术研究[J]. 电工技术学报, 2016, 31(23): 86-92.
Lei Mingyu, Yang Zilong, Wang Yibo, et al.Study on control technology of energy storage station in photovoltaic/storage system[J]. Transactions of China Electrotechnical Society, 2016, 31(23): 86-92.
[14] 林凯骏, 吴俊勇, 郝亮亮, 等. 基于非合作博弈的冷热电联供微能源网运行策略优化[J]. 电力系统自动化, 2018, 42(6): 25-32.
Lin Kaijun, Wu Junyong, Hao Liangliang, et al.Optimization of operation strategy for micro-energy grid with CCHP systems based on non-cooperative game[J]. Automation of Electric Power Systems, 2018, 42(6): 25-32.
[15] 王泽森, 唐艳梅, 门向阳, 等. 独立海岛终端一体化系统下电动汽车投放数量规划研究[J]. 中国电机工程学报, 2019, 39(7): 2005-2016.
Wang Zesen, Tang Yanmei, Men Xiangyang, et al.Research on the quantity planning of electric vehicle on the isolated island terminal integration system[J]. Proceedings of the CSEE, 2019, 39(7): 2005-2016.
[16] 李建林, 牛萌, 张博越, 等. 电池储能系统机电暂态仿真模型[J]. 电工技术学报, 2018, 33(8): 1911-1918.
Li Jianlin, Niu Meng, Zhang Boyue, et al.Simulation model of battery energy storage system in electro- mechanical transient[J]. Transactions of China Electrotechnical Society, 2018, 33(8): 1911-1918.
[17] 修晓青, 唐巍, 李建林, 等. 计及电池健康状态的源储荷协同配置方法[J]. 高电压技术, 2017, 43(9): 3118-3126.
Xiu Xiaoqing, Tang Wei, Li Jianlin, et al.Coll- aborative configuration of distributed generation, energy storage and load in microgrid considering state of health[J]. High Voltage Engineering, 2017, 43(9): 3118-3126.
[18] 张金国, 焦东升, 王小君, 等. 基于梯级利用电池的储能系统经济运行分析[J]. 电网技术, 2014, 38(9): 2551-2555.
Zhang Jinguo, Jiao Dongsheng, Wang Xiaojun, et al.Analysis on economic operation of energy storage based on second-use batteries[J]. Power System Technology, 2014, 38(9): 2551-2555.
[19] 韩晓娟, 张婳, 修晓青, 等. 配置梯次电池储能系统的快速充电站经济性评估[J]. 储能科学与技术, 2016, 5(4): 514-521.
Han Xiaojuan, Zhang Hua, Xiu Xiaoqing, et al.Economic evaluation of fast charging electric vehicle station with second-use batteries energy storage system[J]. Energy Storage Science and Technology, 2016, 5(4): 514-521.