风光储系统储能容量优化配置策略

doi:10.19595/j.cnki.1000-6753.tces.171113

Abstract
Figure/Table
References (0)
Related Citation (10)

Download: PDF (17134 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract

The optimal configuration of Energy storage is an important issue in wind/PV/storage hybrid system designing. This paper proposes a strategy of optimizing energy storage capacity in wind/PV/storage hybrid system. Firstly, the double-layer decision model of the storage capacity configuration is established. The decision variables of the outer decision model are the power and capacity of the energy storage, while the target is the minimum investment of the storage and the contact line penalty. The decision variable of the inner decision model is the charge and discharge power of the energy storage during the operation, while the target is to minimize power fluctuation on system tie line. Then a typical system is analyzed as a simulation example, including wind power, photovoltaic, battery energy storage and load. According to the typical daily data in spring, summer and winter, the simulation results verify the energy storage configuration strategy proposed.

Key words： Wind/PV/storage energy storage configuration dynamic programming double layer decision

Received: 28 July 2017 Published: 28 March 2018

PACS:

TM715

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Li Jianlin
	Guo Binqi
	Niu Meng
	Xiu Xiaoqing
	Tian Liting

Cite this article:

Li Jianlin,Guo Binqi,Niu Meng等. Optimal Configuration Strategy of Energy Storage Capacity in Wind/PV/Storage Hybrid System[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171113 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I6/1189

[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 development 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] 熊雄, 杨仁刚, 叶林, 等. 电力需求侧大规模储能系统经济性评估[J]. 电工技术学报, 2013, 28(9): 224-230.
Xiong Xiong, Yang Rengang, Ye Lin, et al.Economic evaluation of large-scale energy storage allocation in power demand side[J]. Transactions of China Electrotechnical Society, 2013, 28(9): 224-230.
[3] 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.
4 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.
[4] Asao T, Takahashi R, Murata T, et al.Evaluation method of power rating and energy capacity of superconducting magnetic energy storage system for output smoothing control of wind farm[C]//18th International Conference on Electrical Machines, IEEE, Vilamoura, Portugal, 2008: 1-6.
[5] Liang L, Li J, Dong H.An optimal energy storage capacity calculation method for 100MW wind farm[C]//International Conference on Power System Technology, Hangzhou, 2010: 1-4.
[6] 周念成, 闫立伟, 王强钢. 光伏发电在微电网中接入及动态特性研究[J]. 电力系统保护与控制, 2010, 38(14): 119-127.
Zhou Niancheng, Yan Liwei, Wang Qianggang.Research on dynamic characteristic and integration of photovoltaic generation in microgrids[J]. Power System Protection and Control, 2010, 38(14): 119-127.
[7] 王成山, 于波, 肖峻, 等. 平滑可再生能源发电系统输出波动的储能系统容量优化方法[J]. 中国电机工程学报, 2012, 32(16): 1-8.
Wang Chengshan, Yu bo, Xiao Jun, et al. Sizing of energy storage systems for output smoothing of renewable energy systems[J]. Proceedings of the CSEE, 2012, 32(16): 1-8.
[8] 曾旭, 席林. 微电网储能系统优化配置研究[J]. 电器与能效管理技术, 2016(14): 52-55, 91.
Zeng Xu, Xi Lin.Research on capacity configuration of energy storage system for PCC of micro-grid power output smoothness[J]. Low Voltage Apparatus, 2016(14): 52-55, 91.
[9] Ogimi K, Yoza A, Yona A, et al.A study on optimum capacity of battery energy storage system for wind farm operation with wind power forecast data[C]// IEEE International Conference on Harmonics and Quality of Power, Hong Kong, 2012: 118-123.
[10] Kargarian A, Hug G.Optimal sizing of energy storage systems: a combination of hourly and intra- hour time perspectives[J]. IET Generation Trans- mission & Distribution, 2016, 10(3): 594-600.
[11] 许健, 刘念, 于雷, 等. 计及重要负荷的工业光伏微电网储能优化配置[J]. 电力系统保护与控制, 2016, 44(9): 29-37.
Xu Jian, Liu Nian, Yu Lei, et al.Optimal allocation of energy storage system of PV microgrid for industries considering important load[J]. Power System Protection and Control, 2016, 44(9): 29-37.
[12] 茆美琴, 金鹏, 张榴晨, 等. 工业用光伏微网运行策略优化与经济性分析[J]. 电工技术学报, 2014, 29(2): 35-45.
Mao Meiqin, Jin Peng, Zhang Liuchen, et al.Optimization of operation strategies and economic analysis of PV microgrids for industries[J]. Trans- actions of China Electrotechnical Society, 2014, 29(2): 35-45.
[13] 谢石骁, 杨莉, 李丽娜. 基于机会约束规划的混合储能优化配置方法[J]. 电网技术, 2012, 36(5): 79-84.
Xie Shixiao, Yang Li, Li Lina.A chance constrained programming based optimal configuration method of hybrid energy storage system[J]. Power System Technology, 2012, 36(5): 79-84.
[14] 曹超, 马玉鑫, 常悦, 等. 基于经验模态分解和模糊机会约束的混合储能容量配置方法[J]. 分布式能源, 2016, 1(3): 43-48.
Cao Chao, Ma Yuxin, Chang Yue, et al.Capacity allocation method of hybrid decomposition and fuzzy energy storage system based on empirical mode chance constrained programming[J]. Distributed Energy, 2016, 1(3): 43-48.
[15] 谭兴国, 王辉, 张黎, 等. 微电网复合储能多目标优化配置方法及评价指标[J]. 电力系统自动化, 2014, 38(8): 7-14.
Tan Xingguo, Wang Hui, Zhang Li, et al.Multi- objective optimization of hybrid energy storage and assessment indices in microgrid[J]. Automation of Electric Power Systems, 2014, 38(8): 7-14.
[16] 田培根, 肖曦, 丁若星, 等. 自治型微电网群多元复合储能系统容量配置方法[J]. 电力系统自动化, 2013, 37(1): 168-173.
Tian Peigen, Xiao Xi, Ding Ruoxing, et al.A capacity configuring method of composite energy storage system in autonomous multi-microgrid[J]. Automation of Electric Power Systems, 2013, 37(1): 168-173.
[17] 郑乐, 胡伟, 陆秋瑜, 等. 储能系统用于提高风电接入的规划和运行综合优化模型[J]. 中国电机工程学报, 2014, 34(16): 2533-2543.
Zheng Le, Hu Wei, Lu Qiuyu, et al.Research on planning and operation model for energy storage system to optimize wind power integration[J]. Proceedings of the CSEE, 2014, 34(16): 2533-2543.