Research on User-Side Energy Storage Adaptability Based on Virtual Power Plant and Load Aggregator

doi:10.16628/j.cnki.2095-8188.2020.10.004

Abstract

Abstract:

Based on the economic and technical characteristics of user-side energy storage,this paper considers the internal and external revenue increments of user-side energy storage,and proposes user-side energy storage fitness value indicators,which are used as optimization goals.To verify the generality of the value index,the load aggregator and the new technology of the virtual power plant are selected as the research objects for detailed characterization.Taking a real-time electricity price energy market as the background,a certain industrial user was selected for simulation.The results show that the fitness index can quantify the adaptive capacity of the user-side energy storage; revealing that the user-side energy storage only depends on the peak and valley reduction of basic electricity and electricity costs.It is basically not profitable,but there is a wind power supplier that is a complementary object of user-side energy storage demand in the virtual power plant,which improves the adaptability of user-side energy storage.

Key words: user-side energy storage, virtual power plant, load aggregator, wind energy dissipation, adaptability

CLC Number:

TM731

PENG Xueyin, HUANG Bowen, PAN Xuan, LIU Louzhi, YIN Xufeng, ZHOU Renjun. Research on User-Side Energy Storage Adaptability Based on Virtual Power Plant and Load Aggregator[J]. LOW VOLTAGE APPARATUS, 2020, 0(10): 21-26.

Figures/Tables 11

References 16

[1]	鞠平, 周孝信, 陈维江, 等. “智能电网+”研究综述[J]. 电力自动化设备, 2018,38(5):2-11.
[2]	李建林, 孟高军, 葛乐, 等. 全球能源互联网中的储能技术及应用[J].电器与能效管理技术, 2020(1):1-8.
[3]	郑重, 袁昕. 电力储能技术应用与展望[J]. 陕西电力, 2014,42(7):4-8,30.
[4]	陈薇冰, 吴宁, 肖静, 等. 用户侧储能系统技术方案及经济性评估[J]. 广西电力, 2019,42(3):1-5,10.
[5]	卫志农, 张思德, 孙国强, 等. 计及电转气的电-气互联综合能源系统削峰填谷研究[J]. 中国电机工程学报, 2017,37(16):4601-4609,4885.
[6]	颜志敏, 王承民, 连鸿波, 等. 计及缺电成本的用户侧蓄电池储能系统容量规划[J]. 电力系统自动化, 2012,36(11):50-54.
[7]	王育飞, 王成龙, 薛花, 等. 计及源-储-荷功率特性的飞轮储能系统容量配置方法[J]. 电力自动化设备, 2020,40(1):119-124,132.
[8]	李建林, 王剑波, 袁晓冬, 等. 储能产业政策盘点分析[J].电器与能效管理技术, 2019(20):1-9.
[9]	宋航, 刘友波, 刘俊勇, 等. 考虑用户侧分布式储能交互的售电公司智能化动态定价[J/OL].中国电机工程学报:1-15[2020-07-13].
[10]	陈建秀, 黄诚主编. 生物进化[M]. 南京: 南京大学出版社, 1997.
[11]	单栋梁, 刘向立, 徐利凯, 等. 用户侧光储充一体化智能微电网系统应用研究[J].电器与能效管理技术, 2020(2):41-46.
[12]	GILBERT P, CATARINO F, DUARTE C. The development of compassionate engagement and action scales for self and others[J] Journal of Compassionate Health Care, 2017,DOI: 10.1186/s40639-017-0033-3. doi: 10.1186/s40639-014-0004-x pmid: 27499883
[13]	李建林, 马会萌, 袁晓冬, 等. 规模化分布式储能的关键应用技术研究综述[J]. 电网技术, 2017,41(10):3365-3375.
[14]	薛金花, 叶季蕾, 许庆强, 等. 客户侧储能技术应用现状及经济可行性分析研究[J].电器与能效管理技术, 2019(14):34-39,45.
[15]	刘军会, 王江波, 赵文杰, 等. 广泛负荷聚集商运营机制和综合效益分析[J].现代经济信息, 2018(15):355.
[16]	王宣元, 刘敦楠, 刘蓁, 等. 泛在电力物联网下虚拟电厂运营机制及关键技术[J]. 电网技术, 2019,43(9):3175-3183.

参数	数值	边界条件
S_N/MWh	30	30≤S_t≤270
P_N/Wh	5	-5≤P_s_,_t≤5
γ_N	0.7	—
γ_W	0.3	—
k_s/MWh	600	—

技术背景	内部收益增量/元	外部收益增量/元	适应值
负荷聚集商	78	399	174
虚拟电厂	105	32 512	9 827

技术背景	未安装储能			安装储能
	服务商	风电商	用户	服务商	风电商	用户
	负荷聚集商	20 776	—	175 841	21 175	—	175 763
虚拟电厂	13 590	252 648	175 841	14 220	284 530	175 736