Comprehensive Evaluation Model of Energy Storage Power Station With Full Life Cycle

doi:10.12096/j.2096-4528.pgt.22177

Abstract

Abstract:

The research on the evaluation model of the energy storage power station focuses on the cost model and economic benefit model of the energy storage power station. However, fewer studies consider the social benefits brought by the long-term operation of the energy storage power station. The cost model of energy storage power station was firstly established by considering the construction cost, storage battery rental cost, labor cost, operation and maintenance cost, disposal cost and other costs. Then, the benefit model of energy storage power station was established by comprehensively considering the economic and social benefits. Finally, the comprehensive benefit evaluation model based on the whole life cycle of the energy storage power station was established, and the optimal scale was determined by comparing the comprehensive benefits of the four scale energy storage power stations. This work helps to verify the effectiveness of the comprehensive evaluation model, and provide an intuitive comprehensive evaluation method for the selection of the construction scale of the energy storage power station.

Key words: energy storage power station, full life cycle, comprehensive evaluation model

CLC Number:

TK 02

Zhihua CHEN, Mengkai YOU, Wei CAI, Jingwei HU, Xing HU, Aifang ZHANG, Kejie ZHANG, Wei WANG. Comprehensive Evaluation Model of Energy Storage Power Station With Full Life Cycle[J]. Power Generation Technology, 2023, 44(6): 883-888.

Figures/Tables 3

References 18

1	王辉，梁登香，韩晓娟．储能参与泛在电力物联网辅助服务应用综述[J]．发电技术，2021，42(2)：171-179． doi:10.12096/j.2096-4528.pgt.19184
	WANG H， LIANG D X， HAN X J ． Reviews of energy storage participating in auxiliary services under ubiquitous internet of things[J]．Power Generation Technology，2021，42(2)：171-179． doi:10.12096/j.2096-4528.pgt.19184
2	郭之栋，胡存刚，芮涛，等．基于动态电价机制的用户侧分布式储能电能交易策略[J]．中国电力，2023，56(1)：28-37．
	GUO Z D， HU C G， RUI T，et al ．User side distributed energy storage trading strategy based on dynamic electricity price mechanism[J]．Electric Power，2023，56(1)：28-37．
3	杨裕生，程杰，曹高萍．规模储能装置经济效益的判据[J]．电池，2011，41(1)：19-21． doi:10.3969/j.issn.1001-1579.2011.01.007
	YANG Y S， CHENG J， CAO G P ．A gauge for direct economic benefits of energy storage devices[J]．Battery Bimonthly，2011，41(1)：19-21． doi:10.3969/j.issn.1001-1579.2011.01.007
4	刘畅，徐玉杰，胡珊，等．压缩空气储能电站技术经济性分析[J]．储能科学与技术，2015，4(2)：158-168． doi:10.3969/j.issn.2095-4239.2015.02.006
	LIU C， XU Y J， HU S，et al ．Techno-economic analysis of compressed air energy storage power plant[J]．Energy Storage Science and Technology，2015，4(2)：158-168． doi:10.3969/j.issn.2095-4239.2015.02.006
5	丁明，徐宁舟，毕锐．用于平抑可再生能源功率波动的储能电站建模及评价[J]．电力系统自动化，2011，35(2)：66-72．
	DING M， XU N Z， BI R ．Modeling of BESS for smoothing renewable energy output fluctuations[J]．Automation of Electric Power Systems，2011，35(2)：66-72．
6	杨舒婷，曹哲，时珊珊，等．考虑不同利益主体的储能电站经济效益分析[J]．电网与清洁能源，2015，31(5)：89-93． doi:10.3969/j.issn.1674-3814.2015.05.017
	YANG S T， CAO Z， SHI S S，et al. Analysis on economic benefits of storage power station considering different interest-subjects[J]．Power System and Clean Energy，2015，31(5)：89-93． doi:10.3969/j.issn.1674-3814.2015.05.017
7	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． doi:10.3969/j.issn.1000-6753.2013.09.027
	XIONG X， YANG R G， YE L，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． doi:10.3969/j.issn.1000-6753.2013.09.027
8	李培强，曾小军，李欣然，等．面向综合负荷的燃料电池等效模型及参数灵敏度分析[J]. 电气工程学报，2015，10(10)：21-29．
	LI P Q， ZENG X J， LI X R，et al ．A fuel cell equivalent model for the synthetic load and its parameters sensitivity analysis[J]．Journal of Electrical Engineering，2015，10(10)：21-29．
9	谷晴，李睿，蔡旭，等．面向百兆瓦级应用的电池储能系统拓扑与控制方法[J] ．发电技术，2022，43(5)：698-706. doi:10.12096/j.2096-4528.pgt.22140
	GU Q， LI R， CAI X，et al ．Comprehensive benefit assessment and incentive mechanism of distributed photovoltaic energy storage system[J]．Power Generation Technology，2022，43(5)：698-706. doi:10.12096/j.2096-4528.pgt.22140
10	杨海波．智能配电网储能系统的技术经济综合评价方法研究[D]．上海：上海交通大学，2017．
	YANG H B ．Study on comprehensive technical and economic evaluation method of energy storage system in smart distribution network[D]．Shanghai：Shanghai Jiao Tong University，2017．
11	郝艺博，杜锡力，李笑竹，等．考虑储能性能差异的新能源场站群共享储能交易模式[J]．发电技术，2022，43(5)：687-697. doi:10.12096/j.2096-4528.pgt.22114
	HAO Y B， DU X L， LI X Z，et al ．Shared energy storage trading mode of new energy station group considering energy storage performance difference[J]．Power Generation Technology，2022，43(5)：687-697. doi:10.12096/j.2096-4528.pgt.22114
12	南国良，张露江，郭志敏，等．电网侧储能参与调峰辅助服务市场的交易模式设计[J]．电气工程学报，2020，15(3)：88-96．
	NAN G L， ZHANG L J， GUO Z M，et al ．Design of trading mode for grid-side energy storage participating in peak-shaving assistant service market[J]．Journal of Electrical Engineering，2020，15(3)：88-96．
13	丁明，徐宁舟，林根德．电池储能电站静态功能的研究[J]．电工技术学报，2012，27(10)：242-248．
	DING M， XU N Z， LIN G D ．Static function of the battery energy storage system[J]．Transactions of China Electrotechnical Society，2012，27(10)：242-248．
14	马锐，李相俊，李文启，等．可再生能源供电区域电网中储能系统协同调度策略[J]．发电技术， 2021，42(1)：31-39． doi:10.12096/j.2096-4528.pgt.20027
	MA R， LI X J， LI W Q，et al ．Cooperative scheduling strategy of energy storage systems for regional grid supplied by renewable energy[J]．Power Generation Technology，2021，42(1)：31-39． doi:10.12096/j.2096-4528.pgt.20027
15	刘圆圆．储能电站在用户供电系统中的应用研究[D]．西安：陕西科技大学，2013．
	LIU Y Y ．Research on application of energy storage power station in user power supply system[D]．Xi’an：Shaanxi University of Science & Technology，2013．
16	叶季蕾，李斌，张宇，等．基于全球能源互联网典型特征的储能需求及配置分析[J]．发电技术，2021，42(1)：20-30． doi:10.12096/j.2096-4528.pgt.20082
	YE J L， LI B， ZHANG Y ．Energy storage requirements and configuration analysis based on typical characteristics of global energy internet[J]．Power Generation Technology，2021，42(1)：20-30． doi:10.12096/j.2096-4528.pgt.20082
17	陈崇德，郭强，宋子秋，等．计及碳收益的风电场混合储能容量优化配置[J]．中国电力，2022，55(12)：22-33．
	CHEN C D， GUO Q， SONG Z Q，et al ．Optimal configuration of hybrid energy storage capacity for wind farms considering carbon trading revenue[J]．Electric Power，2022，55(12)：22-33．
18	鲁鹏，田浩，武伟鸣，等．需求侧能量枢纽和储能协同提升风电消纳和平抑负荷峰谷模型[J]．电力科学与技术学报，2021，36(1)：42-51．
	LU P， TIAN H， WU W M，et al ．Demand side energy hub and energy storage cooperate to smooth peak and valley and improve wind power consumption model[J]．Journal of Electric Power Science and Technology，2021，36(1)：42-51．

参数	A组	B组	C组	D组
C₁	51 196.6	48 321.5	82 531.5	94 829.8
C₂	4 757.6	2 876.5	4 757.6	9 435.5
C₃	365.8	288.5	446.3	789.4
C₄	1 463.3	1 245.3	1 678.6	1 249.5
C₅	-7 538.9	-12 785.4	-13 905.9	-14 411.6
C₆	1 891.01	1 921.5	2 054.2	3 354.1
C	57 541.6	43 868.6	79 562.2	100 171.9
D	38 783.6	35 423.3	58 663.4	65 714.5
E	29 851.1	29 148.2	36 325.1	38 147.2
Y	11 093.2	20 702.8	15 426.2	3 689.8

参数	A组	B组	C组	D组
C₁	51 196.6	48 321.5	82 531.5	94 829.8
C₂	4 757.6	2 876.5	4 757.6	9 435.5
C₃	365.8	288.5	446.3	789.4
C₄	1 463.3	1 245.3	1 678.6	1 249.5
C₅	-7 538.9	-12 785.4	-13 905.9	-14 411.6
C₆	1 891.01	1 921.5	2 054.2	3 354.1
C	57 541.6	43 868.6	79 562.2	100 171.9
D	38 783.6	35 423.3	58 663.4	65 714.5
E	29 851.1	29 148.2	36 325.1	38 147.2
Y	11 093.2	20 702.8	15 426.2	3 689.8

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[2]	Wentao JIN, Xiangjun LI, Dong HUI, Jingli LI, Wannian QI, Chengyuan Lü. Study on Statistical Characteristics of Battery Consistency in Large-scale Energy Storage Power Stations [J]. Power Generation Technology, 2021, 42(3): 298-305.