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浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2024, Vol. 58 Issue (2): 426-436    DOI: 10.3785/j.issn.1008-973X.2024.02.020
    
Hydrogen storage capacity planning for multiple types of microgrids considering shared trading mechanism
Yiming SHANG(),Weiqing WANG*(),Xiaozhu LI,Chengkang GUO,Sizhe YAN
Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid-connected Control, Xinjiang University, Urumqi 830047, China
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Abstract  

The capacity planning method for multi-type microgrid shared hydrogen energy storage system considering the shared trading mechanism was proposed by considering the characteristics of hydrogen storage in multi-energy supply and storage in order to promote the consumption of new energy in regional distribution grids and solve the difficulty of traditional forms of energy storage in meeting the long-term storage demand brought about by the intermittent generation of new energy. The basic framework of multi-microgrid energy trading with hydrogen storage configured by microgrid cluster operators was designed by considering multiple regulation needs of heterogeneous microgrids. Then the complex interaction of interests between hydrogen storage and multiple microgrids was considered during shared operation as well as the demand response of electricity and heat within microgrids. A pricing mechanism based on the master-slave game for shared hydrogen storage transactions was proposed to ensure the sustainable development of the sharing model. The capacity planning for shared hydrogen energy storage was analyzed in order to reduce the investment costs for microgrid cluster operators and ensure the shared benefits. Results show that the proposed capacity planning method can shorten the payback period of hydrogen energy storage for microgrid cluster operators by 2.36 years.

Key words： shared hydrogen energy storage      microgrid      shared transaction      master-slave game      capacity planning     
Received: 13 July 2023      Published: 23 January 2024
CLC:  TM 73  
Corresponding Authors: Weiqing WANG     E-mail: 1191985334@qq.com;wwq59@xju.edu.cn
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Yiming SHANG
Weiqing WANG
Xiaozhu LI
Chengkang GUO
Sizhe YAN
Cite this article:

Yiming SHANG,Weiqing WANG,Xiaozhu LI,Chengkang GUO,Sizhe YAN. Hydrogen storage capacity planning for multiple types of microgrids considering shared trading mechanism. Journal of ZheJiang University (Engineering Science), 2024, 58(2): 426-436.

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https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2024.02.020     OR     https://www.zjujournals.com/eng/Y2024/V58/I2/426


计及共享交易机制的多微网氢储能容量规划

为了促进区域配电网新能源电力的就地消纳、解决传统储能形式难以满足由新能源间断性发电带来的长时存储需求，考虑氢储能的多能联产联储特性，提出计及共享交易机制的多类型微网共享氢储能系统容量规划方法. 考虑异质性微网的多种调节需求，设计由微电网群运营商配置氢储能的多微网能源交易基本框架. 考虑氢储能在共享运营时与多微网间复杂的利益交互关系，计及微网内部的电热需求响应，提出基于主从博弈的共享氢储能交易定价机制，以保证共享模式的可持续发展. 对共享氢储能的容量规划进行研究，降低微电网群运营商的投资成本，保证微电网群运营商的共享收益. 算例分析结果表明，利用所提的容量规划方法，能够缩短微电网群运营商的氢储能投资回收年限2.36 a.


关键词： 共享氢储能,  微电网,  共享交易,  主从博弈,  容量规划 
Fig.1 Architecture of microgrid cluster shared hydrogen energy storage system
Fig.2 Master-slave game interaction architecture
Fig.3 Flowchart of microgrid operation control strategy
Fig.4 Base day load and new energy output curve of microgrid 1
Fig.5 Base day load and new energy output curve of microgrid 2
Fig.6 Base day load and new energy output curve of microgrid 3
参数数值参数数值
$ {\xi _{{\text{ele}}}} $/(元·kW?1) 2850 $ \gamma $/% 10
$ {\xi _{{\text{fue}}}} $/(元·kW?1) 3800 L/a 20
$ {\xi _{{{\text{H}}_{\text{2}}}}} $/(元·m?3) 330 ${L_{ {\text{C} }{ {\text{H} }_{\text{4} } } }}$/（J·m?3） 3.622×107
$ {\eta }_{\text{ch}}^{{\text{H}}_{\text{2}}}、{\eta }_{\text{dis}}^{\text{e}} $/% 98 $ {L_{{{\text{H}}_{\text{2}}}}} $/（J·m?3） 1.246×107
$ {\eta }_{\text{ele}}^{{\text{H}}_{\text{2}}}、{\eta }_{\text{fue}}^{\text{e}} $/% 60 $ \eta _{{\text{MT}}}^{\text{e}} $/% 30
$ {\eta }_{\text{ele}}^{\text{h}}、{\eta }_{\text{fue}}^{\text{h}} $/% 88 $ \eta _{{\text{MT}}}^{\text{h}} $/% 60
Tab.1 Hydrogen energy storage configuration cost and efficiency parameters
场景主体Qele/kWQfue/kW$Q^{{\rm{H}}_2} $/(kW·h)
场景1 MGCO 3265 653 10611
场景2 MGCO 3446 689 11609
场景3 微网1 1057 263 4822
微网2 1884 0 1585
微网3 1173 1007 6936
总和 4114 1270 13343
Tab.2 Comparison of capacity allocation result for hydrogen storage system
场景主体Uele/%Ufue/%$U_{{\rm{H}}_2} $/%
场景1 MGCO 71.51 38.28 68.9
场景2 MGCO 68.69 37.92 69.51
场景3 微网1 58.66 34.22 52.72
微网2 59.43 — 63.73
微网3 59.28 29.79 65.61
总和 59.19 30.7 60.72
Tab.3 Comparison of equipment utilization of hydrogen storage system
场景$ {C_{1}} $/元$ {C_{ 2}} $/元$ {C_{3}} $/元MGCO
$ C_{{\text{grid}}}^{\text{e}} $/元$ C_{{\text{grid}}}^{\text{h}} $/元$ C_{{\text{MGCO}}}^{ 1} $/元$ C_{{\text{MGCO}}}^{ 2} $/元$ C_{{\text{MGCO}}}^{3} $/元$ C_{{\text{inv}}}^{} $/元$ F_{{\text{MGCO}}}^{} $/元
场景1 4638.77 14543.14 2188.53 20704.64 ?9073.98 4582.03 14543.14 2188.53 4919.71 4763.33
场景2 3704.82 12010.34 1924.22 19746.74 ?9691.62 2796.912 12010.33 1924.22 5236.23 1440.01
场景3 5129.18 16819.31 2689.24 18209.54 ?9041.28 2567.79 11225.31 ?310.28 0 4314.56
Tab.4 Earnings of each subject
Fig.7 Sales price of microgrid cluster operator
Fig.8 Energy interaction in each micro-grid self-assigned hydrogen storage mode
Fig.9 Energy interaction in shared hydrogen storage mode across microgrids
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