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浙江大学学报(工学版)
浙江大学学报(工学版)  2024, Vol. 58 Issue (2): 426-436    DOI: 10.3785/j.issn.1008-973X.2024.02.020
电气工程     
计及共享交易机制的多微网氢储能容量规划
尚怡铭(),王维庆*(),李笑竹,郭成康,闫斯哲
新疆大学 可再生能源发电与并网控制教育部工程研究中心，新疆 乌鲁木齐 830047
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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摘要：

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    
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
收稿日期: 2023-07-13 出版日期: 2024-01-23
CLC:  TM 73  
通讯作者: 王维庆     E-mail: 1191985334@qq.com;wwq59@xju.edu.cn
作者简介: 尚怡铭（1998—），女，硕士生，从事综合能源系统规划与运行研究. orcid.org/00009-0008-2020-7195. E-mail: 1191985334@qq.com
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尚怡铭
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闫斯哲

引用本文:

尚怡铭,王维庆,李笑竹,郭成康,闫斯哲. 计及共享交易机制的多微网氢储能容量规划[J]. 浙江大学学报(工学版), 2024, 58(2): 426-436.

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.

链接本文:

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

图 1  微电网群共享氢储能系统的架构
图 2  博弈参与者互动架构
图 3  微电网运行控制策略的流程图
图 4  微网 1 的基准日负荷和新能源出力曲线
图 5  微网2的基准日负荷和新能源出力曲线
图 6  微网3的基准日负荷和新能源出力曲线
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}} $/% 60
表 1  氢储能配置成本及效率参数
场景主体Qele/kWQfue/kW$Q^{{\rm{H}}_2} $/(kW·h)
场景1 MGCO 3265 653 10611
场景2 MGCO 3446 689 11609
场景3 微网1 1057 263 4822
微网2 1884 0 1585
微网3 1173 1007 6936
总和 4114 1270 13343
表 2  氢储能系统的容量配置结果对比
场景主体Uele/%Ufue/%$U_{{\rm{H}}_2} $/%
场景1 MGCO 71.51 38.28 68.9
场景2 MGCO 68.69 37.92 69.51
场景3 微网1 58.66 34.22 52.72
微网2 59.43 — 63.73
微网3 59.28 29.79 65.61
总和 59.19 30.7 60.72
表 3  氢储能系统的设备利用率对比
场景$ {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
表 4  各主体的收益结果对比
图 7  微电网群运营商的售能价格
图 8  各微网自配氢储能模式下的能量交互
图 9  各微网共享氢储能模式下的能量交互
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