中国电力 ›› 2025, Vol. 58 ›› Issue (1): 153-163.DOI: 10.11930/j.issn.1004-9649.202404001
收稿日期:
2024-04-01
出版日期:
2025-01-28
发布日期:
2025-01-23
作者简介:
邹小燕(1979—),女,博士后,教授,从事博弈论、机制设计等理论在能源、环境政策中的应用研究,E-mail:375918519@qq.com基金资助:
Xiaoyan ZOU(), Ruihong ZHANG(
)
Received:
2024-04-01
Online:
2025-01-28
Published:
2025-01-23
Supported by:
摘要:
在“新能源配储”政策的推动下,可再生能源发电企业配备储能设施以提升能源供应的稳定性,然而储能电站的实际利用效率往往未能达到预期。通过引入地方政府这一主体,构建地方政府-可再生能源发电企业-储能公司三方演化博弈模型,研究地方政府干预对促成可再生能源发电企业与储能公司合作的影响,分析三方策略的动态演化过程及其博弈均衡策略,并进行仿真分析。结果表明:地方政府的适当干预有助于推动可再生能源发电企业和储能公司达成“众筹共建”和“容量租赁”的合作模式;地方政府可以根据双方合作意愿的变化灵活调整补贴力度,确保政策效果的最大化;地方政府在发电企业与储能公司合作的初始阶段进行干预能够有效促进双方建立合作关系,随着合作关系的深入发展,地方政府应适时减少直接干预,让市场机制发挥更大作用。研究成果对于优化新能源配储政策、推动可再生能源产业的健康发展具有理论和实践意义。
邹小燕, 张瑞宏. 考虑政府干预的可再生能源与储能企业合作模式演化博弈研究[J]. 中国电力, 2025, 58(1): 153-163.
Xiaoyan ZOU, Ruihong ZHANG. Evolutionary Game Study of the Cooperation Mode Between Renewable Energy Generation Enterprises and Energy Storage Companies Considering Government Intervention[J]. Electric Power, 2025, 58(1): 153-163.
图 1 地方政府干预视角下可再生能源发电企业和储能公司合作模式示意
Fig.1 Schematic diagram of cooperation mode between renewable energy generation enterprises and energy storage companies from the perspective of local government intervention
博弈主体 | 参数 | 定义 | ||
政府部门 | 地方政府干预策略的总成本 | |||
地方政府干预策略的可变成本 | ||||
地方政府干预策略的固定成本 | ||||
地方政府干预效率 | ||||
合作后地方政府获得的社会总效益 | ||||
给予发电企业的合作补贴 | ||||
给予储能公司的合作补贴 | ||||
上级政府对不作为地方政府的惩罚 | ||||
可再生能源发电企业 | 发电企业众筹共建储能电站投资额 | |||
发电企业配储电量收益 | ||||
众筹共建下储能电站外包风险 | ||||
众筹共建下储能电站外包费用 | ||||
投资商参与度 | ||||
储能公司 | 众筹共建下储能电站运维成本 | |||
众筹共建下储能电站现货市场收益 | ||||
容量租赁收益 | ||||
容量租赁下储能电站建设成本 | ||||
容量租赁下储能电站运维成本 |
表 1 模型参数及含义
Table 1 Model parameters and meanings
博弈主体 | 参数 | 定义 | ||
政府部门 | 地方政府干预策略的总成本 | |||
地方政府干预策略的可变成本 | ||||
地方政府干预策略的固定成本 | ||||
地方政府干预效率 | ||||
合作后地方政府获得的社会总效益 | ||||
给予发电企业的合作补贴 | ||||
给予储能公司的合作补贴 | ||||
上级政府对不作为地方政府的惩罚 | ||||
可再生能源发电企业 | 发电企业众筹共建储能电站投资额 | |||
发电企业配储电量收益 | ||||
众筹共建下储能电站外包风险 | ||||
众筹共建下储能电站外包费用 | ||||
投资商参与度 | ||||
储能公司 | 众筹共建下储能电站运维成本 | |||
众筹共建下储能电站现货市场收益 | ||||
容量租赁收益 | ||||
容量租赁下储能电站建设成本 | ||||
容量租赁下储能电站运维成本 |
策略组合(地方政府, 发电企业,储能公司) | 收益 | |
(干预,众筹共建,众筹共建) | ||
(干预,众筹共建,容量租赁) | ||
(干预,容量租赁,众筹共建) | ||
(干预,容量租赁,容量租赁) | ||
(不干预,众筹共建,众筹共建) | ||
(不干预,众筹共建,容量租赁) | ||
(不干预,容量租赁,众筹共建) | ||
(不干预,容量租赁,容量租赁) |
表 2 三方博弈下的收益
Table 2 The income of tripartite game
策略组合(地方政府, 发电企业,储能公司) | 收益 | |
(干预,众筹共建,众筹共建) | ||
(干预,众筹共建,容量租赁) | ||
(干预,容量租赁,众筹共建) | ||
(干预,容量租赁,容量租赁) | ||
(不干预,众筹共建,众筹共建) | ||
(不干预,众筹共建,容量租赁) | ||
(不干预,容量租赁,众筹共建) | ||
(不干预,容量租赁,容量租赁) |
图 6 干预-容量租赁策略下初始选择概率对博弈主体演化策略的影响
Fig.6 The influence of initial choice probability on the evolution strategy of game players under the intervention-capacity leasing strategy
图 8 干预-众筹共建策略下初始选择概率对博弈主体演化策略的影响
Fig.8 The influence of initial selection probability on the evolution strategy of game players under the co-construction strategy of intervention and crowdfunding
图 9 干预-众筹共建策略下地方政府给予发电企业补贴额度对博弈主体演化轨迹的影响
Fig.9 The influence of local government subsidies to generation enterprises on the evolution trajectory of game players under the intervention-crowdfunding co-construction strategy
图 10 干预-众筹共建策略下地方政府给予储能公司补贴额度对博弈主体演化轨迹的影响
Fig.10 Influence of local government subsidies to energy storage companies on the evolution trajectory of game players under the intervention-crowdfunding co-construction strategy
图 11 干预-众筹共建策略下上级政府对地方政府的处罚额对博弈主体演化策略的影响
Fig.11 The influence of higher level government's penalty to local government on the evolution strategy of game players under the intervention-crowdfunding co-construction strategy
1 | 赵东元, 胡楠, 傅靖, 等. 提升新能源电力系统灵活性的中国实践及发展路径研究[J]. 电力系统保护与控制, 2020, 48 (24): 1- 8. |
ZHAO Dongyuan, HU Nan, FU Jing, et al. Research on the practice and road map of enhancing the flexibility of a new generation power system in China[J]. Power System Protection and Control, 2020, 48 (24): 1- 8. | |
2 | 但扬清, 王蕾, 郑伟民, 等. 高比例可再生能源接入背景下电网承载能力鲁棒提升策略[J]. 中国电力, 2023, 56 (9): 104- 111. |
DAN Yangqing, WANG Lei, ZHENG Weimin, et al. Robust improvement strategy for power grid hosting capacity with integration of high proportion of renewable energy[J]. Electric Power, 2023, 56 (9): 104- 111. | |
3 | 郝婷, 樊小朝, 王维庆, 等. 阶梯式碳交易下考虑源荷不确定性的储能优化配置[J]. 电力系统保护与控制, 2023, 51 (1): 101- 112. |
HAO Ting, FAN Xiaochao, WANG Weiqing, et al. Optimal configuration of energy storage considering the source-load uncertainty under ladder-type carbon trading[J]. Power System Protection and Control, 2023, 51 (1): 101- 112. | |
4 | 任大伟, 侯金鸣, 肖晋宇, 等. 支撑双碳目标的新型储能发展潜力及路径研究[J]. 中国电力, 2023, 56 (8): 17- 25. |
REN Dawei, HOU Jinming, XIAO Jinyu, et al. Research on development potential and path of new energy storage supporting carbon peak and carbon neutrality[J]. Electric Power, 2023, 56 (8): 17- 25. | |
5 | 王骞, 易传卓, 张学广, 等. 兼顾捕碳强度与可再生能源消纳的储能容量配置优化方法[J]. 中国电机工程学报, 2023, 43 (21): 8295- 8309. |
WANG Qian, YI Chuanzhuo, ZHANG Xueguang, et al. Optimization of energy storage capacity sizing considering carbon capture intensity and renewable energy consumption[J]. Proceedings of the CSEE, 2023, 43 (21): 8295- 8309. | |
6 |
PEKER M, KOCAMAN A S, KARA B Y. Benefits of transmission switching and energy storage in power systems with high renewable energy penetration[J]. Applied Energy, 2018, 228, 1182- 1197.
DOI |
7 |
CONLON T, WAITE M, MODI V. Assessing new transmission and energy storage in achieving increasing renewable generation targets in a regional grid[J]. Applied Energy, 2019, 250, 1085- 1098.
DOI |
8 | 朱昌辉, 边晓燕, 臧延雪, 等. 考虑场间功率时移的海上风电场群联合储能优化调度方法[J]. 电网技术, 2024, 48 (6): 2394- 2403. |
ZHU Changhui, BIAN Xiaoyan, ZANG Yanxue, et al. Optimal scheduling method of offshore wind farm groups with energy storage considering power time shift between adjacent offshore wind farms[J]. Power System Technology, 2024, 48 (6): 2394- 2403. | |
9 | 刘道兵, 李珏岑, 齐越, 等. 考虑碳效益和运行策略的风电场储能优化配置[J/OL]. 太阳能学报, 1–9[2024-12-04]. https://doi.org/10.19912/j.0254-0096.tynxb.2023-1565. |
LIU Daobing, LI Juecen, QI Yue, et al. Wind farm energy storage optimization considering carbon benefit and operation strategy[J/OL]. Acta Energiae Solaris Sinica, 1–9[2024-12-04]. https://doi.org/10.19912/j.0254-0096.tynxb.2023-1565. | |
10 | 王庆, 赵宏, 陈静漪. 考量储能参与电力辅助服务的成本核算方法研究—基于功率型储能、能量型储能的比较分析[J]. 价格理论与实践, 2024, (1): 129- 134. |
WANG Qing, ZHAO Hong, CHEN Jingyi. Research on the cost accounting method of considering the participation of energy storage in power ancillary services—based on the comparative analysis of power-based energy storage and energy-based energy storage[J]. Price: Theory & Practice, 2024, (1): 129- 134. | |
11 | 陈威, 田永乐, 马永开, 等. 可再生能源储能租赁模式对电力质量和电价决策的影响[J]. 中国管理科学, 2024, 32 (1): 309- 318. |
CHEN Wei, TIAN Yongle, MA Yongkai, et al. Impact of leasing mode with renewable energy storage equipment on electricity quality and price[J]. Chinese Journal of Management Science, 2024, 32 (1): 309- 318. | |
12 | 栗然, 吕慧敏, 彭湘泽, 等. 阶梯成本下考虑混合租建模式的云储能优化配置[J]. 太阳能学报, 2024, 45 (2): 263- 273. |
LI Ran, LYU Huimin, PENG Xiangze, et al. Optimal configuration of cloud energy storage consideing hybrid self-built and lease mode under tiered cost[J]. Acta Energiae Solaris Sinica, 2024, 45 (2): 263- 273. | |
13 | 田冰颖, 何永秀, 恩格贝, 等. 众筹储能模式分析及成本传导机制[J]. 现代电力, 2024, 41 (3): 557- 564. |
TIAN Bingying, HE Yongxiu, EN Beige, et al. Analysis of crowd funding energy storage mode and cost transmission mechanism[J]. Modern Electric Power, 2024, 41 (3): 557- 564. | |
14 | 陈威, 马永开, 白春光. 基于新型电力系统的储能设备投资决策[J]. 系统管理学报, 2024, 33 (5): 1194- 1203. |
CHEN Wei, MA Yongkai, BAI Chunguang. Investment of renewable energy storage device in new electricity systems[J]. Journal of Systems & Management, 2024, 33 (5): 1194- 1203. | |
15 | 郑云平, 李明, 张艳丽, 等. 新型储能政策分析与建议[J/OL]. 储能科学与技术, 1–10[2024-12-04]. https://doi.org/10.19799/j.cnki.2095-4239.2023.0140. |
ZHENG Yunping, LI Ming, ZHANG Yanli, et al. Analysis and suggestions on new energy storage policy[J/OL]. Energy Storage Science and Technology, 1–10[2024-12-04]. https://doi.org/10.19799/j.cnki.2095-4239.2023.0140. | |
16 | 程承, 安润飞, 董康银, 等. 碳交易机制引导下可再生能源发电企业创新策略研究: 基于演化博弈视角[J]. 中国管理科学, 2024, 32 (3): 82- 94. |
CHENG Cheng, AN Runfei, DONG Kangyin, et al. Research on innovation strategy for renewable power generation enterprises under the background of carbon trading mechanism—from the perspective of evolutionary game[J]. Chinese Journal of Management Science, 2024, 32 (3): 82- 94. | |
17 | 刘兰剑, 张萌, 黄天航. 政府补贴、税收优惠对专利质量的影响及其门槛效应: 基于新能源汽车产业上市公司的实证分析[J]. 科研管理, 2021, 42 (6): 9- 16. |
LIU Lanjian, ZHANG Meng, HUANG Tianhang. The impact of government subsidies and tax preferences on patent quality and its threshold effect—An empirical analysis based on the listed companies in the new energy automobile industry[J]. Science Research Management, 2021, 42 (6): 9- 16. | |
18 |
SHAN S N, ZHANG Z C, JI W Y, et al. Analysis of collaborative urban public crisis governance in complex system: a multi-agent stochastic evolutionary game approach[J]. Sustainable Cities and Society, 2023, 91, 104418.
DOI |
19 | TAN J S, ZHAO X Y. Research on technological strategy of main body of innovation ecosystem——Evolutionary game and simulation based on leading and following firms[J]. Journal of management science, 2022, 25 (5): 13- 28. |
20 |
JIANG Y, QIAN C Y, YU J, et al. Evolutionary game analysis of power generation groups considering energy price fluctuation[J]. Algorithms, 2022, 15 (12): 456.
DOI |
21 |
朱振涛, 吴丘驰, 张焱, 等. 考虑容量优化的光伏制氢盐穴储氢系统经济性分析[J]. 电力建设, 2024, 45 (4): 26- 36.
DOI |
ZHU Zhentao, WU Qiuchi, ZHAN Yan, et al. Economic analysis of photovoltaic hydrogen-generation system using salt cavern for hydrogen storage considering capacity optimization[J]. Electric Power Construction, 2024, 45 (4): 26- 36.
DOI |
|
22 | 张博, 唐钰政, 代双寅, 等. 供用电双方满意的电压暂降治理增值服务策略[J]. 中国电力, 2020, 53 (11): 50- 59. |
ZHANG Bo, TANG Yuzheng, DAI Shuangyin, et al. Value-added service strategy of voltage sag governance for mutual satisfaction of power supply companies and power users[J]. Electric Power, 2020, 53 (11): 50- 59. |
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