考虑极端天气的电力供应链可再生能源维护策略研究

doi:10.16381/j.cnki.issn1003-207x.2022-2669

Abstract

Abstract:

Aiming at the influence of extreme weather on renewable energy maintenance， a two-level electricity supply chain composed of an electricity generator and an electricity retailer is constructed. Maintaining renewable energy by electricity generator will optimize the energy structure； Maintaining renewable energy by electricity retailer will increase electricity demand. The two models are compared， which are renewable energy maintenance by electricity generator and electricity retailer， and the boundaries of renewable energy maintenance are identified. The equilibrium model is solved by backward induction and the following conclusions are drawn. （1） With the increase in the maintenance cost coefficient of renewable energy or the probability of extreme weather， the demand for renewable energy decreases. （2） When the probability of extreme weather is small， electricity retailer is more motivated to maintain more renewable energy， while when the probability of extreme weather is large， electricity generator is more motivated to maintain more renewable energy. The main research contributions are as follows （1） Extreme weather is introduced into the electricity supply chain， based on the situation where there are electricity generator maintaining renewable energy and electricity retailer maintaining renewable energy in reality. It is identified that the boundaries of renewable energy maintenance will improve the efficiency of the power supply chain. （2） Few scholars have studied the issue of who will maintain renewable energy. Chen et al. （2020） studied the investment of upstream and downstream electricity supply chain investment of renewable energy. It is found that the probability of extreme weather occurring affects the selection strategy of electricity supply chain， which further enriches existing research on the electricity market.

Key words: extreme weather, electricity supply chain, renewable energy, game

CLC Number:

F224.32

Wei Chen, Yongle Tian, Chunguang Bai, Yongkai Ma. Renewable Energy Maintenance Strategies for Power Supply Chain Considering Extreme Weather[J]. Chinese Journal of Management Science, 2025, 33(9): 359-368.

Figures/Tables 12

References 24

[1]	张希良，黄晓丹，张达，等. 碳中和目标下的能源经济转型路径与政策研究［J］. 管理世界， 2022， 38（1）： 35-66.
	Zhang X L， Huang X D， Zhang D， et al. Research on the pathway and policies for China’s energy and economy transformation toward carbon neutrality［J］. Journal of Management World， 2022， 38（1）： 35-66.
[2]	Wu G， Zeng M， Peng L， et al. China׳s new energy development： Status， constraints and reforms［J］. Renewable and Sustainable Energy Reviews， 2016， 53： 885-896.
[3]	Panwar N L， Kaushik S C， Kothari S. Role of renewable energy sources in environmental protection： A review［J］. Renewable and Sustainable Energy Reviews， 2011， 15（3）： 1513-1524.
[4]	Krishna Priya G S， Bandyopadhyay S. Emission constrained power system planning： A pinch analysis based study of Indian electricity sector［J］. Clean Technologies and Environmental Policy， 2013， 15（5）： 771-782.
[5]	刘纯，马烁，董存，等. 欧洲3·20日食对含大规模光伏发电的电网运行影响及启示［J］. 电网技术， 2015， 39（7）： 1765-1772.
	Liu C， Ma S， Dong C， et al. Review and experiences of the European solar eclipse’s impact on power grid operation with significant PV generation［J］. Power System Technology， 2015， 39（7）： 1765-1772.
[6]	Kapica J， Jurasz J， Canales F A， et al. The potential impact of climate change on European renewable energy droughts［J］.Renewable and Sustainable Energy Reviews， 2024， 189： 114011.
[7]	搜狐.15家！光伏运维哪家强？［EB/OL］.（2017-09-13）［2024-01-07］..
	Sohu.Companies！ Which company is strong in photovoltaic operation and maintenance？［EB/OL］.（2017-09-13）［2024-01-07］..
[8]	国家电网.加快建设新型电力系统推动绿色低碳转型［EB/OL］.（2024-11-01）［2024-01-07］.
	Grid State. Accelerating the construction of a new power system and promoting green and low-carbon transformation［EB/OL］.（2024-11-01）［2024-01-07］..
[9]	Perera A T D， Nik V M， Chen D， et al. Quantifying the impacts of climate change and extreme climate events on energy systems［J］.Nature Energy，2020，5（2）： 150-159.
[10]	Zhou Y， Li X， Han H， et al. Resilience-oriented planning of integrated electricity and heat systems： A stochastic distributionally robust optimization approach［J］. Applied Energy， 2024， 353： 122053.
[11]	Abdin A F， Fang Y P， Zio E. A modeling and optimization framework for power systems design with operational flexibility and resilience against extreme heat waves and drought events［J］. Renewable and Sustainable Energy Reviews， 2019， 112： 706-719.
[12]	Li L， Wang J， Zhong X， et al. Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions［J］. Applied Energy， 2022， 308： 118376.
[13]	Cao K， Guo Q， Xu Y. Information sharing and carbon reduction strategies with extreme weather in the platform economy［J］. International Journal of Production Economics， 2023， 255： 108683.
[14]	徐婉迪，罗俊，范薇薇. 不确定环境下并网型光储微电网的容量规划［J］. 系统工程理论与实践， 2022， 42（4）： 981-1000.
	Xu W D， Luo J， Fan W W. Capacity planning of grid-connected PV-and-storage microgrid under uncertainty［J］. Systems Engineering-Theory & Practice， 2022， 42（4）： 981-1000.
[15]	许高秀，王旭，邓晖，等. 考虑调频需求及风光出力不确定性的储能系统参与能量-调频市场运行策略［J］. 电网技术， 2023， 47（6）： 2317-2330.
	Xu G X， Wang X， Deng H， et al. Optimal operation strategy of energy storage system’s participation in energy and regulation market considering uncertainties of regulation requirements and wind-photovoltaic output［J］. Power System Technology， 2023， 47（6）： 2317-2330.
[16]	陈威，马永开，白春光. 基于碳限额与交易机制的上下游企业可再生能源投资策略研究［J］. 中国管理科学， 2023， 31（1）： 70-80.
	Chen W， Ma Y K， Bai C G. Research on upstream and downstream enterprises of renewable energy investment under cap-and-trade mechanism［J］. Chinese Journal of Management Science， 2023， 31（1）： 70-80.
[17]	Liu Z， Anderson T D， Cruz J M. Consumer environmental awareness and competition in two-stage supply chains［J］. European Journal of Operational Research， 2012， 218（3）： 602-613.
[18]	Ghosh D， Shah J. Supply chain analysis under green sensitive consumer demand and cost sharing contract［J］. International Journal of Production Economics， 2015， 164： 319-329.
[19]	陈威. 碳限额与交易机制下的可再生能源投资策略研究［D］. 成都：电子科技大学博士学位论文， 2021.
	Chen W. Research on renewable energy investment strategy under cap-and-trade mechanisms［D］. Chengdu： Doctoral Dissertation of University of Electronic Science and Technology of China， 2021.
[20]	Roller L H. Proper quadratic cost functions with an application to the bell system［J］. The Review of Economics and Statistics， 1990， 72（2）： 202.
[21]	Chao H P. Efficient pricing and investment in electricity markets with intermittent resources［J］. Energy Policy， 2011， 39（7）： 3945-3953.
[22]	Ji J， Zhang Z， Yang L. Carbon emission reduction decisions in the retail-/ dual-channel supply chain with consumers' preference［J］. Journal of Cleaner Production， 2017， 141： 852-867.
[23]	Chen W， Ma Y， Bai C. Influences of cap-and-trade allocation regulations on investment in low-carbon electricity-generation technology considering peak-pricing policy［J］. IEEE-Transactions on Engineering Management， 2021， 24（1）：1-17.
[24]	新浪.极端天气大考能源保供护航高峰用电［EB/OL］.（2022-06-22）［2024-01-07］..
	Sina.Extreme weather test， ensuring energy supply to escort peak electricity consumption［EB/OL］.（2022-06-22）［2024-01-07］..

Renewable Energy Maintenance Strategies for Power Supply Chain Considering Extreme Weather

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 24

Related Articles 15

Metrics

Comments

Recommended 0

[1]	Fei Yan, Hongzhuan Chen. Research on Dynamic Licensing Pricing Strategy of Dual-use Defense Patent Considering the Social Efficiency [J]. Chinese Journal of Management Science, 2025, 33(9): 148-160.
[2]	Xuwei Qin, Yimei Zhu, Zhongzhong Jiang, Xiaoran Liu. Service-performance-based Contract Designs for Equipment Suppliers and Their Signaling Mechanisms [J]. Chinese Journal of Management Science, 2025, 33(9): 248-257.
[3]	Rui Wang, Xiuli Xu. Customer Behavior and Pricing Analysis Based on “Service Intelligence Queueing System” [J]. Chinese Journal of Management Science, 2025, 33(8): 260-270.
[4]	Yi Jing, Wenqiu Zhang, Liu Cao. Research on the Cooperation Strategy of “Trade-in” between E-commerce Shopping Platform and Recycling Platform [J]. Chinese Journal of Management Science, 2025, 33(8): 289-297.
[5]	Yeming Dai, Shuang Yu. Remanufacturing Closed-loop Supply Chain Decision Considering Retailer’s Dual Behavior Preference under Carbon Tax Regulation [J]. Chinese Journal of Management Science, 2025, 33(8): 308-320.
[6]	Mei Duan, Zhenwei Liu, Lang Liu. Differential Game of Dynamic Closed-Loop Supply Chain Considering Consumers' Purchasing Regret [J]. Chinese Journal of Management Science, 2025, 33(8): 321-330.
[7]	Xichen Lyu, Yinfeng Tian, Shihai Tian, Jiayuan Liu, Qingwei Kong. Research on Multi-Agent Decision-Making in Carbon Data Quality Supervision under MRV Mechanism: A Blockchain Technology Empowerment Perspective [J]. Chinese Journal of Management Science, 2025, 33(8): 355-368.
[8]	Jihai Zhang, Qichang Guo, Xu Jiang, Zhengfan Yang. Research on Emergency Supplies Reserve Strategy of Government-enterprise Cooperation from the Perspective of Hierarchical Responsibility [J]. Chinese Journal of Management Science, 2025, 33(7): 232-242.
[9]	Zhiwen Li, Xianhao Xu, Xu Guan, Qingguo Bai, Cheng Chen. Evolutionary Game Analysis for Blockchain Adoption Decisions of Two Oligopolies in An Agricultural Market [J]. Chinese Journal of Management Science, 2025, 33(7): 324-336.
[10]	Zhongmiao Sun, Qi Xu. Dynamic Incentive Subsidy of Government for Renewable Energy Power Consumption under Blockchain Technology [J]. Chinese Journal of Management Science, 2025, 33(7): 346-359.
[11]	Ming Zhang, Linzhao Xue, Wenwen Wang. A Study of Control Strategy about Transboundary Pollution under Emission Permit Trading and Competition Mechanism [J]. Chinese Journal of Management Science, 2025, 33(6): 289-299.
[12]	Wenbin Wang, Jie Guan. Decision of Electricity Supply Chain for Considering Emission Reduction Strategy of Electricity Generator under Carbon Cap-and-Trade Policy [J]. Chinese Journal of Management Science, 2025, 33(6): 335-345.
[13]	Jiangxia Nan, Xiaoyong Wu, Maojun Zhang. Production Competition and Emission Reduction Technology Cooperation between Manufacturers under the Low-carbon Market Based on Blockchain Technology [J]. Chinese Journal of Management Science, 2025, 33(6): 360-368.
[14]	Xiqiang Xia, Peihan Li, Jiahui Jia, Rui Wu, Mengyuan Lu. Studying on the Impact of Government Subsidies on Manufacturing/Remanufacturing Based on Different Allocation Modes of Carbon Allowance [J]. Chinese Journal of Management Science, 2025, 33(5): 313-324.
[15]	Lili Ding, Zhongchao Zhao, Kaixuan Zhang. Research on the Mechanism of Perceived Value on the Development of Personal Carbon Account Green Credit [J]. Chinese Journal of Management Science, 2025, 33(5): 344-355.