OPTIMAL SCHEDULING STRATEGY OF NEW ENERGY AND SELF-SUPPLIED POWER PLANTS IN HIGH ENERGY-CONSUMING INDUSTRIAL PARKS BASED ON GENERATION RIGHTS-CARBON-GREEN CERTIFICATE TRADING

Chen Wei; Nie Dacheng; Wei Zhanhong; Lin Jie

doi:10.19912/j.0254-0096.tynxb.2025-0645

PDF(2772 KB)

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 545-557. DOI: 10.19912/j.0254-0096.tynxb.2025-0645

OPTIMAL SCHEDULING STRATEGY OF NEW ENERGY AND SELF-SUPPLIED POWER PLANTS IN HIGH ENERGY-CONSUMING INDUSTRIAL PARKS BASED ON GENERATION RIGHTS-CARBON-GREEN CERTIFICATE TRADING

Chen Wei, Nie Dacheng, Wei Zhanhong, Lin Jie

Author information +

History +

Abstract

Aiming at the problems of excessive carbon emissions in high energy-consuming industrial parks and insufficient consumption of new energy, this paper proposes an optimal scheduling model that incorporates concentrated solar power plants, wind power, photovoltaic power, and self-supplied power plants in high energy-consuming industrial parks. This model integrates short-term generation rights trading with a ladder-type carbon emission-green certificate hybrid market mechanism. Firstly, based on the energy time-shifting characteristics of the thermal storage system in concentrated solar power plants and the electric-thermal coupling mechanism, a power coordination model for a multi-energy complementary system is constructed to smooth the fluctuations in the output of wind and solar power and enhance the consumption capacity. Then, a strategy for combined short-term generation rights trading is designed. Through the conversion mechanism among generation rights green certificates, carbon quotas, and green certificates, the output of new energy is dynamically matched with the regulation requirements of self-supplied power plants. Finally, taking a certain high energy-consuming industrial park in Jiuquan, Gansu Province as an example for simulation, the results show that this method can not only effectively reduce the carbon emissions of high energy-consuming industrial parks but also improve the consumption capacity of renewable energy. In addition, after the introduction of concentrated solar power plants, the total cost of the park is further reduced, achieving a dual optimization of environmental and economic benefits.

Key words

solar thermal power station / carbon trading / captive power plant / multi-energy complementary system / short-term generation right trading / tiered green certificate trading mechanism

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Chen Wei, Nie Dacheng, Wei Zhanhong, Lin Jie. OPTIMAL SCHEDULING STRATEGY OF NEW ENERGY AND SELF-SUPPLIED POWER PLANTS IN HIGH ENERGY-CONSUMING INDUSTRIAL PARKS BASED ON GENERATION RIGHTS-CARBON-GREEN CERTIFICATE TRADING[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 545-557 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0645

References

[1] 生态环境部. 2023、2024年度全国碳排放权交易发电行业配额总量和分配方案[EB/OL]. https://www.gov.cn/zhengce/zhengceku/202410/P020241022275017526919.pdf.
Ministry of Ecology and Environment. Total allowance an allocation plan for the power generation industry in the national carbon emission trading market in2023 and 2024[B/OL]. https://www.gov.cn/zhengce/zhengceku/202410/P020241022275017526919.pdf.
[2] 应浩天, 何旭, 樊玉新, 等. 面向区域电网光伏调峰的火光储系统优化调度[J]. 太阳能学报, 2025, 46(6): 49-57.
Ying H T, He X, Fan Y X, et al.Optimal scheduling of thermal-PV-storage system for regional power grid photovoltaic peak shaving[J]. Acta Energiae Solaris Sinica, 2025, 46(6): 49-57.
[3] 陈伟, 刘文翰, 李万伟, 等. 考虑风电与光热电站参与能量-调频辅助服务市场的联合投标策略[J]. 太阳能学报, 2025, 46(1): 402-411.
Chen W, Liu W H, Li W W, et al.Joint bidding strategy considering wind power and concentrating solar power station participating in the energy frequency regulation auxiliary service market[J]. Acta Energiae Solaris Sinica, 2025, 46(1): 402-411.
[4] 陈伟, 刘文翰, 魏占宏, 等. 计及需求响应的光热电站参与深度调峰的分层优化调度策略[J]. 太阳能学报, 2024, 45(3): 579-590.
Chen W, Liu W H, Wei Z H, et al.Hierarchical optimal scheduling strategy for concentrating solar power participating in deep peak shaving considering demand response[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 579-590.
[5] 杜尔顺, 张宁, 康重庆, 等. 太阳能光热发电并网运行及优化规划研究综述与展望[J]. 中国电机工程学报, 2016, 36(21): 5765-5775, 6019.
Du E S, Zhang N, Kang C Q, et al.Reviews and prospects of the operation and planning optimization for grid integrated concentrating solar power[J]. Proceedings of the CSEE, 2016, 36(21): 5765-5775.
[6] 国家能源局. 国家能源局2021年一季度网上新闻发布会文字实录[EB/OL]. (2021-01-30)[2021-09-01]. http://www.nea.gov.cn/2021-01/30/c_139708580.htm.
National Energy Administration. Transcript of the online press conference of the national energy administration in the first quarter of2021[EB/OL]. (2021-01-30) [2021-09-01]. http://www.nea.gov.cn/2021-01/30/c_139708580.htm.
[7] 孙丹阳. 多场景下风-光-光热联合发电系统中光热电站储热容量优化配置研究[D]. 西安: 西安理工大学, 2023.
Sun D Y.Research on capacity optimal configuration of thermal energy storage within CSP for wind-photovoltaic-CSP hybrid power generation system in multi-scenario[D]. Xi’an: Xi’an University of Technology, 2023.
[8] Chen R Z, Sun H B, Guo Q L, et al.Reducing generation uncertainty by integrating CSP with wind power: an adaptive robust optimization-based analysis[J]. IEEE Transactions on Sustainable Energy, 2015, 6(2): 583-594.
[9] 陈艺华, 张炜, 张成刚, 等. 促进新能源消纳的省间、省内两级电力现货市场运行机制[J]. 电力系统自动化, 2021, 45(14): 104-113.
Chen Y H, Zhang W, Zhang C G, et al.Operation mechanism of inter-and intra-provincial electricity spot markets to promote renewable energy accommodation[J]. Automation of Electric Power Systems, 2021, 45(14): 104-113.
[10] 贺元康, 丁涛, 刘瑞丰, 等. 新能源消纳电量库交易机制的实践与经验[J]. 电力系统自动化, 2021, 45(7): 163-169.
He Y K, Ding T, Liu R F, et al.Practice and experience of trading mechanism for energy pool of renewable energy accommodation[J]. Automation of Electric Power Systems, 2021, 45(7): 163-169.
[11] 杨波, 汤文成, 吴福保, 等. 考虑CVaR的“新能源+储能”电厂日前市场投标策略[J]. 电力系统保护与控制, 2022(9): 93-100.
Yang B, Tang W C, Wu F B, et al.Day-ahead market bidding strategy for “renewable energy+energy storage” power plants considering conditional value-at-risk[J]. Power System Protection and Control, 2022(9): 93-100.
[12] 晋宏杨, 孙宏斌, 郭庆来, 等. 含大规模储热的光热电站-风电联合系统多日自调度方法[J]. 电力系统自动化, 2016, 40(11): 17-23.
Jin H Y, Sun H B, Guo Q L, et al.Multi-day self-scheduling method for combined system of CSP plants and wind power with large-scale thermal energy storage contained[J]. Automation of Electric Power Systems, 2016, 40(11): 17-23.
[13] Xu T, Zhang N.Coordinated operation of concentrated solar power and wind resources for the provision of energy and reserve services[J]. IEEE Transactions on Power Systems, 2017, 32(2): 1260-1271.
[14] Zhao S Q, Fang Y C, Wei Z Y.Stochastic optimal dispatch of integrating concentrating solar power plants with wind farms[J]. International Journal of Electrical Power & Energy Systems, 2019, 109: 575-583.
[15] 华夏, 罗凡, 张建华, 等. 促进新能源消纳的自备电厂发电权交易模式可行性探讨[J]. 电力系统自动化, 2016, 40(12): 200-206.
Hua X, Luo F, Zhang J H, et al.Feasibility analysis of trade mode promoting new energy consumption based on generation rights trade of self-generation power plants[J]. Automation of Electric Power Systems, 2016, 40(12): 200-206.
[16] 周竞, 王珂, 王维洲, 等. 自备电厂参与新能源消纳的交易模式效益分析及应用探讨[J]. 电力系统自动化, 2016, 40(14): 145-150.
Zhou J, Wang K, Wang W Z, et al.Benefit analysis and application discussion of trading mode with self-owned power plant participating in renewable energy consumption[J]. Automation of Electric Power Systems, 2016, 40(14): 145-150.
[17] 鲍海, 艾东平, 杨以涵, 等. 远期与日前市场相结合的发电权交易模式[J]. 电网技术, 2012, 36(2): 264-270.
Bao H, Ai D P, Yang Y H, ET AL. mode of generation rights trade based on the forward and day-ahead markets[J]. Power System Technology, 2012, 36(2): 264-270.
[18] 刘闯, 李凤婷, 晁勤, 等. 考虑清洁能源消纳的多边发电权交易新型模式[J]. 电力自动化设备, 2021, 41(1): 92-97.
Liu C, Li F T, CHAO Q, et al.Novel transaction mode of multilateral power generation rights considering clean energy consumption[J]. Electric Power Automation Equipment, 2021, 41(1): 92-97.
[19] 王雁凌, 邱小燕, 许传龙. 以节能降耗为目标的发电权交易阻塞管理模型[J]. 电网技术, 2012, 36(6): 272-276.
Wang Y L, Qiu X Y, Xu C L.Congestion management of generation rights trade based on energy conservation[J]. Power System Technology, 2012, 36(6): 272-276.
[20] 艾东平, 鲍海, 杨以涵. 发电权交易的阻塞风险规避模型[J]. 电力系统保护与控制, 2011, 39(1): 7-14.
Ai D P, Bao H, Yang Y H.Congestion risk hedging model for generation rights trade[J]. Power System Protection and Control, 2011, 39(1): 7-14.
[21] 刘文霞, 王丽娜, 张帅, 等. 基于合作博弈论的日前自备电厂与风电发电权交易模型[J]. 电网技术, 2022, 46(7): 2647-2656.
Liu W X, Wang L N, Zhang S, et al.Cooperation game theory-based model for trading of power generation rights between former captive power plants and wind power[J]. Power System Technology, 2022, 46(7): 2647-2656.
[22] 王子恒, 鲍海, 张峰, 等. 考虑碳交易收益和网损成本的发电权交易优化模型[J]. 电力自动化设备, 2023, 43(5): 23-29.
Wang Z H, Bao H, Zhang F, et al.Optimization model of power generation right trading considering carbon trading income and network loss cost[J]. Electric Power Automation Equipment, 2023, 43(5): 23-29.
[23] Gao J W, Meng Q C, Liu J T, et al.Thermoelectric optimization of integrated energy system considering wind-photovoltaic uncertainty, two-stage power-to-gas and ladder-type carbon trading[J]. Renewable Energy, 2024, 221: 119806.
[24] Wang L Y, Dong H Q, Lin J L, et al.Multi-objective optimal scheduling model with IGDT method of integrated energy system considering ladder-type carbon trading mechanism[J]. International Journal of Electrical Power & Energy Systems, 2022, 143: 108386.
[25] Teng M M, Lyu K F, Han C F, et al.Trading behavior strategy of power plants and the grid under renewable portfolio standards in China: a tripartite evolutionary game analysis[J]. Energy, 2023, 284: 128398.
[26] Liu D W, Luo Z, Qin J H, et al.Low-carbon dispatch of multi-district integrated energy systems considering carbon emission trading and green certificate trading[J]. Renewable Energy, 2023, 218: 119312.
[27] Gomes I L R, Melicio R, Mendes V M F. A novel microgrid support management system based on stochastic mixed-integer linear programming[J]. Energy, 2021, 223: 120030.
[28] 王悦祺, 林顺富, 周波, 等. 高载能工业园区灵活性资源优化调度策略[J]. 上海电力大学学报, 2024, 40(5): 439-448.
Wang Y Q, Lin S F, Zhou B, et al.Optimized scheduling strategy for flexibility resources in high energy-carrying industrial parks[J]. Journal of Shanghai University of Electric Power, 2024, 40(5): 439-448.
[29] Faraji J, Hashemi-Dezaki H, Ketabi A.Optimal probabilistic scenario-based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources[J]. Energy Science & Engineering, 2020, 8(11): 3942-3960.