RESEARCH ON ROBUST OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEMS CONSIDERING MULTIPLE UNCERTAINTIES AND DEMAND RESPONSE

Zhang Yu; Zeng Fanmin; Lin Yijie; Wang Sheng

doi:10.19912/j.0254-0096.tynxb.2024-0779

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 688-695. DOI: 10.19912/j.0254-0096.tynxb.2024-0779

RESEARCH ON ROBUST OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEMS CONSIDERING MULTIPLE UNCERTAINTIES AND DEMAND RESPONSE

Zhang Yu, Zeng Fanmin, Lin Yijie, Wang Sheng

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Abstract

To address the uncertainties associated with renewable energy output and load, and to achieve a robust, economical, and low-carbon balanced optimization of the system, this paper proposes a two-stage robust optimization model for integrated energy system scheduling, considering a variety of uncertainties and demand response mechanisms. On the operator side, demand response model based on pricing and substitutive demand response model are constructed. On the customer side, a user-incentive demand response model is developed. Additionally, user psychological factors, such as the endowment effect and environmental awareness, are incorporated to describe the extent of user participation in the incentive demand response. A set of adjustable uncertain parameters is defined, including wind power, photovoltaic power, load, and user psychological factors, and a two-stage robust optimization model is constructed with the primary objective of minimizing the system's operational costs. Finally, through simulation, data analysis, and scenario comparison, the economic efficiency, robustness, and low-carbon attributes of the proposed model are validated.

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uncertainties / integrated energy system / demand response / two-stage robust optimization / user psychological factors

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Zhang Yu, Zeng Fanmin, Lin Yijie, Wang Sheng. RESEARCH ON ROBUST OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEMS CONSIDERING MULTIPLE UNCERTAINTIES AND DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 688-695 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0779

References

[1] 顾洪宾, 范慧璞, 谢越韬, 等. 双碳背景下全球可再生能源领域发展机遇展望[J]. 国际工程与劳务, 2022, (9): 22-25.
GU H B, FAN H P, XIE Y T, et al.Prospect of global renewable energy development opportunities under the background of double carbon[J]. International project contracting & labour service, 2022(9): 22-25.
[2] 周天舒, 迟东训, 艾明晔. 碳背景下可再生能源面临的挑战及对策建议[J]. 宏观经济管理, 2022(7): 59-65.
ZHOU T S, CHI D X, AI M Y.Challenges and countermeasures of renewable energy under the background of carbon[J]. Macro economic management, 2022(7): 59-65.
[3] 李政, 陈思源, 董文娟, 等. 碳约束条件下电力行业低碳转型路径研究[J]. 中国电机工程学报, 2021, 41(12): 3987-4001.
LI Z, CHEN S Y, DONG W J, et al.Low carbon transition pathway of power sector under carbon emission constraints[J]. Proceedings of the CSEE, 2021, 41(12): 3987-4001.
[4] 骆钊, 刘德文, 沈鑫, 等. 综合能源系统优化运行技术研究综述[J]. 电力建设, 2022, 43(12): 3-14.
LUO Z, LIU D W, SHEN X, et al.Summary of research on optimal operation technology of integrated energy system[J]. Electric power construction, 2022, 43(12): 3-14.
[5] 王永真, 康利改, 张靖, 等. 综合能源系统的发展历程、典型形态及未来趋势[J]. 太阳能学报, 2021, 42(8): 84-95.
WANG Y Z, KANG L G, ZHANG J, et al.Development history, typical form and future trend of integrated energy system[J]. Acta energies solaris sinica, 2021, 42(8): 84-95.
[6] 黎静华, 骆怡辰, 杨舒惠, 等. 可再生能源电力不确定性预测方法综述[J]. 高电压技术, 2021, 47(4): 1144-1157.
LI J H, LUO Y C, YANG S H, et al.Review of uncertainty forecasting methods for renewable energy power[J]. High voltage engineering, 2021, 47(4): 1144-1157.
[7] 吕海鹏, 希望·阿不都瓦依提, 孟令鹏. 计及源-荷预测不确定性的微电网双级随机优化调度[J]. 电力自动化设备, 2022, 42(09): 70-78.
LYU H P, XIWANG A, MENG L P.Two-level stochastic optimal scheduling of microgrid considering uncertainty of source-load prediction[J]. Electric power automation equipment, 2022, 42(9): 70-78.
[8] LI Y, WANG B, YANG Z, et al.Optimal scheduling of integrated demand response-enabled community-integrated energy systems in uncertain environments[J]. IEEE transactions on industry applications, 2021, 58(2): 2640-2651.
[9] LI Y, HAN M, SHAHIDEHPOUR M, et al.Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response[J]. Applied energy, 2023, 335: 120749.
[10] 郑诗程, 许浩, 郎佳红, 等. 计及光伏不确定性的多区域综合能源系统多场景分布鲁棒优化调度[J]. 太阳能学报, 2024, 45(3): 460-469.
ZHENG S C, XU H, LANG J H, et al.Multi-scenario distributed robust optimal scheduling of multi-area integrated energy systems considering photovoltaic uncertainty[J]. Acta energies solaris sinica, 2024, 45(3): 460-469.
[11] ZHOU X F, CAI C Y, LI Y J, et al.A robust optimization model for demand response management with source-grid-load collaboration to consume wind-power[J]. Global energy interconnection, 2023, 6(6): 738-750.
[12] 吴江, 王晶晶, 张强, 等. 考虑电转气消纳风电的电-气综合能源系统两阶段鲁棒协同调度[J]. 太阳能学报, 2022, 43(2): 436-443.
WU J, WANG J J, ZHANG Q, et al.Two-stage robust coordinated scheduling of electricity-gas integrated energy system considering power-to-gas consumption of wind power[J]. Acta energies solaris sinica, 2022, 43(2): 436-443.
[13] 李成鑫, 刘凡, 汪颖, 等. 需求响应在电网规划中的研究现状与展望[J]. 供用电, 2016, 33(6): 73-76, 80.
LI C X, LIU F, WANG Y, et al.Research status and prospects of demand response in network planning[J]. Distribution & utilization, 2016, 33(6): 73-76, 80.
[14] 魏震波, 马新如, 郭毅, 等. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43(1): 1-9.
WEI Z B, MA X R, GUO Y, et al.Optimized operation of integrated energy system considering demand response under carbon trading mechanism[J]. Electric power construction, 2022, 43(1): 1-9.
[15] 李欣, 陈英彰, 李涵文, 等. 考虑碳交易的电-热综合能源系统两阶段鲁棒优化低碳经济调度[J]. 电力建设, 2024, 45(6): 58-69.
LI X, CHEN Y Z, LI H W, et al.Two-stage robust optimization of low-carbon economic dispatch for electricity-heat integrated energy system considering carbon trading[J]. Electric power construction, 2024, 45(6): 58-69.
[16] 米阳, 付起欣, 赵海辉, 等. 考虑源荷多区间不确定集和综合需求响应的微能源网鲁棒优化调度[J]. 上海交通大学学报, 2024, 58(9): 1323-1333.
MI Y, FU Q X, ZHAO H H, et al.Robust optimal scheduling of micro energy network considering source-load multi-interval uncertainty set and comprehensive demand response[J]. Journal of shanghai jiaotong university, 2024, 58(9): 1323-1333.
[17] 熊小萍, 杨辉, 蔡义明. 考虑用户禀赋效应和环保意识不确定性的微电网鲁棒优化调度方法[J]. 中国电机工程学报, 2023, 43(21): 8260-8270.
XIONG X P, YANG H, CAI Y M.Robust optimal dispatch method of microgrid considering user endowment effect and environmental awareness uncertainty[J]. Proceedings of the CSEE, 2023, 43(21): 8260-8270.
[18] 杨辉. 考虑用户心理因素不确定性的综合能源系统优化调度[D]. 南宁: 广西大学, 2023.
YANG H.Optimal scheduling of integrated energy system considering the uncertainty of user psychological factors[D]. Nanning: Guangxi University, 2023.