计及多重不确定性的小型园区多能源系统优化调度方法

李鹏; 窦真兰; 吴和先; 张春雁; 贾沄; 佟泽莐

doi:10.19912/j.0254-0096.tynxb.2023-1891

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (3) : 214-224. DOI: 10.19912/j.0254-0096.tynxb.2023-1891

计及多重不确定性的小型园区多能源系统优化调度方法

李鹏¹, 窦真兰², 吴和先¹, 张春雁², 贾沄¹, 佟泽莐¹

作者信息 +

OPTIMAL SCHEDULING METHOD FOR SMALL-SCALE COMMUNITY MULTI-ENERGY SYSTEM CONSIDERING MULTIPLE UNCERTAINTIES

Li Peng¹, Dou Zhenlan², Wu Hexian¹, Zhang Chunyan², Jia Yun¹, Tong Zechen¹

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文章历史 +

摘要

为解决多能源舱集成的多能源系统中能源转换设备效率、源侧及荷侧存在不确定性的问题,提出一种计及多重不确定性的小型园区多能源系统优化调度方法。首先,分析多能源系统中存在的多重不确定性因素;在此基础上,针对能源转换设备效率不确定性采用设备变工况特性模型进行表征,针对源荷不确定性采用离散化场景进行表征;然后,基于范数模糊集构建两阶段分布鲁棒优化模型,并采用列与约束生成算法进行求解;最后,对上海某智慧园区进行算例分析以验证所提方法的正确性及有效性。

Abstract

In order to solve the problem of uncertainties in the efficiency of energy conversion equipment, source-side and load-side in multi-energy system integrated with multiple energy modules, this paper proposed an optimal scheduling method for small-scale community multi-energy system considering multiple uncertainties. Firstly, the multiple uncertainties existing in the multi-energy system are analysed. On this basis, the off-design performance model of equipment is used to characterize the uncertainties in the efficiency of the energy conversion equipment, and the discretization scenario is used to characterize the uncertainties in the source-load uncertainties; then, a two-stage distribution robust optimization model is constructed based on the paradigm fuzzy set, and the column and constraints generating algorithm is used to solve the problem; Finally, a case study of a smart community in Shanghai is carried out to verify the correctness and effectiveness of the proposed method.

导出引用

李鹏, 窦真兰, 吴和先, 张春雁, 贾沄, 佟泽莐. 计及多重不确定性的小型园区多能源系统优化调度方法[J]. 太阳能学报. 2025, 46(3): 214-224 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1891

Li Peng, Dou Zhenlan, Wu Hexian, Zhang Chunyan, Jia Yun, Tong Zechen. OPTIMAL SCHEDULING METHOD FOR SMALL-SCALE COMMUNITY MULTI-ENERGY SYSTEM CONSIDERING MULTIPLE UNCERTAINTIES[J]. Acta Energiae Solaris Sinica. 2025, 46(3): 214-224 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1891

中图分类号： TM721

参考文献

[1] 杨经纬, 张宁, 王毅, 等. 面向可再生能源消纳的多能源系统: 述评与展望[J]. 电力系统自动化, 2018, 42(4): 11-24.
YANG J W, ZHANG N, WANG Y, et al.Multi-energy system towards renewable energy accommodation: review and prospect[J]. Automation of electric power systems, 2018, 42(4): 11-24.
[2] 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 energiae solaris sinica, 2021, 42(8): 84-95.
[3] 徐澄莹, 朱旭, 窦真兰, 等. 基于数据驱动鲁棒优化的用户侧综合能源舱低碳规划[J]. 电力建设, 2022, 43(12): 27-36.
XU C Y, ZHU X, DOU Z L, et al.Research on low carbon planning based on data driven robust optimization for user-side integrated energy module[J]. Electric power construction, 2022, 43(12): 27-36.
[4] 王伟亮, 王丹, 贾宏杰, 等. 能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J]. 中国电机工程学报, 2016, 36(12): 3292-3306.
WANG W L, WANG D, JIA H J, et al.Review of steady-state analysis of typical regional integrated energy system under the background of energy internet[J]. Proceedings of the CSEE, 2016, 36(12): 3292-3306.
[5] 崔杨, 郭福音, 仲悟之, 等. 多重不确定性环境下的综合能源系统区间多目标优化调度[J]. 电网技术, 2022, 46(8): 2964-2975.
CUI Y, GUO F Y, ZHONG W Z, et al.Interval multi-objective optimal dispatch of integrated energy system under multiple uncertainty environment[J]. Power system technology, 2022, 46(8): 2964-2975.
[6] 李建林, 田立亭, 程林, 等. 考虑变工况特性的微能源系统优化规划 (一)基本模型和分析[J]. 电力系统自动化, 2018, 42(19): 18-26, 49.
LI J L, TIAN L T, CHENG L, et al.Optimal planning of micro-energy system considering off-design performance part one general model and analysis[J]. Automation of electric power systems, 2018, 42(19): 18-26, 49.
[7] 陈晚晴, 穆云飞, 贾宏杰, 等. 考虑设备变工况特性的区域综合能源系统优化调度方法[J]. 电网技术, 2021, 45(3): 951-958.
CHEN W Q, MU Y F, JIA H J, et al.Operation optimization method for regional integrated energy system considering part-load performances of devices[J]. Power system technology, 2021, 45(3): 951-958.
[8] 李云鸷, 刘吉臻, 马素玲, 等. 基于变工况模型的综合能源系统源-荷互动多目标优化调度[J]. 电网技术, 2022, 46(7): 2472-2485.
LI Y Z, LIU J Z, MA S L, et al.Source-load interactive multi-objective optimal dispatching of integrated energy system based on off-design model[J]. Power system technology, 2022, 46(7): 2472-2485.
[9] 李鹏, 王加浩, 王子轩, 等. 基于多元能量供需-成本映射分析的园区综合能源系统协同优化运行方法[J]. 中国电机工程学报, 2023, 43(11): 4307-4319.
LI P, WANG J H, WANG Z X, et al.Collaborative optimal scheduling of the community integrated energy system based on multi-energy supply/demand-cost mapping analysis[J]. Proceedings of the CSEE, 2023, 43(11): 4307-4319.
[10] SOROUDI A, RABIEE A, KEANE A.Stochastic real-time scheduling of wind-thermal generation units in an electric utility[J]. IEEE systems journal, 2017, 11(3): 1622-1631.
[11] 马明, 刘涌. 计及住宅混合能源需求响应的含风电系统随机优化调度[J]. 太阳能学报, 2022, 43(1): 11-20.
MA M, LIU Y.Stochastic optimal dispatch of power system with wind power considering demand response of residential ahybrid energy system[J]. Acta energiae solaris sinica, 2022, 43(1): 11-20.
[12] 马丽叶, 刘美思, 尹钰, 等. 主动配电网中多微网鲁棒环境经济调度研究[J]. 太阳能学报, 2020, 41(11): 1-10.
MA L Y, LIU M S, YIN Y, et al.Robust environment economic scheduling of multimicrogrids in active distribution network[J]. Acta energiae solaris sinica, 2020, 41(11): 1-10.
[13] LI J, LI Z Y, LIU F, et al.Robust coordinated transmission and generation expansion planning considering ramping requirements and construction periods[J]. IEEE transactions on power systems, 2018, 33(1): 268-280.
[14] 骆钊, 黎博文, 毕贵红, 等. 含CCUS和P2G的综合能源系统分布式鲁棒优化调度[J]. 高电压技术, 2024, 50(08): 3486-3499.
LUO Z, LI B W, BI G H, et al.Distributed robust optimal scheduling of integrated energy system with CCUS and P2G[J]. High voltage engineering, 2024, 50(8): 3486-3499.
[15] 张世旭, 苗世洪, 杨炜晨, 等. 基于自适应步长ADMM的配电网分布式鲁棒优化调度策略[J]. 高电压技术, 2021, 47(1): 81-93.
ZHANG S X, MIAO S H, YANG W C, et al.Distributed robust optimal dispatch for active distribution networks based on alternative direction method of multipliers with dynamic step size[J]. High voltage engineering, 2021, 47(1): 81-93.
[16] 李旭霞, 张琳娜, 郑晓明, 等. 基于KL散度的储能电站分布鲁棒规划方法[J]. 太阳能学报, 2022, 43(4): 46-55.
LI X X, ZHANG L N, ZHENG X M, et al.KL divergence-based distributionally robust planning method for energy storage plants[J]. Acta energiae solaris sinica, 2022, 43(4): 46-55.
[17] 税月, 刘俊勇, 高红均, 等. 考虑风电不确定性的电气能源系统两阶段分布鲁棒协同调度[J]. 电力系统自动化, 2018, 42(13): 43-50, 75.
SHUI Y, LIU J Y, GAO H J, et al.Two-stage distributed robust cooperative dispatch for integrated electricity and natural gas energy systems considering uncertainty of wind power[J]. Automation of electric power systems, 2018, 42(13): 43-50, 75.
[18] 高晓松, 李更丰, 肖遥, 等. 基于分布鲁棒优化的电-气-热综合能源系统日前经济调度[J]. 电网技术, 2020, 44(6): 2245-2254.
GAO X S, LI G F, XIAO Y, et al.Day-ahead economical dispatch of electricity-gas-heat integrated energy system based on distributionally robust optimization[J]. Power system technology, 2020, 44(6): 2245-2254.
[19] HUANG W J, ZHANG N, WANG Y, et al.Matrix modeling of energy hub with variable energy efficiencies[J]. International journal of electrical power & energy systems, 2020, 119: 105876.
[20] 荆朝霞, 袁灼新, 胡荣兴, 等. 供能设备模型对冷热电联供微网系统经济调度的影响[J]. 南方电网技术, 2016, 10(8): 32-39.
JING Z X, YUAN Z X, HU R X, et al.Effect of component models on economic dispatch of CCHP-type microgrid[J]. Southern power system technology, 2016, 10(8): 32-39.
[21] 税月, 刘俊勇, 高红均, 等. 考虑风电不确定性的电热综合系统分布鲁棒协调优化调度模型[J]. 中国电机工程学报, 2018, 38(24): 7235-7247, 7450.
SHUI Y, LIU J Y, GAO H J, et al.A distributionally robust coordinated dispatch model for integrated electricity and heating systems considering uncertainty of wind power[J]. Proceedings of the CSEE, 2018, 38(24): 7235-7247, 7450.