2024 04 32-41
多能互补能源基地多目标多时间尺度优化调度研究
基金项目(Foundation):
国家重点研发计划课题“基于国产操作系统的主辅设备全景监控预警技术与多级协同的系统开发”（2021YFB2401005）
邮箱(Email):
DOI:
10.19929/j.cnki.nmgdljs.2024.0051
中文作者单位:
南京南瑞继保电气有限公司，南京 211102;南瑞集团有限公司，南京 211102
摘要(Abstract):
针对“风光火”一体化调度模式下的能源基地经济稳定运行与规模化新能源高效消纳问题，提出了一种融合多目标多时间尺度的多能互补优化调度模型，充分考虑能源基地不同运行工况下的优化侧重点，分别以新能源消纳最大、机组调峰成本最低、系统运行经济性最优为目标，在满足安全约束条件下利用分支切割法进行求解，并基于日前-日内多时间尺度协调调度架构实现计划的滚动修编，通过选取内蒙古某大型能源基地作为算例进行分析。结果表明，所提模型能够有效提升“风光火”协同发电能力，在保障能源基地安全稳定运行的同时促进新能源的高效消纳，提高系统运行经济性。
关键词(KeyWords):
沙戈荒能源基地;多能互补;优化调度;多目标;多时间尺度
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参考文献
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[17] 崔杨,张家瑞,仲悟之,等.考虑源-荷多时间尺度协调优化的大规模风电接入多源电力系统调度策略[J].电网技术,2021,45(5):1828-1837. CUI Yang, ZHANG Jiarui, ZHONG Wuzhi, et al. Scheduling Strategy of Wind Penetration Multi-source System Considering Multi-time Scale Source-load Coordination[J]. Power System Technology, 2021, 45(5):1828-1837.
[18] 陈玉敏.基于场景分析的源荷储多时间尺度协调调度研究[D].北京:华北电力大学,2020.
[19] 杜婷.风光水火储联合系统多时间尺度协调调度研究[D].北京:华北电力大学,2020.
[20] 卢芳,王晓梅,李勇钢,等.考虑多种储能的微能源网多时间尺度协同调度[J].现代电力,2019,36(5):39-46. LU Fang, WANG Xiaomei, LI Yonggang, et al. Multi-time Scale Coordinated Optimal Dispatch of Micro-energy Grid with Multi-energy Storage[J]. Modern Electric Power, 2019, 36(5):39-46.
[21] YE Lin, ZHANG Cihang, TANG Yong, et al. Hierarchical model predictive control strategy based on dynamic active power dispatch for wind power cluster integration[J]. IEEE Transactions on Power Systems, 2019, 34(6):4617-4629.
[22] 杨再丞,孙勇.基于空间简化和CNN-LSTM的区域风电功率日前网格预测方法[J].东北电力大学学报,2024,44(2):35-41. YANG Zaicheng, SUN Yong. Foreahead Grid Prediction of Regional Wind Power Based on Spatial Reduction and CNN-LSTM[J]. Journal of Northeast Dianli University (Natural Science Edition), 2024, 44(2):35-41.
[23] 蒋宇,陈星莺,余昆,等.考虑风电功率预测不确定性的日前发电计划鲁棒优化方法[J].电力系统自动化,2018,42(19):57-63, 183. JIANG Yu, CHEN Xingying, YU Kun, et al. Robust optimization method for day-ahead generation scheduling considering prediction uncertainty of wind power[J]. Automation of Electric Power Systems, 2018, 42(19):57-63, 183.
[24] L. Yang, Z. Li, T. Liu, et al. Optimal Schedule Strategy for Peak Shaving Based on the Coordinated Operation of Flexible Resources in Multi-Energy Microgrid[C]//20236th International Conference on Renewable Energy and Power Engineering (REPE). Beijing:IEEE, 2023.
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[27] ZHANG Mingguang, XU Weiqiang, ZHAO Wenyuan. Combined Optimal Dispatching of Wind-Light-Fire-Storage Considering Electricity Price Response and Uncertainty of Wind and Photovoltaic Power[J]. Energy Reports, 2023, 9(S1):790-798.
[2] 国家发展和改革委员会."十四五"可再生能源发展规划[R].北京:国家发展和改革委员会,2022.
[3] 刘楠,康俊杰,赵春阳.多能互补能源基地开发模式及综合效益提升方法[J].中国电机工程学报,2024,44(4):1339-1352. LIU Nan, KANG Junjie, ZHAO Chunyang. Development Model of Multi-energy Complementary Energy Base and Comprehensive Benefit Enhancement Method[J]. Proceedings of the CSEE, 2024, 44(4):1339-1352.
[4] 郭怿,明波,黄强,等.考虑输电功率平稳性的水-风-光-储多能互补日前鲁棒优化调度[J].电工技术学报,2023,38(9):2350-2363. GUO Yi, MING Bo, HUANG Qiang, et al. Day-Ahead Robust Optimal Scheduling of Hydro-Wind-PV-Storage Complementary System Considering the Steadiness of Power Delivery[J]. Transactions of China Electrotechnical Society, 2023, 38(9):2350-2363.
[5] 于佳,任建文,周明.基于机会约束规划的风-蓄联合动态经济调度[J].电网技术,2013,37(8):2116-2122. YU Jia, REN Jianwen, ZHOU Ming. A Chance-Constrained Programming Based Dynamic Economic Dispatch of Wind Farm and Pumped-Storage Power Station[J]. Power System Technology, 2013, 37(8):2116-2122.
[6] J. Li, B. Chai, S. Liu, et al. Optimization Model of Distributed Energy Supply System Based on Multi-Energy Complementarity[C]//12th International Conference on Renewable Power Generation (RPG 2023). Shanghai:The Institution of Engineering and Technology, 2023.
[7] Shi L, Yao L, Wang R. Modeling and Solutions of Coordinated Economic Dispatch with Wind-Hydro-Thermal Complex Power Source Structure[J]. IET Renewable Power Generation, 2016, 11(3):262-270.
[8] 赵书强,刘大正,谢宇琪,等.基于相关机会目标规划的风光储联合发电系统储能调度策略[J].电力系统自动化,2015,39(14):30-36,53. ZHAO Shuqiang, LIU Dazheng, XIE Yuqi, et al. Scheduling Strategy of Energy Storage in Wind-solar-battery Hybrid Power System Based on Dependent-chance Goal Programming[J]. Automation of Electric Power Systems, 2015, 39(14):30-36, 53.
[9] 王义民,刘世帆,李婷婷,等.雅砻江能源基地水风光互补短期调度运行模式对比研究[J].水利学报,2023,54(4):439-450. WANG Yimin, LIU Shifan, LI Tingting, et al. A comparative study on the short term operation modes of water-wind-solar energy complementary dispatching in Yalong River Energy Base[J]. Journal of Hydraulic Engineering, 2023, 54(4):439-450.
[10] 李炳阳,李新利,杨国田,等.风光火储联合供应火电厂厂用电系统优化调度[J].热力发电,2024,53(2):142-152. LI Bingyang, LI Xinli, YANG Guotian, et al. Optimized dispatching of wind-PV-thermal-storage for auxiliary power system of thermal power plant[J]. Thermal Power Generation, 2024, 53(2):142-152.
[11] 邹兰青.规模风电并网条件下火电机组深度调峰多角度经济性分析[D].北京:华北电力大学,2017.
[12] 龚泽儒,王晓娜,邹鹏,等.新型等离子体点火技术在火电灵活性中的应用分析[J].锅炉技术,2024,55(1):50-54. GONG Zeru, WANG Xiaona, ZOU Peng, et al. Application Analysis of New Plasma Ignition Technology in Thermal Power Flexibility[J]. Boiler Technology, 2024, 55(1):50-54.
[13] 殷光治,郭祯.基于改进型以热定电模式的CCHP系统最优运行方法研究[J].电器与能效管理技术,2023(6):23-32. YIN Guangzhi, GUO Zhen. Optimal Operation Method of CCHP System Based on Improved Following Thermal Load Mode[J]. Electrical&Energy Management Technology, 2023(6):23-32.
[14] 孙惠娟,宋煜钧,陈俐,等.计及备用风险性的新型电力系统源网协同安全经济调度[J].电力自动化设备,2024,44(4):135-142. SUN Huijuan, SONG Yujun, CHEN Li, et al. Source-grid coordination security and economic dispatching of new power system considering reserve risk[J]. Electric Power Automation Equipment, 2024, 44(4):135-142.
[15] Miguel Carrion, Jose M. Arroyo. A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem[J]. IEEE Trans on Power Systems:A Publication of the Power Engineering Society, 2006, 21(3):1371-1378.
[16] 叶林,张步昇,郭凯蕾,等.风火联合发电系统日前-日内两阶段协同优化调度[J/OL].中国电机工程学报,1-13[2024-06-25]. https://doi.org/10.13334/j.0258-8013.pcsee.232215. YE Lin, ZHANG Busheng, GUO Kailei, et al. Optimal Collaborative Dispatching of Wind-thermal Combined Power Generation System in the Day-ahead and Intra-day Stages[J/OL]. Proceedings of the CSEE, 1-13[2024-06-25]. https://doi.org/10.13334/j.0258-8013.pcsee.232215.
[17] 崔杨,张家瑞,仲悟之,等.考虑源-荷多时间尺度协调优化的大规模风电接入多源电力系统调度策略[J].电网技术,2021,45(5):1828-1837. CUI Yang, ZHANG Jiarui, ZHONG Wuzhi, et al. Scheduling Strategy of Wind Penetration Multi-source System Considering Multi-time Scale Source-load Coordination[J]. Power System Technology, 2021, 45(5):1828-1837.
[18] 陈玉敏.基于场景分析的源荷储多时间尺度协调调度研究[D].北京:华北电力大学,2020.
[19] 杜婷.风光水火储联合系统多时间尺度协调调度研究[D].北京:华北电力大学,2020.
[20] 卢芳,王晓梅,李勇钢,等.考虑多种储能的微能源网多时间尺度协同调度[J].现代电力,2019,36(5):39-46. LU Fang, WANG Xiaomei, LI Yonggang, et al. Multi-time Scale Coordinated Optimal Dispatch of Micro-energy Grid with Multi-energy Storage[J]. Modern Electric Power, 2019, 36(5):39-46.
[21] YE Lin, ZHANG Cihang, TANG Yong, et al. Hierarchical model predictive control strategy based on dynamic active power dispatch for wind power cluster integration[J]. IEEE Transactions on Power Systems, 2019, 34(6):4617-4629.
[22] 杨再丞,孙勇.基于空间简化和CNN-LSTM的区域风电功率日前网格预测方法[J].东北电力大学学报,2024,44(2):35-41. YANG Zaicheng, SUN Yong. Foreahead Grid Prediction of Regional Wind Power Based on Spatial Reduction and CNN-LSTM[J]. Journal of Northeast Dianli University (Natural Science Edition), 2024, 44(2):35-41.
[23] 蒋宇,陈星莺,余昆,等.考虑风电功率预测不确定性的日前发电计划鲁棒优化方法[J].电力系统自动化,2018,42(19):57-63, 183. JIANG Yu, CHEN Xingying, YU Kun, et al. Robust optimization method for day-ahead generation scheduling considering prediction uncertainty of wind power[J]. Automation of Electric Power Systems, 2018, 42(19):57-63, 183.
[24] L. Yang, Z. Li, T. Liu, et al. Optimal Schedule Strategy for Peak Shaving Based on the Coordinated Operation of Flexible Resources in Multi-Energy Microgrid[C]//20236th International Conference on Renewable Energy and Power Engineering (REPE). Beijing:IEEE, 2023.
[25] 曹辉,牟长兴,杨钰琪,等.多重不确定性下水风光多能互补长期优化调度方法[J/OL].人民长江,1-10[2024-07-19]. http://kns.cnki.net/kcms/detail/42.1202.tv.20240712.1541.006.html. CAO Hui, MU Changxing, YANG Yuqi, et al. A Long-Term Optimization Scheduling Method for Hydro-Wind-PV Multi Energy Complementary Systems Considering Multi Uncertainties[J/OL]. Yangtze River, 1-10[2024-07-19]. http://kns.cnki.net/kcms/detail/42.1202.tv.20240712.1541.006.html.
[26] 李雄威,王昕,顾佳伟,等.考虑火电深度调峰的风光火储系统日前优化调度[J].中国电力,2023,56(1):1-7,48. LI Xiongwei, WANG Xin, GU Jiawei, et al. Day-Ahead Optimal Dispatching of Wind-Solar-Thermal Power Storage System Considering Deep Peak Shaving of Thermal Power[J]. Electric Power, 2023, 56(1):1-7, 48.
[27] ZHANG Mingguang, XU Weiqiang, ZHAO Wenyuan. Combined Optimal Dispatching of Wind-Light-Fire-Storage Considering Electricity Price Response and Uncertainty of Wind and Photovoltaic Power[J]. Energy Reports, 2023, 9(S1):790-798.
基本信息:
DOI：10.19929/j.cnki.nmgdljs.2024.0051
中图分类号:
引用信息:
[1]黄源烽1,郝飞1,滕井玉1,2等.多能互补能源基地多目标多时间尺度优化调度研究[J],2024,42(04):32-41.DOI:10.19929/j.cnki.nmgdljs.2024.0051.
基金信息:
国家重点研发计划课题“基于国产操作系统的主辅设备全景监控预警技术与多级协同的系统开发”（2021YFB2401005）
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