涂强,范宏,王宏祥

• 1:上海电力大学电气工程学院
• 2:国网山东省电力公司济宁供电公司

摘要(Abstract)：

【目的】分布式综合能源系统(distributed integrated energy system, DIES)的建设能够有效提高能源利用效率，对促进能源可持续发展具有重要意义。【方法】提出一种分布式协调两级优化框架来解决DIES最佳运行决策和能源调度。首先，建立了含多个主体的DIES架构，并提出了分布式两级优化策略；其次将多主体DIES优化问题分解为上下两层，每层被视为具有单独目标函数的独立系统，能源能够在多个地区之间直接交易；然后采用基于教学优化(teaching-learning-based optimization, TLBO)算法解决多层次优化问题，使得每个独立主体根据其自身的利润优化其能源调度。【结果】结果显示：在所提出的分布式两级优化框架下，考虑不同主体间的能源交易，使主体1、2和3的运行成本分别降低了约7.00%、11.63%和8.65%,主体1、2和3的天然气购买量分别降低了约8.36%、3.03%和8.47%,各主体的总碳排放成本降低了约15.73%。【结论】结果表明：通过不同主体间的能源交互方式，使得互联主体从当地能源贸易中获益，总运行成本降低了约12.07%、碳排放总成本降低了约15.73%,促进了系统运行的经济性，而且对于各主体系统运行的灵活性和低碳性都是有益的。

关键词(KeyWords)： 分布式综合能源系统;分布式两级优化策略;多主体;能源交易;基于教学优化算法

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划资助项目(2022YFA1004600)

作者(Author): 涂强,范宏,王宏祥

DOI: 10.13928/j.cnki.wrahe.2023.11.003

参考文献(References)：

• [1] 李浩然.分布式综合能源系统的一体化设计方法研究[D].济南：山东大学，2022.LI Haoran.Research on the integrated design method of distributed integrated energy system[D].Jinan Shandong University,2022.
• [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 Yongzhen,KANG Ligai,ZHANG Jing,et al.Development history typical forms and future trends of integrated energy systems[J].Journal of Solar Energy,2021,42(8):84-95.
• [3] 李肇桀，张旺，姜斌，等.利用调水储能促进碳达峰碳中和目标实现的建议[J].水利发展研究，2021,21(12):17-18.LI Zhaojie,ZHANG Wang,JIANG Bin,et al.Suggestions for using water diversion and energy storage to promote carbon peaking and carbon neutrality [J].Water Resources Development Research,2021,21(12):17-18.
• [4] LI Peng,WANG Zixuan,WANG Jiahao,et al.A multi-time-space scale optimal operation strategy for a distributed integrated energy system[J].Applied Energy,2021,289.
• [5] 孙亮，李佳雯，杨心贺，等.含相变储能的冷热电联供型微网多目标优化配置[J].电力自动化设备，2021,41(10):60-66.SUN Liang,LI Jiawen,YANG Xinhe,et al.Multi-objective optimal configuration of combined cooling,heating and power microgrid with phase change material energy storage[J].Electric Power Automation Equipment,2021,41(10):60-66.
• [6] CHENG S,WANG R,XU J Y,et al.Multi-time scale coordinated optimization of an energy hub in the integrated energy system with multi-type energy storage systems[J].Sustainable Energy Technologies and Assessments,2021,47(22):101327.
• [7] 高军伟，陈泽雄，郑欣，等.含光伏的冷热电联供园区微网多类型储能协调鲁棒优化配置[J].电力科学与技术学报，2021,36(6):56-66.GAO Junwei,CHEN Zexiong,DENG Xin,et al.Coordinated robust optimal allocation of multiple types energy storage devices in the CCHP campus microgrid with photovoltaic[J].Journal of Electric Power Science and Technology,2021,36(6):56-66.
• [8] 陈乾，张沈习，程浩忠，等.计及热网蓄热特性的多区域综合能源系统多元储能规划[J].中国电机工程学报，2023,43(15):5890-5903.CHEN Qan,ZHANG Shenxi,CHENG Haozhong,et al.Multiple energy storage planning of multi-district integrated energy system considering heat storage characteristics of heat network[J].2023,43(15):5890-5893.
• [9] 周伟，孙永辉，谢东亮，等.计及改进阶梯型碳交易和热电联产机组灵活输出的园区综合能源系统低碳调度[J/OL].电网技术，1-12[2023-04-11].DOI:10.13335/j.1000-3673.pst.2023.0141.
• [10] ZHOU Wei,SUN Yonghui,XIE Dongliang,et al.Low-carbon dispatch of park-level integrated energy system considering the improved ladder-type carbon trading and flexible output of combined heat and power unit[J/OL].Power System Technology:1-12[2023-04-11].DOI:10.13335/j.1000-3673.pst.2023.0141.
• [11] ZHANG Wei,XU Yinliang.Distributed optimal control for multiple microgrids in a distribution network[J].IEEE Transactions on Smart Grid,2019,10(4):3765-3779.
• [12] XIE Min,JI Xiang,CHENG.Peijun,et.al.Autonomous optimized economic dispatch of active distribution system with multi-microgrids [J].Energy,2018,153:479-489.
• [13] 武梦景，万灿，宋永华，等.含多能微网群的主体电热综合能源系统分层自治优化调度[J].电力系统自动化，2021,45(12):20-29.WU Mengjing,WAN Can,SONG Yonghua,et al.Hierarchical autonomous optimal dispatching of district integrated heating and power system with multi-energy microgrids[J].Automation of Electric Power Systems,2021,45(12):20-29.
• [14] 周丽红，于浩，李鹏.考虑居民热负荷主动需求响应的园区综合能源系统分布式优化运行方法[J].电网技术，2023,47(5):1989-2000.ZHOU Lihong,YU Hao,LI Peng.Distributed optimal operation method of integrated energy system of campus considering active demand response of residential heat load[J].Power System Technology,2023,47(5):1989-2000.
• [15] 乔学博，杨志祥，李勇等.计及两级碳交易和需求响应的多微网合作运行优化策略[J].高电压技术，2022,48(7):2573-2583.QIAO Xuebo,YANG Zhixiang,LI Yong et al.Optimization strategy for cooperative operation of multi-microgrid with two levels of carbon trading and demand response[J].High Voltage Engineering,2022,48(7):2573-2583.
• [16] XU D.WU Q.ZHOU B,et al.Distributed multi-energy operation of coupled electricity,heating and natural gas networks[J].IEEE Transactions on Sustainable Energy,2019,11(4):2457-2469.
• [17] 王蓓蓓，亢丽君，苗曦云，等.考虑可信度的新能源及需求响应参与英美容量市场分析及思考[J].电网技术，2022,46(4):1233-1247.WANG Peipei,KANG Lijun,MIAO Xiyun,et al.New energy and demand response participation in UK and US capacity market analysis and thinking considering credibility[J].Power System Technology,2022,46(4):1233-1247.
• [18] JIANG Aihua,YUAN Huiohng,LI Delong.Energy management for a community-level integrated energy system with photovoltaic prosumers based on bargaining theory[J].Energy,2021,225:120272.
• [19] 李鹏，吴迪凡，李雨薇，等.基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略[J].中国电机工程学报，2021,41(4):1307-1321.LI Peng,WU Difan,LI Yu wei,et al.Optimal dispatch of multi-microgrids integrated energy system based on integrated demand response and Stackelberg game[J].Proceedings of the CSEE,2021,41(4):1307-1321.
• [20] 赵翠，孙付增，宋家骏，等.智慧农饮系统中算法模型的应用[J].水利发展研究，2022,22(5):103-108.ZHAO Cui,SUN Fuzeng,SONG Jiajun,et al.Application of algorithm models in intelligent agricultural drink systems[J].Water Resources Development Research,2022,22(5):103-108.
• [21] SUN G Q,CHEN S,WEI Z,et al.Multi-period integrated natural gas and electric power system probabilistic optimal power-flow incorporating power-to-gas units[J].Journal of Modern Power System and Clean Energy,2017(3):120-131.
• [22] 魏震波，郭毅，魏平桉等.考虑传输线重构的电气综合能源系统分布鲁棒扩展规划模型[J].电力自动化设备，2021,41(2):16-23.WEI Zhenbo,GUO Yi,WEI Pingan,et al.Robust extended planning model for distribution of electrical integrated energy system considering transmission line reconstruction[J].Electric Power Automation Equipment,2021,41(2):16-23.
• [23] 徐卫君，张伟，胡宇涛，等.先进绝热压缩空气储能多能流优化调度模型[J].电工技术学报，2022,37(23):5944-5955.XU Weijun,ZHANG Wei,HU Yutao,et al.Advanced adiabatic compressed air energy storage multi-energy flow optimization scheduling model[J].Transactions of China Electrotechnical Society,2022,37(23):5944-5955.
• [24] COELHO A,NEYESTANI N,SOARES F,et al.Wind variability mitigation using multi-energy systems[J].International Journal of Electrical Power and Energy Systems,2020.DOI:10.1016/j.ijepes.2019.105755.
• [25] 赵燚，史学伟，王莉斌，等.一种规模化电池储能电站功率分配策略[J].电网技术，2022,46(12):5004-5012.ZHAO Yan,SHI Xuewei,WANG Libin et al.A power distribution strategy for large-scale battery energy storage power stations[J]Power System Technology,2022,46(12):5004-5012.
• [26] MEDINA M A,COELLO C.Reactive power handling by a multi-objective teaching learning optimizer based on decomposition[J].IEEE Transactions on Power Systems,2013.DOI:10.1109/TPWRS.2013.2272196.