基于阶梯绿证与源荷双重响应的HIES优化调度模型

徐慧慧; 柴宜; 赵宇洋; 田云飞; 卢佳富; 梁宁

基于阶梯绿证与源荷双重响应的HIES优化调度模型

1. 国网甘肃经济技术研究院;
2. 昆明理工大学电力工程学院

基金项目:

国家自然科学基金资助项目(52167010)

国家电网有限公司科技项目(W24FZ2730049,52273023010C)~~

详细信息

作者简介:
徐慧慧(1989),女,河南商丘人,硕士,高级工程师,主要研究方向为电力系统运行与低碳技术

通讯作者:
梁宁(1985),男,河南商丘人,博士,副教授,硕士生导师,主要研究方向为电力系统优化调度

中图分类号: TM73;TK01
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出版历程
- 收稿日期: 2024-05-29
- 刊出日期: 2024-08-19

Optimal Scheduling Model of Hydrogen-containing Integrated Energy System Based on Step Green Card ＆ Source-load Dual Response

1. State Grid Gansu Electric Power Economic & Technology Research Institute;
2. Faculty of Electric Power Engineering,Kunming University of Science and Technology

摘要

摘要: 含氢综合能源系统（HIES）是未来能源体系的重要发展方向。为进一步提升HIES的低碳性及经济性，建立基于阶梯绿证与源荷双重响应的HIES优化调度模型。首先，借鉴阶梯碳交易机制（CTM）的作用机理，引入补偿因子和惩罚因子设计阶梯绿证交易机制；其次，在传统需求响应的基础上建立源荷双重响应模型，实现供需两侧灵活响应；最后，以总成本最小为优化目标建立HIES优化调度模型。案例分析表明，所提模型在提高HIES运行经济性的同时可降低碳排放。
- 阶梯绿证交易机制 /
- 源荷双重响应 /
- HIES /
- 优化调度 /
- CCS-P2G
Abstract: Hydrogen-containing integrated energy system（HIES）is an important development direction of future energy system. In order to further improve the low carbon and economy of HIES,an optimal scheduling model of HIES based on step green card and source-load dual response is established. Firstly,based on the mechanism of the tiered carbon trading mechanism（CTM）,the compensation factor and the penalty factor are introduced to design the tiered green certificate trading mechanism. Secondly,based on the traditional demand response,a source-load dual response model is established to achieve flexible response on both supply and demand sides. Finally,the HIES optimal scheduling model is established with the minimum total cost as the optimization objective. The case analysis shows that the proposed model can reduce carbon emissions while improving the economy of HIES operation.
- stepped green certificate trading mechanism /
- source-load dual response /
- HIES /
- optimal scheduling /
- CCS-P2G

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参考文献(28)

[1]	童光毅.基于双碳目标的智慧能源体系构建[J].智慧电力,2021,49(5):1-6. TONG Guangyi.Construction of smart energy system based on dual carbon target[J].Smart Power,2021,49(5):1-6.
[2]	何玉朝,郭枫,钱辉敏,等.微电网源网荷储分布鲁棒优化调度方法研究[J].电子设计工程,2023,31(17):123-127. HE Yuchao,GUO Feng,QIAN Huimin,et al. Research on robust optimal scheduling method for microgrid source-grid-load-storage distribution[J].Electronic Design Engineering,2023,31(17):123-127.
[3]	郑云平,亚夏尔·吐尔洪.基于VSG技术的风—光—储系统自适应调频控制策略研究[J].高压电器,2023,59(7):12-19. ZHENG Yunping, YASHAR Turhong.Research on adaptive frequency modulation control strategy of wind-PV-storage system based on VSG technology[J].High Voltage Apparatus,2023,59(7):12-19.
[4]	高玉,王琦,陈严,等.考虑需求响应和能量梯级利用的含氢综合能源系统优化调度[J].电力系统自动化,2023,47(4):51-59. GAO Yu,WANG Qi,CHEN Yan,et al.Optimal dispatch of integrated energy system with hydrogen considering demand response and cascade energy utilization[J].Automation of Electric Power Systems,2023,47(4):51-59.
[5]	周任军,吴燕榕,潘轩,等.考虑电热需求响应的区域综合能源系统储能容量优化配置[J].电力科学与技术学报,2023,38(1):11-17. ZHOU Renjun,WU Yanrong,PAN Xuan,et al. Optimal configuration of energy storage capacity of regional integrated energy system considering electrothermal demand response[J].Journal of Electric Power Science and Technology,2023,38(1):11-17.
[6]	范宏,袁宏道.区域综合能源系统供需双侧多能博弈互动策略[J].电测与仪表,2023,60(12):20-26. FAN Hong,YUAN Hongdao.Interactive strategy of bilateral multienergy game between supply and demand of regional integrated energy system[J].Electric Measurement&Instrumentation,2023,60(12):20-26.
[7]	郑云平,焦春雷,亚夏尔·吐尔洪,等.基于新能源发电的构网型协调储能控制策略研究[J].高压电器,2023,59(7):65-74. ZHENG Yunping,JIAO Chunlei,YASHAR Turhong,et al.Research on grid-structured coordinated energy storage control strategy based on new energy power generation[J].High Voltage Apparatus,2023,59(7):65-74.
[8]	樊伟杰,崔双喜,邱红桦.计及P2G-CCS和柔性负荷的综合能源系统低碳经济调度[J].现代电子技术,2023,46(5):132-138. FAN Weijie,CUI Shuangxi,QIU Honghua. Low-carbon economic dispatch of integrated energy system considering P2G-CCS and flexible load[J].Modern Electronic Technology,2023,46(5):132-138.
[9]	陈志,胡志坚,翁菖宏,等.基于阶梯碳交易机制的园区综合能源系统多阶段规划[J].电力自动化设备,2021,41(9):148-155. CHEN Zhi,HU Zhijian,WENG Changhong,et al.Multi-stage planning of park-level integrated energy system based on laddertype carbon trading mechanism[J].Electric Power Automation Equipment,2021,41(9):148-155.
[10]	王金锋,于广亮,姜炎君,等.基于阶梯碳交易的多微网电能合作运行优化策略[J].电网与清洁能源,2023,39(11):28-39. WANG Jinfeng,YU Guangliang,JIANG Yanjun,et al. An optimization strategy for multi-microgrid power cooperative operation based on stepped carbon trading[J]. Power system and Clean Energy,2023,39(11):28-39.
[11]	GUO H Y,CHEN Q X,XIA Q,et al.Modeling strategic behaviors of renewable energy with joint consideration on energy and tradable green certificate markets[J].IEEE Transactions on Power Systems,2020,35(3):1898-1910.
[12]	梁泽琪,周云,冯冬涵,等.考虑电碳绿证市场耦合的园区综合能源系统日前优化调度[J].电力建设,2023,44(12):43-53. LIANG Zeqi,ZHOU Yun,FENG Donghan,et al.Day-ahead optimal scheduling of integrated energy system in the park considering the coupling of electric carbon green certificate market[J]. Electric Power Construction,2023,44(12):43-53.
[13]	魏震波,杨超,李银江.参与多元耦合市场的电-气综合能源系统低碳经济调度[J].智慧电力,2023,51(5):8-14,22. WEI Zhenbo,YANG Chao,LI Yinjiang. Low-carbon economic dispatch of electricity-gas integrated energy system participating in multi-coupling market[J].Smart Power,2023,51(5):8-14,22.
[14]	WANG S,WANG S,ZHAO Q,et al.Optimal dispatch of integrated energy station considering carbon capture and hydrogen demand[J].Energy,2023,269:126981.
[15]	ZHANG X,BAI Y,ZHANG Y.Collaborative optimization for a multi-energy system considering carbon capture system and power to gas technology[J].Sustainable Energy Technologies and Assessments,2022,49:101765.
[16]	李欣,李涵文,陈德秋,等.储液式CCS耦合P2G的综合能源系统低碳经济调度[J].电力系统及其自动化学报,2024,36(5):105-113. LI Xin,LI Hanwen,CHEN Deqiu,et al.Low-carbon economic dispatch of integrated energy system based on liquid storage CCS coupled with P2G[J].Journal of Power System and Automation,2024,36(5):105-113.
[17]	BAI Y,ZHANG Y,ZHANG X,et al.Business model and supporting policies for projects to implement carbon capture and power-togas technologies[J].Science of The Total Environment,2023,888:164150.
[18]	杨建宾,谢丽蓉,宋新甫,等.基于可再生能源的碳捕集-电转气协同运行方法[J].智慧电力,2022,50(12):70-78. YANG Jianbin,XIE Lirong,SONG Xinfu,et al.Renewable energy based carbon capture-ele-ctricity-to-gas coordinated operation method[J].Smart Power,2022,50(12):70-78.
[19]	严中华,王建功,朱英刚,等.考虑碳排放流理论的风-碳捕集-电转气联合新型中长期调度方式[J].智慧电力,2022,50(6):14-21. YAN Zhonghua,WANG Jiangong,ZHU Yinggang,et al.Windcarbon capture-electricity-to-gas joint new medium and longterm scheduling method considering carbon emission flow theory[J].Smart Power,2022,50(6):14-21.
[20]	HE L,LU Z,GENG L,et al.Environmental economic dispatch of integrated regional energy system considering integrated demand response[J]. International Journal of Electrical Power&Energy Systems,2020,116:105525.
[21]	ZHANG M L,WU Q W,WEN J Y,et al. Two-stage stochastic optimal operation of integrated electricity and heat system considering reserve of flexible devices and spatial-temporal correlation of wind power[J].Applied Energy,2020,275:115357.
[22]	蔡颖凯,张冶,曹世龙,等.面向综合需求响应的综合能源系统优化调度[J].电网与清洁能源,2022,38(9):65-72. CAI Yingkai,ZHANG Ye,CAO Shilong,et al.Optimal scheduling of integrated energy systems for integrated demand response[J].Power System and Clean Energy,2022,38(9):65-72.
[23]	WEN Y,LUO Y,DONG X,et al.Thermal and electrical demand response based on robust optimization[J].Electric Power Systems Research,2023,225:109883.
[24]	LI K,YE N,LI S,et al.Distributed collaborative operation strategies in multiagent integrated energy system considering integrated demand response based on game theory[J].Energy,2023,273:127137.
[25]	王仕炬,刘天琪,何川,等.基于舒适度的需求响应与碳交易的园区综合能源经济调度[J].电测与仪表,2022,59(11):1-7. WANG Shiju,LIU Tianqi,HE Chuan,et al. Comprehensive energy economic dispatch of the park based on comfort demand response and carbon trading[J].Electric Measurement&Instrumentation,2022,59(11):1-7.
[26]	陈锦鹏,胡志坚,陈嘉滨,等.考虑阶梯式碳交易与供需灵活双响应的综合能源系统优化调度[J].高电压技术,2021,47(9):3094-3106. CHEN Jinpeng,HU Zhijian,CHEN Jiabin,et al. Optimal dispatch of integrated energy system considering lader-type carbon trading and flexible double response of supply and demand[J].High Voltage Engineering,2021,47(9):3094-3106.
[27]	LIN J,CAI R.Optimal planning for industrial park-integrated energy system with hydrogen energy industry chain[J].International Journal of Hydrogen Energy,2023,48(50):19046-19059.
[28]	陈鸿琳,刘新苗,余浩,等.基于近似动态规划的海上风电制氢微网实时能量管理策略[J].电力建设,2022,43(12):94-102. CHEN Honglin,LIU Xinmiao,YU Hao,et al.Realtime energy management strategy for offshore wind power hydrogen production microgrid based on approximate dynamic programming[J]. Electric Power Construction,2022,43(12):94-102.