计及精细化氢能利用的综合能源系统多时间尺度鲁棒优化策略

doi:10.19595/j.cnki.1000-6753.tces.222335

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (704 KB)
输出: BibTeX | EndNote (RIS)

摘要

能源结构改革背景下,构建以氢能驱动,电-热为主体的综合能源系统(HEH-IES)具有重要意义。为提高含电氢耦合单元的IES运行灵活性,同时减小功率波动对系统的影响,提出含多元储能与综合需求响应的氢能精细化利用两阶段调度方法。首先,分析电制氢（P2H）两阶段运行过程与电氢耦合单元运行特性,对氢能的用能过程与设备进行精细化建模。其次,计及多元储能与综合需求响应提出了日前-日内两阶段多时间尺度优化策略。日前阶段充分考虑能源系统不确定性,构建数据驱动的分布鲁棒优化(DRO)模型。日内阶段遵从日前计划,考虑多能流在灵活性调节时间尺度上的差异,通过多时间尺度的滚动优化降低功率波动的影响。最后,仿真算例证明了所提模型与策略对提升IES的运行灵活性具有积极作用。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	胡俊杰
	童宇轩
	刘雪涛
	王剑晓
	徐衍会

关键词 ：综合能源系统, 氢能, 变载启停特性, 分布鲁棒优化, 灵活性, 多时间尺度

Abstract：

The local flexibility of the high percentage of new energy power system is seriously insufficient, and it is urgent to establish a new energy structure system that is clean, efficient and flexible. Hydrogen energy as a secondary energy source with diverse and efficient conversion forms. Refined modeling of hydrogen energy utilization is a key issue to study the flexibility value of electric-hydrogen coupled units. At the same time, the energy system has uncertainty and fluctuating variability on multiple time scales, and the existing studies are too adventurous or conservative in considering the uncertainty at the day-ahead stage. In response to the above problems, a robust optimization strategy is proposed for the multi-timescale distribution of the integrated energy system taking into account the refined hydrogen energy utilization.
Firstly, the two-stage operation process of P2H is considered, and the refinement modeling of hydrogen energy use process and equipment is carried out by taking into account the operating characteristics of electrolyzer, hydrogen fuel cell and other equipment. The operating states of PEM are divided into shutdown, cold standby, overload, variable load and low load states, and a mixed integer linear mathematical model of the electrolyzer with variable load start-stop characteristics is established, taking into account the loss of hydrogen output during the cold start of PEM. In order to improve the operational flexibility of the cogeneration unit, the adjustable thermoelectric ratio of CHP and HFC is considered to decouple the thermoelectric linkage, and an adjustable thermoelectric ratio heat model of the cogeneration unit is established. Secondly, to reduce the power fluctuation caused by the deviation of wind power and multi-energy load forecasts in the day-ahead and intra-day, a two-stage optimization model of day-ahead scheduling and intra-day rolling is established. In the day-ahead stage, a data-driven distribution robust optimization model is established, and the probability distribution is constrained by the composite norm to adjust the conservativeness of the model; in the intra-day stage, the differences in the time scales of flexibility regulation of multi-energy flows are considered, and the impact of power fluctuations is reduced by rolling optimization on multiple time scales.
In the case simulation, five scenarios are set up for comparative analysis in the day-ahead phase, and the proposed multi-timescale model is compared with day-ahead programming (DA-P) in the intra-day phase, and the conservativeness of the data-driven DRO model is investigated, leading to the following conclusions：1) The intermediate energy ladder losses are avoided after refining the two-stage operation process of P2H. The efficiency and flexibility of hydrogen energy utilization are fully exploited, and the comprehensive energy utilization of IES is significantly improved. 2) The proposed PEM mixed integer linear model and adjustable cogeneration model can adjust the equipment output in real time according to the load, which promotes the wind power consumption and improves the operating economy. 3) The data-driven DRO model proposed in the day-ahead stage fully takes into account the uncertainty of the energy system based on historical data samples, and its conservativeness is influenced by the number of reduction scenarios and sample size. It has a better ability to resist the fluctuation of uncertainty forecast error in the intra-day correction phase. 4) The intra-day phase takes into account the differences in the forecast characteristics of different energy sources, and smoothes out power fluctuations by regulating different energy coupling devices on a sub-time scale, effectively reducing wind power volatility and operating costs.

Key words： Integrated energy systems hydrogen energy variable load start-stop characteristic distributionally robust optimization flexibility multi-time-scale

收稿日期: 2022-12-21

PACS:

TM73

基金资助:

国家重点研发计划资助项目（2021YFB4000104）

通讯作者: 胡俊杰男,1986年生,副教授,博士生导师,研究方向为新能源电力系统及微网。E-mail：junjiehu@ncepu.edu.cn

作者简介: 童宇轩男,1998年生,硕士研究生,研究方向为综合能源系统与微网优化运行。E-mail：120212201575@ncepu.edu.cn

引用本文:

胡俊杰, 童宇轩, 刘雪涛, 王剑晓, 徐衍会. 计及精细化氢能利用的综合能源系统多时间尺度鲁棒优化策略[J]. 电工技术学报, 0, (): 135-135. HU Junjie, TONG Yuxuan, LIU Xuetao, WANG Jianxiao, XU Yanhui. Multi-time-scale Robust Optimization Strategy for Integrated Energy System Considering the Refinement of Hydrogen Energy use. Transactions of China Electrotechnical Society, 0, (): 135-135.

链接本文:

https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.222335 https://dgjsxb.ces-transaction.com/CN/Y0/V/I/135

[1] 葛苏南. 电能替代与综合能源服务加速融合[N]. 中国能源报,2022-04-18(021).
[1] 苏南. 电能替代与综合能源服务加速融合[N]. 中国能源报, 2022-04-18(21).[知网中文]
[2] 熊宇峰,司杨,郑天文,等.基于主从博弈的工业园区综合能源系统氢储能优化配置[J].电工技术学报,2021,36(03):507-516.
Xiong Yufeng, Si Yang, Zheng Tianwen, et al.Optimal Configuration of Hydrogen Storage in Industrial Park Integrated Energy System Based on Stackelberg Game[J]. Transactions of China Electrotechnical Society,2021,36(03):507-516.
[2] 熊宇峰, 司杨, 郑天文, 等. 基于主从博弈的工业园区综合能源系统氢储能优化配置[J]. 电工技术学报, 2021, 36(3): 507-516.
Xiong Yufeng, Si Yang, Zheng Tianwen, et al. Optimal configuration of hydrogen storage in industrial park integrated energy system based on stackelberg game[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 507-516.[知网中文][知网英文]
[3] 陈瑜玮,孙宏斌,郭庆来.综合能源系统分析的统一能路理论(五):电-热-气耦合系统优化调度[J].中国电机工程学报,2020,40(24):7928-7937.
CHEN Yuwei, SUN Hongbin, GUO Qinglai.Energy circuit theory of integrated energy system analysis(V): integrated electricity-heat-gas dispatch[J]. Proceedings of the CSEE, 2020, 40(24):7928-7937(in Chinese).
[3] 陈瑜玮, 孙宏斌, 郭庆来. 综合能源系统分析的统一能路理论(五):电-热-气耦合系统优化调度[J]. 中国电机工程学报, 2020, 40(24): 7928-7937, 8230.
Chen Yuwei, Sun Hongbin, Guo Qinglai. Energy circuit theory of integrated energy system analysis (Ⅴ): integrated electricity-heat-gas dispatch[J]. Proceedings of the CSEE, 2020, 40(24): 7928-7937, 8230.[知网中文][知网英文]
[4] 刁涵彬,李培强,王继飞,等.考虑电/热储能互补协调的综合能源系统优化调度[J].电工技术学报,2020,35(21):4532-4543.
DIAO Hanbin, LI Peiqiang, WANG Jifei, et al.Optimal dispatch of integrated energy system considering complementary coordination of electric/thermal energy storage[J]. Transactions of China Electrotechnical Society,2020,35(21):4532-4543.
[4] 刁涵彬, 李培强, 王继飞, 等. 考虑电/热储能互补协调的综合能源系统优化调度[J]. 电工技术学报, 2020, 35(21): 4532-4543.
Diao Hanbin, Li Peiqiang, Wang Jifei, et al. Optimal dispatch of integrated energy system considering complementary coordination of electric/thermal energy storage[J]. Transactions of China Electrotechnical Society, 2020, 35(21): 4532-4543.[知网中文][知网英文]
[5] 陈锦鹏,胡志坚,陈颖光,等.考虑阶梯式碳交易机制与电制氢的综合能源系统热电优化[J].电力自动化设备,2021,41(09):48-55.
CHEN Jinpeng, HU Zhijian, CHEN Yingguang, et al.Thermoelectric optimization of integrated energy system considering ladder-type carbon trading mechanism and electric hydrogen production[J]. Electric Power Automation Equipment,2021,41(09):48-55.
[5] 陈锦鹏, 胡志坚, 陈颖光, 等. 考虑阶梯式碳交易机制与电制氢的综合能源系统热电优化[J]. 电力自动化设备, 2021, 41(9): 48-55.
Chen Jinpeng, Hu Zhijian, Chen Yingguang, et al. Thermoelectric optimization of integrated energy system considering ladder-type carbon trading mechanism and electric hydrogen production[J]. Electric Power Automation Equipment, 2021, 41(9): 48-55.[知网中文][知网英文]
[6] 刘继春,周春燕,高红均,等.考虑氢能-天然气混合储能的电-气综合能源微网日前经济调度优化[J].电网技术,2018,42(01):170-179.
LIU Jichun, ZHOU Chunyan, GAO Hongjun, et al.A Day-Ahead Economic Dispatch Optimization Model of Integrated Electricity-Natural Gas System Considering Hydrogen-Gas Energy Storage System in Microgrid[J]. Power System Technology,2018,42(01):170-179.
[6] 刘继春, 周春燕, 高红均, 等. 考虑氢能-天然气混合储能的电-气综合能源微网日前经济调度优化[J]. 电网技术, 2018, 42(1): 170-179.
Liu Jichun, Zhou Chunyan, Gao Hongjun, et al. A day-ahead economic dispatch optimization model of integrated electricity-natural gas system considering hydrogen-gas energy storage system in microgrid[J]. Power System Technology, 2018, 42(1): 170-179.[知网中文][知网英文]
[7] 崔杨,闫石,仲悟之,等.含电转气的区域综合能源系统热电优化调度[J].电网技术,2020,44(11):4254-4264.
CUI Yang, YAN Shi, ZHONG Wuzhi,et al.Optimal Thermoelectric Dispatching of Regional Integrated Energy System With Power-to-gas[J]. Power System Technology,2020,44(11):4254-4264.
[7] 崔杨, 闫石, 仲悟之, 等. 含电转气的区域综合能源系统热电优化调度[J]. 电网技术, 2020, 44(11): 4254-4264.
Cui Yang, Yan Shi, Zhong Wuzhi, et al. Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas[J]. Power System Technology, 2020, 44(11): 4254-4264.[知网中文][知网英文]
[8] 邓杰,姜飞,王文烨,等.考虑电热柔性负荷与氢能精细化建模的综合能源系统低碳运行[J].电网技术,2022,46(05):1692-1704.
DENG Jie, JIANG Fei, WANG Wenye,et al.Low-carbon Optimized Operation of Integrated Energy System Considering Electric-heat Flexible Load and Hydrogen Energy Refined Modeling[J]. Power System Technology,2022,46(05):1692-1704.
[8] 邓杰, 姜飞, 王文烨, 等. 考虑电热柔性负荷与氢能精细化建模的综合能源系统低碳运行[J]. 电网技术, 2022, 46(5): 1692-1704.
Deng Jie, Jiang Fei, Wang Wenye, et al. Low-carbon optimized operation of integrated energy system considering electric-heat flexible load and hydrogen energy refined modeling[J]. Power System Technology, 2022, 46(5): 1692-1704.[知网中文][知网英文]
[9] 朱兰,王吉,唐陇军,等.计及电转气精细化模型的综合能源系统鲁棒随机优化调度[J].电网技术,2019,43(01):116-126.
ZHU Lan, WANG Ji, TANG Longjun,et al.Robust Stochastic Optimal Dispatching of Integrated Energy Systems Considering Refined Power-to-Gas Model[J]. Power System Technology,2019,43(01):116-126.
[9] 朱兰, 王吉, 唐陇军, 等. 计及电转气精细化模型的综合能源系统鲁棒随机优化调度[J]. 电网技术, 2019, 43(1): 116-126.
Zhu Lan, Wang Ji, Tang Longjun, et al. Robust stochastic optimal dispatching of integrated energy systems considering refined power-to-gas model[J]. Power System Technology, 2019, 43(1): 116-126.[知网中文][知网英文]
[10] Varela C, Mostafa M, Zondervan E.Modeling alkaline water electrolysis for power-to-x applications: A scheduling approach[J]. International Journal of Hydrogen Energy, 2021.
[10] Varela C, Mostafa M, Zondervan E. Modeling alkaline water electrolysis for power-to-x applications: a scheduling approach[J]. International Journal of Hydrogen Energy, 2021, 46(14): 9303-9313.[LinkOut]
[11] 林顺富,曾旭文,沈运帷,等.考虑灵活性需求的园区综合能源系统协同优化配置[J].电力自动化设备,2022,42(09):9-17.
LIN Shunfu, ZENG Xuwen, SHEN Yunwei,et al.Collaborative optimal configuration of park-level integrated energy system considering flexibility requirement[J]. Electric Power Automation Equipment,2022,42(09):9-17.
[11] 林顺富, 曾旭文, 沈运帷, 等. 考虑灵活性需求的园区综合能源系统协同优化配置[J]. 电力自动化设备, 2022, 42(9): 9-17.
Lin Shunfu, Zeng Xuwen, Shen Yunwei, et al. Collaborative optimal configuration of park-level integrated energy system considering flexibility requirement[J]. Electric Power Automation Equipment, 2022, 42(9): 9-17.[知网中文][知网英文]
[12] 马燕峰,谢家荣,赵书强,等.考虑园区综合能源系统接入的主动配电网多目标优化调度[J].电力系统自动化,2022,46(13):53-61.
MA Yanfeng, XIE Jiarong, ZHAO Shuqiang, et al.Multi-objective Optimal Dispatching for Active Distribution Network Considering Park-level Integrated Energy System[J]. Automation of Electric Power Systems,2022,46(13):53-61.
[12] 马燕峰, 谢家荣, 赵书强, 等. 考虑园区综合能源系统接入的主动配电网多目标优化调度[J]. 电力系统自动化, 2022, 46(13): 53-61.
Ma Yanfeng, Xie Jiarong, Zhao Shuqiang, et al. Multi-objective optimal dispatching for active distribution network considering park-level integrated energy system[J]. Automation of Electric Power Systems, 2022, 46(13): 53-61.[知网中文][知网英文]
[13] 张涛,刘景,杨晓雷,等.计及主/被动需求响应与条件风险价值的微网经济调度[J].高电压技术,2021,47(09):3292-3304.
ZHANG Tao, LIU Jing, YANG Xiaolei, et al.Economic Dispatch of Microgrid Considering Active/Passive Demand Response and Conditional Value at Risk[J]. High Voltage Engineering,2021,47(09):3292-3304.
[13] 张涛, 刘景, 杨晓雷, 等. 计及主/被动需求响应与条件风险价值的微网经济调度[J]. 高电压技术, 2021, 47(9): 3292-3304.
Zhang Tao, Liu Jing, Yang Xiaolei, et al. Economic dispatch of microgrid considering active/passive demand response and conditional value at risk[J]. High Voltage Engineering, 2021, 47(9): 3292-3304.[知网中文][知网英文]
[14] 汤翔鹰,胡炎,耿琪,等.考虑多能灵活性的综合能源系统多时间尺度优化调度[J].电力系统自动化,2021,45(04):81-90.
TANG Xiangying, HU Yan, GENG Qi, et al.Multi-time-scale Optimal Scheduling of Integrated Energy System Considering Multi-energy Flexibility[J]. Automation of Electric Power Systems,2021,45(04):81-90.
[14] 汤翔鹰, 胡炎, 耿琪, 等. 考虑多能灵活性的综合能源系统多时间尺度优化调度[J]. 电力系统自动化, 2021, 45(4): 81-90.
Tang Xiangying, Hu Yan, Geng Qi, et al. Multi-time-scale optimal scheduling of integrated energy system considering multi-energy flexibility[J]. Automation of Electric Power Systems, 2021, 45(4): 81-90.[知网中文][知网英文]
[15] 何畅,程杉,徐建宇,等.基于多时间尺度和多源储能的综合能源系统能量协调优化调度[J].电力系统及其自动化学报,2020,32(02):77-84+97.
HE Chang, CHENG Shan, XU Jianyu, FANG Zifan. Coordinated Optimal Scheduling of Integrated Energy System Considering Multi-time Scale and Hybrid Energy Storage System[J]. Proceedings of the CSU-EPSA,2020,32(02):77-84+97.
[15] 何畅, 程杉, 徐建宇, 等. 基于多时间尺度和多源储能的综合能源系统能量协调优化调度[J]. 电力系统及其自动化学报, 2020, 32(2): 77-84, 97.
He Chang, Cheng Shan, Xu Jianyu, et al. Coordinated optimal scheduling of integrated energy system considering multi-time scale and hybrid energy storage system[J]. Proceedings of the CSU-EPSA, 2020, 32(2): 77-84, 97.[知网中文][知网英文]
[16] 张大海,贠韫韵,王小君,等.计及风光不确定性的新能源虚拟电厂多时间尺度优化调度[J].太阳能学报,2022,43(11):529-537.
Zhang Dahai, Yun Yunyun, Wang Xiaojun, He Jinghan.MULTI-TIME SCALE OF NEW ENERGY SCHEDULING OPTIMIZATION FOR VIRTUAL POWER PLANT CONSIDERING UNCERTAINTY OF WIND POWER AND PHOTOVOLTAIC POWER[J]. Acta Energiae Solaris Sinica, 2022, 43(11): 529-537.
[16] 张大海, 贠韫韵, 王小君, 等. 计及风光不确定性的新能源虚拟电厂多时间尺度优化调度[J]. 太阳能学报, 2022, 43(11): 529-537.
Zhang Dahai, Yun Yunyun, Wang Xiaojun, et al. Multi-time scale of new energy scheduling optimization for virtual power plant considering uncertainty of wind power and photovoltaic power[J]. Acta Energiae Solaris Sinica, 2022, 43(11): 529-537.[知网中文][知网英文]
[17] 谢鹏,蔡泽祥,刘平,等.考虑多时间尺度不确定性耦合影响的风光储微电网系统储能容量协同优化[J].中国电机工程学报,2019,39(24):7126-7136+7486.
XIE Peng, CAI Zexiang, LIU Ping, et al. Cooperative Optimization of Energy Storage Capacity for Renewable and Storage Involved Microgrids Considering Multi Time Scale Uncertainty Coupling Influence[J]. Proceedings of the CSEE, 2019, 39(24):7126-7136+7486.
[17] 谢鹏, 蔡泽祥, 刘平, 等. 考虑多时间尺度不确定性耦合影响的风光储微电网系统储能容量协同优化[J]. 中国电机工程学报, 2019, 39(24): 7126-7136, 7486.
Xie Peng, Cai Zexiang, Liu Ping, et al. Cooperative optimization of energy storage capacity for renewable and storage involved microgrids considering multi time scale uncertainty coupling influence[J]. Proceedings of the CSEE, 2019, 39(24): 7126-7136, 7486.[知网中文][知网英文]
[18] 马紫嫣,贾燕冰,韩肖清,等.考虑动态时间间隔的综合能源系统双层优化调度[J].电网技术,2022,46(05):1721-1730.
MA Ziyan, JIA Yanbing, HAN Xiaoqing, et al.Two-layer Dispatch Model of Integrated Energy System Considering Dynamic Time-interval[J]. Power System Technology, 2022, 46(5): 1721-1730.
[18] 马紫嫣, 贾燕冰, 韩肖清, 等. 考虑动态时间间隔的综合能源系统双层优化调度[J]. 电网技术, 2022, 46(5): 1721-1730.
Ma Ziyan, Jia Yanbing, Han Xiaoqing, et al. Two-layer dispatch model of integrated energy system considering dynamic time-interval[J]. Power System Technology, 2022, 46(5): 1721-1730.[知网中文][知网英文]
[19] 随权,马啸,魏繁荣,等.计及燃料电池热-电综合利用的能源网日前调度优化策略[J].中国电机工程学报,2019,39(6):1603-1613,1857.
Sui Quan, Ma Xiao, Wei Fanrong, et al.Day-ahead dispatching optimization strategy for energy network considering fuel cell thermal-electric comprehensive utilization[J]. Proceedings of the CSEE, 2019, 39(6):1603-1613, 1857.
[19] 随权, 马啸, 魏繁荣, 等. 计及燃料电池热-电综合利用的能源网日前调度优化策略[J]. 中国电机工程学报, 2019, 39(6): 1603-1613, 1857.
Sui Quan, Ma Xiao, Wei Fanrong, et al. Day-ahead dispatching optimization strategy for energy network considering fuel cell thermal-electric comprehensive utilization[J]. Proceedings of the CSEE, 2019, 39(6): 1603-1613, 1857.[知网中文][知网英文]
[20] 荆有印,白鹤,张建良.太阳能冷热电联供系统的多目标优化设计与运行策略分析[J].中国电机工程学报,2012,32(20):82-87,143.
Jing Youyin, Bai He, Zhang Jianliang.Multi-objective optimization design and operation strategy analysis of a solar combined cooling heating and power system[J]. Proceedings of the CSEE, 2012, 32(20): 82-87, 143.
[20] 荆有印, 白鹤, 张建良. 太阳能冷热电联供系统的多目标优化设计与运行策略分析[J]. 中国电机工程学报, 2012, 32(20): 82-87, 143.
Jing Youyin, Bai He, Zhang Jianliang. Multi-objective optimization design and operation strategy analysis of a solar combined cooling heating and power system[J]. Proceedings of the CSEE, 2012, 32(20): 82-87, 143.[知网中文][知网英文]
[21] 程浩忠,胡枭,王莉,等.区域综合能源系统规划研究综述[J].电力系统自动化,2019,43(7):2-13.
Cheng Haozhong, Hu Xiao, Wang Li, et al.Review on research of regional integrated energy system planning[J]. Automation of Electric Power Systems, 2019, 43(7):2-13.
[21] 程浩忠, 胡枭, 王莉, 等. 区域综合能源系统规划研究综述[J]. 电力系统自动化, 2019, 43(7): 2-13.
Cheng Haozhong, Hu Xiao, Wang Li, et al. Review on research of regional integrated energy system planning[J]. Automation of Electric Power Systems, 2019, 43(7): 2-13.[知网中文][知网英文]
[22] 马腾飞,裴玮,肖浩,等.基于纳什谈判理论的风-光-氢多主体能源系统合作运行方法[J].中国电机工程学报,2021,41(1):25-39.
MA Tengfei, PEI Wei, XIAO Hao, et al.Cooperative operation method for wind-solar-hydrogen multi-agent energy system based on nash bargaining theory[J]. Proceedings of the CSEE, 2021, 41(1):25-39.
[22] 马腾飞, 裴玮, 肖浩, 等. 基于纳什谈判理论的风-光-氢多主体能源系统合作运行方法[J]. 中国电机工程学报, 2021, 41(1): 25-39, 395.
Ma Tengfei, Pei Wei, Xiao Hao, et al. Cooperative operation method for wind-solar-hydrogen multi-agent energy system based on Nash bargaining theory[J]. Proceedings of the CSEE, 2021, 41(1): 25-39, 395.[知网中文][知网英文]
[23] 胡俊杰,刘雪涛,王程,考虑网络约束的能量枢纽灵活性价值评估[J].中国电机工程学报,2022,42(05):1799-1813.
HU Junjie, LIU Xuetao, WANG Cheng.Value Evaluation of Energy Hub Flexibility Considering Network Constraints[J]. Proceedings of the CSEE,2022,42(05):1799-1813.
[23] 胡俊杰, 刘雪涛, 王程. 考虑网络约束的能量枢纽灵活性价值评估[J]. 中国电机工程学报, 2022, 42(5): 1799-1813.
Hu Junjie, Liu Xuetao, Wang Cheng. Value evaluation of energy hub flexibility considering network constraints[J]. Proceedings of the CSEE, 2022, 42(5): 1799-1813.[知网中文][知网英文]
[24] YE Yang, DING Jing, WANG Weilong, et al.The storage performance of metal hydride hydrogen storage tanks with reaction heat recovery by phase change materials[J]. Applied Energy, 2021, 299:117255.
[24] Ye Yang, Ding Jing, Wang Weilong, et al. The storage performance of metal hydride hydrogen storage tanks with reaction heat recovery by phase change materials[J]. Applied Energy, 2021, 299: 117255.[LinkOut]
[25] 许周,孙永辉,谢东亮,等.计及电/热柔性负荷的区域综合能源系统储能优化配置[J].电力系统自动化,2020,44(2):53-59.
XU Zhou, SUN Yonghui, XIE Dongliang, et al.Optimal configuration of energy storage for integrated region energy system considering power/thermal flexible load[J]. Automation of Electric Power Systems, 2020, 44(2):53-59.
[25] 许周, 孙永辉, 谢东亮, 等. 计及电/热柔性负荷的区域综合能源系统储能优化配置[J]. 电力系统自动化, 2020, 44(2): 53-59.
Xu Zhou, Sun Yonghui, Xie Dongliang, et al. Optimal configuration of energy storage for integrated region energy system considering power/thermal flexible load[J]. Automation of Electric Power Systems, 2020, 44(2): 53-59.[知网中文][知网英文]
[26] 余娟,时权妍,杨知方,等.考虑电解水与甲烷化运行特性的电转气系统日前调度方法[J].电力系统自动化,2019,43(18):18-25.
YU Juan, SHI Quanyan, YANG Zhifang, et al.Day-ahead scheduling method of power-to-gas system considering operation characteristics of water electrolysis and methanation[J]. Automation of Electric Power Systems, 2019, 43(18):18-25.
[26] 余娟, 时权妍, 杨知方, 等. 考虑电解水与甲烷化运行特性的电转气系统日前调度方法[J]. 电力系统自动化, 2019, 43(18): 18-25.
Yu Juan, Shi Quanyan, Yang Zhifang, et al. Day-ahead scheduling method of power-to-gas system considering operation characteristics of water electrolysis and methanation[J]. Automation of Electric Power Systems, 2019, 43(18): 18-25.[知网中文][知网英文]
[27] 崔杨,姜涛,仲悟之,等.考虑风电消纳的区域综合能源系统源荷协调经济调度[J].电网技术,2020,44(7):2474-2482.
CUI Yang, JIANG Tao, ZHONG Wuzhi, et al.Source-load coordination economic dispatch method for regional integrated energy system considering wind power accommodation[J]. Power System Technology, 2020, 44(7):2474-2482.
[27] 崔杨, 姜涛, 仲悟之, 等. 考虑风电消纳的区域综合能源系统源荷协调经济调度[J]. 电网技术, 2020, 44(7): 2474-2483.
Cui Yang, Jiang Tao, Zhong Wuzhi, et al. Source-load coordination economic dispatch method for regional integrated energy system considering wind power accommodation[J]. Power System Technology, 2020, 44(7): 2474-2483.[知网中文][知网英文]
[28] HU Junjie, LIU Xuetao, SHAHIDEHPOUR M, et al.Optimal operation of energy hubs with large-scale distributed energy resources for distribution network congestion management[J]. IEEE Transactions on Sustainable Energy, 2021, 12(3):1755-1765.
[28] Hu Junjie, Liu Xuetao, Shahidehpour M, et al. Optimal operation of energy hubs with large-scale distributed energy resources for distribution network congestion management[J]. IEEE Transactions on Sustainable Energy, 2021, 12(3): 1755-1765.[LinkOut]
[29] 张超,冯忠楠,邓少平,等.考虑电热混合储能的多能互补协同削峰填谷策略[J].电工技术学报,2021,36(S1):191-199.
Zhang Chao, Feng Zhongnan, Deng Shaoping, et al.Multi-Energy Complementary Collaborative Peak-Load Shifting Strategy Based on Electro-Thermal Hybrid Energy Storage System[J]. Transactions of China Electrotechnical Society,2021,36(S1):191-199.
[29] 张超, 冯忠楠, 邓少平, 等. 考虑电热混合储能的多能互补协同削峰填谷策略[J]. 电工技术学报, 2021, 36(增刊1): 191-199.
Zhang Chao, Feng Zhongnan, Deng Shaoping, et al. Multi-energy complementary collaborative peak-load shifting strategy based on electro-thermal hybrid energy storage system[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 191-199.[知网中文][知网英文]
[30] 王雪纯,陈红坤,陈磊.提升区域综合能源系统运行灵活性的多主体互动决策模型[J].电工技术学报,2021,36(11):2207-2219.
Wang Xuechun, Chen Hongkun, Chen Lei.Multi-Player Interactive Decision-Making Model for Operational Flexibility Improvement of Regional Integrated Energy System[J]. Transactions of China Electrotechnical Society, 2021, 36(11):2207-2219.
[30] 王雪纯, 陈红坤, 陈磊. 提升区域综合能源系统运行灵活性的多主体互动决策模型[J]. 电工技术学报, 2021, 36(11): 2207-2219.
Wang Xuechun, Chen Hongkun, Chen Lei. Multi-player interactive decision-making model for operational flexibility improvement of regional integrated energy system[J]. Transactions of China Electrotechnical Society, 2021, 36(11): 2207-2219.[知网中文][知网英文]
[31] 高统彤,邵振国,陈飞雄.计及多能流不确定性的综合能源系统优化配置[J].电气技术,2022,23(03):1-10.
GAO Tongtong, SHAO Zhenguo, CHEN Feixiong.Optimal allocation of integrated energy system considering the uncertainty of multi-energy flow[J]. Electrical Engineering,2022,23(03):1-10.
[31] 高统彤, 邵振国, 陈飞雄. 计及多能流不确定性的综合能源系统优化配置[J]. 电气技术, 2022, 23(3): 1-10.
Gao Tongtong, Shao Zhenguo, Chen Feixiong. Optimal allocation of integrated energy system considering the uncertainty of multi-energy flow[J]. Electrical Engineering, 2022, 23(3): 1-10.[知网中文][知网英文]