考虑电转气消纳水电的水-电-气系统低碳鲁棒优化调度

doi:10.11930/j.issn.1004-9649.202204086

中国电力 ›› 2022, Vol. 55 ›› Issue (11): 163-174.DOI: 10.11930/j.issn.1004-9649.202204086

考虑电转气消纳水电的水-电-气系统低碳鲁棒优化调度

胥洪远¹, 龙太聪¹, 赵启道¹, 李湃², 南璐³, 张琪³, 陈宇航³, 谭晶³

1. 华电金沙江上游水电开发有限公司，四川成都 610041;
2. 中国电力科学研究院有限公司新能源与储能运行控制国家重点实验室，北京 100192;
3. 四川大学电气工程学院，四川成都 610065

收稿日期:2022-04-08 修回日期:2022-10-10 发布日期:2022-11-29
作者简介:胥洪远（1968—），男，高级工程师，从事电力安全生产管理，E-mail：466588278@qq.com;龙太聪（1968—），男，高级工程师，从事电力安全生产管理，E-mail：bzsltc@163.com;南璐（1994—），女，通信作者，博士、助理研究员，从事电力系统设计规划与优化运行研究，E-mail：lnan@scu.edu.com
基金资助:
华电金沙江上游水电开发有限公司项目（NYB11202100954）

Day-Ahead Coordinated Low Carbon Robust Scheduling of Hydro-Electricity-Natural Gas System Considering Power-to-Gas to Accommodate Excessive Hydro Generation

XU Hongyuan¹, LONG Taicong¹, ZHAO Qidao¹, LI Pai², NAN Lu³, ZHANG Qi³, CHEN Yuhang³, TAN Jing³

1. Huadian Jinsha River Upstream Hydropower Development Co., Ltd., Chengdu 610041, China;
2. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, China;
3. College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Received:2022-04-08 Revised:2022-10-10 Published:2022-11-29
Supported by:
This work is supported by the Project of Huadian Jinsha River Upstream Hydropower Development Co.,Ltd. (No.NYB11202100954)

摘要/Abstract

摘要： 针对电力系统调节能力不足引起的汛期弃水问题以及负荷侧存在的不确定性问题，本文构建了水-电-气多能源系统协同低碳鲁棒优化调度模型，并给出模型的求解方法。所提模型将电力系统中的水电机组、燃气机组、火电机组同水电系统、天然气系统进行协同建模，考虑电转气技术将电力系统无法消纳的水电转化为天然气，存储至天然气系统中，对水-电-气多能源系统联合运行时消纳水电的能力进行分析。针对模型中的非线性约束，基于分段线性化法和泰勒级数展开方法将模型转化为混合整数线性模型；针对模型中的不确定性参数，运用列与约束生成方法将其转化为主-子问题框架，采用Gurobi求解器进行快速求解。采用改进的6节点电网-7节点气网系统进行算例分析，结果验证了所提模型能够充分利用不同能源系统间的互补特性提高电力系统的调节能力，促进水电的消纳，降低电力系统的运行成本并实现电力系统的低碳运行。

关键词: 协同优化调度, 水-电-气系统, 电转气, 梯级水电, 低碳运行

Abstract: Aiming at the surplus water problem caused by insufficient regulation capacity of power system and uncertainty on the load side, a multi-energy coordinated low-carbon robust scheduling model of hydro-electricity-natural gas system was proposed and solved in this paper. The nonlinear constraint in the proposed model is transformed into a mixed-integer linear model based on piecewise linearization method and Taylor series expansion method. For the uncertain parameters in the model, the column and constraint generation method are used to further transform it into a master-subproblem framework, consequently solved by GUROBI solver. Numerical results of an improved 6-bus electricity/7-node gas system show that the proposed model can make full use of the complementary characteristics of different energy systems to improve the regulation capacity of the power system and promote the consumption of hydro power, as well as reduce the operation cost and achieve low-carbon operation of power system.

Key words: coordinated scheduling, hydro-electricity-natural gas system, power to gas, cascade hydropower, low-carbon operation

胥洪远, 龙太聪, 赵启道, 李湃, 南璐, 张琪, 陈宇航, 谭晶. 考虑电转气消纳水电的水-电-气系统低碳鲁棒优化调度[J]. 中国电力, 2022, 55(11): 163-174.

XU Hongyuan, LONG Taicong, ZHAO Qidao, LI Pai, NAN Lu, ZHANG Qi, CHEN Yuhang, TAN Jing. Day-Ahead Coordinated Low Carbon Robust Scheduling of Hydro-Electricity-Natural Gas System Considering Power-to-Gas to Accommodate Excessive Hydro Generation[J]. Electric Power, 2022, 55(11): 163-174.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202204086

https://www.electricpower.com.cn/CN/Y2022/V55/I11/163

参考文献

[1] 帅伟. 西南水电“弃水”困局与对策[J]. 中国电力, 2017, 50(10): 171–175
SHUAI Wei. The problems and countermeasures about abandoned water in China southwest hydropower station[J]. Electric Power, 2017, 50(10): 171–175
[2] 王嘉阳, 程春田, 廖胜利, 等. 复杂约束限制下的梯级水电站群实时优化调度方法及调整策略[J]. 中国电机工程学报, 2015, 35(17): 4326–4334
WANG Jiayang, CHENG Chuntian, LIAO Shengli, et al. Real-time scheduling method and strategy for hydro cascaded system with complex constraints[J]. Proceedings of the CSEE, 2015, 35(17): 4326–4334
[3] 陈颖毅, 王丽萍, 赵亚威, 等. 考虑弃水电量机会损失的水火电短期联合优化调度[J]. 水电能源科学, 2020, 38(7): 65–68,15
CHEN Yingyi, WANG Liping, ZHAO Yawei, et al. Short-term coordination optimal of hydrothermal scheduling considering opportunity loss of surplus hydropower[J]. Water Resources and Power, 2020, 38(7): 65–68,15
[4] 窦迅, 赵文浩, 郎伊紫禾, 等. 计及电转气技术的天然气–电力耦合系统运行研究综述[J]. 电网技术, 2019, 43(1): 165–173
DOU Xun, ZHAO Wenhao, LANG Yizihe, et al. A review of operation of natural gas-electricity coupling system considering power-to-gas technology[J]. Power System Technology, 2019, 43(1): 165–173
[5] 卫志农, 张思德, 孙国强, 等. 计及电转气的电–气互联综合能源系统削峰填谷研究[J]. 中国电机工程学报, 2017, 37(16): 4601–4609,4885
WEI Zhinong, ZHANG Side, SUN Guoqiang, et al. Power-to-gas considered peak load shifting research for integrated electricity and natural-gas energy systems[J]. Proceedings of the CSEE, 2017, 37(16): 4601–4609,4885
[6] 葛晓琳, 钟俊玲, 符杨. 考虑来水多区间不确定集的跨年梯级水电鲁棒优化调度[J]. 中国电机工程学报, 2018, 38(17): 5097–5106,5306
GE Xiaolin, ZHONG Junling, FU Yang. Robust biennial scheduling of cascade hydropower system considering with the multi-band uncertainty set of the inflow[J]. Proceedings of the CSEE, 2018, 38(17): 5097–5106,5306
[7] 于龙泽, 刘洪波, 肖白, 等. 考虑电源灵活性的多能源电力系统协调分层日前优化调度[J]. 吉林电力, 2021, 49(4): 15–20
YU Longze, LIU Hongbo, XIAO Bai, et al. Coordinated hierarchical day ahead optimal dispatch of multi energy power system considering power flexibility[J]. Jilin Electric Power, 2021, 49(4): 15–20
[8] 贾一飞, 林梦然, 董增川. 龙羊峡水电站水光互补优化调度研究[J]. 水电能源科学, 2020, 38(10): 207–210,106
JIA Yifei, LIN Mengran, DONG Zengchuan. Research on optimal operation of hydro photovoltaic complementarity in longyangxia hydropower station[J]. Water Resources and Power, 2020, 38(10): 207–210,106
[9] 解佗. 基于分解集成预测模型框架及多目标对冲机制的水电—光伏联合调度研究[D]. 西安: 西安理工大学, 2020.
XIE Tuo. Research on the integrated forecasting model framework and multi-objective hedging mechanism for hydropower photovoltaic joint scheduling[D]. Xi'an: Xi’an University of Technology, 2020.
[10] 张玮, 李丹, 张翔宇, 等. 基于风险约束的风电和水电联合日前调度优化模型[J]. 中国电力, 2016, 49(5): 163–170
ZHANG Wei, LI Dan, ZHANG Xiangyu, et al. Risk-constrained day-ahead scheduling optimization model of hydro-wind power generation[J]. Electric Power, 2016, 49(5): 163–170
[11] 陈麒宇, LITTLER T, 王海风, 等. 风电水电协同运行计划的优化[J]. 中国电机工程学报, 2014, 34(34): 6074–6082
CHEN Qiyu, LITTLER T, WANG Haifeng, et al. Optimal scheduling for coordinated wind and hydro power generation[J]. Proceedings of the CSEE, 2014, 34(34): 6074–6082
[12] 静铁岩, 吕泉, 郭琳, 等. 水电-风电系统日间联合调峰运行策略[J]. 电力系统自动化, 2011, 35(22): 97–104
JING Tieyan, LV Quan, GUO Lin, et al. An inter-day combined operation strategy of hydro and wind power system for regulating peak load[J]. Automation of Electric Power Systems, 2011, 35(22): 97–104
[13] 肖白, 于龙泽, 刘洪波, 等. 基于生成虚拟净负荷的多能源电力系统日前优化调度[J]. 中国电机工程学报, 2021, 41(21): 7237–7249
XIAO Bai, YU Longze, LIU Hongbo, et al. Day ahead optimal dispatch of multi-energy power system based on generating virtual net load[J]. Proceedings of the CSEE, 2021, 41(21): 7237–7249
[14] 李铁, 李正文, 杨俊友, 等. 计及调峰主动性的风光水火储多能系统互补协调优化调度[J]. 电网技术, 2020, 44(10): 3622–3630
LI Tie, LI Zhengwen, YANG Junyou, et al. Coordination and optimal scheduling of multi-energy complementary system considering peak regulation initiative[J]. Power System Technology, 2020, 44(10): 3622–3630
[15] 夏新华, 高宗和, 李恒强, 等. 考虑时空互补特性的风光水火多能源基地联合优化调度[J]. 电力工程技术, 2017, 36(5): 59–65
XIA Xinhua, GAO Zonghe, LI Hengqiang, et al. Combined optimization dispatching of multi-source hybrid power bases considering the time-space complementary characteristics[J]. Electric Power Engineering Technology, 2017, 36(5): 59–65
[16] 王旭强, 张鑫, 刘红昌, 等. 考虑源荷双重不确定性的电-气互联综合能源系统分布鲁棒优化调度[J]. 现代电力, 2019, 36(6): 52–60
WANG Xuqiang, ZHANG Xin, LIU Hongchang, et al. Robust optimal scheduling of power-gas interconnected integrated energy system with double uncertainty of source and load[J]. Modern Electric Power, 2019, 36(6): 52–60
[17] ZHOU Y Z, GU C H, WU H, et al. An equivalent model of gas networks for dynamic analysis of gas-electricity systems[J]. IEEE Transactions on Power Systems, 2017, 32(6): 4255–4264.
[18] HE C, ZHANG X P, LIU T Q, et al. Distributionally robust scheduling of integrated gas-electricity systems with demand response[J]. IEEE Transactions on Power Systems, 2019, 34(5): 3791–3803.
[19] CORREA-POSADA C M, SANCHEZ-MARTIN P. Gas network optimization: a comparison of piecewise linear models [EB/OL]. (2022-02-01) [2016-05-04]. http://www.optimizationonline.org/DB_HTML/2014/10/4580.html.
[20] 张林垚, 郑洁云, 孔顺飞, 等. 考虑综合能源系统的配网规划模型及其求解方法[J]. 南方电网技术, 2019, 13(6): 76–86
ZHANG Linyao, ZHENG Jieyun, KONG Shunfei, et al. Planning model of distribution network considering the integrated energy system and its solution method[J]. Southern Power System Technology, 2019, 13(6): 76–86
[21] QIU J, YANG H M, DONG Z Y, et al. A linear programming approach to expansion co-planning in gas and electricity markets[J]. IEEE Transactions on Power Systems, 2016, 31(5): 3594–3606.
[22] HE C, DAI C X, WU L, et al. Robust network hardening strategy for enhancing resilience of integrated electricity and natural gas distribution systems against natural disasters[J]. IEEE Transactions on Power Systems, 2018, 33(5): 5787–5798.
[23] 崔杨, 曾鹏, 王铮, 等. 计及电价型需求侧响应含碳捕集设备的电-气-热综合能源系统低碳经济调度[J]. 电网技术, 2021, 45(2): 447–461
CUI Yang, ZENG Peng, WANG Zheng, et al. Low-carbon economic dispatch of electricity-gas-heat integrated energy system with carbon capture equipment considering price-based demand response[J]. Power System Technology, 2021, 45(2): 447–461
[24] 秦婷, 刘怀东, 王锦桥, 等. 基于碳交易的电-热-气综合能源系统低碳经济调度[J]. 电力系统自动化, 2018, 42(14): 8–13,22
QIN Ting, LIU Huaidong, WANG Jinqiao, et al. Carbon trading based low-carbon economic dispatch for integrated electricity-heat-gas energy system[J]. Automation of Electric Power Systems, 2018, 42(14): 8–13,22
[25] 卫志农, 张思德, 孙国强, 等. 基于碳交易机制的电-气互联综合能源系统低碳经济运行[J]. 电力系统自动化, 2016, 40(15): 9–16
WEI Zhinong, ZHANG Side, SUN Guoqiang, et al. Carbon trading based low-carbon economic operation for integrated electricity and natural gas energy system[J]. Automation of Electric Power Systems, 2016, 40(15): 9–16
[26] 印月, 刘天琪, 何川, 等. 风-光-水-火多能互补系统随机优化调度[J]. 电测与仪表, 2020, 57(16): 51–58
YIN Yue, LIU Tianqi, HE Chuan, et al. Stochastic optimal scheduling for hybrid thermal-hydro-wind- photovoltaic multi-energy complementary system[J]. Electrical Measurement & Instrumentation, 2020, 57(16): 51–58
[27] BABAYEV D A. Piece-wise linear approximation of functions of two variables[J]. Journal of Heuristics, 1997, 2(4): 313–320.
[28] 6-Bus System Data. (2016). [Online]. Available: http: //people. clarkson. edu/~lwu/data/6 Bus/.

考虑电转气消纳水电的水-电-气系统低碳鲁棒优化调度

Day-Ahead Coordinated Low Carbon Robust Scheduling of Hydro-Electricity-Natural Gas System Considering Power-to-Gas to Accommodate Excessive Hydro Generation

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 11

编辑推荐

Metrics

[1]	王辉, 周珂锐, 吴作辉, 邹智超, 李欣. 含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度[J]. 中国电力, 2024, 57(8): 214-226.
[2]	高月芬, 员成博, 孔凡鹏, 王雪松. 需求响应激励下耦合电转气、碳捕集设备的综合能源系统优化[J]. 中国电力, 2024, 57(4): 32-41.
[3]	晁文浩, 袁至, 李骥. 计及电转气-风-火-核-碳捕集的多源联合系统优化调度[J]. 中国电力, 2024, 57(1): 183-194.
[4]	冯帅, 袁至, 李骥, 王维庆, 何山. 碳交易背景下基于综合协调储能系统的碳捕集电厂优化调度[J]. 中国电力, 2023, 56(6): 139-147.
[5]	赵军, 张敏, 张世锋, 杨琦. 计及碳交易和新能源不确定性的多微电网合作运行优化策略[J]. 中国电力, 2023, 56(5): 62-71.
[6]	李茜, 黄海涛, 晏小彬, 廖长江, 彭欣, 张安安. 海上油气微能系统的低碳优化运行研究[J]. 中国电力, 2023, 56(3): 13-22.
[7]	苏志鹏, 王莉, 梁欣怡, 陈涛, 曾顺奇, 余志文. 考虑阶梯式碳交易及综合需求响应的虚拟电厂优化调度[J]. 中国电力, 2023, 56(12): 174-182.
[8]	杨宇玄, 高栋梁, 陈一鸣, 周步祥, 陈阳, 臧天磊. 考虑碳捕集和气网混氢的气电耦合系统低碳经济调度[J]. 中国电力, 2023, 56(10): 1-10.
[9]	田福银, 马骏, 王灿, 李欣然, 王傲奇, 褚四虎, 凌凯, 张羽, 甘友春. 基于双层主从博弈的综合能源系统多主体低碳经济运行策略[J]. 中国电力, 2022, 55(11): 184-193.
[10]	周任军, 邓子昂, 徐健, 朱疆生, 王仰之. 碳捕集燃气热电机组碳循环及其虚拟电厂优化运行[J]. 中国电力, 2020, 53(9): 166-171.
[11]	张磊, 秦光宇, 刘亚玲. 含电转气的多能源中心协调优化运行策略[J]. 中国电力, 2020, 53(10): 113-122.

模态框（Modal）标题

考虑电转气消纳水电的水-电-气系统低碳鲁棒优化调度

Day-Ahead Coordinated Low Carbon Robust Scheduling of Hydro-Electricity-Natural Gas System Considering Power-to-Gas to Accommodate Excessive Hydro Generation

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 11

编辑推荐

Metrics