为实现新能源的高消纳,减少碳排放,该文通过电解水制氢与氢气甲烷化技术、电锅炉与燃气轮机等设备将电网与热网紧密联系。首先,对综合能源系统中各单元进行建模;其次,引入需求侧响应,将其分为价格型需求响应与替代型需求响应;然后,考虑系统的能量流动特性,对各单元运行状况进行约束;最后,综合考虑可靠性、经济性、环保性及弃电率,建立多目标下综合能源系统容量配置策略。在此基础上,用Matlab中的商业求解器CPLEX对模型的容量配置进行求解,分析在有无需求响应和有无储能的情况下,对系统容量配置的影响,采用恶劣天气,对已配置容量的可靠性与经济性进行验证,结果表明该容量配置在恶劣情况下,仍能在仅失去较少负荷的情况下有良好的经济性和较高的风光消纳率。
Abstract
In order to achieve high consumption of new energy and reduce carbon emissions, this article closely links the power grid with heating network through electrolysis of water for hydrogen production and hydrogen methanation technology, as well as electric boilers and gas turbines, and other equipment. Firstly, model each unit in the integrated energy system. Secondly, introduce demand side response and divide it into price based demand response and substitution based demand response. Then, considering the energy flow characteristics of the system, constraints are imposed on the operating conditions of each unit. Finally, considering reliability, economy, environmental friendliness, and abandonment rate, a multi-objective comprehensive energy system capacity allocation strategy is established. On this basis, the commercial solver CPLEX in Matlab is used to solve the capacity configuration of the model, and the impact on the system capacity configuration with and without demand response and energy storage is analyzed. The reliability and economy of the configured capacity are verified using severe weather conditions. The results show that the capacity configuration can still have good economy and high wind and solar energy consumption rate with minimal load loss under adverse conditions.
关键词
综合能源系统 /
多目标优化 /
需求响应 /
容量配置 /
氢能系统
Key words
integrated energy system /
multi-objective optimization /
demand response /
capacity configuration /
hydrogen energy systems
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 张沈习, 王丹阳, 程浩忠, 等. 双碳目标下低碳综合能源系统规划关键技术及挑战[J]. 电力系统自动化, 2022, 46(8): 189-207.
ZHANG S X, WANG D Y, CHENG H Z, et al.Key technologies and challenges of low-carbon integrated energy system planning for carbon emission peak and carbon neutrality[J]. Automation of electric power systems, 2022, 46(8): 189-207.
[2] 王宏, 闫园, 文福拴, 等. 国内外综合能源系统标准现状与展望[J]. 电力科学与技术学报, 2019, 34(3): 3-12.
WANG H, YAN Y, WEN F S, et al.Standards associated with integrated energy systems: current situation and research prospects[J]. Journal of electric power science and technology, 2019, 34(3): 3-12.
[3] 张义志, 王小君, 和敬涵, 等. 考虑供热系统建模的综合能源系统最优能流计算方法[J]. 电工技术学报, 2019, 34(3): 562-570.
ZHANG Y Z, WANG X J, HE J H, et al.Optimal energy flow calculation method for integrated energy systems considering heating system modeling[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 562-570.
[4] 孟贤, 郭启蒙, 李颖欢, 等. 考虑双向需求的混合储能容量多目标优化配置[J]. 太阳能学报, 2023, 44(8): 45-53.
MENG X, GUO Q M, LI Y H, et al.Multi-objective optimal configuration of hybrid energy storage capacity considering two-way demand[J]. Acta energiae solaris sinica, 2023, 44(8): 45-53.
[5] 赵冬梅, 夏轩, 陶然. 含电转气的热电联产微网电/热综合储能优化配置[J]. 电力系统自动化, 2019, 43(17): 46-54.
ZHAO D M, XIA X, TAO R.Optimal configuration of electric/thermal integrated energy storage for combined heat and power microgrid with power to gas[J]. Automation of electric power systems, 2019, 43(17): 46-54.
[6] 袁铁江, 曹继雷. 计及风电-负荷不确定性的风氢低碳能源系统容量优化配置[J]. 高电压技术, 2022, 48(6): 2037-2044.
YUAN T J, CAO J L.Capacity optimization allocation of wind hydrogen low-carbon energy system considering wind power-load uncertainty[J]. High voltage engineering, 2022, 48(6): 2037-2044.
[7] 马榕谷, 陈洁, 赵军超, 等. 非并网风氢互补系统的容量多目标优化[J]. 太阳能学报, 2019, 40(2): 422-429.
MA R G, CHEN J, ZHAO J C, et al.Multi-objective optimization for capacity of non-grid-connected wind/hydrogen hybrid power system[J]. Acta energiae solaris sinica, 2019, 40(2): 422-429.
[8] 杨立滨, 曹阳, 魏韡, 等. 计及风电不确定性和弃风率约束的风电场储能容量配置方法[J]. 电力系统自动化, 2020, 44(16): 45-52.
YANG L B,CAO Y,WEI W,et al.Configuration method of energy storage for wind farms considering wind power uncertainty and wind curtailment constraint[J]. Automation of electric power systems,2020,44(16):45-52.
[9] 成驰, 陈正洪, 孙朋杰, 等. 基于典型气象条件的风光互补系统容量优化[J]. 太阳能学报, 2021, 42(2): 110-114.
CHENG C,CHEN Z H,SUN P J,et al.Capacity configuration optimization for wind solar hybrid power system based on typical meteorological conditions[J]. Acta energiae solaris sinica, 2021, 42(2): 110-114.
[10] 朱刘柱, 尹晨旭, 王宝, 等. 计及风/光/荷不确定性的综合能源站随机规划研究[J]. 电网与清洁能源, 2021, 37(5): 96-105.
ZHU L Z, YIN C X, WANG B, et al.Stochastic programming of integrated energy station considering the uncertainties of wind power, photovoltaic and load[J]. Power system and clean energy, 2021, 37(5): 96-105.
[11] 左逢源, 张玉琼, 赵强, 等. 计及源荷不确定性的综合能源生产单元运行调度与容量配置两阶段随机优化[J]. 中国电机工程学报, 2022, 42(22): 8205-8215.
ZUO F Y, ZHANG Y Q, ZHAO Q, et al.Two-stage stochastic optimization for operation scheduling and capacity allocation of integrated energy production unit considering supply and demand uncertainty[J]. Proceedings of the CSEE, 2022, 42(22): 8205-8215.
[12] 赵蕾. 考虑源荷不确定性的含氢综合能源系统优化调度研究[D]. 吉林: 东北电力大学, 2023.
ZHAO L.Research on optimal scheduling of hydrogen-containing integrated energy system considering source-load uncertianty[D]. Jilin: Northeast Dianli University, 2023.
[13] 邹云阳, 杨莉, 李佳勇, 等. 冷热电气多能互补的微能源网鲁棒优化调度[J]. 电力系统自动化, 2019, 43(14): 65-72.
ZOU Y Y, YANG L, LI J Y, et al.Robust optimal dispatch of micro-energy grid with multi-energy complementation of cooling heating power and natural gas[J]. Automation of electric power systems, 2019, 43(14): 65-72.
[14] 任永峰, 孟庆天, 祝荣, 等. 分散式风-氢用户群集成区域共享储能容量优化配置[J]. 太阳能学报, 2024, 45(5): 306-315.
REN Y F, MENG Q T, Zhu R, et al.Optimal capacity allocation of regional shared energy storage system integrating distributed wind-hydrogen user groups[J]. Acta energiae solaris sinica,2024, 45(5): 306-315.
[15] 孙惠娟, 刘昀, 彭春华, 等. 计及电转气协同的含碳捕集与垃圾焚烧虚拟电厂优化调度[J]. 电网技术, 2021, 45(9): 3534-3545.
SUN H J, LIU J, Peng C H, et al.Optimization scheduling of virtual power plant with carbon capture and waste incineration considering power-to-gas coordination[J]. Power system technology,2021,45(9):3534-3545.
[16] 彭苏萍, 杨志宾, 熊星宇, 等. 固体氧化物电池技术及其在新型电力系统中的应用前景[J]. 新型电力系统, 2023, 1(1): 66-73.
PENG S P, YANG Z B, XIONG X Y, et al.Solid oxide fuel technology and its application prospect in new power systems[J]. New type power systems, 2023, 1(1): 66-73.
[17] 梁俊鹏, 张高航, 李凤婷, 等. 计及氢储能与需求响应的路域综合能源系统规划方法[J]. 电网技术, 2024, 48(12): 4918-4927.
LIANG J P, ZHANG G H, LI F T, et al.Road-domain integrated energy system planning strategy considering hydrogen storage and demand response[J]. Power system technology, 2024, 48(12): 4918-4927.
[18] 李亚峰, 王维庆. 考虑阶梯碳交易机制的含混氢天然气综合能源系统容量配置[J]. 电力科学与技术学报, 2023, 38(6): 237-247.
LI Y F, WANG W Q.Capacity allocation of hydrogen-blended natural gas integrated energy system considering ladder carbon trading mechanism[J]. Journal of electric power science and technology, 2023, 38(6): 237-247.