Bi-level Optimal Configuration for Flexible Resources of Multi-energy Microgrid Considering Storage Battery and P2H

TAN Qinliang, SHAN Zijing, DING Yihong, ZHANG Yimei

Electric Power Construction ›› 2023, Vol. 44 ›› Issue (2) : 38-49.

PDF(7762 KB)
PDF(7762 KB)
Electric Power Construction ›› 2023, Vol. 44 ›› Issue (2) : 38-49. DOI: 10.12204/j.issn.1000-7229.2023.02.004
Key Technology and Application of Flexible Distributed Energy Resources Oriented to New Power System ·Hosted by Associate Professor JU Liwei and Professor TAN Zhongfu·

Bi-level Optimal Configuration for Flexible Resources of Multi-energy Microgrid Considering Storage Battery and P2H

Author information +
History +

Abstract

The intermittence of high proportion of renewable energy further aggravates the insecure operation of power system, which makes flexible resources configuration more critical. Therefore, it is necessary to conduct research on flexible resources planning and configuration of power system. For the multi-energy microgrid, a bi-level collaborative optimization method of configuration and operation of flexible resources is proposed in this paper, considering the characteristics of storage battery and power to hydrogen (P2H) equipment. Taking the minimum total annual carbon emissions and the maximum comprehensive annual profit as the objective functions for the outer layer model, and choosing maximum daily operating profit for the inner layer model, a case study under electricity-hydrogen load is carried out. Then cost reduction scenarios of these two flexibility technologies is depicted, and economic, cleanliness and flexibility indices are designed to compare and evaluate the competitiveness of the two technologies in different conditions. The results show that the proposed optimal configuration method can prominently improve the environmental benefits of the microgrid with less economic cost. At present, compared with P2H technology, storage battery technology has overwhelming advantages, but the former will have greater profit margins and market potential in the future.

Key words

microgrid / bi-level optimization / storage battery / power to hydrogen (P2H)

Cite this article

Download Citations
Qinliang TAN , Zijing SHAN , Yihong DING , et al. Bi-level Optimal Configuration for Flexible Resources of Multi-energy Microgrid Considering Storage Battery and P2H[J]. Electric Power Construction. 2023, 44(2): 38-49 https://doi.org/10.12204/j.issn.1000-7229.2023.02.004

References

[1]
促进能源转型推动绿色发展[N]. 国家电网报, 2022-01-25(5).
[2]
中华人民共和国国民经济和社会发展第十四个五年规划和2035年远景目标纲要[EB/OL].(2021-03-13)[2022-01-12]. http://www.gov.cn/xinwen/2021-03/13/content_5592681.htm.
[3]
韩肖清, 李廷钧, 张东霞, 等. 双碳目标下的新型电力系统规划新问题及关键技术[J]. 高电压技术, 2021, 47(9): 3036-3046.
HAN Xiaoqing, LI Tingyun, ZHANG Dongxia, et al. New issues and key technologies of new power system planning under double carbon goals[J]. High Voltage Engineering, 2021, 47(9): 3036-3046.
[4]
YAMUJALA S, KUSHWAHA P, JAIN A, et al. A stochastic multi-interval scheduling framework to quantify operational flexibility in low carbon power systems[J]. Applied Energy, 2021, 304: 117763.1-117763.14.
[5]
杨经纬, 张宁, 王毅, 等. 面向可再生能源消纳的多能源系统: 述评与展望[J]. 电力系统自动化, 2018, 42(4): 11-24.
YANG Jingwei, ZHANG Ning, WANG Yi, et al. Multi-energy system towards renewable energy accommodation: review and prospect[J]. Automation of Electric Power Systems, 2018, 42(4): 11-24.
[6]
钟迪, 李启明, 周贤, 等. 多能互补能源综合利用关键技术研究现状及发展趋势[J]. 热力发电, 2018, 47(2): 1-5,55.
ZHONG Di, LI Qiming, ZHOU Xian, et al. Research status and development trends for key technologies of multi-energy complementary comprehensive utilization system[J]. Thermal Power Generation, 2018, 47(2): 1-5,55.
[7]
任智君, 郭红霞, 杨苹, 等. 含高比例可再生能源配电网灵活资源双层优化配置[J]. 太阳能学报, 2021, 42(9): 33-38.
REN Zhijun, GUO Hongxia, YANG Ping, et al. Double-layer optimal configuration of flexible resources with high proportion of renewable energy distribution network[J]. Acta Energiae Solaris Sinica, 2021, 42(9): 33-38.
[8]
牛焕娜, 钱立, 杨璐, 等. 计及灵活性辅助服务费用的配电网灵活型资源优化配置[J]. 电力自动化设备, 2021, 41(10): 52-59.
NIU Huanna, QIAN Li, YANG Lu, et al. Optimal allocation of flexible resources in distribution network considering cost of flexible auxiliary services[J]. Electric Power Automation Equipment, 2021, 41(10): 52-59.
[9]
朱晓荣, 鹿国微, 谢婉莹. 考虑源网荷灵活性资源的配电网储能鲁棒规划[J]. 电力自动化设备, 2021, 41(8): 8-16, 40.
ZHU Xiaorong, LU Guowei, XIE Wanying. Robust planning of energy storage in distribution network considering source-network-load flexible resources[J]. Electric Power Automation Equipment, 2021, 41(8): 8-16, 40.
[10]
廖政侃. 基于电力系统灵活资源成本最小化的风光容量配比方法[D]. 北京: 华北电力大学, 2021.
LIAO Zhengkan. Proportional allocation method of wind power and photovoltaic capacity based on minimizing cost of flexible resource in power system[D]. Beijing: North China Electric Power University, 2021.
[11]
蔡国伟, 西禹霏, 杨德友, 等. 基于风-氢的气电热联合系统模型的经济性能分析[J]. 太阳能学报, 2019, 40(5): 1465-1471.
CAI Guowei, XI Yufei, YANG Deyou, et al. Economic performance analysis of model of combined gas-heat-power system based on wind-hydrogen[J]. Acta Energiae Solaris Sinica, 2019, 40(5): 1465-1471.
[12]
李健. 电—热综合能源系统灵活性资源优化配置研究[D]. 大连: 大连理工大学, 2021.
LI Jian. Research on optimal configuration of flexible resources of integrated electric and heating energy system[D]. Dalian: Dalian University of Technology, 2021.
[13]
ZHOU J L, WU Y N, ZHONG Z M, et al. Modeling and configuration optimization of the natural gas-wind-photovoltaic-hydrogen integrated energy system: a novel deviation satisfaction strategy[J]. Energy Conversion and Management, 2021, 243: 114340.
[14]
卢炳文, 魏震波, 魏平桉, 等. 考虑消纳风电的区域综合能源系统电转气与储能设备优化配置[J]. 智慧电力, 2021, 49(5): 7-14, 68.
LU Bingwen, WEI Zhenbo, WEI Pingan, et al. Optimal configuration of PtG and energy storage equipment in regional integrated energy system considering wind power consumption[J]. Smart Power, 2021, 49(5): 7-14, 68.
[15]
侯慧, 刘鹏, 黄亮, 等. 考虑不确定性的电-热-氢综合能源系统规划[J]. 电工技术学报, 2021, 36(S1): 133-144.
HOU Hui, LIU Peng, HUANG Liang, et al. Planning of electricity-heat-hydrogen integrated energy system considering uncertainties[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 133-144.
[16]
李鹏, 韩建沛, 殷云星, 等. 电转氢作为灵活性资源的微网容量多目标优化配置[J]. 电力系统自动化, 2019, 43(17): 28-35, 139.
LI Peng, HAN Jianpei, YIN Yunxing, et al. Multi-objective optimal capacity configuration of microgrid with power to hydrogen as flexible resource[J]. Automation of Electric Power Systems, 2019, 43(17): 28-35, 139.
[17]
RAMLI M A M, BDUCHEKARA H RE H, ALGHAMDI A S. Optimal sizing of PV/wind/diesel hybrid microgrid system using multi-objective self-adaptive differential evolution algorithm[J]. Renewable Energy, 2018, 121: 400-411.
[18]
江卓翰, 刘志刚, 许加柱, 等. 计及风光储的冷热电联供系统双层协同优化配置方法[J]. 电力建设, 2021, 42(8): 71-80.
Abstract
冷热电联供(combined cooling, heat and power,CCHP)系统的高效、经济运行取决于CCHP系统设备容量和运行策略的整体优化。为提高CCHP系统的实用性,文章提出了一种计及风光储的CCHP系统双层协同优化配置方法:外层优化配置以年化总成本最优和污染物排放量最低为目标函数,采用NSGA Ⅱ算法获得设备的容量配置;内层优化配置中采用对偶理论构建鲁棒模型,以考虑污染物排放和购能成本的总运行成本最优为目标函数,得到各设备的优化调度结果。最后,以某园区的CCHP系统为研究对象,采用所提双层协同优化配置方法对该系统进行优化配置,仿真结果验证了所提方法的有效性,能够兼顾经济性和环保性,有效实现系统的协同优化。
JIANG Zhuohan, LIU Zhigang, XU Jiazhu, et al. Two-layer collaborative optimization configuration method for CCHP system with wind-solar-storage[J]. Electric Power Construction, 2021, 42(8): 71-80.

The efficient and economical operation of combined cooling, heat and power (CCHP) system depends on the overall optimization of the system’s equipment capacity and operating strategy. In order to improve the practicality of the CCHP, a two-layer collaborative optimization configuration method for the CCHP system considering wind power, solar power and energy storage is proposed. The optimized configuration of the outer layer aims at the best economic net present value and the lowest pollutant emissions as the objective function, and the NSGAⅡ algorithm is used to obtain the capacity configuration of the devices. The dual theory is used in the inner optimization configuration to build a robust model, and the optimal annual operating cost considering pollutant emissions and energy purchase costs is the objective function to obtain the optimal scheduling of each device. Finally, taking the CCHP system of a certain park as the research object, the double-layer collaborative optimization configuration method proposed in this paper is used to optimize the configuration of the system. The simulation results verify the effectiveness of the proposed method, which can effectively realize the collaborative optimization of the system with both economy and environmental protection.

[19]
张靠社, 冯培基, 张刚, 等. 考虑机会约束的多能源微电网双层优化配置[J]. 太阳能学报, 2021, 42(8): 41-48.
ZHANG Kaoshe, FENG Peiji, ZHANG Gang, et al. Bi-level optimization configuration method for multienergy microgrid considering chance constraints[J]. Acta Energiae Solaris Sinica, 2021, 42(8): 41-48.
[20]
YAN Y M, ZHANG H R, LIAO Q, et al. Roadmap to hybrid offshore system with hydrogen and power co-generation[J]. Energy Conversion and Management, 2021, 247: 114690.
[21]
郭成威, 田书, 张腾飞. 基于分布鲁棒优化的多源发电系统联合调度[J]. 电力系统及其自动化学报, 2022, 34(3): 109-115.
GUO Chengwei, TIAN Shu, ZHANG Tengfei. Joint dispatching of multi-source power generation system based on distributed robust optimization[J]. Proceedings of the CSU-EPSA, 2022, 34(3): 109-115.
[22]
李佳蓉, 林今, 邢学韬, 等. 主动配电网中基于统一运行模型的电制氢(P2H)模块组合选型与优化规划[J]. 中国电机工程学报, 2021, 41(12): 4021-4033.
LI Jiarong, LIN Jin, XING Xuetao, et al. Technology portfolio selection and optimal planning of power-to-hydrogen(P2H) modules in active distribution network[J]. Proceedings of the CSEE, 2021, 41(12): 4021-4033.
[23]
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 Tiejiang, CAO Jilei. Capacity optimization allocation of wind hydrogen low-carbon energy system considering wind power-load uncertainty[J]. High Voltage Engineering, 2022, 48(6): 2037-2044.
[24]
檀勤良, 丁毅宏, 李渝, 等. 考虑经济-环境平衡的风光火联合外送调度策略多目标优化[J]. 电力建设, 2020, 41(8): 129-136.
Abstract
风光火电联合调度运行是推动可再生能源发展的重要途径,并对发电调度策略提出了新要求。文章在经济环境平衡的原则下,以企业购电成本最小、可再生能源发电量最大、可再生能源出力波动最小为目标构建风光火电联合调度多目标优化模型,使用主要目标优先级法转成单目标规划后借助Lingo软件求解,并应用于天中直流输电工程的配套电源中,通过4个季节下的典型日调度结果对比分析,验证了所提出的优化模型在促进可再生能源消纳和节能减排方面的作用。此外,辅助服务费用纳入购电成本使得火电机组负荷分配更加平均。
TAN Qinliang, DING Yihong, LI Yu, et al. Multi-objective optimization of combined wind-solar-thermal power dispatching strategy considering economic-environmental equilibrium[J]. Electric Power Construction, 2020, 41(8): 129-136.
The combined dispatching and operation of wind-solar-thermal power system is an effective way to promote the development of renewable energy, which puts forward new requirements for power generation dispatching strategy. In this paper, under the principle of economic-environmental equilibrium, a multi-objective optimization model for combined dispatching of wind-solar-thermal power is constructed with the objectives of minimum power purchase cost, maximum renewable energy generation, and minimum fluctuation of renewable energy output. The main objective priority method is used to transform the model into single objective programming and then solved by Lingo software. The model is applied to the matching power supply of Tianzhong HVDC transmission project. Through the comparative analysis of typical daily dispatching results in four seasons, the role of the proposed optimization model in promoting renewable energy consumption, energy saving, and emission reduction is verified. In addition, the inclusion of auxiliary service fees into power purchase costs makes the load distribution of thermal power units more evenly.
[25]
梁吉, 左艺, 张玉琢, 等. 基于可再生能源配额制的风电并网节能经济调度[J]. 电网技术, 2019, 43(7): 2528-2534.
LIANG Ji, ZUO Yi, ZHANG Yuzhuo, et al. Energy-saving and economic dispatch of power system containing wind power integration under renewable portfolio standard[J]. Power System Technology, 2019, 43(7): 2528-2534.
[26]
张儒峰, 姜涛, 李国庆, 等. 考虑电转气消纳风电的电-气综合能源系统双层优化调度[J]. 中国电机工程学报, 2018, 38(19): 5668-5678.
ZHANG Rufeng, JIANG Tao, LI Guoqing, et al. Bi-level optimization dispatch of integrated electricity-natural gas systems considering P2G for wind power accommodation[J]. Proceedings of the CSEE, 2018, 38(19): 5668-5678.
[27]
熊宇峰, 陈来军, 郑天文, 等. 考虑电热气耦合特性的低碳园区综合能源系统氢储能优化配置[J]. 电力自动化设备, 2021, 41(9): 31-38.
XIONG Yufeng, CHEN Laijun, ZHENG Tianwen, et al. Optimal configuration of hydrogen energy storage in low-carbon park integrated energy system considering electricity-heat-gas coupling characteristics[J]. Electric Power Automation Equipment, 2021, 41(9): 31-38.
[28]
侯金鸣, 孙蔚, 肖晋宇, 等. 电力系统关键技术进步与低碳转型的协同优化[J]. 电力系统自动化, 2022, 46(13): 1-9.
HOU Jinming, SUN Wei, XIAO Jinyu, et al. Collaborative optimization of key technology progress and low-carbon transition of power systems[J]. Automation of Electric Power Systems, 2022, 46(13): 1-9.
[29]
中国氢能联盟. 中国氢能及燃料电池产业手册2020[M]. 北京: 中国氢能联盟, 2020.
China hydrogen and fuel cell industry handbook(2020)[M]. Beijing: China Hydrogen Alliance, 2020.
[30]
胡戎, 邱晓燕, 张志荣. 计及灵活性资源的交直流混合配电网双层优化[J]. 电网技术, 2022, 46(6): 2259-2268.
HU Rong, QIU Xiaoyan, ZHANG Zhirong. Bi-level optimization of AC/DC hybrid distribution network considering flexible resources[J]. Power System Technology, 2022, 46(6): 2259-2268.

Funding

Beijing Municipal Social Science Foundation(21GLB035)
PDF(7762 KB)

Accesses

Citation

Detail

Sections
Recommended

/