计及海水制氢与生物质转化的海岛微能网随机调度优化模型

张哲宇, 刘力, 吴潇雨, 鞠立伟, 瞿斌, 刘谊

张哲宇, 刘力, 吴潇雨, 鞠立伟, 瞿斌, 刘谊. 计及海水制氢与生物质转化的海岛微能网随机调度优化模型[J]. 智慧电力, 2024, 52(8): 64-72.
引用本文: 张哲宇, 刘力, 吴潇雨, 鞠立伟, 瞿斌, 刘谊. 计及海水制氢与生物质转化的海岛微能网随机调度优化模型[J]. 智慧电力, 2024, 52(8): 64-72.
ZHANG Zhe-yu, LIU Li, WU Xiao-yu, JU Li-wei, JU Bin, LIU Yi. Optimization Model of Island Micro-energy Grid Stochastic Scheduling Considering Seawater Hydrogen Production and Biomass Conversion[J]. Smart Power, 2024, 52(8): 64-72.
Citation: ZHANG Zhe-yu, LIU Li, WU Xiao-yu, JU Li-wei, JU Bin, LIU Yi. Optimization Model of Island Micro-energy Grid Stochastic Scheduling Considering Seawater Hydrogen Production and Biomass Conversion[J]. Smart Power, 2024, 52(8): 64-72.

计及海水制氢与生物质转化的海岛微能网随机调度优化模型

基金项目: 

国家自然科学基金面上资助项目(72274060,52307088)~~

详细信息
    作者简介:

    张哲宇(1999),河南驻马店人,女,硕士就读,主要从事电力系统规划方面的研究工作

  • 中图分类号: TM734;TQ116.21

Optimization Model of Island Micro-energy Grid Stochastic Scheduling Considering Seawater Hydrogen Production and Biomass Conversion

  • 摘要: 为实现海岛地区能源需求的可再生和自我可持续性发展,结合海岛的丰富可再生资源特征,设计一种海岛微能网优化调度模型。聚合出力设备、生物质废能转化装置、海水淡化装置以及储能为微能网,考虑风、光不确定性,设计以运行成本、环境成本、风险值最小为目标的随机调度优化模型,并运用混合差分进化算法进行求解。算例分析表明,该模型实现了电-热-气-氢多能协同优化,提高了海岛风、光和生物质等可再生资源的利用率,促进可再生能源的可持续发展和能源结构的清洁低碳转型。
    Abstract: To achieve the renewable and self-sustainable energy requirements of island areas,a microgrid optimization scheduling model is designed in light of the rich renewable resources available on islands. The model aggregates output equipment,biomass waste conversion units,seawater desalination facilities and energy storage as part of the microgrid. Considering the uncertainties of wind and solar power,a stochastic scheduling optimization model is designed with the objectives of minimizing operational costs,environmental costs and risk values. This model is solved using a hybrid differential evolution algorithm. Case study analysis demonstrates that the model achieves multi-energy optimization for electricity,heating,gas and hydrogen,enhances the utilization rate of renewable resources such as wind,solar and biomass on islands,promotes the sustainable development of renewable energy and the clean and low-carbon transformation of energy structure.
  • [1] 王润治,王瑞琪,刘继彦,等.基于CNN-Bi-LSTM功率预测的海岛综合能源系统优化调度[J].全球能源互联网,2023,6(1):88-100.

    WANG Runzhi,WANG Rruiqi,LIU Jiyan,et al. Optimal dispatch of the island integrated energy system including power prediction based on CNN-Bi-LSTM[J].Journal of Global Energy Interconnection,2023,6(1):88-100.

    [2] 李飞宇,随权,林湘宁,等.考虑储电船舶参与的近海海岛灵活供能网络规划[J].中国电力,2022,55(11):10-20.

    LI Feiyu,SUI Quan,LIN Xiangning,et al. Flexible energy supply network planning for offshore islands considering participation of electric vessels[J].Electric Power,2022,55(11):10-20.

    [3] 刘任,刘洋,许立雄,等.计及分布式需求响应的多微电网系统协同优化策略[J].电力建设,2023,44(5):72-83.

    LIU Ren,LIU Yang,XU Lixiong,et al. Multi-microgrid system collaborative optimization strategy considering distributed demand response[J].Electric Power Construction,2023,44(5):72-83.

    [4] 郭旭升,文汀,林湘宁,等.面向多利益主体的清洁能源化大型离网海岛源储一体化优化定容[J].中国电机工程学报,2019,39(S1):1-14.

    GUO Xusheng,WEN Ting,LIN Xiangning,et al. Integration capacity optimization of multi-stakeholder generation-storage on large-scale off-grid island[J].Proceedings of the CSEE,2019,39(S1):1-14.

    [5]

    YANG S B,TAN Z F,LIU Z X,et al. A multi-objective stochastic optimization model for electricity retailers with energy storage system considering uncertainty and demand response[J].Journal of Cleaner Production,2020,277.

    [6] 赵雪楠,段凯悦,李萌,等.考虑调度决策非预期性的多阶段随机规划调度策略[J].电力建设,2022,43(10):87-97.

    ZHAO Xuenan,DUAN Kaiyue,LI Meng,et al. Scheduling strategy of multi-stage stochastic programming considering nonanticipativity of scheduling decision[J].Electric Power Construction,2022,43(10):87-97.

    [7] 鲁明芳,李咸善,李飞,等.季节性氢储能-混氢燃气轮机系统两阶段随机规划[J].中国电机工程学报,2023,43(18):6978-6992.

    LU Mingfang,LI Xianshan,LI Fei,et al. Two-stage stochastic programming of seasonal hydrogen energy storage and mixed hydrogen-fueled gas turbine system[J].Proceedings of the CSEE,2023,43(18):6978-6992.

    [8]

    YANG K Y,WANG Q P,ZHAO L. Two-stage stochastic programming for multi-objective optimization of sustainable utility systems integrating with combined heat and power units[J].Journal of Cleaner Production,2024,451:142143.

    [9]

    POULADKHAY M,MOGHADDAM M M,SAHAB A. A multiobjective two-stage stochastic programming approach for wind farms and demand side provider decisions using the weighted metric method[J].Sustainable Energy,Grids and Networks,2024,38:101300.

    [10] 刘志宏,邵振通,丛鹏,等.基于节点可靠性重要度评估的配网侧储能鲁棒规划方法[J].电网与清洁能源,2023,39(2):33-39,45.

    LIU Zhihong,SHAO Zhentong,CONG Peng,et al. A robust planning method for distribution-level energy storage based on nodal reliability importance assessment[J].Power System and Clean Energy,2023,39(2):33-39,45.

    [11] 张晓毅,高振峰,孙雷.源网荷储协同主动配电网分布鲁棒优化调度系统[J].电子设计工程,2023,31(24):113-117.

    ZHANG Xiaoyi,GAO Zhenfeng,SUN Lei. Distributed robust optimal dispatching system for active distribution network with source network load storage collaboration[J].Electronic Design Engineering,2023,31(24):113-117.

    [12] 汤东升,钟伟东,慕小斌,等.基于鲁棒模型的多站融合场景下综合能源系统全局低碳策略[J].电测与仪表,2022,59(6):113-121,180.

    TANG Dongsheng,ZHONG Weidong,MU Xiaobin,et al. Global low carbon strategy of integrated energy system in multi-station integration based on robust model[J].Electrical Measurement&Instrumentation,2022,59(6):113-121,180.

    [13] 魏梅芳,吴燕,黎跃龙,等.基于分布鲁棒优化的微电网日前经济运行模型与求解方法[J].电力系统及其自动化学报,2022,34(12):81-90.

    WEI Meifang,WU Yan,LI Yuelong,et al. Day-ahead economic operation model of microgrid and its solving method based on distributed robust optimization[J].Proceedings of the CSU-EPSA,2022,34(12):81-90.

    [14] 梁燕,宋巍,王尧,等.基于改进模糊均衡策略的碳循环虚拟电厂多目标鲁棒随机调度优化模型[J].电力建设,2023,44(8):82-94.

    LIANG Yan,SONG Wei,WANG Yao,et al. A multi-objective robust stochastic optimal dispatching model for carbon cycle virtual power plant based on improved fuzzy equilibrium strategy[J].Electric Power Construction,2023,44(8):82-94.

    [15] 孟令卓超,杨锡运,赵泽宇.考虑光-荷不确定性和旋转备用约束的主动配电网经济优化调度策略[J].电力建设,2022,43(11):63-72.

    MENG Lingzhuochao,YANG Xiyun,ZHAO Zeyu. An economic optimal dispatch strategy for active distribution networks considering photovoltaic-load uncertainty and rotating reserve constraints[J].Electric Power Construction,2022,43(11):63-72.

    [16] 黄海涛,田胜轩,余文昶,等.计及需求响应的MPIES多时空尺度鲁棒随机优化调度[J].电力系统及其自动化学报,2024,36(4):38-49,58.

    HUANG Haitao,TIAN Shengxuan,YU Wenchang,et al. Robust stochastic optimal scheduling of MPIES on multiple time-space scales considering demand response[J].Proceedings of the CSUEPSA,2024,36(4):38-49,58.

    [17] 方绍凤,周任军,许福鹿,等.考虑电热多种负荷综合需求响应的园区微网综合能源系统优化运行[J].电力系统及其自动化学报,2020,32(1):50-57.

    FANG Shaofeng,ZHOU Renjun,XU Fulu,et al. Optimal operation of integrated energy system for park micro-grid considering comprehensive demand response of power and thermal loads[J].Proceedings of the CSU-EPSA,2020,32(1):50-57.

    [18] 肖俊明,杨璐,朱永胜,等.考虑用户满意度的主动配电网多目标动态经济调度[J].可再生能源,2020,38(5):696-704.

    XIAO Junming,YANG Lu,ZHU Yongsheng,et al. Multi-objective dynamic economic dispatching of active distribution network considering user satisfaction[J].Renewable Energy Resources,2020,38(5):696-704.

    [19]

    FANG X,CUI H T,YUAN H Y,et al. Distributionally-robust chance constrained and interval optimization for integrated electricity and natural gas systems optimal power flow with wind uncertainties[J].Applied Energy,2019,252:113420.

    [20] 杨洁,吴志强,范宏.基于实时电价的含储能可再生能源系统协同调度策略[J].智慧电力,2023,51(4):46-53.

    YANG Jie,WU Zhiqiang,FAN Hong. Collaborative scheduling strategy for renewable energy systems with energy storage based on real time price[J].Smart Power,2023,51(4):46-53.

    [21] 朱庆,林慧婕,张宇峰.考虑风电消纳的含P2G-CCS虚拟电厂优化调度[J].智慧电力,2023,51(4):77-83.

    ZHU Qing,LIN Huijie,ZHANG Yufeng. Optimal scheduling of virtual power plants with P2G-CCS considering wind power consumption[J].Smart Power,2023,51(4):77-83.

    [22]

    MOSTAFA A,KARAR M,MOHAMED M F D,et al. Reliable and robust observer for simultaneously estimating state-of-charge and state-of-health of Li FePOsub4/sub batteries[J].Applied Sciences,2021,11(8):3609.

    [23] 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.

    [24] 朱一昕,王靖芸,毕恺韬,等.基于随机模型预测控制的数据中心微电网能量优化调度研究[J].智慧电力,2022,50(8):102-108.

    ZHU Yixin,WANG Jingyun,BI Kaitao,et al. Energy optimization dispatch of data center microgrid based on stochastic model predictive control[J].Smart Power,2022,50(8):102-108.

    [25] 邢晓敏,杜钧淇,李贻涛,等.海岛低碳综合能源微网优化方案设计[J].南方电网技术,2023,17(1):3-13.

    XING Xiaomin,DU Junqi,LI Yitao,et al. Optimization scheme design of island low-carbon integrated energy microgrid[J].Southern Power System Technology,2023,17(1):3-13.

    [26] 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. The optimization strategy for collaborative operation of multimicrogrids based on tiered carbon trading[J].Power System and Clean Energy,2023,39(11):28-39.

    [27] 王钰,郝毅,王磊,等.基于改进粒子群算法的多能微网多目标优化调度[J].电测与仪表,2023,60(11):29-36,59.

    WANG Yu,HAO Yi,WANG Lei,et al. Multi-objective optimal dispatching for multi-energy microgrid based on improved particle swarm optimization algorithm[J].Electrical Measurement&Instrumentation,2023,60(11):29-36,59.

    [28] 刘雪飞,庞凝,王云佳,等.农村综合能源系统多层协同优化运行方法[J].电力建设,2022,43(5):63-71.

    LIU Xuefei,PANG Ning,WANG Yunjia,et al. Multi-layer cooperative optimization operation method for rural integrated energy system[J].Electric Power Construction,2022,43(5):63-71.

    [29] 朱思嘉,余思雨,王戈,等.基于条件风险价值的电动汽车充电站规划[J].电测与仪表,2023,60(7):13-18,82.

    ZHU Sijia,YU Siyu,WANG Ge,et al. Research on charging station planning of EV based on CVaR[J].Electrical Measurement&Instrumentation,2023,60(7):13-18,82.

    [30] 李笑竹,陈来军,殷骏,等.面向低碳供能的多园区共享氢储能系统容量规划[J].高电压技术,2022,48(7):2534-2544.

    LI Xiaozhu,CHEN Laijun,YIN Jun,et al. Capacity planning of multiple parks shared hydrogen energy storage system for lowcarbon energy supply[J].High Voltage Engineering,2022,48(7):2534-2544.

    [31]

    JU L W,LU X L,YANG S B,et al. A multi-time scale dispatching optimal model for rural biomass waste energy conversion systembased micro-energy grid considering multi-energy demand response[J].Applied Energy,2022,327:120155.

    [32]

    KARMELLOS M,GEORGIOU P,MAVROTAS G. A comparison of methods for the optimal design of distributed energy systems under uncertainty[J].Energy,2019,178:318-333.

计量
  • 文章访问数:  0
  • HTML全文浏览量:  0
  • PDF下载量:  0
  • 被引次数: 0
出版历程
  • 收稿日期:  2024-01-10
  • 刊出日期:  2024-08-19

目录

    /

    返回文章
    返回