考虑乡村生产生活碳排放的乡镇微能源网多目标优化Multi-objective optimization of township micro-energy network considering carbon emission from production and living in rural areas
吴蓉,候宝宇,俞阳,郑樟磊,郑辉,黄炎阶
WU Rong,HOU Baoyu,YU Yang,ZHENG Zhanglei,ZHENG Hui,HUANG Yanjie
摘要(Abstract):
基于乡村振兴和碳达峰、碳中和背景,建立乡镇微能源网模型。首先,结合乡村能源特点建立垃圾发电和污泥厌氧发酵制沼气设备的数学模型,并考虑乡村交通业和旅游业的发展建立乡村电动汽车负荷预测模型。其次,针对种植业、养殖业和外购能源的碳排放进行建模,同时考虑生活垃圾处理、沼气外送和电动汽车电能替代的减碳量,对乡村生产生活中的碳排放特性进行描述。最后,以乡镇微能源网用能成本最低和碳排放最低为目标函数,利用法线边界交叉法和优劣解距离法求解多目标优化问题,并通过具体算例得到乡镇在兼顾经济性和低碳性前提下的最优用能决策,分析乡村特色能源设备的作用,为推动构建“零碳乡村”提供理论依据。
In the context of rural revitalization and carbon peaking and carbon neutrality goals, a model of township micro-energy network is established. Firstly, the mathematical models of garbage power generation and biogas production from anaerobic digestion of sludge are built in view of the characteristics of energy in rural areas. An electric vehicle load prediction model is established considering the development of rural transportation industry and tourism. Secondly, the carbon emissions from farming, breeding, and purchased energy are modeled, and the carbon reduction from domestic waste treatment, biogas export, and electric vehicle are also considered to illustrate the carbon emission characteristics from production and living in rural areas. Finally, with the lowest energy cost and lowest carbon emission of the township micro-energy network as the objective functions, the multi-objective optimization problem is solved using the normal boundary intersection(NBI) and the TOPSIS. The optimal energy consumption decision of the township under the premise of economy and low carbon is obtained through specific cases. The role of energy equipment with rural characteristics is analyzed to provide a theoretical basis for promoting the construction of zero-carbon villages.
关键词(KeyWords):
乡村振兴;零碳乡村;碳排放;乡镇微能源网;多目标优化
rural revitalization;zero-carbon village;carbon emission;township micro-energy network;multiobjective optimization
基金项目(Foundation): 国网浙江省电力有限公司科技项目(B311QZ220003)
作者(Author):
吴蓉,候宝宇,俞阳,郑樟磊,郑辉,黄炎阶
WU Rong,HOU Baoyu,YU Yang,ZHENG Zhanglei,ZHENG Hui,HUANG Yanjie
DOI: 10.19585/j.zjdl.202305010
参考文献(References):
- [1]徐小舒.《加快农村能源转型发展助力乡村振兴的实施意见》发布实现农村能源用得上用得起用得好[J].农村电工,2022,30(2):1.XU Xiaoshu.“Implementation opinions on accelerating the transformation and development of rural energy to help rural revitalization” was issued to realize that rural energy is affordable and well used[J]. Rural Electrician,2022,30(2):1.
- [2]金璐,何伟,闫华光,等.考虑多评价指标的可再生微能源网双层优化配置[J].电测与仪表,2022,59(2):112-119.JIN L,HE W,YAN H G,et al.Double-layer optimal allocation of renewable micro-energy network considering multiple evaluation indices[J].Electrical Measurement&Instrumentation,2022,59(2):112-119.
- [3]张笑演,熊厚博,王楚通,等.基于最优出力区间和碳交易的园区综合能源系统灵活经济调度[J].电力系统自动化,2022,46(16):72-83.ZHANG Xiaoyan,XIONG Houbo,WANG Chutong,et al. Flexible economic dispatching of park-level integrated energy system based on optimal power output interval and carbon trading[J].Automation of Electric Power Systems,2022,46(16):72-83.
- [4]丁曦,张笑演,王胜寒,等.双碳目标下考虑最优建设时序的区域综合能源系统低碳规划[J].高电压技术,2022,48(7):2584-2596.DING Xi,ZHANG Xiaoyan,WANG Shenghan,et al.Low-carbon planning of regional integrated energy system considering optimal construction timing under dual carbon goals[J].High Voltage Engineering,2022,48(7):2584-2596.
- [5]金红洋,滕云,冷欧阳,等.基于源荷不确定性状态感知的无废城市多能源协调储能模型[J].电工技术学报,2020,35(13):2830-2842.JIN Hongyang,TENG Yun,LENG Ouyang,et al.Multienergy coordinated energy storage model in zero-waste cities based on situation awareness of source and load uncertainty[J].Transactions of China Electrotechnical Society,2020,35(13):2830-2842.
- [6]滕云,孙鹏,回茜,等.考虑生物质废物分类处理的微能源网运行优化模型[J].电力系统自动化,2021,45(15):55-63.TENG Yun,SUN Peng,HUI Qian,et al.Optimal operation model of micro-energy network considering classification and disposal of biomass waste[J].Automation of Electric Power Systems,2021,45(15):55-63.
- [7]杨欢红,谢明洋,黄文焘,等.含废物处理的城市综合能源系统低碳经济运行策略[J].电网技术,2021,45(9):3545-3552.YANG Huanhong,XIE Mingyang,HUANG Wentao,et al.Low-carbon economic operation of urban integrated energy system including waste treatment[J].Power System Technology,2021,45(9):3545-3552.
- [8]李守强,刘宗歧,王静,等.计及热网损耗的乡镇生物质能综合能源系统两阶段优化运行[J].电力自动化设备,2021,41(4):24-32.LI Shouqiang,LIU Zongqi,WANG Jing,et al.Two-stage operation optimization of rural biomass energy integrated energy system considering heat network loss[J]. Electric Power Automation Equipment,2021,41(4):24-32.
- [9]魏中辉,付学谦,周亚中,等.考虑农作物生理特性的农业园区能源互联网综合安全分析[J].电网技术,2022,46(9):3406-3416.WEI Zhonghui,FU Xueqian,ZHOU Yazhong,et al.Comprehensive security analysis of energy Internet in agricultural park considering physiological characteristics of crops[J].Power System Technology,2022,46(9):3406-3416.
- [10] LI C B,YANG H Y,SHAHIDEHPOUR M,et al.Optimal planning of islanded integrated energy system with solar-biogas energy supply[J].IEEE Transactions on Sustainable Energy,2020,11(4):2437-2448.
- [11]滕云,孙鹏,张明理,等.基于农村新型产业结构的“能源-环境-经济”鲁棒优化模型[J].中国电机工程学报,2022,42(2):614-631.TENG Yun,SUN Peng,ZHANG Mingli,et al.Robust optimization model of “energy-environment-economy” based on the new rural industrial structure[J].Proceedings of the CSEE,2022,42(2):614-631.
- [12]徐嫣,郭锋.提升电能替代管理水平助力乡村电气化建设[J].农电管理,2020(9):57-58.XU Yan,GUO Feng.Improving the management level of electric energy substitution to help rural electrification construction[J].Rural Power Management,2020(9):57-58.
- [13]冯智慧,吕林,许立雄.基于能量枢纽的沼-风-光全可再生能源系统日前-实时两阶段优化调度模型[J].电网技术,2019,43(9):3101-3109.FENG Zhihui,LüLin,XU Lixiong. Two-stage optimal dispatch model of day-ahead and real-time for biogas-windsolar fully renewable energy system based on energy hub[J].Power System Technology,2019,43(9):3101-3109.
- [14]李淑夏.基于污泥厌氧发酵多能互补热电联产系统研究[D].青岛:青岛理工大学,2016.LI Shuxia. Study on multi-energy complementary cogeneration system based on sludge anaerobic fermentation[D].Qingdao:Qingdao Tehcnology University,2016.
- [15]王浩林,张勇军,毛海鹏.基于时刻充电概率的电动汽车充电负荷预测方法[J].电力自动化设备,2019,39(3):207-213.WANG Haolin,ZHANG Yongjun,MAO Haipeng.Charging load forecasting method based on instantaneous charging probability for electric vehicles[J].Electric Power Automation Equipment,2019,39(3):207-213.
- [16] HUANG L,ZHANG X Y,DING X,et al. Analysis of commercial model of park-level integrated energy system participating in carbon trading considering electric vehicles[C]//2021 International Conference on Power System Technology(POWERCON).Haikou,China:IEEE,2022:26-32.
- [17] KIM I Y,DE WECK O L. Adaptive weighted-sum method for bi-objective optimization:Pareto front generation[J]. Structural and Multidisciplinary Optimization,2005,29(2):149-158.
- [18] MAVROTAS G. Effective implementation of the ε-constraint method in multi-objective mathematical programming problems[J]. Applied Mathematics and Computation,2009,213(2):455-465.
- [19]王瑾然,卫志农,张勇,等.计及不确定性的区域综合能源系统日前多目标优化调度[J].电网技术,2018,42(11):3496-3506.WANG Jinran,WEI Zhinong,ZHANG Yong,et al.Multiobjective optional day-ahead dispatching for regional integrated energy system considering uncertainty[J]. Power System Technology,2018,42(11):3496-3506.
- [20]曹严,穆云飞,贾宏杰,等.考虑建设时序的园区综合能源系统多阶段规划[J].中国电机工程学报,2020,40(21):6815-6828.CAO Yan,MU Yunfei,JIA Hongjie,et al. Multi-stage planning of park-level integrated energy system considering construction time sequence[J]. Proceedings of the CSEE,2020,40(21):6815-6828.
- 乡村振兴
- 零碳乡村
- 碳排放
- 乡镇微能源网
- 多目标优化
rural revitalization - zero-carbon village
- carbon emission
- township micro-energy network
- multiobjective optimization