含烟气储存装置的风电–垃圾焚烧虚拟电厂双阶段优化调度
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摘要
垃圾焚烧电厂的烟气处理能耗在总出力中占较大比例,其上网出力受到发电环节与烟气处理环节耦合关系的限制。通过加装储气装置,调控烟气处理时间,实现两者关系解耦,提高垃圾焚烧电厂在担任风电大规模并网配合电源时出力调整的灵活性。将风电厂、垃圾焚烧电厂、加装储气装置后的烟气处理系统聚合为虚拟电厂,以整体净收益最大化为目标,建立包含储气装置烟气处理系统子模型的日前–实时双阶段优化调度模型。以日前调度结果作为申报出力,根据风电实际出力与预测出力偏差,调整储气装置的烟气量,实时修正垃圾焚烧电厂的净出力,以跟随风电变化。仿真结果验证了所建模型的合理性,在实际应用中具有显著经济及社会价值。
The energy consumption for the flue gas treatment in the waste incineration power plant accounts for a large proportion of the plant's total power output, and its on-grid output is constrained by the coupling relationship between the power generation and the flue gas treatment. The relationship between the above two factors is decoupled through the installation of gas storage devices and controlling of the flue gas treatment time, so as to improve the flexibility of the waste incineration power plant in power output adjustment for grid-connection of large-scale wind power. The wind power plant, waste incineration power plant and the flue gas treatment system added with gas storage devices are integrated into a virtual power plant. Aiming at maximizing the overall net benefit, a day-ahead-real time two-stage optimal dispatching model is established, which includes the sub-model of flue gas treatment system with gas storage device. By using the day-ahead dispatching results as the report output, the amount of flue gas in the gas storage device is adjusted according to the deviation of actual and forecasted wind power output, and the net output of the waste incineration power plant is corrected in real time in order to follow the changes of wind power. Simulation results have verified the rationality of the proposed model, and the model has significant economic and social value in practical application.
The energy consumption for the flue gas treatment in the waste incineration power plant accounts for a large proportion of the plant's total power output, and its on-grid output is constrained by the coupling relationship between the power generation and the flue gas treatment. The relationship between the above two factors is decoupled through the installation of gas storage devices and controlling of the flue gas treatment time, so as to improve the flexibility of the waste incineration power plant in power output adjustment for grid-connection of large-scale wind power. The wind power plant, waste incineration power plant and the flue gas treatment system added with gas storage devices are integrated into a virtual power plant. Aiming at maximizing the overall net benefit, a day-ahead-real time two-stage optimal dispatching model is established, which includes the sub-model of flue gas treatment system with gas storage device. By using the day-ahead dispatching results as the report output, the amount of flue gas in the gas storage device is adjusted according to the deviation of actual and forecasted wind power output, and the net output of the waste incineration power plant is corrected in real time in order to follow the changes of wind power. Simulation results have verified the rationality of the proposed model, and the model has significant economic and social value in practical application.
引文
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[20]孙洪,胡剑宇,颜勇,等.基于风电-碳捕集虚拟电厂的环保经济调度[J].现代电力,2017,34(4):21-26.SUN Hong,HU Jianyu,YAN Yong,et al.Environmental economic dispatch based on virtual power plant with carbon capture unit and wind power[J].Modern Electricity,2017,34(4):21-26.
[2]李广彦.垃圾焚烧发电项目经济技术评价研究[D].天津:天津大学,2015.
[3]林海清.城市生活垃圾焚烧发电技术分析[J].低碳世界,2016(20):12-13.
[4]刘赤.基于模糊物元的垃圾焚烧发电PPP项目绩效评价[D].上海:华东交通大学,2017.
[5]覃丹丹.垃圾焚烧发电BOT项目特许期决策研究[D].重庆:重庆大学,2017.
[6]WANG S Q,TIONG R L K,TING S K,et al.Evaluation and management of foreign exchange and revenue risks in China’s Bot Projects[J].Construction Management and Economics,2000,18(2):197-207.
[7]姚张峰.公私合营(PPP)垃圾焚烧发电项目垃圾处理费定价研究[D].杭州:浙江理工大学,2017.
[8]龚燊,陈霜玲,赵联淼,等.垃圾焚烧发电厂烟气余热的回收利用[J].节能与环保,2016(6):67-69.
[9]WU Yuefeng.Comparison of optimization schemes for the flue gas purification system of a garbage incineration power plant[J].Meteorological and Environmental Research,2018,9(2):58-61,66.
[10]WEN Zongguo,DI Jinghan,LIU Shutong,et al.Evaluation of fluegas treatment technologies for municipal waste incineration:A case study in Changzhou,China[J].Journal of Cleaner Production,2018:184.
[11]胡利华,杨姝.垃圾焚烧电厂烟气净化系统效率分析[J].科技通报,2015,31(4):58-60.HU Lihua,YANG Shu.Analysis of flue gas purification system in waste incineration power plant[J].Science Bulletin,2015,31(4):58-60.
[12]李大中,唐影.垃圾焚烧发电污染物排放过程建模与优化[J].可再生能源,2015,33(1):118-123.LI Dazhong,TANG Ying.Modeling and optimization of pollutants emission of waste incineration[J].Renewable Energy Resources,2015,33(1):118-123.
[13]刘巨,姚伟,文劲宇,等.大规模风电参与系统频率调整的技术展望[J].电网技术,2014,38(3):638-646.LIU Ju,YAO Wei,WEN Jinyu,et al.Prospect of technology for large-scale wind farm participating into power grid frequency regulation[J].Power Grid Technology,2014,38(3):638-646.
[14]付忠广,齐敏芳.基于最大熵投影寻踪耦合的燃煤机组节能减排评价方法研究[J].中国电机工程学报,2014,34(26):4476-4482.FU Zhongguang,QI Minfang.Study on the evaluation method of energy-saving and emission reduction of coal-fired units based on projection pursuit method coupled with maximum entropy[J].Proceedings of the CSEE,2014,34(26):4476-4482.
[15]BIZUAYEHU A W,SANCHEZ DE LA NIETA A A,CONTRERASJ,et al.Impacts of stochastic wind power and storage participation on economic dispatch in distribution systems[J].IEEE Transactions on Sustainable Energy,2016,7(3):1336-1345.
[16]国家能源局发布2015年上半年全国风电并网运行情况[J].太阳能,2015(8):77.
[17]张高,王旭,蒋传文,等.采用双层优化调度的虚拟电厂经济性分析[J].电网技术,2016,40(8):2295-2302.ZHANG Gao,WANG Xu,JIANG Chuanwen,et al.Economic analysis of virtual power plants based on bi-level optimization dispatch[J].Power System Technology,2016,40(8):2295-2302.
[18]JU Liwei,LI Huanhuan,ZHAO Junwei,et al.Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response[J].Energy Conversion and Management,2016(128):160-177.
[19]曾曜,范长健.垃圾焚烧发电烟气排放标准及提高对策研究[J].环境保护与循环经济,2017,37(2):68-72.
[20]孙洪,胡剑宇,颜勇,等.基于风电-碳捕集虚拟电厂的环保经济调度[J].现代电力,2017,34(4):21-26.SUN Hong,HU Jianyu,YAN Yong,et al.Environmental economic dispatch based on virtual power plant with carbon capture unit and wind power[J].Modern Electricity,2017,34(4):21-26.