首页 | 本学科首页   官方微博 | 高级检索  
     

考虑生物质废物分类处理的微能源网运行优化模型
引用本文:滕云,孙鹏,回茜,陈哲.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.
作者姓名:滕云  孙鹏  回茜  陈哲
作者单位:沈阳工业大学电气工程学院,辽宁省沈阳市 110870;国网辽宁省电力有限公司营销服务中心,辽宁省沈阳市 110004;丹麦奥尔堡大学能源技术系,Aalborg DK-9220,丹麦
基金项目:国家重点研发计划资助项目(2017YFB0902100)。
摘    要:针对"无废城市"与能源互联网背景下不断提高的微能源网自治能力和多运行模式调节需求,建立含生物质废物处理设施的电?热?氢?气微能源网优化模型.首先,分析不同生物质废物分类处理方法,针对干垃圾建立热解气化发电模型,针对湿垃圾和粪污建立发酵制气模型.其次,建立以微能源网运行成本最低和生态效益最大为目标的多目标运行优化模型.考虑到微能源网的多能源源荷不确定性以及废物产生量的不确定性,提出一种微能源网鲁棒多目标优化算法.算例结果验证了所提出考虑生物质废物处理设备供能的微能源网优化运行模型在提高多能源微网运行经济性的同时,能够提升城市的废物处理能力,实现能源消费与环境治理的有效融合.

关 键 词:微能源网  生物质资源化利用  多源储能  垃圾分类  多目标优化
收稿时间:2020/7/26 0:00:00
修稿时间:2020/12/21 0:00:00

Optimal Operation Model of Micro-energy Network Considering Classification and Disposal of Biomass Waste
TENG Yun,SUN Peng,HUI Qian,CHEN Zhe.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.
Authors:TENG Yun  SUN Peng  HUI Qian  CHEN Zhe
Affiliation:1.School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China;2.Marketing Service Center of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110004, China;3.Department of Energy Technology, Aalborg University, Aalborg DK-9220, Denmark
Abstract:In view of the ever-increasing requirements for the micro-energy network autonomy and multiple operation modes in the background of zero-waste city and Energy Internet, an optimized model for the micro-energy network of electricity, heat, hydrogen and gas is established which contains the biomass waste disposal facilities. Firstly, different biomass waste classification and disposal methods are analyzed. The pyrolysis gasification power generation model is established for the residual waste, and the gas production model by fermentation is established for the food waste and manure. Secondly, a multi-objective operation optimization model is established with the objective of the lowest operation cost and the maximum ecological benefits of the micro-energy network. Taking into account the uncertainty of the multi-energy source and load of the micro-energy network and the uncertainty of the waste generation, a robust multi-objective optimization algorithm for the micro-energy network is proposed. Case studies verify that the proposed optimized operation model of the micro-energy network considering the energy supply of the biomass waste disposal equipment can improve the operation economy of the micro-energy network, while improving the urban waste disposal capacity and realizing the effective integration of the energy consumption and environmental governance.
Keywords:micro-energy network  biomass resource utilization  multi-energy storage  garbage classification  multi-objective optimization
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《电力系统自动化》浏览原始摘要信息
点击此处可从《电力系统自动化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号