利用富余可再生能源进行清洁供热的最优规划
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摘要
利用富余的风电、光电等可再生能源进行清洁供热,是解决我国北方地区弃风弃光问题和燃煤供热环境污染问题的有效手段之一。清洁供热的规模过大或过小都不利于供电、供热总系统的节能减排。以供电、供热化石能源消耗总量最小为目标,将规划问题和运行问题相结合,建立最优规划模型,研究清洁供热规模、电供热装置容量和储热装置容量的优化配置。通过对实际电网数据进行仿真计算,得到了最优规划结果以及清洁供热系统的运行情况,分析了可再生能源特性及限制火电供热电量占比对优化结果的影响,为清洁供热系统的发展提供了指导。
Clean electric heating utilizing abundant renewable energy sources such as wind power and photovoltaic power is an effective approach to promote renewable energy accommodation as well as reduce pollution from coal heating in northern China. Either bigger or smaller scale of clean heating would lead to inefficient utilization of energy resources in integrated electricity-heat energy system. An optimal planning model to optimize the scale of clean heating, the capacities of electric heating devices and thermal storage devices is proposed. The objective is to minimize fossil energy consumption in the integrated electricity-heat energy system, and planning and operation issues are combined in the model. The simulation for an actual power grid shows the optimization results and the operation of clean heating system. Effects of renewable energy characteristics and constraints on thermal power outputs are analyzed. The model provides guidance for planning of clean heating system.
Clean electric heating utilizing abundant renewable energy sources such as wind power and photovoltaic power is an effective approach to promote renewable energy accommodation as well as reduce pollution from coal heating in northern China. Either bigger or smaller scale of clean heating would lead to inefficient utilization of energy resources in integrated electricity-heat energy system. An optimal planning model to optimize the scale of clean heating, the capacities of electric heating devices and thermal storage devices is proposed. The objective is to minimize fossil energy consumption in the integrated electricity-heat energy system, and planning and operation issues are combined in the model. The simulation for an actual power grid shows the optimization results and the operation of clean heating system. Effects of renewable energy characteristics and constraints on thermal power outputs are analyzed. The model provides guidance for planning of clean heating system.
引文
[1]国家能源局.2015年风电产业发展情况[EB/OL].[2018-04-01].http://www.nea.gov.cn/2016-02/02/c_135066586.htm.
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[13]程中林,江全元,葛延峰.基于合作博弈的相变储热容量优化配置及利益分配[J].电网技术,2017,41(9):2870-2878.Cheng Zhonglin,Jiang Quanyuan,Ge Yanfeng,et al.Capacity planning model of phase change thermal storage and profit distribution based on cooperation game[J].Power System Technology,2017,41(9):2870-2878(in Chinese).
[14]贾瑷玮.基于划分的聚类算法研究综述[J].电子设计工程,2014,22(23):38-41.Jia Aiwei.Survey on partitional clustering algorithms[J].Electronic Design Engineering,2014,22(23):38-41(in Chinese).
[15]陈新宇.促进风电消纳的电热综合能源集成系统模型与方法研究[D].北京:清华大学,2014.
[2]国家能源局.2015年光伏发电相关统计数据[EB/OL].[2018-04-01].http://www.nea.gov.cn/2016-02/05/c_135076636.htm.
[3]Meibom P,Kiviluoma J,Barth R,et al.Value of electric heat boilers and heat pumps for wind power integration[J].Wind Energy,2007,10(4):321-337.
[4]Lund H,Moller B,Mathiesen B V,et al.The role of district heating in future renewable energy systems[J].Energy,2010,35(3):1381-1390.
[5]Fitzgerald N,Foley A M,Mckeogh E.Integrating wind power using intelligent electric water heating[J].Energy,2012,48(1):135-143.
[6]徐飞,闵勇,陈磊,等.包含大容量储热的电-热联合系统[J].中国电机工程学报,2014,34(29):5063-5072.Xu Fei,Min Yong,Chen Lei,et al.Combined electricity-heat operation system containing large capacity thermal energy storage[J].Proceedings of the CSEE,2014,34(29):5063-5072(in Chinese).
[7]吕泉,李玲,朱全胜,等.三种弃风消纳方案的节煤效果与国民经济性比较[J].电力系统自动化,2015,39(7):75-83.LüQuan,Li Ling,Zhu Quansheng,et al.Comparison of coal-saving effect and national economic indices of three feasible curtailed wind power accommodating strategies[J].Automation of Electric Power Systems,2015,39(7):75-83(in Chinese).
[8]贺惠民,王海燕,任杰,等.利用风电弃风电量进行电能替代冬季供热的可行性研究[J].华北电力技术,2016(1):1-5.He Huimin,Wang Haiyan,Ren Jie,et al.Study on wind power accommodation by using curtailed wind power to heat for power alternative[J].North China Electric Power,2016(1):1-5(in Chinese).
[9]陈磊,徐飞,王晓,等.储热提升风电消纳能力的实施方式及效果分析[J].中国电机工程学报,2015,35(17):4283-4290.Chen Lei,Xu Fei,Wang Xiao,et al.Implementation and effect of thermal storage in improving wind power accommodation[J].Proceedings of the CSEE,2015,35(17):4283-4290(in Chinese).
[10]董今妮,孙宏斌,郭庆来,等.热电联合网络状态估计[J].电网技术,2016,40(6):1635-1641.Dong Jinni,Sun Hongbin,Guo Qinglai,et al.State estimation for combined electricity and heat networks[J].2016,40(6):1635-1641(in Chinese).
[11]邓佳乐,胡林献,邵世圻,等.电热联合系统多时间尺度滚动调度策略[J].电网技术,2016,40(12):3796-3802.Deng Jiale,Hu Linxian,Shao Shiqi,et al.Multi-time scale rolling scheduling method for combined heat and power system[J].Power System Technology,2016,40(12):3796-3802(in Chinese).
[12]丁明,刘新宇,解蛟龙,等.面向提高风电接纳能力的多区域热-电联合调度模型[J].中国电机工程学报,2017,37(14):4079-4088.Ding Ming,Liu Xinyu,Xie Jiaolong,et al.Research on heat and electricity coordinated dispatch model of multi-area for improving wind power accommodation ability[J].Proceedings of the CSEE,2017,37(14):4079-4088(in Chinese).
[13]程中林,江全元,葛延峰.基于合作博弈的相变储热容量优化配置及利益分配[J].电网技术,2017,41(9):2870-2878.Cheng Zhonglin,Jiang Quanyuan,Ge Yanfeng,et al.Capacity planning model of phase change thermal storage and profit distribution based on cooperation game[J].Power System Technology,2017,41(9):2870-2878(in Chinese).
[14]贾瑷玮.基于划分的聚类算法研究综述[J].电子设计工程,2014,22(23):38-41.Jia Aiwei.Survey on partitional clustering algorithms[J].Electronic Design Engineering,2014,22(23):38-41(in Chinese).
[15]陈新宇.促进风电消纳的电热综合能源集成系统模型与方法研究[D].北京:清华大学,2014.