具有2种制冷方式的冷热电联产系统时序仿真算法
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Sequence simulation algorithm of CCHP system with two cooling modes
  • 作者:贾善杰 ; 安勇 ; 梁荣 ; 冯亮 ; 付春梅 ; 郑志杰 ; 邹斌
  • 英文作者:JIA Shanjie;AN Yong;LIANG Rong;FENG Liang;FU Chunmei;ZHENG Zhijie;ZOU Bin;Electric Power Economic and Technology Research Institute,State Grid Shandong Electric Power Company;State Grid Jinan Power Supply Company;School of Mechatronic Engineering and Automation,Shanghai University;
  • 关键词:冷热电联产 ; 最优运行策略 ; 时序仿真 ; 吸收式制冷 ; 电动制冷
  • 英文关键词:CCHP;;optimal operation strategy;;sequence simulation;;absorption cooling;;electric cooling
  • 中文刊名:DLZS
  • 英文刊名:Electric Power Automation Equipment
  • 机构:国网山东省电力公司经济技术研究院;国网济南供电公司;上海大学机电工程与自动化学院;
  • 出版日期:2019-01-09 11:21
  • 出版单位:电力自动化设备
  • 年:2019
  • 期:v.39;No.297
  • 语种:中文;
  • 页:DLZS201901022
  • 页数:5
  • CN:01
  • ISSN:32-1318/TM
  • 分类号:154-158
摘要
基于最优运行策略的分析,将具有2种制冷方式的冷热电联产系统的最优运行策略归结为5种运行策略,每种运行策略的设备出力可基于负荷平衡直接得到。提出了一种冷热电联产系统的时序仿真算法,该算法无需求解最优运行模型,实现了基于优化运行策略的仿真,具有明显的速度优势。基于实际系统的计算结果验证了所提算法的有效性。
        Based on the analysis of optimal operation strategy,the optimal operation strategies of the CCHP(Combined Cooling,Heating and Power) system with two cooling modes are generally attributed to five operation strategies,and the equipment output of each operation strategy can be obtained directly based on load balance. A sequence simulation algorithm for CCHP system is proposed,which can realize the simulations based on the optimal operation strategies without solving the optimal operation model and has the obvious speed advantage. The calculative results of an actual system verify the effectiveness of the proposed algorithm.
引文
[1]WANG J J,JING Y Y,ZHANG C F,et al. Performance comparison of combined cooling heating and power system in different operation modes[J]. Applied Energy,2011,88(12):4621-4631.
    [2]周孝信,鲁宗相,刘应梅,等.中国未来电网的发展模式和关键技术[J].中国电机工程学报,2014,34(29):4999-5008.ZHOU Xiaoxin,LU Zongxiang,LIU Yingmei,et al. Development models and key technologies of future grid in China[J]. Proceedings of the CSEE,2014,34(29):4999-5008.
    [3]周晓倩,余志文,艾芊,等.含冷热电联供的微网优化调度策略综述[J].电力自动化设备,2017,37(6):26-33.ZHOU Xiaoqian,YU Zhiwen,AI Qian,et al. Review of optimal dispatch strategy of microgrid with CCHP system[J]. Electric Power Automation Equipment,2017,37(6):26-33.
    [4]程林,张靖,黄仁乐,等.基于多能互补的综合能源系统多场景规划案例分析[J].电力自动化设备,2017,37(6):282-287.CHENG Lin,ZHANG Jing,HUANG Renle,et al. Case analysis of multi-scenario planning based on multi-energy complementation for integrated energy system[J]. Electric Power Automation Equipment,2017,37(6):282-287.
    [5]MAGO P J,FUMO N,CHAMRA L M. Performance analysis of CCHP and CHP systems operating following the thermal and electric load[J]. International Journal of Energy Research,2009,33(9):852-864.
    [6]LIU M X,SHI Y,FANG F. A new operation strategy for CCHP systems with hybrid chillers[J]. Applied Energy,2012,95:164-173.
    [7]ZHENG C Y,WU J Y,ZHAI X Q. A novel operation strategy for CCHP systems based on minimum distance[J]. Applied Energy,2014,128:325-335.
    [8]GUO L,LIU W J,CAI J J,et al. A two-stage optimal planning and design method for combined cooling,heat and power microgrid system[J]. Energy Conversion and Management,2013,74:433-445.
    [9]XU Z B,GUAN X H,JIA Q S,et al. Performance analysis and comparison on energy storage devices for smart building energy management[J]. IEEE Transactions on Smart Grid,2012,3(4):2136-2147.
    [10] RONG A Y,LAHDELMA R. An efficient envelope-based branch and bound algorithm for non-convex combined heat and power production planning[J]. European Journal of Operational Research,2007,183(1):412-431.
    [11]SASHIREKHA A,PASUPULETI J,MOIN N H,et al. Combined Heat and Power(CHP)economic dispatch solved using Lagrangian relaxation with surrogate subgradient multiplier updates[J]. International Journal of Electrical Power&Energy Systems,2013,44(1):421-430.
    [12]龙虹毓,徐瑞林,何国军,等.基于热电风电协调调度的系统日调峰能力分析[J].电力自动化设备,2013,33(4):30-34,54.LONG Hongyu,XU Ruilin,HE Guojun,et al. Analysis of peak-load regulation capability based on combined dispatch of wind power and thermal power[J]. Electric Power Automation Equipment,2013,33(4):30-34,54.
    [13]王成山,洪博文,郭力,等.冷热电联供微网优化调度通用建模方法[J].中国电机工程学报,2013,33(31):26-33.WANG Chengshan,HONG Bowen,GUO Li,et al. A general modeling method for optimal dispatch of combined cooling,heating and power microgrid[J]. Proceedings of the CSEE,2013,33(31):26-33.
    [14]张华一,文福拴,张璨,等.计及舒适度的家庭能源中心运行优化模型[J].电力系统自动化,2016,40(20):32-39.ZHANG Huayi,WEN Fushuan,ZHANG Can,et al. Operation optimization model of home energy hubs considering comfort level of customers[J]. Automation of Electric Power Systems,2016,40(20):32-39.
    [15]吴奎华,杨中源,梁荣,等.具有两种制冷方式的CCHP系统优化运行策略及其判别条件[J].电力系统自动化,2018,42(6):18-24,80.WU Kuihua,YANG Zhongyuan,LIANG Rong,et al. Optimal operation strategy and their discriminating conditions for CCHP systems with two cooling ways[J]. Automation of Electric Power Systems,2018,42(6):18-24,80.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700