ORC余热发电中的电源能耗最低控制模型设计与实现
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摘要
为了最大程度减少ORC余热发电中的能源消耗,设计了一种电源能耗最低控制模型。规划所设计模型的总体结构,主要包括数据采集模块、数据存储模块、连接总线、控制模块等。通过数据采集电路对电压电流传感器采集到的ORC余热发电中的信号进行干扰过滤、放大及保护,对经处理后的数据采用AT24C08存储器进行存储。通过控制有效工作电压达到电源能耗最低控制的目的。软件部分采用C语言进行开发,介绍了系统软件设计主程序,编写了数据采集子程序与数据存储子程序的部分代码。实验结果表明,所设计模型不仅所需时间少,而且电源能耗最低控制性能较佳。
In order to minimize the energy consumption of ORC waste heat power generation,a minimum control model of power consumption is designed. The overall structure of the design model mainly includes the data acquisition module,data storage module,the connection bus,and control module,etc..Through the data acquisition circuit,the signal of the ORC waste heat power generation which is collected by the voltage and current sensor,is filtered,amplified and protected,and the processed data is stored in the AT24C08 memory. By controlling the effective working voltage the minimum control of power consumption is achieved. The software is developed in C language,the main program of the system software design is descried,and partial codes of the data acquisition sub-routine and data storage sub-routine are prepared. The experimental results show that the proposed model not only uses less time,but also has better control performance.
In order to minimize the energy consumption of ORC waste heat power generation,a minimum control model of power consumption is designed. The overall structure of the design model mainly includes the data acquisition module,data storage module,the connection bus,and control module,etc..Through the data acquisition circuit,the signal of the ORC waste heat power generation which is collected by the voltage and current sensor,is filtered,amplified and protected,and the processed data is stored in the AT24C08 memory. By controlling the effective working voltage the minimum control of power consumption is achieved. The software is developed in C language,the main program of the system software design is descried,and partial codes of the data acquisition sub-routine and data storage sub-routine are prepared. The experimental results show that the proposed model not only uses less time,but also has better control performance.
引文
[1]赵会茹,周佳,郭森,等.影响中长期电力需求的经济社会发展指标体系研究[J].陕西电力,2015,43(8):71-77.ZHAO Huiru,ZHOU Jia,GUO Sen,et al.Indicator system for economic and social development to impact long-term electricity demand[J].Shaanxi Electric Power,2015,43(8):71-77(in Chinese).
[2]单茂华,杨胜春,雍太有,等.风电大规模集中并网后的互联电网有功功率控制性能评价模型[J].中国电机工程学报,2015,35(13):3221-3230.SHAN Maohua,YANG Shengchun,YONG Taiyou,et al.An active power control performance evaluation model for interconnected power grid adapted to the large-scale wind power integration[J].Proceedings of the CSEE,2015,35(13):3221-3230(in Chinese).
[3]王慧,马新灵,孟祥睿,等.工质流量对ORC低温余热发电系统性能的影响[J].化工学报,2015(10):4185-4192.WANG Hui,MA Xinling,MENG Xiangrui,et al.Effect of mass flow rate on performance of organic rankine cycle for power generation system with low-temperature waste heat[J].CIESC Jorunal,2015(10):4185-4192(in Chinese).
[4]王宏岩,李英顺,王德彪,等.低能耗和低时延的无线传感器网络数据融合算法[J].电子设计工程,2013,21(7):47-50.WANG Hongyan,LI Yingshun,WANG Debiao,et al.Data aggregation algorithm for wireless sensor networks based on low-power and low-latency[J].Electronic Design Engineering,2013,21(7):47-50(in Chinese).
[5]秦文戈.ORC热水发电技术在芳烃联合装置中的应用[J].当代化工,2015,12(2):307-309.QIN Wenge.Application of ORC hot water power generation technology in aromatic complex unit[J].Contemporary Chemical Industry,2015,12(2):307-309(in Chinese).
[6]狄育慧,陈爱娟,王利端.玻璃幕墙对室内热环境与能耗的影响[J].西安工程大学学报,2014,28(1):50-54.DI Yuhui,CHEN Aijuan,WANG Liduan.The influence of glass curtain wall on the indoor thermal environment and energy consumption[J].Journal of Xi’an Polytechnic University,2014,28(1):50-54(in Chinese).
[7]王海峰,曹云鹏.GPU集群能耗优化控制模型研究[J].电子学报,2015,24(10):1904-1910.WANG Haifeng,CAO Yunpeng.Power consu mption optimization control model of GPU clusters[J].Acta Electronica Sinica,2015,24(10):1904-1910(in Chinese).
[8]刘艳章,杨可林,王湘艳,等.变速恒频风力发电机组中长期时间尺度建模[J].电网与清洁能源,2014,30(10):111-118.LIU Yanzhang,YANG Kelin,WANG Xiangyan,et al.Medium and long-term time scale modeling for variable speed constant frequency wind turbines[J].Advances of Power System&Hydroelectric Engineering,2014,30(10):111-118(in Chinese).
[9]王海峰,陈庆奎.多指标自趋优的GPU集群能耗控制模型[J].计算机研究与发展,2015,52(1):105-115.WANG Haifeng,CHEN Qingkui.Multi-indices selfapproximate optimal power consumption control model of GPU clusters[J].Journal of Computer Research and Development,2015,52(1):105-115(in Chinese).
[10]刘敏,吴荣华,杨启容.热泵系统的输送能耗与经济比摩阻[J].节能技术,2014,32(6):487-491.LIU Min,WU Ronghua,YANG Qirong.Transportation energy consumption and economical specific frictional resistance design of sewage heat pump system[J].Energy Conservation Technology,2014,32(6):487-491(in Chinese).
[11]杨勇平,付鹏,王宁玲,等.基于改进单耗理论的火电机组能耗基准状态精细表征[J].华北电力大学学报(自然科学版),2015,42(3):56-63.YANG Yongping,FU Peng,WANG Ningling,et al.Detailed mechanism of energy-consumption benchmark in coal-fired units based on improved fuel specific consumption theory[J].Journal of North China Electric Power University(Natural Science Edition),2015,42(3):56-63(in Chinese).
[2]单茂华,杨胜春,雍太有,等.风电大规模集中并网后的互联电网有功功率控制性能评价模型[J].中国电机工程学报,2015,35(13):3221-3230.SHAN Maohua,YANG Shengchun,YONG Taiyou,et al.An active power control performance evaluation model for interconnected power grid adapted to the large-scale wind power integration[J].Proceedings of the CSEE,2015,35(13):3221-3230(in Chinese).
[3]王慧,马新灵,孟祥睿,等.工质流量对ORC低温余热发电系统性能的影响[J].化工学报,2015(10):4185-4192.WANG Hui,MA Xinling,MENG Xiangrui,et al.Effect of mass flow rate on performance of organic rankine cycle for power generation system with low-temperature waste heat[J].CIESC Jorunal,2015(10):4185-4192(in Chinese).
[4]王宏岩,李英顺,王德彪,等.低能耗和低时延的无线传感器网络数据融合算法[J].电子设计工程,2013,21(7):47-50.WANG Hongyan,LI Yingshun,WANG Debiao,et al.Data aggregation algorithm for wireless sensor networks based on low-power and low-latency[J].Electronic Design Engineering,2013,21(7):47-50(in Chinese).
[5]秦文戈.ORC热水发电技术在芳烃联合装置中的应用[J].当代化工,2015,12(2):307-309.QIN Wenge.Application of ORC hot water power generation technology in aromatic complex unit[J].Contemporary Chemical Industry,2015,12(2):307-309(in Chinese).
[6]狄育慧,陈爱娟,王利端.玻璃幕墙对室内热环境与能耗的影响[J].西安工程大学学报,2014,28(1):50-54.DI Yuhui,CHEN Aijuan,WANG Liduan.The influence of glass curtain wall on the indoor thermal environment and energy consumption[J].Journal of Xi’an Polytechnic University,2014,28(1):50-54(in Chinese).
[7]王海峰,曹云鹏.GPU集群能耗优化控制模型研究[J].电子学报,2015,24(10):1904-1910.WANG Haifeng,CAO Yunpeng.Power consu mption optimization control model of GPU clusters[J].Acta Electronica Sinica,2015,24(10):1904-1910(in Chinese).
[8]刘艳章,杨可林,王湘艳,等.变速恒频风力发电机组中长期时间尺度建模[J].电网与清洁能源,2014,30(10):111-118.LIU Yanzhang,YANG Kelin,WANG Xiangyan,et al.Medium and long-term time scale modeling for variable speed constant frequency wind turbines[J].Advances of Power System&Hydroelectric Engineering,2014,30(10):111-118(in Chinese).
[9]王海峰,陈庆奎.多指标自趋优的GPU集群能耗控制模型[J].计算机研究与发展,2015,52(1):105-115.WANG Haifeng,CHEN Qingkui.Multi-indices selfapproximate optimal power consumption control model of GPU clusters[J].Journal of Computer Research and Development,2015,52(1):105-115(in Chinese).
[10]刘敏,吴荣华,杨启容.热泵系统的输送能耗与经济比摩阻[J].节能技术,2014,32(6):487-491.LIU Min,WU Ronghua,YANG Qirong.Transportation energy consumption and economical specific frictional resistance design of sewage heat pump system[J].Energy Conservation Technology,2014,32(6):487-491(in Chinese).
[11]杨勇平,付鹏,王宁玲,等.基于改进单耗理论的火电机组能耗基准状态精细表征[J].华北电力大学学报(自然科学版),2015,42(3):56-63.YANG Yongping,FU Peng,WANG Ningling,et al.Detailed mechanism of energy-consumption benchmark in coal-fired units based on improved fuel specific consumption theory[J].Journal of North China Electric Power University(Natural Science Edition),2015,42(3):56-63(in Chinese).