| 摘要: |
| 【目的】针对光伏木耳大棚的智能化管理和现代设施农业资源高效利用问题，设计光伏农业大棚供能系统和改造传统大棚控制方式。【方法】设计一种以光伏发电为主的光、水、热、储微能源网络和物联网智慧控制系统，建立数学模型分析能源需求和供应，同时利用控制系统为木耳生产、管理提供远程客户端服务。【结果】微能源网络系统中，光伏发电量为13 654 (kW·h)/a，占年总发电量的92%，直接用于需求侧负荷；水轮机发电量为1 108 (kW·h)/a，占年总发电量的8%，用于无光环境下的系统补能；盈余电能为5 109 (kW·h)/a，占年总发电量的34.6%，用于相变储热和蓄电池储能，或者送入配电网。控制系统采集点温度正常值设置为20～25 ℃，预警值设置为15～32 ℃，采集点空气相对湿度正常值设置为90%～95%，预警值设置为80%～98%，测试过程中通风系统、供热装置和报警系统正常工作。【结论】通过不同状态下微能源网络系统的功率调配，能够提高光伏大棚能源利用率，同时自动调控大棚环境参数，满足了木耳大棚远程遥控和预警要求。 |
| 关键词: 多能互补 微能源网络 木耳大棚 物联网 智慧控制系统 |
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| 基金项目:陕西省重点研发计划一般项目“基于光矿农互补技术的尾矿库污染土壤修复与资源综合利用研究”（2019SF-246）；国家重点研发计划项目“灌区用水量测与调控技术及设备”(2017YFC0403203) |
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| Design of intelligent control system for PV agaric greenhouse based on multi-energy complementation |
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GUO Lin,ZHANG Xiaocun,HAN Wenting,et al
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| Abstract: |
| 【Objective】An energy providing system was designed and traditional control method was reformed to meet the requirement of intelligent government of photovoltaic (PV) agaric greenhouse and high effective resource utilization in modern facility agriculture.【Method】The micro-energy network integrating light,water,heat and storage with priority to PV power generation and the IoT control system were constructed.The calculation model for analysis of energy demand and supply was constructed and the control system was used to provide remote service for agaric production and government.【Result】 In the micro energy network,PV electric power generation was 13 654 (kW·h)/a for demand side load directly,accounting for 92% of annual total.The power generated by hydro turbine was 1 108 (kW·h)/a,which accounted for 8% of annual total and can be used for energy compliment in no light environment.Electricity surplus was 5 109 (kW·h)/a with contribution of 34.6%,which can be used for heat storage in phase change,battery storage,or transmitting to electric distribution network.The normal temperature was set as 20－25 ℃ with alarm value of 15－32 ℃ in collection spots of the control system,and the normal relative air humidity normal was 90%－95% with alarm value of 80%－98%.The ventilation system,heating device and alarm system worked regularly during the test.【Conclusion】The power deploy of micro-energy network system in different conditions improved energy utilization in PV greenhouse and adjusted environmental parameters automatically,which could meet the requirements of remote control and early warning. |
| Key words: multi-energy complementation micro-energy network PV agaric greenhouses IoT intelligent control system |
