针对设施农业产业园区在生产过程中能源得不到高效利用且能耗费用较高的问题,文章提出了一种计及风光就地消纳的设施农业产业园区综合能源系统(integrated energy system,IES)多目标优化调度方法。首先,建立了包含风-光-沼可再生能源的...针对设施农业产业园区在生产过程中能源得不到高效利用且能耗费用较高的问题,文章提出了一种计及风光就地消纳的设施农业产业园区综合能源系统(integrated energy system,IES)多目标优化调度方法。首先,建立了包含风-光-沼可再生能源的设施农业产业园区综合能源系统出力模型。然后,考虑多种约束条件,并以能耗费用最低与风光消纳率最大作为目标,利用基于反向学习的改进型多目标正余弦优化算法进行求解。最后,以某设施农业产业园区综合能源系统作为实际算例对所提方法进行了验证。结果表明,所提优化调度方法可有效降低园区日运行费用、提高风光就地消纳率。展开更多
The use of plant-protecting unmanned aerial vehicles(UAVs)for pesticide spraying is an essential operation in modern agriculture.The balance between reducing pesticide consumption and energy consumption is a significa...The use of plant-protecting unmanned aerial vehicles(UAVs)for pesticide spraying is an essential operation in modern agriculture.The balance between reducing pesticide consumption and energy consumption is a significant focus of current research in the path-planning of plant-protecting UAVs.In this study,we proposed a binarization multi-objective model for the irregular field area,specifically an improved non-dominated sorting genetic algorithm–II based on the knee point and plane measurement(KPPM-NSGA-ii).The binarization multi-objective model is applied to convex polygons,concave polygons and fields with complex terrain.The experiments demonstrated that the proposed KPPM-NSGA-ii can obtain better results than the unplanned path method whether the optimization of pesticide consumption or energy consumption is preferred.Hence,the proposed algorithm can save energy and pesticide usage and improve the efficiency in practical applications.展开更多
文摘针对设施农业产业园区在生产过程中能源得不到高效利用且能耗费用较高的问题,文章提出了一种计及风光就地消纳的设施农业产业园区综合能源系统(integrated energy system,IES)多目标优化调度方法。首先,建立了包含风-光-沼可再生能源的设施农业产业园区综合能源系统出力模型。然后,考虑多种约束条件,并以能耗费用最低与风光消纳率最大作为目标,利用基于反向学习的改进型多目标正余弦优化算法进行求解。最后,以某设施农业产业园区综合能源系统作为实际算例对所提方法进行了验证。结果表明,所提优化调度方法可有效降低园区日运行费用、提高风光就地消纳率。
基金funded by the National Natural Science Foundation of China(72274099 and 71974100)the Humanities and Social Sciences Fund of the Ministry of Education,China(22YJC630144)+1 种基金the Major Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province,China(2019SJZDA039)the Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(KYCX22_1244).
文摘The use of plant-protecting unmanned aerial vehicles(UAVs)for pesticide spraying is an essential operation in modern agriculture.The balance between reducing pesticide consumption and energy consumption is a significant focus of current research in the path-planning of plant-protecting UAVs.In this study,we proposed a binarization multi-objective model for the irregular field area,specifically an improved non-dominated sorting genetic algorithm–II based on the knee point and plane measurement(KPPM-NSGA-ii).The binarization multi-objective model is applied to convex polygons,concave polygons and fields with complex terrain.The experiments demonstrated that the proposed KPPM-NSGA-ii can obtain better results than the unplanned path method whether the optimization of pesticide consumption or energy consumption is preferred.Hence,the proposed algorithm can save energy and pesticide usage and improve the efficiency in practical applications.
