标题： 基于太阳能预测的模型预测负载调度 显示英文标题

标题： Model Predictive Load Scheduling Using Solar Power Forecasting

摘要： 在本文中，开发了一个模型，用于基于（独立）太阳能电源的电力输送预测，解决（非线性）动态电负载的开/关调度问题。利用太阳能电力输出的变化知识，以最优地选择一组给定电负载的时机和组合，每个负载都有一个期望的动态功率轮廓。优化过程利用电负载的期望功率轮廓，包括动态功率上升/下降和每个负载的最小开/关时间，以跟踪有限数量的负载切换组合，在移动的有限预测范围内。随后，在有限数量的组合上评估用户指定的优化函数，可能包含电力约束，以实现实时计算负载的最佳时机和切换。对加州大学圣地亚哥分校具有切换动态和太阳能预测数据的电负载调度进行了案例研究。 显示英文摘要

摘要： In this paper a model is developed to solve the on/off scheduling of (non-linear) dynamic electric loads based on predictions of the power delivery of a (standalone) solar power source. Knowledge of variations in the solar power output is used to optimally select the timing and the combinations of a set of given electric loads, where each load has a desired dynamic power profile. The optimization exploits the desired power profiles of the electric loads in terms of dynamic power ramp up/down and minimum time on/off of each load to track a finite number of load switching combinations over a moving finite prediction horizon. Subsequently, a user-specified optimization function with possible power constraints is evaluated over the finite number of combinations to allow for real-time computation of the optimal timing and switching of loads. A case study for scheduling electric on/off loads with switching dynamics and solar forecast data at UC San Diego is carried out.