计及多种柔性负荷的虚拟电厂热电联合鲁棒优化调度模型

针对热/电联合运行下多种柔性负荷协调优化不足以及面临的风、光出力和柔性负荷等多种不确定性,文章提出了一种考虑柔性负荷下的虚拟电厂(virtual power plant,VPP)热电联合鲁棒优化调度方法。充分考虑可削减、可平移、可转移柔性负荷之间的协调互补性,分别以热/电负荷曲线标准差和系统综合运行成本最低为目标,建立了虚拟电厂热电联合双层协调优化运行模型,提高了多种柔性负荷协调优化效果;并采用鲁棒优化方法处理风、光出力和柔性负荷预测误差的不确定性,提高热电系统运行的鲁棒性。多种柔性负荷的协调优化增强了系统的灵活调节能力,使经济性更优,不同鲁棒系数下柔性负荷优化效果的对比,为适应不同需求情景下的决策者提供参考依据。算例分析验证了所提模型的有效性。

Robust Optimal Scheduling Model of Virtual Power Plant Combined Heat and Power Considering Multiple Flexible Loads

Aiming at the lack of coordination and optimization of multiple flexible loads under combined heat and power operation and the uncertainties faced by wind, solar power, and flexible loads, a robust optimization scheduling method for virtual power plant(VPP)combined heat and power considering flexible loads is proposed. Fully considering the coordination and complementarity among the reduction, translation and transferable flexible loads, the standard deviations of the thermal and electric load curves and the lowest comprehensive operating cost of the system are chosen to be the goals, and a dual-layer coordinated optimization operation model of virtual power plant combined heat and power is established, which may improve the coordination and optimization effect of multiple flexible loads. The prediction error uncertainty of wind and solar power and flexible load is dealt with by the robust optimization method to improve the system operation robustness. The coordination and optimization of multiple flexible loads enhance the system's flexible adjustment capabilities and make the economy better. The comparison of the optimization effects of flexible loads under different robustness coefficients provides a reference for decision makers in different demand scenarios. The analysis of an example verifies the effectiveness of the proposed model.