微型光伏发电系统并网电能优化控制方案

Design for grid-connected power optimization control scheme of micro PV system

以微型光伏并网发电系统为研究对象,基于最小二乘支持向量机建立了光伏并网发电系统电能预测LS-SVM模型。在此基础上,以减少用户从电网获取电能,提高光伏电能利用率为目标,针对需求侧负荷用电管理,提出一种电能优化控制方案。通过实例计算分析显示,该方案可使用户从配电网获取电能减少10.36%,平均日减少碳排放量约618.8 kg,在保证光伏电能就地有效利用的同时,有效地提高了系统节能减排能力。

To study micro-grid-connected PV systems, a grid-connected power forecasting model has been established based on the least square support vector machine. On this basis, a power op- timization control scheme is proposed for demand-side load electricity management to improve the utilization of photovoltaic electricity and reduce usage of electricity gotten from the grid. Calcula- tion and analysis of the scheme show that the scheme can reduce user＇s power consumption from distribution networks up to 10.36%, and daily average reduction of carbon emissions is 618.8 kg. The scheme ensures utilization of solar energy effectively, and improves energy saving capabilities of the system.