基于云预报系统的柴油与光伏混合微电网光伏渗透优化

S. Dufrane, D. Zimmerle, G. Duggan
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引用次数: 1

摘要

本文讨论了如何通过云预报系统实现柴油-光伏混合微电网的高光伏渗透率。微电网控制系统利用云预测来预测光伏暂态和管理在线柴油发电。测试微电网的仿真结果表明,2兆瓦阵列的能量穿透率为30.8%,年故障为11.5次。此外,在此数组大小下实现了最大的投资回报。与传统的PV-diesel控制系统相比,有了这个预测系统,人们可以预期至少节省3.7%的柴油。
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Optimization of photovoltaic penetration for a hybrid diesel and photovoltaic micro-grid via means of a cloud forecasting system
This paper discusses how to achieve high PV penetrations for a hybrid diesel-PV micro-grid via the means of a cloud forecasting system. The micro-grid control system utilizes cloud forecasts to forecast PV transients and manage online diesel generation. Simulation results for the test micro-grid showed that an array size of 2 MW achieved an energy penetration of 30.8% with «11.5 annual faults. Additionally, the maximum return on investment was achieved at this array size. With this forecasting system, one could expect to save a minimum of 3.7% more diesel in comparison to a conventional PV-diesel control system.
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