Planning of household renewable generation for improved energy utilization in microgrids

J. Ling, Ping-Hsun Liu
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Abstract

Installed capacity of solar photovoltaic and small size wind turbine at the residential microgrid gains promising growth in most developed countries. However, uncertain characteristic of intermittence and volatility is still one of significant factors to affect the effective operation, it should be well-conducted in the design of these distributed renewable resources. After considering household requirement of reliability and energy utilization, implicit behavior of the meteorological uncertainty has been managed by stochastic time series weather data to satisfy the objectives in planning of hybrid renewable generation system installed at residential customers. Some load management strategies are conducted to improve the energy utilization of green building with renewable power in the planning stage. The proposed simulation framework realizes the optimal installed capacity of residential renewable generation with storage device to achieve more effective energy utilization in future green building.
规划家庭可再生能源发电以改善微电网的能源利用
在大多数发达国家,住宅微电网的太阳能光伏和小型风力涡轮机装机容量都有很好的增长。然而,间歇性和波动性的不确定性仍然是影响其有效运行的重要因素之一,在对这些分布式可再生资源进行设计时应做好这一工作。在考虑用户可靠性需求和能源利用需求的基础上,利用随机时间序列天气数据对气象不确定性的隐含行为进行管理,以满足住宅用户安装的混合可再生能源发电系统的规划目标。为了提高可再生能源绿色建筑在规划阶段的能源利用率,提出了一些负荷管理策略。所提出的仿真框架实现了住宅可再生能源发电带储能装置的最优装机容量,从而在未来绿色建筑中实现更有效的能源利用。
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