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首页> 外文会议>Conference on the Domestic Use of Energy >Optimisation of residential solar PV system rating for minimum payback time using half-hourly profiling
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Optimisation of residential solar PV system rating for minimum payback time using half-hourly profiling

机译：使用半小时分析来优化住宅太阳能光伏系统的额定值，以实现最短的投资回收期

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There is increasing interest in the residential load sector in the installation of grid-connected solar photovoltaic (PV) renewable energy sources as means to reduce the cost of electricity imported from the grid. The research presented here proposes a mathematical model used with a direct search methodology to optimize the rating of a solar PV system, with the view to minimize payback time, for a residential system with given load profile. Half-hourly average energy profiles are used to model the solar generation profile and load profile. Results are presented for two case studies, using a representative daily solar generation profile and daily residential load profile. The case studies include determining the optimal PV system rating, i.e. with minimum payback time, for a system with a fixed load profile and for a system where load scheduling optimization is applied. The results show, that in each case, the direct search optimization algorithm can quickly determine the PV system rating with the minimum payback time. The effects of the load profile and solar generation profile characteristics on the payback time are explored using the concept of a solar utilization factor. It is shown that the utilization factor plays a critical role in improving payback time.
机译：在住宅负载领域，人们越来越关注安装并网的太阳能光伏（PV）可再生能源，以降低从电网进口的电力成本。此处提出的研究提出了一种数学模型，该模型与直接搜索方法一起用于优化具有给定负载曲线的住宅系统的太阳能光伏系统的额定值，以期最大程度地缩短投资回收期。半小时平均能源分布用于模拟太阳能发电分布和负荷分布。给出了两个案例研究的结果，使用了代表性的每日太阳能发电量分布图和每日住宅负荷分布图。案例研究包括确定具有固定负荷曲线的系统和应用负荷调度优化的系统的最佳光伏系统额定值，即以最短的投资回收期。结果表明，在每种情况下，直接搜索优化算法都可以以最短的投资回收时间快速确定光伏系统的等级。使用太阳能利用率系数的概念，探索了负荷曲线和太阳能发电曲线特性对投资回收期的影响。结果表明，利用率在缩短投资回收期中起着至关重要的作用。

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