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Optimal sizing of a photovoltaic system for peak power shaving application

机译:调峰功率应用中光伏系统的最佳尺寸

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This paper is a study of variation of load of a small building and implementation of a Photovoltaic system to reduce the peak demand. Load forecasting in this paper uses input data dependent on parameters such as insolent radiation, temperature etc. A multi parameter regression model is used to model the monthly load profile of the system under study. The system under study is based on the electrical system associated with Jadavpur University Saltlake Campus, Kolkata India. An accurate PV module electrical model is presented based on Shockley Diode equation. For simulation purposes data for load temperature irradiance etc are obtained from locally measured values. Suitable assumptions are made with regards to temperature and insolent radiation so that accurate demand profile can be generated. Finally the optimal system size is determined by a Particle Swarm Optimization such that system cost and energy savings reach a breakeven over a period of few years
机译:本文是对小型建筑物的负荷变化的研究,以及为减少高峰需求而实施的光伏系统。本文的负荷预测使用的输入数据取决于诸如辐照辐射,温度等参数。多参数回归模型用于对所研究系统的每月负荷曲线进行建模。所研究的系统基于与印度加尔各答的贾达普布尔大学Saltlake校园相关的电气系统。基于肖克利二极管方程,给出了一种精确的光伏组件电模型。出于仿真目的,从局部测量值获得负载温度辐照度等数据。关于温度和辐射强度做出适当的假设,以便可以生成准确的需求曲线。最后,最佳系统尺寸是由粒子群优化算法确定的,这样几年内系统成本和节能量就可以达到收支平衡

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