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Optimal sizing of a photovoltaic system for peak power shaving application

机译:峰值电力剃料应用的光伏系统最佳施胶

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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载荷变化以及光伏系统的实现的研究,以降低峰值需求。本文的负载预测使用取决于惰性辐射,温度等的参数的输入数据。多参数回归模型用于模拟正在研究的系统的月载概况。研究中的系统基于与Jadavpur University Salllake Campus,加尔各答印度相关的电气系统。基于Shockley二极管方程提出了一种精确的PV模块电模型。对于仿真目的,可以从局部测量值获得负载温度辐照度的数据。关于温度和透过辐射的合适假设,从而可以产生准确的需求曲线。最后,最佳系统规模由粒子群优化确定,使得系统成本和节能在几年内到期

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