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Optimization of grid tied hybrid power system in smart premises

机译：智能房屋中并网混合动力系统的优化

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Tapping of renewable energy sources like solar and wind is given great priority by power producers all over the world. Technical problems of linking them to the grid are solved. The cost constraints of utilizing renewable energy at specific locations are to be determined. In this work, a model is developed for grid tied hybrid power system (HPS) consisting of photovoltaic (PV) module and wind mill at the roof top of smart premises. The grid is capable of delivering and receiving energy. Objective function is formed with constraints taking into account the cost of PV module, wind mill, and grid tied inverter with controller. The constraints are rating of HPS and energy that can be delivered to the grid. Using this model, case studies were conducted in three locations in India, each location having two different demands. The results are presented. With the optimal rating of HPS, results shows that, conventional energy cost is higher.
机译：全世界的电力生产商都非常重视开发太阳能和风能等可再生能源。解决了将它们链接到网格的技术问题。确定在特定地点利用可再生能源的成本约束。在这项工作中，开发了一个用于并网混合动力系统（HPS）的模型，该模型由光伏（PV）模块和智能房屋屋顶上的风车组成。电网能够输送和接收能量。目标函数是在考虑了光伏模块，风车和带控制器的并网逆变器的成本的约束下形成的。约束条件是可以输送到电网的HPS和能量等级。使用该模型，在印度的三个地点进行了案例研究，每个地点都有两个不同的需求。显示结果。以HPS的最佳额定值，结果表明，常规能源成本较高。

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