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PV-Based Distributed Generation Location Using Mixed Integer Non-linear Programming in Deregulated Electricity Market

机译:基于PV的分布式发电位置,使用混合整数非线性规划在解除管制电力市场中

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In this paper, a mixed integer nonlinear programming (MINLP) approach for determining optimal location and number of PV-based distributed generators in pool based electricity market is presented. For obtaining the PV output power, solar modeling has been carried out for a given data. The solar PV has been integrated into the system finding its optimal location and numbers based on the transmission loss minimization. The analysis has been carried out for IEEE 24 bus test system in pool electricity market model. The realistic load model as ZIP load has been considered and the results are compared for constant P, Q load model and ZIP and model. The non-linear mixed integer programming problem has been solved using MATLAB and GAMS interfacing.
机译:本文提出了一种用于确定基于池电力市场中的最佳位置和基于PV的分布式发电机的最佳位置和数量的混合整数非线性编程(MINLP)方法。为了获得PV输出功率,已经为给定数据执行了太阳能建模。 Solar PV已集成到系统中,基于传输损耗最小化找到其最佳位置和数字。池电力市场模型中的IEEE 24总线测试系统进行了分析。已经考虑了作为Zip负载的现实负载模型,并将结果进行了比较,以恒定的p,q负载模型和zip和模型进行比较。使用MATLAB和GAMS接口解决了非线性混合整数编程问题。

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