Research of maximum capacity of grid-connected photovoltaic power station based on the “box” set robust optimization

Liang Wang, R. Zhou, Lin Huang
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引用次数: 5

Abstract

For the random fluctuating and intermittent nature of photovoltaic (PV) power generation, an optimization model with robust optimization theory, which maximizes PV power station, is proposed. The uncertainty of the solar irradiance is expressed by cassette uncertainty set in which the solar irradiance as a random variable. The optimizing dual theory simplifies the model into linear programming model and the uncertainty quantity of the constraint conditions is converted into the form of certainty quantity, so that it is easy to solve. To validate the effectiveness and feasibility of the proposed model, by use of Matlab toolbox the optimal solution and simulation of IEEE 30-bus system are carried out. The calculation show that maximum capacity of PV power station is impacted significantly by different solar radiation intensity and different nodes connected to grid.
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基于“盒”集鲁棒优化的光伏并网电站最大容量研究
针对光伏发电的随机波动和间歇性,提出了一种基于鲁棒优化理论的光伏电站优化模型。太阳辐照度的不确定度用盒式不确定度集表示,其中太阳辐照度为随机变量。优化对偶理论将模型简化为线性规划模型,并将约束条件的不确定性转化为确定性的形式,使其易于求解。为了验证所提模型的有效性和可行性,利用Matlab工具箱对IEEE 30总线系统进行了最优解和仿真。计算表明,不同的太阳辐射强度和不同的并网节点对光伏电站的最大容量影响较大。
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