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The stochastic optimal dispatch model considering the uncertain line failures events under extreme weather disasters

机译:考虑极端天气灾害下不确定线路故障事件的随机最优调度模型

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Over the past few years several large scale failures of power system due to natural disasters has caused great loss to national economy. They also aroused the consideration of power network secure operations with the respect to natural disaster. Given that the line failure caused by natural disaster is a low probability event, in this paper, we used Poisson distribution theory to depict the uncertainty of line failure. A stochastic power system optimal dispatch model based on chance constrained programming method is also proposed in this paper as well. To solve the stochastic optimization problems with chance constraints programming effectively and numerically, we used sample average approximation to convert the uncertain stochastic optimal dispatch problems into non-continuous, non-differentiable optimal problems first, then through an improved differential evolution algorithm to calculate the total cost of shedding loads and generation. The results of IEEE 9-bus case study show that the dispatch model can effectively consider the uncertain effect of power components under nature disaster. The methods presented in this paper also provides more reasonable dispatch plan for power system disaster prevention and reduction.
机译:在过去的几年中,自然灾害造成的几次大规模电力系统故障给国民经济造成了巨大损失。他们还引起了考虑自然灾害的电网安全运营的考虑。考虑到自然灾害造成的线路故障是低概率事件,本文采用泊松分布理论来描述线路故障的不确定性。本文还提出了一种基于机会约束规划方法的随机电力系统最优调度模型。为了通过机会约束编程有效地数值求解随机优化问题,我们采用样本平均逼近法将不确定的随机最优调度问题转换为非连续,不可微最优问题,然后通过改进的差分进化算法计算总和。减少负荷和发电的成本。 IEEE 9总线案例研究的结果表明,该调度模型可以有效地考虑自然灾害下电力组件的不确定性影响。本文提出的方法还为电力系统的防灾减灾提供了更为合理的调度方案。

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