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首页> 外文期刊>Renewable Power Generation, IET >Zonotope-based method for optimal allocation of wind capacity in microgrids considering generation uncertainty
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Zonotope-based method for optimal allocation of wind capacity in microgrids considering generation uncertainty

机译：考虑发电量不确定性的基于微区的风电最优分配方法

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摘要

The increasing wind capacity integration brings new challenges to power system planning and operation, due to the intermittency and uncertainty of its power generation. This study determines the optimal allocation of wind capacity in microgrids, with considerations of the impact of generation uncertainty on both static and dynamic performance of the system, for reducing the possible violations of operation limits caused by wind power fluctuations. The system performance under uncertainty is evaluated using a zonotope-based set-theoretic method. The uncertain variations of wind power are modelled by a zonotope, then the uncertainty sets of static and dynamic state variables, which capture all possible values of the system states, are further calculated by set operations and are embedded in the optimisation model as constraints for system performance. The proposed method is applied to a 33-bus microgrid; the results prove the validity of the method and show that the system can be guaranteed to operate within acceptable security regions in all possible situations when subjected to certain level of uncertainty.
机译：由于风力发电的间歇性和不确定性，不断增加的风能集成给电力系统的规划和运行带来了新的挑战。这项研究确定了微电网中风能的最佳分配，同时考虑了发电不确定性对系统静态和动态性能的影响，以减少因风电波动而可能违反运行极限的情况。使用基于区域同位素的集合论方法评估不确定性下的系统性能。风力发电的不确定性变化通过地带建模，然后捕获静态和动态状态变量的不确定性集，这些不确定性集捕获系统状态的所有可能值，并通过集合运算进一步进行计算，并将其作为对系统的约束嵌入优化模型中性能。所提出的方法适用于33总线微电网。结果证明了该方法的有效性，表明在一定程度的不确定性条件下，可以保证系统在所有可能的情况下都可以在可接受的安全区域内运行。

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