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Available transfer capability based on randomly generated probabilistic distribution function of wind speed using Monte Carlo simulation

机译:基于蒙特卡洛模拟的基于随机生成的风速概率分布函数的可用传输能力

摘要

Recent trend has focused on the importance of renewable energy resources in the electrical energy production system. Although a number of appealing advantages are expected, a large penetration of generation from renewable energy resources may cause some undesirable impact on system security and reliability due to the uncertainty of their generation output. One of the problems is the fluctuation character of wind energy where the output of wind power generation system is unpredictable due to the intermittent of wind speed. However, the probability of a particular wind speed occurring can be estimated. These can cause the output of a wind power plant is neither continuous nor controllable. Power system analysis should be able to cope with the influences resulting from the presence of this generation scheme. In this thesis, the influences of the integration of the renewable energy into power system via determination of Available Transfer Capability (ATC) are investigated. To calculate ATC incorporating wind generation, a power flow algorithm based on Newton-Raphson technique is used. The output of wind generation is determined by Monte Carlo Simulations (MCS). The limits considered in this work are bus voltage limit and line thermal limit. Meanwhile the power output of a Wind Turbine Generation (WTG) is obtained using the relationship between the power output and the wind speed. To model wind speed, common wind speed is used in terms of the mean and standard deviation of the wind speed. The proposed method has been applied on 5-bus system and IEEE 30-bus system. The result shows the improvement of ATC value due to inclusion of wind energy into the power system. For 5-bus system, the improvement of ATC value is about 0.28-2.56%, while for IEEE 30-bus system the improvement is about 10-23.53%. The ATC value will increase based on the variation of power output of wind energy. Meanwhile, WTG will contribute to the increase of ATC based on the available wind profile to compliment the contribution of ATC from conventional generation
机译:最近的趋势集中在可再生能源在电能生产系统中的重要性。尽管预期会有许多吸引人的优势,但是由于可再生能源的发电量的不确定性,可再生能源的大量发电可能会对系统安全性和可靠性产生一些不良影响。问题之一是风能的波动特性,其中由于风速的间歇性,风力发电系统的输出是不可预测的。但是,可以估计发生特定风速的可能性。这些会导致风力发电厂的输出既不连续也不可控。电力系统分析应该能够应对这种发电方案的存在所带来的影响。本文通过确定可用传输能力(ATC),研究了可再生能源融入电力系统的影响。为了计算结合风力发电的ATC,使用了基于牛顿-拉夫森技术的潮流算法。风力的输出由蒙特卡洛模拟(MCS)确定。在这项工作中考虑的极限是母线电压极限和线路热极限。同时,利用功率输出与风速之间的关系来获得风力涡轮发电机(WTG)的功率输出。为了模拟风速,根据风速的平均值和标准偏差来使用普通风速。所提出的方法已经应用于5总线系统和IEEE 30总线系统。结果表明,由于将风能纳入电力系统,ATC值有所提高。对于5总线系统,ATC值的改进约为0.28-2.56%,而对于IEEE 30总线系统,其改进约为10-23.53%。 ATC值将根据风能输出功率的变化而增加。同时,WTG将根据可用的风廓线为ATC的增加做出贡献,以补充传统发电对ATC的贡献

著录项

  • 作者

    A. Bakar Nor Amira;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 en
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