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首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Maximum wind energy contribution in autonomous electrical grids based on thermal power stations
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Maximum wind energy contribution in autonomous electrical grids based on thermal power stations

机译:基于火力发电站的自主电网中最大的风能贡献

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摘要

Greek islands cover their continuously increasing electricity demand on the basis of small autonomous thermal power stations. This electrification solution is related with increased operational cost and power insufficiency, especially during summer. On the other hand, the stochastic behaviour of the wind and the important fluctuations of daily and seasonal electricity load in almost all Greek islands pose a substantial penetration limit for the exploitation of the high wind potential of the area. In this context, the present study is concentrated on developing an integrated methodology which can estimate the maximum wind energy contribution to the existing autonomous electrical grids, using the appropriate stochastic analysis. For this purpose one takes into account the electrical demand probability density profile of every island under investigation as well as the operational characteristics of the corresponding thermal power stations. Special attention is paid in order to protect the existing internal combustion engines from unsafe operation below their technical minima as well as to preserve the local system active power reserve and the corresponding dynamic stability. In order to increase the reliability of the results obtained, one may use extensive information for several years. Finally, the proposed study is integrated with an appropriate parametrical analysis, investigating the impact of the main parameters variation on the expected maximum wind energy contribution.
机译:希腊群岛依靠小型自治火力发电站满足其不断增长的电力需求。这种电气化解决方案与运营成本增加和电力不足有关,尤其是在夏季。另一方面,几乎所有希腊岛屿的风的随机行为以及每日和季节性电力负荷的重要波动,对该地区高风能的利用构成了实质性的渗透极限。在这种情况下,本研究着重于开发一种集成方法,该方法可以使用适当的随机分析来估计对现有自治电网的最大风能贡献。为此,要考虑到每个被调查岛的电力需求概率密度分布以及相应的火力发电厂的运行特性。为了保护现有的内燃机使其不低于其技术最低要求而使其不安全运行,并保持本地系统的有功功率储备和相应的动态稳定性,需要特别注意。为了增加所获得结果的可靠性,人们可能会使用数年的大量信息。最后,所提出的研究与适当的参数分析相结合,研究了主要参数变化对预期最大风能贡献的影响。

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