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Generation expansion planning under wide-scale RES energy penetration

机译:广泛资源能源渗​​透下的一代扩展规划

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Renewable energy penetration in electricity is expected to have a spectacular growth in the forthcoming years. Power systems and the codes of their operation will be modified to take into account the specific characteristics of variable renewable energy operation (wind energy, photovoltaics). A number of issues arise in the context of developing new generation expansion planning methodologies, under a large scale penetration of renewable energy. A probabilistic approach is necessary due to the strong stochastic nature of variable (non dispatchable) renewables incorporating the statistics of the customer load and the non dispatchable RES generation. The level of penetration of variable renewable energy has to be calculated according to restrictions implied by the energy curtailment which can occur when the customer load is low and RES generation is high. Hydro pumped storage plants decrease this curtailment and consequently increase the level of RES penetration. In addition, fast reserve capacity is required to deal with big variations of variable RES energy generation. In summary the necessary storage and reserve capacity has to be calculated and incorporated in the costs of different scenarios related to expansion planning or operation simulation. In addition, grid costs mainly related to the Transmission System Expansion have to be calculated since they are related to the penetration of areas with high RES potential. In the present paper an attempt is made to incorporate such costs in the TIMES model in order to have a more accurate approach of generation expansion scenarios, incorporating storage, reserve plants and Transmission System expansion in the cost of RES technologies. Using the results as an input, a more detailed probabilistic approach is used to calculate the relevant production costs under a wide-scale penetration of RES. Methodologies presented here are based on the so called residual load duration curves approach.
机译:预计电力中的可再生能源渗透率将在即将到来的年度具有壮观的增长。将修改电力系统和其操作的代码,以考虑可变可再生能源操作的特定特性(风能,光伏)。在开发新一代扩张规划方法的背景下,在可再生能源的大规模渗透率下出现了许多问题。由于包含统计客户负载统计和非调度res生成的变量(不可批量)可再生能源的强大随机性质,因此需要一种概率的方法。可变可再生能源的渗透水平必须根据能源缩减所暗示的限制来计算,当客户负载低电平并且RES代高时,可能会发生。水力泵送储存厂减少了这笔缩减,从而增加了res渗透的水平。此外,需要快速储备容量来处理可变res能量产生的大变化。总之,必须计算必要的存储和储备能力,并以与扩展规划或操作模拟相关的不同情景的成本。此外,必须计算主要与传输系统扩展相关的网格成本,因为它们与具有高分辨率潜力的区域的渗透有关。在本文中,尝试在时代模型中纳入这种成本,以便具有更准确的生成扩展场景方法,以RES技术的成本在成本中包含存储,储备厂和传输系统扩展。使用结果作为输入,使用更详细的概率方法来计算RES的广泛渗透下相关的生产成本。这里提出的方法基于所谓的残余负载持续时间曲线方法。

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