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Selection of distributed generation system using multicriteriadecision making fuzzy TOPSIS optimization

机译:基于多准则决策的模糊TOPSIS优化分布式发电系统选择

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Distributed Generations (DG) are modular power generating technologies that are located near the load centers. DGs help avoid the expensive long distance transmission of power which is expensive and lossful while providing certain relief to the central power grid. They can be reliable and environmental friendly. DGs can prove beneficial for the local economies, enhance the energy independence, provides lowcost electricity at the same time providing access to liberalized generation markets for the concerned distribution utilities. There is wide range of DG options available. When presented with wide range of DG options selecting the correct one can prove to be daunting task. In this paper Multi-Criteria Decision Making (MCDM) technique which is increasingly popular is used for ranking DG systems. The DG systems considered in this paper are reciprocating engines (RE), micro turbine (MT), fuel cell (FC), solar PV (PV) and wind turbine (WT) while the criteria used for ranking are cost, minimum starting time, noise, emission level and continuity. The analysis is done with the aid of MCDM technique employing Fuzzy TOPSIS while weight values of the criteria are determined using the Interval Shannon's Entropy methodology. As per results obtained the first criterion in preference ranking of DG systems is PV, followed by FC, RE, MT and WT.
机译:分布式代(DG)是位于负载中心附近的模块化发电技术。 DGS帮助避免昂贵的长距离传输,这是昂贵且损失的,同时为中心电网提供一定的浮雕。它们可以是可靠和环境友好的。 DGS可以证明对当地经济有益,提高能源独立,同时为低位电力提供对有关分配公用事业的自由化发电市场的访问。可提供各种DG选项。当呈现出广泛的DG选项时,选择正确的DG选项时可以证明是令人生畏的任务。在本文中,越来越流行的多标准决策(MCDM)技术用于排名DG系统。本文考虑的DG系统是往复式发动机(RE),微型涡轮机(MT),燃料电池(FC),太阳能光伏(PV)和风力涡轮机(WT),而用于排名的标准是成本,最低启动时间,噪音,排放水平和连续性。该分析是借助于采用模糊Topsis的MCDM技术进行的,而使用间隔Shannon的熵方法确定标准的重量值。由于结果获得了DG系统的偏好等级的第一标准是PV,其次是Fc,Re,Mt和Wt。

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