大型可再生集成微电网变负荷、变季节动态经济与排放调度

B. Dey, B. Bhattacharyya
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引用次数: 3

摘要

在能源成本和污染物排放最小化的前提下,微电网分布式发电电源的优化规模对微电网的正常运行至关重要。本文研究了由燃料电池、微型涡轮机、存储装置和可再生能源组成的两个微电网测试系统的三种不同的成本和排放最小化情况。提出了一种共生生物搜索算法作为优化工具,在遵守各种等式和不等式约束的前提下,考虑负荷不确定性和市场竞价,使微电网运行成本和排放最小化。然后进行了比较研究,以证明所提出的算法与文献中使用的各种其他技术的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Economic and Emission Dispatch of Large Scale Renewable Integrated Microgrids for Varying Loads and Seasons
Optimal sizing of distributed generation sources for a microgrid is very essential for proper functioning of the microgrid when minimization of the energy cost and pollutants emission are of prime concern. This paper deals with three different cases of cost and emission minimization each for two microgrid test systems consisting of fuel cell, micro-turbine, storage devices and renewable energy sources. A proposed symbiotic organism search algorithm is used as the optimization tool to minimize the microgrid operating cost and emission abiding by the various equality and inequality constraints and considering load uncertainties and market bids. A comparative study is then made to prove the efficiency of the proposed algorithm with various other techniques used in literature.
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