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Promotion strategy of clean technologies in distributed generation expansion planning

机译:分布式发电扩展规划中清洁技术的推广策略

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Distributed generation expansion planning (DGEP) has been frequently reported in the literature around the world. In this scope, renewable technologies which are considered as a kind of distributed generations are developing due to their environmental benefits. However, only a few renewable energies have proven to be competitive so far, while their economic viability is also limited to certain regions of the world. In this paper, an encouraging mechanism is proposed in favor of clean technologies in the planning process. This mechanism is defined based on a grant function of emission not polluted which is paid to DG owners to promote renewable and clean technologies. In the planning process, a multi-objective optimization algorithm is applied to produce a Pareto set of optimal planning schemes by taking into account different objective functions (cost and grant functions). The best planning scheme among the Pareto set is chosen based on a composite utility which are obtained through a Monte Carlo simulation of uncertain situations. Distributed generation technologies which are considered in this paper are conventional and renewable technologies, namely photovoltaic (PV), wind turbine (WT), fuel cell (FC), micro turbine (MT), gas turbine (GT), and reciprocal engine (RE). To assess the ability of the proposed method, a typical distribution system is used for expansion planning under two environmental scenarios.
机译:分布式发电扩展计划(DGEP)在世界各地的文献中经常被报道。在此范围内,由于具有环境效益,被认为是一种分布式发电的可再生技术正在发展。但是,到目前为止,只有极少数可再生能源具有竞争力,而其经济可行性也仅限于世界某些地区。本文提出了在规划过程中鼓励采用清洁技术的鼓励机制。该机制是根据未污染排放的授予函数定义的,该函数被授予DG所有者以促进可再生和清洁技术的使用。在计划过程中,通过考虑不同的目标函数(成本和授权函数),将多目标优化算法应用于生成帕累托最优计划方案集。通过综合不确定性情况的蒙特卡洛模拟获得的复合效用,在帕累托集合中选择最佳计划方案。本文考虑的分布式发电技术是常规和可再生技术,即光伏(PV),风力涡轮机(WT),燃料电池(FC),微型涡轮机(MT),燃气涡轮机(GT)和往复发动机(RE) )。为了评估所提出方法的能力,将典型的配电系统用于两个环境方案下的扩展计划。

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