基于改进物元熵权模型的可再生能源推广激励政策综合评价

Can Dang, Xifan Wang, Tao Ding, Yunpeng Xiao, Benhui Gong
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引用次数: 0

摘要

促进可再生能源纳入电力系统规划的激励政策多种多样。提出了一种基于熵的激励政策评价物元模型。建立了综合评价体系,包括规划结果的成本、可靠性、环境影响和操作灵活性等评价指标。在此基础上,运用熵值法客观地评价各评价指标在不同标准中的权重。此外,在物元模型中引入坐标变换后,激励政策的等级更加均衡和分散。基于实际电力系统的实例研究表明,本文提出的物元模型比传统模型更好地区分了不同的激励政策,结论更加合理、灵活和客观。该模型也可用于进一步分析未来电力系统在能源革命中的作用。
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Comprehensive evaluation on incentive policy in renewable energy promotion based on improved matter-element model with entropy weight
There are various incentive policies promoting the integration of renewable energy in power system planning. This paper proposes an entropy based matter-element model for incentive policy evaluation. A comprehensive evaluation system is established, which includes evaluation indexes concerning the cost, reliability, environmental effects and operational flexibility of the planning result. On this basis, entropy method is applied to objectively assess the weight of the evaluation indexes in varying criteria. Moreover, with coordinate transformation introduced into the matter-element model, the incentive policies are distinguished by more balanced and dispersed grades. Case study based on a real-world power system shows that the proposed matter-element model better distinguishes different incentive policies than the conventional model, with more reasonable, flexible and objective conclusion. This model can also be used to further analyze the role that future power system plays in energy revolution.
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