基于TOPSIS—灰色关联度的农网投资效益与风险能力综合评价
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Synthesized evaluation of investment efficiency and risk ability of rural network based on TOPSISgray incidence
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    摘要:

    随着国家在2017年提出"乡村振兴"策略,农村电网势必又将面临新一轮的升级改造。如何平衡农网投资效益与风险将会是今后重要的研究课题。在传统配电网投资效益分析的基础上,本文将环境影响、辅助服务与农网投资效益进行统筹,提出包含项目效益、管理效益、节能减排和增值服务的新型农网投资评价体系,同时考虑到投资体量大、资金收回周期长等因素,引入农网投资风险评价体系,并基于TOPSIS-灰色关联度模型,对数据样本的优劣性进行排序。为体现评价体系的完备性与评价方法的适应性,选择不同供电公司进行实例验证。综上所述,该文为电网投资决策者提供基于多方风险下不同投资方案的对比,以更好地实现收益最大化。

    Abstract:

    As the country proposes the "rural revitalization" strategy in 2017, the rural power grid inevitably faces a new round of upgrading and transformation.How to balance the benefits and risks of rural network investment becomes an important research topic in the future.Based on the analysis of traditional distribution network investment benefits, this paper integrates environmental impact, ancillary services, and rural power grid investment benefits, and proposes a new type of rural power grid investment evaluation system that includes project benefits, management benefits, energy conservation, emission reduction, and valueadded services. At the same time, taking into account factors such as large investment volume and long period of capital recovery, the investment risk evaluation system of rural power grid is introduced. Based on the TOPSISgray correlation degree model, the advantages and disadvantages of the data samples are ranked to reflect the completeness of the evaluation system. In order to reflect the completeness of the evaluation system and the adaptability of the evaluation method, different power supply companies are selected for example verification.In summary, this paper provides power grid investment decision makers with a comparison of different investment schemes based on multiparty risks to better maximize revenue.

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王利利,贾梦雨,韩 松,等.基于TOPSIS—灰色关联度的农网投资效益与风险能力综合评价[J].电力科学与技术学报,2020,35(4):76-83.
WANG Lili, JIA Mengyu, HAN Song, et al. Synthesized evaluation of investment efficiency and risk ability of rural network based on TOPSISgray incidence[J]. Journal of Electric Power Science and Technology,2020,35(4):76-83.

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  • 在线发布日期: 2020-09-04
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