| 林佳亮,李暖群,黄焯辉,曾庆彬,梁伟强,李钦豪.智慧配电网关键技术示范应用优选评估方法[J].电力需求侧管理,2024,26(4):16-22 |
| 智慧配电网关键技术示范应用优选评估方法 |
| Optimal evaluation method for demonstration and application of key technologies of smart distribution network |
| 投稿时间：2024-01-05 修订日期：2024-04-20 |
| DOI：10. 3969 / j. issn. 1009-1831. 2024. 04. 003 |
| 中文关键词: 智慧配电网关键技术 差异化 内外部矩阵 双S导向 技术优选 组合赋权 |
| 英文关键词: key technologies of smart distribution network differentiation internal-external matrix double S orientation technology opti⁃mization portfolio empowerment |
| 基金项目:国家自然科学基金项目（52177085）；广东电网有限责任公司重点管理创新项目（035200KK52220031 |
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| 中文摘要: |
| 为解决配电网关键技术在示范应用时优先顺序难评估、示范效益受地区发展差异影响程度难量化等问题,提出了一种兼顾关键技术发展情况、应用价值、地区指标“双S”导向差异的技术示范应用优选评估模型。基于内外部矩阵衡量地区电网差异化发展的需求,结合模糊综合评价方法量化关键技术示范效益。采用了连续区间有序加权平均算子改进层次分析法以及熵权法优化CRITIC算法分别计算得到主客观权重,引入博弈论构建主客观组合赋权法,采用直觉模糊多属性决策法构建技术示范优选评估模型。算例结果表明所提方法能够量化关键技术示范的优先顺序,且能识别不同地区展开技术示范的差异,为配网侧关键技术示范投资决策提供参考,有助于提升配电网投资效率与效益。 |
| 英文摘要: |
| To address the difficulties in evaluating the priority order of key technologies in the demonstration application of distributionnetworks and quantifying the degree to which demonstration benefits are affected by regional development differences, a technology demon?strate on application optimization evaluation model that took into account the development of key technologies, application value and thedifference of regional indicators guided by“double S”index is proposed. Based on the internal and external matrix to measure the demandof regional power network differentiated development, a fuzzy comprehensive evaluation method is combined to quantify the demonstrationbenefits of key technologies. The continuous interval order weighted average operator improved analytic hierarchy process and entropyweight method are used to optimize CRITIC algorithm to calculate the subjective and objective weights, and the game theory is introducedto construct the subjective and objective combination weighting method. The intuitionistic fuzzy multi-attribute decision-making method isused to construct the technology demonstration optimization evaluation model. The simulation results show that proposed method can quan?tify the priority of key technology demonstration, and can identify the differences of technology demonstration in different regions, whichprovides a reference for the investment decision of key technology demonstration on the distribution network side, and helps to improve theinvestment efficiency and efficiency of distribution network. |
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