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Benefits comprehensive evaluation of demand response in SDN based on distant Grey Relational Analysis-Technique for Order Preference by Similarity to Ideal Solution

机译:基于远距离灰色关联分析的SDN需求响应综合评价技术-与理想解相似的订单偏好技术

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In line with the inevitable requirements of social and economic development, smart distribution network (SDN) has become a major trend of the world's power grid development currently. In this paper, in-depth analysis and evaluation on benefits of user's demand response is conducted under the smart distribution network. Taking full account of the diversity of SDN participating subjects and the difference of their core interests in the market environment, we establish the relevant evaluation index system. In order to reflect the real benefits of each index more realistically and effectively, each index of different subject comprehensively covers the definite and interval data. Grey Relational Analysis-Technique for Order Preference by Similarity to Ideal Solution (GRA-TOPSIS) is used to evaluate the demand response performance of intelligent distribution network. In the evaluation process, we innovatively introduce the Expert Scoring-Interval Centric Distance (ESICD) into subjective and objective comprehensive weight method, and do objective and comprehensive empowerment for each index. At the same time, the resolution coefficient is adjusted dynamically, which will make the results more scientific and objective. Finally, under different matching mechanisms, a numerical example, evaluated synthetically on the benefit of the demand side resources with wind and light as the main body, is given to verify the feasibility of the evaluation method. Simultaneously, matching combinations with optimal demand side resources are selected, thereby, providing a strong reference to development ideas for the future development of demand-side.
机译:顺应社会和经济发展的必然要求,智能配电网(SDN)已成为当前世界电网发展的主要趋势。本文在智能配电网络下,对用户需求响应的收益进行了深入的分析与评价。充分考虑SDN参与主体的多样性及其在市场环境中核心利益的差异,建立了相关的评价指标体系。为了更真实,更有效地反映每个指标的实际收益,不同主题的每个指标都全面涵盖了确定性数据和区间数据。基于与理想解决方案相似度的订单偏好的灰色关联分析技术(GRA-TOPSIS)用于评估智能配电网的需求响应性能。在评估过程中,我们创新地将专家评分间隔中心距离(ESICD)引入到主观和客观的综合权重方法中,并对每个指标进行客观和全面的赋权。同时,动态调整分辨率系数,使结果更加科学,客观。最后,在不同的匹配机制下,以风能和光能为主体的需求侧资源的优势进行了综合评价,算例验证了该评价方法的可行性。同时,选择具有最佳需求侧资源的匹配组合,从而为需求侧的未来发展提供了强有力的参考。

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