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

Bai Jingmeng, Jianhua Zhang, Zeng Bo, Liu Dunnan, Zengming
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引用次数: 3

Abstract

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.
基于远距灰色关联分析的SDN需求响应效益综合评价——基于理想解相似性的排序偏好技术
随着社会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一大趋势。本文对智能配电网下用户需求响应的效益进行了深入的分析和评价。充分考虑到SDN参与主体的多样性及其在市场环境中核心利益的差异性,我们建立了相关的评价指标体系。为了更真实有效地反映各指标的实际效益,不同学科的各指标全面覆盖了确定数据和区间数据。采用灰色关联分析-理想解相似性排序偏好技术(GRA-TOPSIS)对智能配电网的需求响应性能进行评价。在评价过程中,创新地将专家评分区间中心距离(ESICD)引入主客观综合权重法,对各指标进行客观综合赋权。同时动态调整分辨率系数,使分析结果更加科学客观。最后,给出了在不同匹配机制下,以风、光为主体对需求侧资源效益进行综合评价的数值算例,验证了评价方法的可行性。同时,选择需求侧资源最优的匹配组合,为需求侧未来发展提供强有力的发展思路参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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