姜春光, 安冰, 古诗词, 李祥, 李家宇. 考虑用户侧电能质量及用电可靠性的用电体验评价[J]. 河北电力技术, 2023, 42(1): 45-51.
引用本文: 姜春光, 安冰, 古诗词, 李祥, 李家宇. 考虑用户侧电能质量及用电可靠性的用电体验评价[J]. 河北电力技术, 2023, 42(1): 45-51.
JIANG Chunguang, AN Bing, GU Shici, LI Xiang, LI Jiayu. Power Consumption Experience Evaluation Considering Power Quality and Power Consumption Reliability on the Customer Side[J]. HEBEI ELECTRIC POWER, 2023, 42(1): 45-51.
Citation: JIANG Chunguang, AN Bing, GU Shici, LI Xiang, LI Jiayu. Power Consumption Experience Evaluation Considering Power Quality and Power Consumption Reliability on the Customer Side[J]. HEBEI ELECTRIC POWER, 2023, 42(1): 45-51.

考虑用户侧电能质量及用电可靠性的用电体验评价

Power Consumption Experience Evaluation Considering Power Quality and Power Consumption Reliability on the Customer Side

  • 摘要: 针对传统独立的配电网电能质量评价指标体系或用电可靠性评价指标体系不能准确反映用户用电体验的问题,构建了一种综合考虑用户侧电能质量及用电可靠性的用电体验评价指标体系。7个用户侧电能质量指标旨在反映用电质量对用电体验的影响,3个用电可靠性指标旨在反映电网持续供电水平对用电体验的影响。以采集到的用户用电信息作为数据支撑,首先采用最优最劣法和熵权法计算各指标的主客观权重,其次将博弈论引入到综合评价中,利用纳什均衡方法进行组合优化得到较为合理的综合权重,最后通过逼近理想解法对各地区配电网用户用电体验进行评价。通过算例验证表明,该评价模型可以全面、准确地对用电体验进行评价,实现了评价结果优劣与用户真实用电体验好坏相一致,为供电企业提高配电网运维管理、规划建设水平,提升客户服务质量提供参考。

     

    Abstract: Aiming at the problem that the traditional independent power quality evaluation index system or power consumption reliability evaluation index system of distribution network cannot accurately reflect the customer’s power consumption experience, a power consumption experience evaluation index system is constructed which integrates customer-side power quality and power reliability.7 customer-side power quality indexes are designed to reflect the impact of power quality on power consumption experience, and 3 power reliability indexes are designed to reflect the impact of continuous power supply level on power consumption experience.The collected electricity consumption information was used as data support.Firstly, the best worst method(BWM) and entropy weight method were used to calculate the subjective and objective weights of each index.Secondly, the game theory was introduced into the comprehensive evaluation, and the combination optimization of Nash equilibrium method was used to obtain a reasonable comprehensive weight.Finally, through technique for order preference by similarity to an ideal solution(TOPSIS),the power consumption experience of distribution network users in each region is evaluated.The example shows that the evaluation model can comprehensively and accurately evaluate the power consumption experience, and the evaluation results are consistent with the real power consumption experience of customers.It provides important reference for power supply enterprises to improve distribution network operation and maintenance management, planning and construction level and improve customer service quality.

     

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