一种提高离网分布式发电智能度的综合动态定价方案

C. Monyei, B. Chong, A. Adewumi
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引用次数: 3

摘要

本文提出了一种针对撒哈拉以南非洲(SSA)一个离网社区开发的综合动态电价方案(iDPS)。该模型采用一种社区方法,根据用户每月的贡献有效地确定接入用户的电力单位。假设基础值,该模型避免了由于SSA的高文盲水平而需要用户的实时输入,并实时动态计算电价,使低于标准价的消费者比基础或高于基础的消费者支付更多的费用。此外,所采用的智能负载分配板确保以量化值分配电力单元,要求消费者提高能源效率。该模型实现了经济收益,保证了离网DG项目的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integrated dynamic pricing scheme for improving the smartness of off grid distributed generation
This paper presents an integrated dynamic pricing scheme (iDPS) developed for an off grid community in sub-Sahara Africa (SSA). This proposed model employs a neighbourhood approach in effectively determining the electricity units due to connected consumers based on their monthly contributions. Assuming base values, this model obviates the need for real time inputs from the users owing to the high illiteracy level in SSA and dynamically computes electricity price in real time such that below par paying consumers pay more compared to base or above base consumers. Additionally, the smart load distribution board employed ensures that electricity units are dispatched in quantized values demanding greater energy efficiency from the consumers. This model achieves economic accrual which guarantees the sustainability of the off grid DG project.
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