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首页> 外文会议>2017 International Conference on Inventive Computing and Informatics >Energy distribution and pricing based on load demand taxonomy in a smart grid tree network
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Energy distribution and pricing based on load demand taxonomy in a smart grid tree network

机译：智能电网树状网络中基于负荷需求分类的能源分配和定价

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摘要

The energy demand is growing drastically due to the technological developments in the world. It requires a smart energy distribution, scheduling and pricing based on the dynamic load demand. In this paper, a new Load Demand Taxonomy (LDT) based Energy Distribution and Pricing on Smart Grid is proposed. Based on the load demand and load request, the load is classified into different categories. Further, based load Taxonomy, Fuzzy pricing strategies is implemented. An Intelligent Block based Load Shifting Algorithm (IBLS) is proposed to maintain the load balancing and avoids demand request over the queue. From the simulation results it is observed that, the proposed algorithm controls the load demand and the dynamic pricing using load demand taxonomy controls the unit energy charge and provides benefit to the user. The IBLS with low category users to high category users satisfies a number of users and improves system fairness.
机译：由于世界上技术的发展，能源需求急剧增长。它需要基于动态负载需求的智能能源分配，调度和定价。本文提出了一种新的基于负荷需求分类法（LDT）的智能电网能量分配和定价方法。根据负载需求和负载请求，将负载分为不同类别。此外，基于负荷分类法，实施了模糊定价策略。提出了一种基于智能块的负载转移算法（IBLS），以维持负载平衡并避免对队列的需求请求。从仿真结果可以看出，该算法控制了负荷需求，利用负荷需求分类法动态定价控制了单位能耗，为用户带来了利益。从低类别用户到高类别用户的IBLS满足了许多用户的需求，并提高了系统公平性。

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