Hybrid Energy Routing Approach for Energy Internet

被引:0
|
作者
Hebal, Sara [1 ]
Mechta, Djamila [1 ]
Harous, Saad [2 ]
Dhriyyef, Mohammed [3 ]
机构
[1] Ferhat ABBAS Setif 1 Univ, Dept Comp Sci, LRSD Lab, Setif 19000, Algeria
[2] United Arab Emirates Univ, Coll Informat Technol, Al Ain 15551, U Arab Emirates
[3] Mohammed First Univ, Natl Sch Appl Sci, Smart ICT Lab, Oujda 60000, Morocco
关键词
energy cost; energy efficient path; Energy Internet; energy router; energy routing; P2P distributed energy trading; power loss; subscriber matching; transmission scheduling; DEMAND RESPONSE MANAGEMENT; PEER; MICROGRIDS; STRATEGY; ROUTER;
D O I
10.3390/en14092579
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The Energy Internet (EI) has been proposed as an evolution of the power system in order to improve its efficiency in terms of energy generation, transmission and consumption. It aims to make the use of renewable energy effective. Herein, the energy router has been considered the crucial element that builds the net structure between the different EI components by connecting and controlling the bidirectional power and data flow. The increased use of renewable energy sources in EI has contributed to the creation of a new competitive energy trading market known as peer-to-peer energy trading, which enables each component to be part of the trading process. As a consequence, the concept of energy routing is increasingly relevant. In fact, there are three issues that need to be taken into account during the energy routing process: the subscriber matching, the energy-efficient path and the transmission scheduling. In this work, we first proposed a peer-to-peer energy trading scheme to ensure a controllable and reliable EI. Then, we introduced a new energy routing approach to address the three routing issues. A subscriber matching mechanism is designed to determine which producer/producers should be assigned for each consumer by optimizing the energy cost and transmission losses. This mechanism provides a solution for both mono and multi-source consumers. An improved ant colony optimization-based energy routing protocol was developed to determine a non-congestion minimum loss path. For the multi-source consumer case, an energy particle swarm optimization algorithm was proposed to choose a set of producers and to decide the amount of energy that should be collected from each producer to satisfy the consumer request. Finally, the performance of the proposed protocol, in terms of power losses, cost and computation time was compared to the best existing algorithms in the literature. Simulation results show the effectiveness of the proposed approach.
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页数:34
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