Abstract

Energy router is the main equipment of energy Internet to interact through energy and information. This paper proposes the routing algorithm of the virtual energy router composed of multiple energy routers and constructs the multi-energy coupling correlation model, and combines internal routing algorithm of the virtual energy router with multi-energy correlation model to plan the capacity of energy routers in the regional energy network composed of multiple parks. The simulation shows that the planning method based on the routing algorithm improves the energy, environment and economic benefits of the regional energy wide area network.

Highlights

  • Energy Internet is described as an energy utilization system characterized by the in-depth integration of new energy technology and information technology

  • Energy router is the main equipment of energy Internet to interact through energy and information

  • Its own interests, which inevitably leads to the unreasonable configuration and operation of energy components, resulting in the sub-optimal efficiency of the energy Internet in terms of energy, economy and environment optimal, and may even affect the security of the system are often only considered in the planning or operation of the park-level energy local area network

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Summary

Introduction

Energy Internet is described as an energy utilization system characterized by the in-depth integration of new energy technology and information technology. It is a distributed and open sharing network based on renewable energy [1,2]. Virtual energy routers realize aggregation and multi-energy coordination optimization of multiple decentralized energy routers through information communication and intelligent computing technology. In order to show the synergistic optimization and complementarity of multiple energy interconnecttions and conversions in the planning, it is necessary to conduct modeling and analysis of system of the energy interconnections formed by coupling of multiple energy subsystems

Multi-energy complementary energy router
Routing algorithm
Routing algorithm of VERs
Expanded model of Energy hub
Correlation model
Planning guidelines
Planning model based on routing algorithm
Constraint condition
Analysis of example
Conlusion
Full Text
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