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Distributed Optimal Energy Management for Energy Internet

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Energy Internet and We-Energy

Part of the book series: Renewable Energy Sources & Energy Storage ((RESES))

Abstract

In this chapter, a novel energy management framework for Energy Internet with many energy bodies is presented, which features multi-coupling of different energy forms, diversified energy roles and peer-to-peer energy supply/demand, etc. The energy body as an integrated energy unit, which may have various functionalities and play multiple roles at the same time, is formulated for the system model development. Forecasting errors, confidence intervals and penalty factor are also taken into account to model renewable energy resources to provide trade-off between optimality and possibility. Furthermore, a novel distributed-consensus alternating direction method of multipliers (ADMM) algorithm, which contains a dynamic average consensus algorithm and distributed ADMM algorithm, is presented to solve the optimal energy management problem of energy internet. The proposed algorithm can effectively handle the problems of power-heat-gas-coupling, global constraint limits and non-linear objective function. With this effort, not only the optimal energy market clearing price but also the optimal energy outputs/demands can be obtained through only local communication and computation. Simulation results are presented to illustrate the effectiveness of the proposed distributed algorithm.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, China

    Qiuye Sun

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  1. Qiuye Sun
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Corresponding author

Correspondence to Qiuye Sun .

Appendices

Solutions

Problems of this chapter

The solution is revealed here.

Problem Heading

(a) The solution of first part is revealed here.

(b) The solution of second part is revealed here.

9.6 Energy Management Framework of EI

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Cite this chapter

Sun, Q. (2019). Distributed Optimal Energy Management for Energy Internet. In: Energy Internet and We-Energy. Renewable Energy Sources & Energy Storage. Springer, Singapore. https://doi.org/10.1007/978-981-13-0523-8_9

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  • DOI: https://doi.org/10.1007/978-981-13-0523-8_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0522-1

  • Online ISBN: 978-981-13-0523-8

  • eBook Packages: EnergyEnergy (R0)

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