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Distributed Optimal Energy Management for Energy Internet

机译：能源互联网的分布式最佳能源管理

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摘要

In this paper, a novel energy management framework for energy Internet with many energy bodies is presented, which features multicoupling 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 tradeoff 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 nonlinear 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.
机译：本文提出了一种具有多种能量主体的新型能源互联网能源管理框架，该框架具有不同能量形式的多重耦合，多种能源角色以及对等能源供需等。为系统模型的开发制定了可能具有多种功能并同时扮演多个角色的能源部门。在对可再生能源进行建模时，还应考虑预测误差，置信区间和惩罚因子，以在最佳性和可能性之间进行权衡。为了解决能源互联网的最优能源管理问题，提出了一种包含动态平均共识算法和分布式ADMM算法的分布式乘数交替方向乘方算法（ADMM）。该算法可以有效地解决电热气耦合，全局约束极限和非线性目标函数等问题。通过这种努力，不仅可以通过本地通信和计算获得最佳的能源市场结算价格，而且可以获得最佳的能源输出/需求。仿真结果表明了该算法的有效性。

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