基于分布式Raft算法的直流微电网功率协调控制

Coordinated Power Control for DC Microgrid Based on Distributed Raft Algorithm

随着分布式能源并网的推广和应用,直流微电网作为其载体在可控性和电能质量等方面具有众多优点。首先,文中针对含有多节点分布式能源直流微电网中可靠通信控制和功率协调控制问题,考虑光伏和发电机输出的不确定性,定义功率评价系数,提高功率协调控制合理性,减少多节点通信负担。其次,采用深度学习中的长短期记忆网络对光伏输出进行预测。基于分布式一致Raft算法参与微电网二次控制,实现直流微电网的功率协调控制和经济优化。最后,基于PSCAD/EMTDC建立四端直流微电网仿真模型进行验证。仿真结果表明,所提控制方法能够有效改善微电网稳定性,协调微电网功率控制。

With the promotion and application of grid-connection of distributed energy,the DC microgrid as a carrier has many advantages in terms of controllability and power quality.Firstly,this paper aims at the problem of reliable communication control and power coordinated control in DC microgrid with multi-bus distributed energy.The uncertainty of photovoltaic and generator output is considered.The coefficient of power evaluation is defined.The rationalization of power coordination control is improved and the burden of multi-bus communication is reduced.Secondly,the long short-term memory network in deep learning is used to predict the photovoltaic output.Based on the distributed Raft algorithm to participate in the secondary control of the microgrid,the power coordinated control and economic optimization of the DC microgrid are realized.Finally,a simulation model of four-terminal DC microgrid based on PSCAD/EMTDC is established for validation.The simulation results show that the proposed control method can effectively improve microgrid stability and coordinate microgrid power control.