基于非合作博弈的多微电网协同运行策略

Distributed Collaborative Optimization Strategy of Multi-microgrid Based on Non-cooperative Game

  • 摘要: 为实现多微电网系统间的电能共享和运行成本的降低,提出了基于非合作博弈的多微电网分布式协同优化策略。本文建立一个基于非合作博弈的多微电网协同运行模型。首先,考虑电价的不确定性,建立点对点电能共享的新型低碳微电网电能管理模型,并考虑电转气装置和碳捕集系统;其次,由于微电网的电能共享和支付是相互耦合和互相影响的,提出了一个成本降低比分布模型,通过确定成本价格区间得出电能共享支付,然后将该支付代入成本降低比分布模型来确定付款,微电网可以获得尽可能大的成本降低。上述优化问题采用交替方向乘子法进行分布式求解,从而有效保护微电网的隐私和信息安全。最后仿真结果表明,多微电网系统能降低能源成本和减少碳排放量。

     

    Abstract: In order to realize the power sharing and running cost reduction between multi-microgrid systems, a distributed collaborative optimization strategy of multi-microgrid based on non-cooperative game is proposed. A multi-microgrid collaborative operation model based on non-cooperative game is established. First, considering the uncertainty of electricity price, a new low-carbon microgrid power management model for point-to-point power sharing is established, and considers the electric to gas conversion device and carbon capture system. Secondly, since the power sharing and payment of the microgrid are mutually coupled and mutually influencing, a cost reduction ratio distribution model is proposed, and the electric energy sharing payment is obtained by determining the cost price range, and then the payment is substituted into the cost reduction ratio distribution model to determine the payment, and the microgrid can obtain the largest possible cost reduction. The above optimization problem adopts the alternating direction multiplier method for distributed solution, which effectively protects the privacy and information security of the microgrid. Finally, the simulation results show that the multi-microgrid system can reduce energy costs and carbon emissions.

     

/

返回文章
返回