计及源荷双侧不确定性的 MES 最优概率潮流研究

Study on MES Optimal Probability Power Flow Considering Source and Load Uncertainties

针对多能源系统(multi⁃energy systems,MES)源荷双侧不确定性问题,提出了一种改进的JAYA(modified JAYA,MJAYA)算法,计算多目标函数的最优概率潮流(probabilistic optimal power flow,POPF)。其次,研究了多能源系统各子系统的数学模型、约束条件和4个目标函数的POPF表达式,利用价格惩罚因子和加权参数将多目标函数转化为单目标函数。最后,在DIgSILENT/Power Factory仿真软件IEEE 39节点系统中,计算接入新能源前后的系统参数和目标函数值并与文献中其他方法进行了比较,验证所提方法的有效性。仿真结果表明,新能源接入后系统总目标函数最优解降幅为2.2%,且新能源渗透率40%时系统性能最佳,总目标函数值经济环境效益最优。

In view of power source and load uncertainty in multi energy systems(MES),a kind of modified Jaya(MJAYA)algorithm is proposed to calculate the optimal probabilistic power flow(POPF)of multi⁃objective function.Then,the mathematical model,constraint conditions and POPF expression of four objective functions of each subsystem of MES are studied,and the multi⁃objective function is converted into single objective function by using price penalty factors and weighted parameters.Finally,the system parameters and objective function values before and after access to the new energy is calculated and is compared with other methods of the literature in the IEEE 39 node system in the power system simulation software of DIgSILENT/Power Factory,and the effectiveness of the proposed method is verified.The simulation results show that,after the access of the new energy,the decrease of the optimal solution of the total objective function is 2.2%.The system performance is optimal in case of 40%of new energy penetration rate and the economic and environmental benefits of the total objective function value is optimal.