基于弃风惩罚的电力负荷经济调度研究

Study on Economic Dispatch of Power Load Based on Wind Abandonment Penalty

随着风电装机量逐渐增多,传统弃风惩罚方案无法灵活配置风电消纳,为了降低风电场运营成本,提升风能利用率,提出一种基于弃风惩罚的风火互补方案。首先以风电场的出力稳定性和预测精度来评估其发电便捷性,从而得到风电场的权重系数,将权重系数与分段弃风惩罚成本系数相结合,建立综合弃风惩罚模型;构建考虑经济调度的火电弥补风力波动模型;最后利用改进的二进制量子粒子群算法(BQPSO)对虚拟电厂进行负荷分配、仿真。实验证明,综合弃风惩罚模型可以合理减少弃风,抑制反调峰现象,降低风电场管理难度,提升电力系统运行的经济性和安全性,改进的BQPSO算法与其它算法相比,风能出力分配频繁波动的问题有很好的改善,系统反应更快且煤耗量更低,对多源互补日内发电计划的编制也具有指导意义。

With the gradual increase of wind power installed capacity,the traditional wind abandonment punishment scheme can not flexibly allocate wind power consumption.In order to reduce the operation cost of wind farm and improve the utilization rate of wind energy,a wind fire complementary scheme based on wind abandonment punishment is proposed.Firstly,the power generation convenience of the wind farm iwas evaluated by the output stability and prediction accuracy of the wind farm,and the weight coefficient of the wind farm wias obtained.Then,the comprehensive wind abandonment penalty model wais established by combining the weight coefficient with the penalty cost coefficient of segmented wind abandonment.Then,based on this,the thermal power compensation wind fluctuation model considering economic dispatch wais constructed.Finally,the improved binary quantum particle swarm optimization algorithm wais used,T the load distribution of virtual power plant wais carried out by BQPSO,and the simulation analysis wais carried out.Experimental results show that the comprehensive wind abandonment penalty model can reasonably reduce wind abandonment,suppress the phenomenon of anti peak regulation,reduce the difficulty of wind farm management,and improve the economy and security of power system operation.Compared with other algorithms,the improved BQPSO algorithm has a good improvement on the problem of frequent fluctuation of wind power distribution,faster system response and lower coal consumption,and can be applied to multi-source complementary daily generation plan It also has guiding significance.