考虑系统调峰特性的风光消纳优化

Optimization of Wind/Photovoltaic Power Consumption Considering Peak Regulation Characteristics

由于风电和光伏发电受自然因素的影响较大,其出力具有随机性和波动性,将对系统的调峰能力造成严重影响。该文首先针对风电自身的出力特性,从系统调峰能力的角度对区域电网可以接纳的风电容量进行评估;然后根据风电和光伏发电在时间尺度上存在的互补性,建立以系统失负荷率最低和弃风、光率最小为目标的优化模型,利用改进惯性权重的粒子群算法对模型进行求解,得到最优的风电和光伏发电出力。最后,利用实际区域电网风电、光伏发电以及负荷的历史数据对该文所提方法的有效性进行验证,结果表明采用风光互补优化策略对风电和光伏发电的输出功率进行优化后,系统出力波动有所降低且消纳能力有明显提升。

As wind power and photovoltaic power generation are greatly affected by natural factors,their output is random and volatile,which will seriously affect the peak regulation capacity of the power system.First,according to the output characteristics of wind power,this paper evaluates the wind power consumption capacity of the regional power grid from the perspective of system peak load regulation capacity.Second,according to the complementarity of wind power and photovoltaic power generation in time scale,an optimization model is established with the lowest system load loss rate and the minimum wind and photovoltaic curtailment rate as the objective.Finally,the effectiveness of the proposed method is verified by using the historical data of wind power,photovoltaic power generation and load of the actual regional power grid.The results show that the output power of wind power and photovoltaic power generation is optimized by using the wind/photovoltaic complementary optimization strategy,and the system output fluctuation is reduced and the consumption capacity is significantly improved.