基于样本熵的新能源电力系统净负荷分时段调度

新能源电力系统源—荷功率具有强不确定性,采用经典的日前调度策略,传统火电机组出力将随净负荷的波动而频繁调整,影响发电设备运行效率和系统运行的经济性,甚至需要改造火电机组,以适应系统能量平衡控制要求。提出一种基于样本熵的新能源电力系统净负荷分时段调度策略。该策略最大化可再生能源利用效率,基于样本熵理论,评估净负荷时间序列复杂度,以此确定火电机组运行模式,并对调度时段进行适应性划分,有效地减少火电机组随系统净负荷波动产生的上、下行爬坡功率,同时增加抽水蓄能机组的参与度。文中以十机组测试系统为例,验证了调度策略的合理性和有效性。

Sample Entropy Based Divided-period Dispatch of Net Load in New Energy Power System

In the new energy power system, the power source and load have strong uncertainties. For classical day-ahead power dispatch, the outputs of traditional thermal power units need to ramp up and down to respond to the fluctuations of net loads, which will influence the operation efficiency of power units and the economy of the system. Even the thermal power units need to be transformed and upgraded to meet energy balance requirements of the system. A sample entropy based divided-period dispatch of net load in new energy power system is proposed. This strategy aims at maximizing the utilization efficiency of the renewable energy and the complexity of time series for net load is evaluated based on the sample entropy theory. On this basis, the operation mode of thermal power units is determined and the time periods of the power dispatch are divided. In this strategy, the ramp-up power and ramp-down power of thermal power units are reduced and the participation of the pumped storage units is improved. The experiment simulation is carried on the ten-unit test system to verify the efficiency and reasonability of the proposed dispatch strategy.