计及弃风成本的含抽水蓄能电力系统随机优化调度

针对风电入网的消纳难题，提出了抽水蓄能参与调峰的数学模型。将弃风成本作为经济指标之一，风速和负荷作为不确定变量，建立了风电-火电-抽水蓄能随机规划模型。处理机会约束条件时，提出以bootstrap抽样法估计置信区间，以提高精确度。在IEEE 30节点系统上进行仿真测试，对不同风电和抽水蓄能装机容量情况下的经济性进行分析。结果显示：风电装机容量由300 MW增加到400 MW时，弃风成本升高，系统对抽水蓄能的容量和备用容量需求也随之增加；当风电装机容量达到400 MW时，将抽水蓄能容量提高到90 MW，相比于无抽水蓄能参与调度的情况，能够节约经济成本约5%左右，且参与启停调峰的火电机组由2台减少到1台。算例表明针对不同装机容量的风电，合理地配置抽水蓄能容量，多元协调配合进行调峰，才能实现低成本消纳风电的目的。

Stochastic Optimization Scheduling Method for Pumped Storage Power System Considering Wind Curtailment Cost

According to the problem of wind power absorption in grid, this paper proposes a mathematical model for pumped storage units participating in peak shaving. We construct a stochastic programming model of wind power-thermal power-pumped storage association system, which takes wind curtailment cost as one of the economic indicators and wind speed and load as uncertain variables. When dealing with the constraint condition of opportunity, we adopt bootstrap sampling to estimate confidence interval, in order to improve the accuracy. Finally, we carry out the simulation test on the IEEE 30-bus system to analyze the economical efficiency under the condition of different wind power and pumped storage capacity. The results show that with the rising of wind power installed capacity from 300 MW to 400 MW, wind curtailment cost increases and the demand of pumped storage capacity and reserve capacity also goes up. When the wind power installed capacity arrives at the level of 400 MW and pump storage capacity raises to 90 MW, the economic cost can be reduced by 5% compared with that in the case without pumped storage in scheduling. Meanwhile, the number of start-up （shut-down） thermal power units is reduced from 2 to 1. Example shows that according to the different wind power installed capacity, the rational allocation of pumped storage capacity and the coordinative peaking of multiple sources can achieve the purpose of the wind power absorption at the least cost.