基于极限场景的风火蓄联合运行经济调度研究

Economic Dispatch for Wind/Thermal/Pumped-Storage Integration System Based on Extreme Scenario

风电-火电-抽水蓄能多源联合运行在提高风电渗透率的同时,还能实现各能源优势互补。但风电的随机性和波动性不可避免地使联合系统的经济调度无法达到最优。针对这一问题,基于风速概率分布函数得到风电出力的不确定分布概率,采用置信区间法生成极限场景风电功率,并构建了基于极限场景的风火蓄联合运行经济调度模型,以实现系统综合运行成本最小化目标。此外,还进一步分析了极限场景的可靠性约束,并结合算例应用分析了联合优化运行机组运行成本及可靠性在不同置信度下的结果。算例表明,采用的置信区间法使系统运行在较好经济性与可靠性的状态下,有效解决风电的低渗透率问题。

The integrated operation of wind/thermal/pumped-storage can realize energy complementation and improve wind power utilization. However,the uncertainty of wind power would have a negative impact on the economy and reliability of the optimal dispatch for the integration system. In order to solve this problem and minimize the overall operating cost of the system,based on the probability distribution function of wind speed,the uncertainty distribution probability of wind power output was obtained. The confidence interval method was used to generate wind power of the extreme scenario,and an economic dispatch model of the wind/thermal/pumped-storage integration system based on the extreme scenario was established. In addition,this study analyzed the reliability constraints of the extreme scenario,the effects of confidence interval and the pumped-storage capacity on the combined operating cost and reliability of the multi-energy units with an example application. The results showed that the proposed method could effectively solve the problem of low permeability,and it worked better in economy and reliability.