风电—光伏—光热发电系统联合优化运行研究

Research on Joint Optimal Operation of Wind Power-photovoltaic Power-concentrating Solar Power Generation System

“风光热储”是近几年多种新能源互补发电的新模式,以有效解决用电高峰期和低谷期存在的电力输出不平衡问题,并提高能源利用率,实现清洁发展。为此研究了光热电站的运行机理和工作模式。建立了风电—光伏—光热发电系统联合优化运行模型,以高优先级优化匹配调度曲线的程度,以低优先级优化联合系统的可再生能源消纳能力。为提高风力发电、光伏发电并网的可靠性,采用预测误差描述二者出力存在的不确定性,并采用样本均值近似法对其进行了确定化处理。然后对优化模型中的非线性因素进行了线性化处理,最后调用Cplex求解器得出联合系统最佳调度方案。结果表明,光热电站可以调节联合发电系统的上网功率,使其尽可能满足调度曲线的需求;另外,采用样本均值近似法处理不确定变量,并且将优化模型线性化后,可以更加快速地求出最优解。

“Wind-photovoltaic-thermal-storage”is a new model of a variety of new energy complementary power generation in recent years.It can effectively solve the power output imbalance during the peak and low periods,improve energy efficiency and achieve clean development.Therefore,we studied the operation mechanism and the working mode of the concentrating solar power plant.We established a hybrid optimal operation model of wind power-photovoltaic power-concentrating solar power generation system to optimize the degree of matching scheduling curve with high priority,and to optimize the renewable energy consumption capacity of the hybrid system with low priority.In order to improve the reliability of wind power and photovoltaic grid connection,we used the prediction error to describe the uncertainty that exists in the output of the two,and used the sample average approximation method to determine the uncertainty.Then the nonlinear factors in the optimization model were linearized.Finally,we used the Cplex to obtain the optimal scheduling scheme of the hybrid system.The results show that the concentrating solar power plant can regulate the grid power of the hybrid power generation system to meet the demand of scheduling curve as much as possible.In addition,the optimal solution can be obtained more quickly by using sample average approximation to deal with uncertain variables and linearizing the model.