高水电比重系统随机电力电量平衡模型与算法

针对高水电比重系统中电力电量平衡问题,首先考虑利用典型周负荷曲线进行电力电量平衡分析,以更好地计及工作日和非工作日不同的负荷曲线对可调水电站库容及火电站开机的影响。为恰当考虑风电场和光伏电站出力的不确定性和波动性,建立了基于随机优化的随机电力电量平衡模型,从概率的角度更好地分析和衡量风光电站对电量平衡的贡献。为方便该模型的求解,对非线性的水电转换函数进行线性化处理,得到混合整数规划模型,采用CPLEX对模型进行求解。以某高水电比重系统作为算例进行仿真分析,验证了所提随机电力电量平衡模型与算法的正确性和有效性,从概率的角度定量分析了风光电站的电量贡献。

Model and Algorithm of Stochastic Power and Energy Balance in Power System with High Penetration of Hydropower

In view of power and energy balance in power system with high penetration of hydropower, this paper considers the typical weekly load curve for power and energy balance analysis, which can better account for the impact of different load curves on working days and weekends on the storage capacity of adjustable hydropower stations and the startup of thermal power plants. In order to properly consider the uncertainty and volatility of wind farms and solar power plants, a stochastic power and energy balance model is established based on stochastic optimization. The energy contribution of wind and solar power stations is analyzed from the perspective of probability. In order to facilitate the model solution, the nonlinear hydroelectric conversion function is linearized to obtain the MILP model that is solved by the CPLEX. Simulations of a power system with high penetration of hydropower are carried out. The results verify the correctness and effectiveness of the proposed stochastic power and energy balance model and solution algorithm.