Abstract

This paper presents a model for studying the dynamic economic load dispatch problem in power system including conventional thermal generators and wind turbines. The problem is solved using the hybrid variant Mean Variance Mapping Optimization technique. Due to the stochastic nature of wind speed, the Weibull distribution parameters of wind speed are obtained for different time intervals (24 hours). Consequently, the probability density function for the output wind power is achieved for each hour separately. The constraints for the thermal generators are considered including generation limits, ramp rate limits, valve-point loading and spinning reserve. The optimization problem is solved for different scenarios and total operating cost obtained shows the effect of wind power penetration as well as the overestimate and underestimate power probabilities.

摘要

本文提出了一个模型，用于研究包括常规热力发电机和风力涡轮机在内的电力系统中的动态经济负荷分配问题。使用混合变量均值方差映射优化技术解决了该问题。由于风速的随机性，可以在不同的时间间隔（24小时）内获得风速的威布尔分布参数。因此，分别每小时获得输出风力的概率密度函数。考虑到热力发电机的约束条件，包括发电极限，斜率极限，阀点负载和旋转储备。