基于改进TLBO算法的电力系统区间经济调度

Interval Economic Power System Dispatch Based on Improved TLBO Algorithm

针对风电本身存在的波动性以及预测的不确定性,构建了含备用响应能力约束的经济调度模型;其次针对风电高成本却有较高环境效益的特性,引入一种新的平衡因子——弃风系数,以此来平衡风电成本,并对该平衡因子的有效区间进行了定义;同时对教与学优化(teaching-learning based optimization,TLBO)算法进行了优化改进,引入新的教学因子和交叉操作,进一步提高其收敛速度和收敛能力,并将其应用于模型求解中。最后利用改进的TLBO算法(improved teaching-learning based optimization,ITLBO)对10机系统进行了仿真计算,验证了弃风系数对平衡风电成本的有效性以及该算法解决此类问题的优越性。

In view of wind power fluctuation and the uncertainty in forecast,an economic dispatch model with standby response capacity constraint is constructed. Considering the high cost and high environmental benefits of wind power,a new balance factor named coefficient of abandoned wind is introduced in order to balance the cost of wind power,and the effective range of the balance factor are defined. At the same time,the new teaching factors and cross-operation are introduced in the teaching-learning based optimization（ TLBO） algorithm,which may further improve its convergence speed and convergence ability,and the solution is applied to the model. Finally,the improved TLBO algorithm（ ITLBO） is used in a 10-machine simulation system,which verifies the effectiveness of the abandonment coefficient to balance the cost of wind power and the superiority of the algorithm to solve such problems.