基于主动禁忌搜索的配电网无功电压优化控制

提出将主动禁忌搜索（RTS）算法用于配电网无功电压优化控制问题的求解．首先根据已知的负荷预测曲线，用一种启发式方法为RTS提供可行初始解．在利用RTS算法的求解过程中，使用了反馈机制，可自动调节禁忌表长度，结合逃逸策略，可以使搜索有效地跳出局部极小点，更好地找到最优解．通过算例验证了该算法的有效性．与传统的禁忌搜索（TS）算法、遗传算法（GA）以及模拟退火（SA）算法进行了比较，算例结果表明，RTS算法求得的解质量更高，求解速度更快，比GA和SA算法至少提高了一倍．

Volt/Var Control in Distribution Systems with Reactive Tabu Search

A new method based on reactive tabu search (RTS) is proposed for volt/var control in electric power distribution systems. Given the day-ahead load forecast, a feasible initial solution for RTS is provided heuristically. In RTS scheme, the appropriate size of the tabu list is learned automatically via reactive mechanism combined with reactive and escape mechanism, thus the approach quickly approximates to the global optimum without being trapped at the local optimum. The results of practical system simulations verify the proposed method and its advantages in solution rate and effectiveness over the conventional tabu search, genetic algorithm (GA), and simulated annealing (SA). The computing time of RTS is at most half of SA's and GA's.