基于动态规划的备自投投入策略优化研究

Research on Strategy Optimization of Busbar Automatic Transfer Switch Based on Dynamic Programming

备自投装置是区域电网可靠性的重要屏障,但实际中不合理的备自投投入策略易导致潮流越界和动作失效等问题。在备自投与N-1故障关联集和动作优先级概念基础上建立了备自投系统的目标函数,基于算法与约束边界设定可筛选出最优投入策略。算例结果表明,相比于全局遍历与遗传算法,动态规划在备自投投入组合优化中的收敛速度有极大提升,系统转供能力也较遗传算法提升3.5%。切合电网实际现状,理论上可有效提升配电网可靠性,但现场应用效果仍需重复验证。

The busbar automatic transfer switch(BATS)is an important barrier to the reliability of regional power grids,but in practice,unreasonable backup and automatic transfer strategies can easily lead to problems such as power flow cross-border and action failure.The objective function of a standby BATS system was established on the basis of the concept of N-1 fault correlation set and action priority.The optimal input strategy can be screened out based on the algorithm and the constraint boundary setting.The results of the calculation examples show that,compared with the global traversal and genetic algorithm,the convergence speed of dynamic programming(DP)in the combination optimization of BATS is greatly improved,and the system transfer capacity is also 3.5%higher than that of the genetic algorithm.In accordance with the actual current situation of the power grid,it can effectively improve the reliability of the distribution network in theory,but the field application effect still needs to be repeatedly verified.