基于改进灰狼算法的交直流混联电网经济调度方法

A Novel Economic Dispatch Method for AC-DC Hybrid Power Grid Based on Improved Grey Wolf Algorithm

为提升交直流混联电网经济调度问题求解效率,提出了一种基于改进灰狼算法的日前经济调度方法。直流输电线路与交流输电线路在网损表达式、传输特性等方面存在较大差别,造成交直流混联电网经济调度模型较传统交流电网更为复杂。由于该问题涉及大量的混合整数规划变量,传统智能算法容易陷入局部最优解,难以获得满足要求的最优解。通过引入初始对立搜索、自适应局部搜索等改进措施,提出了一种改进灰狼算法,并将其应用于含网损的交直流混联电网日前经济调度问题中。基于IEEERTS-96三区域节点系统的算例表明,相比于粒子群算法、飞蛾扑火算法,改进算法能保证相近的求解效率基础上,避免陷入局部最优解,具有更强的搜索能力。

In order to improve the efficiency of economic dispatch in AC-DC hybrid power grid,a day-ahead dispatching method based on an improved gray wolf algorithm was proposed.There are great differences between DC and AC transmission lines in terms of network loss expression and transmission characteristics,which makes the economic dispatch model of AC-DC hybrid power grid more complex than that of traditional AC power grid.Because this problem involves a large number of mixed integer programming variables,the traditional intelligent algorithm is easy to fall into the local optimal solution and difficult to obtain the optimal solution that meets the requirements.An improved gray wolf algorithm was proposed by introducing initial opposition search and adaptive local search and it was applied to the day-ahead economic dispatch problem of AC-DC hybrid power grid with network loss.A case study based on IEEE RTS-96 three region buses system shows that compared with particle swarm optimization and moth flapping algorithm,the improved algorithm can guarantee similar solving efficiency with avoiding falling into local optimal solution,which has stronger searching ability.