基于遗传-蚁群算法的交直流配电网分布式电源优化配置

随着分布式电源(distributed generation,DG)受到广泛的关注与研究,分布式电源接入交直流配电网的规划问题日益突出。该文在分布式电源选址定容阶段充分考虑不同类型DG和负荷的时序特性,以DG运维费用、DG投资年等效费用、系统网络损耗费用、燃料费用、污染赔偿费用、环保补贴综合最小作为目标函数,同时加入电压、功率等约束条件,建立了DG的选址定容模型。根据遗传、蚁群算法各自的优劣势,提出了运用遗传-蚁群复合算法求解该优化模型。最后以改进的IEEE-33节点配电网作为算例,验证了所提模型的合理性及算法的有效性。

DG Planning Method for AC/DC Distribution Network Using Genetic-Ant Colony Algorithm

With the widespread research on distributed generation （DG）， the planning problem of DG accessing to the AC/DC distribution network has become increasingly prominent. In this paper， the timing characteristics of different types of DGs and loads are fully considered in the problem of DG accessing to the distribution network. The DG operation and maintenance cost， DG investment cost， system network loss cost， fuel cost， pollution compensation cost， and environmental protection subsidy are fully considered as the objective function， adding constraints of voltage and power at the same time， and then the location and capacity model of DG is established. Considering the advantages and disadvantages of genetic and ant colony algorithms， a genetic-ant colony composite algorithm is proposed to solve the optimization model. Finally， the IEEE 33-node distribution network is taken as an example to verify the rationality of the proposed model and the effectiveness of the algorithm.