基于交互式多目标优化算法的风光互补发电系统优化

Optimization of wind-PV hybrid power systems based on interactive multi-objective optimization algorithm

风光互补发电系统的优化配置是一个多目标优化问题,优化目标为系统安装成本,约束条件为供电可靠性。合理的匹配设计是充分发挥风光互补发电系统优越性的关键。在成本(目标)函数的最优化计算中,提出一种基于偏好的交互式多目标优化算法,利用交互式遗传算法优化目标权重值组成的种群,利用粒子群优化算法优化加权单目标函数,并将其应用到风光互补发电系统的优化配置中。计算结果表明,在满足负荷用电的前提下,风光互补发电系统的经济性能优于单独的光伏系统和风电系统。

The configuration optimization of wind-PV hybrid power systems may consider as a problem of multi-object optimization problem, in which the optimization objective is minimizing system installa- tion cost, subject to power reliability. It was a key how to reasonably settle the configuration to give full play to the superiority of hybrid power systems. An interactive multi-objective optimization algorithm based on preference was proposed in the calculation of the cost （objective） function minimization, the populations, composition of target weight value ,was optimized by interactive genetic algorithm, the weighted single objective function was optimized by particle swarm optimization algorithm, which were applied to configuration optimization of wind-PV hybrid power systems. The result shows that the eco- nomic performance of the hybrid power systems is superior to that of the single photovoltaic power system or single wind power system under the prerequisite for satisfying the load demand.