基于Pareto折中解的风电装机规划多目标优化方法

MULTI-OBJECTIVE OPTIMIZATION OF WIND POWER PLANNING BASED ON PARETO COMPROMISED SOLUTIONS

为引导有序有效的风电装机规划,在提高风电场经济社会效益的同时,保证大规模风电接入系统的安全性,提出一种基于Pareto折中解的风电装机规划多目标优化方法。首先建立风电装机规划的多目标模型,研究风电场的经济社会效益及不定量风电消纳后系统负调峰能力的变化。随后通过求解该模型的非支配解,得到其Pareto前沿,并基于模糊理论从前沿中得出折中规划方案。最后,对某省电网实际数据进行仿真求解,从不同角度得出该省风电装机规划方案,供规划工作者参考选取。通过与实际风电装机下的各项数据进行对比,表明该文所提方法对风电规划指导具有一定的参考意义。

A multi-objective optimization of wind power planning based on Pareto compromised solutions is presented.The model of wind power planning is proposed to lead to more economy-social benefit of wind power and ensure the security of system with wind power at the same time. This model takes consideration not only the benefit of wind farm,but also the change of peak-saving ability after insufficient consumption which is important to the security of system. Then the Pareto front is got by figuring out the non-dominated solution of this model,and the compromised solution is acquired based on fuzzy membership. Finally,this model is applied to the data of State Grid Electric Power Corporation to get the wind power installation plans. By comparing the compromised plans with the actual plan,the method is proved to be meaningful to wind power installation planning.