基于最小二乘综合权重优化模型的风电场电能质量评估

Power Quality Assessment of Wind Farms Based on Comprehensive Index Weight Optimization Model with Least Square Method

针对主观或客观赋权方法的局限性,提出基于最小二乘综合权重优化模型用于风电场电能质量的综合评估。构造了基于最小二乘法的综合评价模型以降低评价值的偏差,通过构造拉格朗日函数对条件极值进行求解,实现了层次分析法在主观赋值和客观赋值法的有机统一。甘肃昌马西风电场的仿真实例表明,基于最小二乘综合权重优化模型的风电场母线电能质量评估结果正确合理,从而证明了模型的有效性。

In view of the limitation of subjective weight and objective weight, an optimization model of comprehensive index weight based on least square method （LSM） was put forward to evaluate the power quality of wind farms. The overall evaluation model based on LSM was established to reduce the estimated deviation. Then, the organic unity of AHP （ analytic hierarchy process） in both subjective and objective assignment methods was achieved by constructing a Lagrangian function to solve the conditional extremum. Through the simulation of Chang Maxi wind farm in Gansu province, it is demonstrated that the power quality assessment results of wind farm bus, based on the model of comprehensive index weight optimization of LSM, are correct and reasonable, which can prove the validity of the model.