含大规模风电场的电力系统线性化最优潮流计算

考虑随机因素的最优潮流(optimal power flow,OPF)计算属于非线性计算,随着系统规模增大,计算难度大大增加,计算效率低,难以满足电力系统在线计算分析要求。针对含大规模风电场的电力系统,首先利用近似简化方法对传统考虑风电不确定性的最优潮流模型进行线性化处理,同时利用拉丁超立方采样进行风电场景生成,基于场景削减技术获得概率测度较大的少数风电场景;然后建立一种新的考虑风电不确定性的线性化最优潮流模型;最后利用简化内点法进行求解。IEEE 300节点、Polish 2 736节点系统的计算结果表明,考虑风电不确定性的线性化最优潮流精度高、计算时间短、适用性强。

Linearized Optimal Power Flow Calculation of Power Systems with Large Scale Wind Farm

Optimal power flow (OPF) calculation considering stochastic factors belongs to nonlinear computation,with the increase of the system scale,the difficulty of calculation greatly increases,and the computational efficiency is very low,which is difficult to meet the requirements of power system on-line calculation and analysis.For the power systems with large scale wind farm,this paper firstly linearizes the traditional optimal power flow calculation model considering wind power uncertainty by approximate simplification method,and uses Latin hypercube sampling to create wind power scenarios,in order to get few wind power scenarios whose probability measure is high,based on scene reduction technology.Then,this paper establishes a new linearized optimal power flow model considering wind power uncertainty.Finally,this paper uses the simplified interior point method to solve the problem.The calculation results of the IEEE 300 and Polish 2 736 bus systems show that the linear optimal power flow considering wind power uncertainty has high precision,short calculation time and strong applicability.