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

doi:10.3969/j.issn.1000－7229.2017.10.013

Abstract

Abstract: ABSTRACT： 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.

Key words: wind power uncertainty, scene reduction, optimal power flow (OPF), linearization.

CLC Number:

TM 614

ZHANG Qingsong, WEI Zhinong, XU Jiguang, SUN Guoqiang, ZANG Haixiang, HE Tianyu. Linearized Optimal Power Flow Calculation of Power Systems with Large Scale Wind Farm[J]. Electric Power Construction, 2017, 38(10): 93-.

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