Probabilistic Approach to Optimizing Active and Reactive Power Flow in Wind Farms Considering Wake Effects

Energies

Jae-Kun Lyu²  Jae-Haeng Heo²  Jong-Keun Park¹ 

[1] Department of Electrical Engineering & Computer Science, Seoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, Korea; E-Mail:;Wind Energy Grid-Adaptive Technology Research Center, Chonbuk National University, Jeonju 561-756, Korea; E-Mails: E-Mails:

关键词: wind power integration;    correlated wind speed;    Weibull distribution;    Monte Carlo Simulation (MCS);    Probabilistic security-constrained optimal power flow (P-SCOPF);   

DOI  :  10.3390/en6115717

来源: mdpi

【 摘 要 】

This paper presents a novel probabilistic optimization algorithm for simultaneous active and reactive power dispatch in power systems with significant wind power integration. Two types of load and wind-speed uncertainties have been assumed that follow normal and Weibull distributions, respectively. A PV bus model for wind turbines and the wake effect for correlated wind speed are used to achieve accurate AC power flow analysis. The power dispatch algorithm for a wind-power integrated system is modeled as a probabilistic optimal power flow (P-OPF) problem, which is operated through fixed power factor control to supply reactive power. The proposed P-OPF framework also considers emission information, which clearly reflects the impact of the energy source on the environment. The P-OPF was tested on a modified IEEE 118-bus system with two wind farms. The results show that the proposed technique provides better system operation performance evaluation, which is helpful in making decisions about power system optimal dispatch under conditions of uncertainty.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.