Electric Power ›› 2013, Vol. 46 ›› Issue (9): 131-137.DOI: 10.11930/j.issn.1004-9649.2013.9.131.6

• New Energy • Previous Articles     Next Articles

Dynamic Global Optimal Power Flow and its Two-Stage Control Algorithm of a Power Grid Integrated with Wind Power Farms

LUO Yu-lei1, LI Yan2, WU Kun3   

  1. 1. Sichuan Electric Power Design & Consulting Co., Ltd., Chengdu 610020, China; 2. College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; 3. R&D Centre Electric Power Design Institute, Dongfang Electric Corporation Limited, Chengdu 611731, China
  • Received:2013-05-10 Online:2013-09-23 Published:2015-12-10

Abstract: In order to solve the fluctuation problems of wind power in a grid, the dynamic global optimal power flow analysis is conducted and a two-stage control algorithm and its mathematical model are presented. The algorithm sets the minimum grid power loss as the objective function in a period of wind power output, and optimizes the traditional control method (with the taps of transformers and numbers of capacitors in parallel as variables) and the fast response control method (with active and reactive power compensation) separately, to reduce the action times of the traditional control method and get the optimal control strategy which takes both methods’ advantages. For accurate simulation of wind power connected to the grid and fast convergence of the new algorithm, a modified Newton-Laphson power flow method with genetic algorithm for the dynamic global OPF is set up, in which the P-Q(V) equations are established and the Jacobi Matrix is modified with consideration of the double-fed and asynchronous wind generators connected to the grid. The method is suitable for power flow calculation of the grid integrated with wind farms, and can improve the accuracy of the two-stage control method. The reasonability and efficiency of the proposed algorithm are verified through its application in the analysis of the wind power integrated system in central China area, and comparison of the computed results with those of conventional multi-stage OPF method.

Key words: wind power, dynamic global optimal power flow, two-stage control algorithm, power flow calculation

CLC Number: