Reactive power optimisation of distribution network with dispersed wind farm. Issue 13 (18th December 2017)

• Record Type: Journal Article
• Authors: Jiandong, Duan; Bing, Xue; Lupeng, Chen
• Is Part Of: Journal of engineering. Volume 2017:Issue 13(2017)
• Page Start: 1983
• Page End: 1987
• Publication Date: 2017-12-18
• Subjects: optimisation -- distributed power generation -- wind power -- distribution networks -- power generation control -- wind power plants -- reactive power; foreign entities -- voltage deviation model -- real‐time penetration model -- reactive power output -- wind farms -- harmonic search algorithm -- IEEE33 node system model -- established optimisation model -- maximum wind power consumption -- reactive power optimisation -- distribution network -- dispersed wind farm -- energy shortage -- recent strong demand -- renewable clean energy -- distributed generations -- dispersed wind power -- clean characteristics -- flexible characteristics -- important focus -- domestic entities; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0676
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : Environmental pollution and energy shortage have resulted in a recent strong demand for distribution networks to accept renewable clean energy. As an important part of distributed generations, dispersed wind power with its clean and flexible characteristics has been an important focus of domestic and foreign entities. In this paper, the voltage deviation model and the maximum wind power real‐time penetration model were established as the two objective functions, and the reactive power output of wind farms was considered to regulate the voltage. The harmonic search algorithm was used to solve the model, simulation test with IEEE33 node system model was carried out, and the results show that the established optimisation model as well as its solution strategy can make full use of the reactive power output of wind farms to achieve the maximum wind power consumption.