access icon free Optimal placement and sizing of distributed generation-based wind energy considering optimal self VAR control

The impact of distributed generation (DG) units on the voltage stability has become a challenging issue especially when squirrel cage induction generator (SCIG)-based wind DGs are utilised. Optimisation methods are tools which can be used to place and size the DG units in the distribution system, so as to utilise these units optimally within certain constraints. This study aims to optimally size and allocate advanced wind energy based DG technology with innovative reactive power capability, reduced capital cost, and improved energy capture capability to improve voltage stability. Therefore, a new combination of SCIG and doubly-fed induction generator (DFIG) based DG configuration is proposed. In this configuration, the reactive power absorbed by SCIG is supplied by DFIG, and therefore, the combined system operates at unity power factor, which makes it feasible to comply with the IEEE 1547 standard. A methodology is proposed to optimally size and allocate the DG system with an objective function to improve the voltage profile considering numerous technical and economic constraints. The performance of the proposed DG configuration is compared with DGs that utilise SCIG with a parallel reactive power compensation. IEEE 30-bus test system is used to demonstrate the effectiveness of the proposed methodology.

Inspec keywords: distribution networks; asynchronous generators; wind power; distributed power generation; reactive power control

Other keywords: doubly-fed induction generator based DG configuration; DG-based wind energy; wind energy based DG technology; optimisation methods; DFIG based DG configuration; parallel reactive power compensation; innovative reactive power capability; DG units; squirrel cage induction generator-based wind DG; distributed generation-based wind energy; optimal self VAR control; unity power factor; voltage stability; SCIG-based wind DG; distribution networks; voltage profile

Subjects: Power system control; Control of electric power systems; Asynchronous machines; Distributed power generation; Distribution networks; Power and energy control; Energy resources

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