Abstract
The interconnection of wind power plants (WPPs) with distribution networks has posed many challenges concerned with voltage stability at the point of common coupling (PCC). In a distribution network connected WPP, the short-circuit ratio (SCR) and impedance angle ratio seen at PCC (X/RPCC) are the most important parameters, which affect the PCC voltage (VPCC) stability. Hence, design engineers need to conduct the WPP siting and sizing assessment considering the SCR and X/RPCC seen at each potential PCC site to ensure that the voltage stability requirements defined by grid codes are provided. In various literature works, optimal siting and sizing of distributed generation in distribution networks (DG) has been carried out using analytical, numerical, and heuristics approaches. The majority of these methods require performing computational tasks or simulate the whole distribution network, which is complex and time-consuming. In addition, other works proposed to simplify the WPP siting and sizing have limited accuracy. To address the aforementioned issues, in this paper, a decision tree algorithm-based model was developed for WPP siting and sizing in distribution networks. The proposed model eliminates the need to simulate the whole system and provides a higher accuracy compared to the similar previous works. For this purpose, the model accurately predicts key voltage stability criteria at a given interconnection point, including VPCC profile and maximum permissible wind power generation, using the SCR and X/RPCC values seen at that point. The results confirmed the proposed model provides a noticeable high accuracy in predicting the voltage stability criteria under various validation scenarios considered.
Highlights
Accepted: 16 April 2021Wind power is one of the most sustainable, abundant and cost-effective energy sources [1,2]
The Pwind -dVPCC characteristics plotted by the proposed model were compared with the reference characteristics given by the IEEE test systems presented in Figures 5 and 6
The Pwind -dVPCC characteristics gained by the proposed decision tree algorithm-based model were compared with the results obtained by one of the most efficient methods presented in [1], which is capable of simplifying the wind power plants (WPPs) sizing and siting
Summary
Accepted: 16 April 2021Wind power is one of the most sustainable, abundant and cost-effective energy sources [1,2]. A large portion of wind power is being injected into distribution systems through small wind power plants (WPPs). According to voltage regulation requirements defined by grid codes in various countries, such as Australia, the UK and Canada, the interconnection of WPPs to distribution networks must ensure that the steady-state voltage at the point of common coupling (PCC) is maintained between 95% and 105% of the rated grid voltage [3]. At a given distribution network connected WPP, the steady-state voltage at the PCC (VPCC ) is significantly impacted by short circuit capacity (SCC), short circuit ratio (SCR) and overall system impedance angle ratio seen at that site expressed by the. These parameters are explained as follows: Published: 19 April 2021. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations
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