Developing a Mathematical Model for Wind Power Plant Siting and Sizing in Distribution Networks

Seyed Morteza Alizadeh, Sakineh Sadeghipour, Cagil Ozansoy and Akhtar Kalam
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Seyed Morteza Alizadeh: College of Engineering and Science, Victoria University, Melbourne 3011, VIC, Australia
Sakineh Sadeghipour: Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne 3011, VIC, Australia
Cagil Ozansoy: College of Engineering and Science, Victoria University, Melbourne 3011, VIC, Australia
Akhtar Kalam: College of Engineering and Science, Victoria University, Melbourne 3011, VIC, Australia

Energies, 2020, vol. 13, issue 13, 1-34

Abstract: Wind Power Plants (WPPs) are generally located in remote areas with weak distribution connections. Hence, the value of Short Circuit Capacity (SCC), WPP size and the short circuit impedance angle ratio (X/R) are all very critical in the voltage stability of a distribution system connected WPP. This paper presents a new voltage stability model based on the mathematical relations between voltage, the level of wind power penetration, SCC and X/R at a given Point of Common Coupling (PCC) of a distribution network connected WPP. The proposed model introduces six equations based on the SCC and X/R values seen from a particular PCC point. The equations were developed for two common types of Wind Turbine Generators (WTGs), including: the Induction Generator (IG) and the Double Fed Induction Generator (DFIG). Taking advantage of the proposed equations, design engineers can predict how the steady-state PCC voltage will behave in response to different penetrations of IG- and DFIG-based WPPs. In addition, the proposed equations enable computing the maximum size of the WPP, ensuring grid code requirements at the given PCC without the need to carry out complex and time-consuming computational tasks or modelling of the system, which is a significant advantage over existing WPP sizing approaches.

Keywords: wind power plant; distribution network; X/R ratio; short circuit capacity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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