Hazem Karbouj

This paper proposes a new and comprehensive approach for optimal sizing and placement of a wind farm (WF) in a radial distribution network (RDN) while considering several factors associated with its reliability, operation, economics and environment impact. The consideration of the reliability aspect is essential to correctly assess the impacts of forced outages of wind turbines in the field. In this context, a sequential Monte Carlo simulation-based technique has been formulated to evaluate the performance of the WF with varying capacities at different locations in the RDN. Additionally, the capability of the WF to perform Volt-Var and Volt-Watt control has been capitalized on to provide voltage support to the grid in compliance with international standards (IEEE 1547-2018). Finally, a combination of Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution has been used to assess and determine the optimal size and location of the WF, based on a selected set of performance criteria, namely cumulative violations of the steady-state voltage range, cumulative losses in RDN, cumulative violations of the line thermal rating, levelized cost of energy, and reduction in carbon emission. The proposed approach has been validated considering different modes of voltage control on the standard 33-bus RDN system.

Low‐voltage ride‐through (LVRT) compliance of wind energy conversion systems is one of the significant concerns for both the wind industry and the system operator. In this study, power electronic‐assisted on load tap changer (OLTC) is proposed as a pragmatic solution to enhance LVRT performance of wind turbine generator (WTG). Furthermore, a coordinated control strategy between OLTC and WTG controller is proposed to mitigate post‐fault over‐voltage issues that are encountered due to the relatively slow dynamics of hybrid OLTC. The results suggest that employing hybrid OLTC does not only improve LVRT compliance of WTG but also significantly improve voltage dip‐induced delayed active power recovery of WTG.

In conventional power systems, synchronous generators have been the main source of dynamic reactive power. However, displacement of conventional power plants by non-synchronous generation resources, such as Wind Power Plants (WPPs) and other Renewable Energy Sources (RESs), result in diminished dynamic reactive power reserve at system level. System operators in various countries are planning to tackle this issue by introducing dynamic reactive power reserve as a new ancillary service product. In this paper, reactive power capability of Type-4 wind turbine based WPP considering practical constraints is explored. A new and effective centralized WPP capability based control strategy is proposed to supply dynamic reactive power from a WPP, particularly, beyond grid code requirement. An adaptive method to dispatch reactive power from Wind Turbine Generators (WTGs) in a WPP, is also proposed. In the presented study, wake effect and detailed WPP model are taken into consideration. The proposed strategy is implemented on three wind integrated benchmark power systems developed in DIgSILENT PowerFactory platform using IEC 61400-27-1 standard model of WTG.

In this paper, a novel wind farm control strategy is proposed to mitigate voltage dip induced frequency excursion in wind integrated power systems. In the proposed control strategy, conventional fixed reactive/active current injection priority is replaced by an optimum adaptive priority based reactive and active current injection. The control problem is formulated as binary integer optimization problem, which simultaneously minimizes active power shortfall from wind generation during fault and complies with grid code requirements. Detailed wind farm model and wake effect are taken into consideration to achieve realistic response from the wind farm, while IEC 61400-27-1 wind turbine generator model is adopted for wind turbine modelling. Dynamic model of the test system has been developed in DIgSILENT PowerFactory, while the static model is also developed in MATLAB, and co-simulation platform has been used to test and validate the proposed control strategy.