## 7 Conclusions and Future Work  
This work evaluated the large-scale wind power plant (LSWPP) grid-connected mode of operation by considering grid code specifications in real-time simulation. The studies associated with this topic have been explored. The interconnected system consisting of a LSWPP considered in this study has been carefully selected and, most importantly, described. Case studies have been conducted in consideration of the specifications of renewable energy grid codes (REGCs). The interconnected system developed and considered in this study effectively evaluates the grid-connected mode of operation of an LSWPP. It can be used for other large-scale renewable power plant (LSRPP) systems like photovoltaic (PV) systems.  
It should be noted that in a WPP, not all wind turbine generator units (WTGUs) are operated simultaneously. This study considered the worst-case scenario where all WTGUs were required to operate simultaneously when the contribution of the entire WPP was urgently required. This is the part we will need to improve on when studying the need for WPP integration in the future, and we also look at developing a controller to ensure that the supply power required from the WPP side does not approach to the rated capacity.  
Before this work, we had our previous work listed as follows:  
1. We first looked at the design of wind power plants (WPPs) and modeled a large-scale wind power (LSWPP) in [36].
2. We performed a recap on the existing control methods for modern power grids consisting of WPPs.
3. We evaluated the power grid voltage instability point using system overloading contingency in real-time simulation.
4. Following the work in (3), we recently tested the busbar differential protection system, based on practical considerations, using a real-time digital simulator hardware-in-the-loop (HIL) testing technique.  
Future work will consider a cross-comparison case study, applying the model developed in this study to a different international grid code to demonstrate its adaptability and robustness.  
**Author Contributions:** Conceptualization, S.N., M.E.S.M. and A.K.R.; methodology, S.N., M.E.S.M. and A.K.R.; software, S.N., M.E.S.M. and A.K.R.; validation, S.N., M.E.S.M. and A.K.R.; formal analysis, S.N., M.E.S.M. and A.K.R.; investigation, S.N., M.E.S.M. and A.K.R.; resources, S.N., M.E.S.M. and A.K.R.; data curation, S.N., M.E.S.M. and A.K.R.; writing--original draft preparation, S.N., M.E.S.M. and A.K.R.; writing--review and editing, S.N., M.E.S.M. and A.K.R.; visualization, S.N., M.E.S.M. and A.K.R.; supervision, S.N., M.E.S.M. and A.K.R.; project administration, S.N., M.E.S.M. and A.K.R.; funding acquisition, S.N., M.E.S.M. and A.K.R. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This research received no external funding.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.  
**Acknowledgments:** We thank the Center for Substation Automation and Energy Management Systems (CSAEMS). This research would not have been possible without their facilities.  
**Conflicts of Interest:** The authors declare no conflict of interest.