**6. Conclusions**

In this paper, every component shown in Figure 1 was modeled and coded in Matlab along with the objective function (COEPS). A wind–hydro grid connected power system was proposed as an adjunct to an existing power grid. This was mathematically modeled and then coded in Matlab. The GA of the Matlab optimization toolbox was used to find the optimal feasible value of the COEPS, which was 0.0955388 \$/kWh. This was 28.7% less than the conventional energy from the power grid. The discounted payback period was 10 years, 3 months, and 7 days. Furthermore, carbon emissions were reduced by 68.66% compared with experimentally estimated data. As a result, the grid energy purchases were also reduced. Specifically, comparing the system described in this study with the

formerly studied on-grid wind-only system showed that the COEPS, ECO2, COERenewables, and grid energy purchases were reduced by 12.26%, 24.69%, 1.52%, and 24.68%, respectively. These are very promising results, especially for oil-importing countries, such as Jordan, where imported energy is a significant financial burden to the economy. The proposed wind power system with hydro storage is recommendable for its clean and economical features, compared with the conventional fossil-fueled grid or wind-only on-grid renewable configurations.

Finally, this paper is a case study to demonstrate the important point of local solutions to the global problem of global warming. The paper is necessarily limited to the specific data and assumptions of the local case study. Future work will include applying the above principle and the methodology of this paper to many other local engineering boundary conditions.

**Author Contributions:** H.M.K.A.-M. wrote the paper, brought the measured data from formal institutions in Jordan, performed the simulation and optimization using Matlab optimization toolbox, mathematically modeled the system and coded these models in Matlab; M.E. helped obtain more meaningful results and reviewed the article before the final submission; A.A.-Q. reviewed the paper and performed the pdf distribution to convert the monthly average wind speed measured data into hourly data; A.A. reviewed the paper and wrote the literature review part.

**Funding:** This research received no external funding.

**Acknowledgments:** The authors would like to acknowledge Yarmouk University, Irbid, Jordan, for their support in this research.

**Conflicts of Interest:** The authors declare no conflict of interest.
