Abstract

A study combining wind power with pumped hydro energy storage for the Jordanian utility grid is presented. Three solvers of the Matlab optimization toolbox are used to find the optimal solution for the cost of energy in a combined on-grid system. Genetic algorithm, simulated annealing (SA), and pattern search (PS) solvers are used to find the optimal solution. The GA solution of 0.0955388 $/kWh is economically feasible. This is 28.7% lower than the electricity purchased from the conventional utility grid. The discounted payback period to recover the total cost is 10.271 years. The suggested configuration is shown to be feasible by comparing it to real measurements for this case and a previous wind-only case. It is shown that the indicators of the optimal solution are improved. For instance, carbon dioxide emissions (ECO2) and conventional grid energy purchases are reduced by 24.69% and 24.68%, respectively. Moreover, it is shown that the benefits of adding hydro storage, combined with increasing the number of wind turbine units, reduces the cost of energy of renewables (COERenewables). Therefore, combining hydro storage with wind power is economically, environmentally, and technically a more efficient alternative to the conventional power generation.

Highlights

  • Hydro and wind powers are promising renewables

  • The three aforementioned solvers of the Matlab optimization toolbox were selected to solve the problem described in this paper

  • The genetic algorithm (GA) solution was found to be feasible compared with the other solutions

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Summary

Introduction

Hydro and wind powers are promising renewables. due to the stochastic nature of the wind power, it is more efficient and reliable to combine it with another suitable energy system to provide a stable operation for large utility grid systems. In order to solve the global warming and cost of energy problems contributed to by electric power generation, local renewable resources must be utilized, combined, and optimized in their overall system design. This paper addresses these technical problems in a case study of combining wind and hydro power generation in Jordan as a specific location. This paper discusses the combination of a wind and hydropower system (See Figure 1), which help decision-makers find the best technical solutions before actual implementation of the proposed is integrated with the distribution grid in the country of Jordan, as a case study in an oil-importing energy configuration. The locationofwas same asSystem one investigated in [12], where an on-grid wind power system was

Description thethe
Wind Speed and Probability Distribution Function
Modeling of the Hydro Station
Modeling of the Wind Turbine Power Curve
Objective
Indicators of the Objective Function
Optimization Toolbox of Matlab
Results and Discussion
Conclusions
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