Abstract

A hybrid renewable energy system, which could provide a reliable energy alternative for conventional Battery systems is implemented in this paper. The primary requirement is that the hybrid energy system should be cost-effective while meeting the energy demand. The hybrid system is implemented to a area located in Uttarakhand, India using solar photovoltaic cells to supply power during hot and humid conditions and using wind turbine generators to supply power during windy conditions. The wind turbine generators and photovoltaic cells are used in a combined manner along with the diesel generators as in case if it fails to meet the demand. In order to meet the requirements, modified Differential Evolution (DE) Algorithm is being implemented. Moreover, the effectiveness of the performance is evaluated by comparing the results obtained from modified DE with other optimization algorithms. In comparison with other optimization algorithms, results indicate that the implementation of the modified DE algorithm helps in obtaining the best cost effective solution for the system along with meeting the energy demand.

Highlights

  • Complexity and size of the power system is increasing day by day, owing to increasing population and demand of electricity

  • We provide an overall view or the steps involved in the modified Differential Evolution (DE) algorithm which is proposed by authors in [23]

  • The modified DE algorithm is applied to the hybrid system in brid renewable energy system (HRES) system problem in the Almora District in Uttarakhand using MATLAB

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Summary

Introduction

Complexity and size of the power system is increasing day by day, owing to increasing population and demand of electricity. For instance, if wind is to minimize the final system cost It helps identify the best and solar plant combine, during cloudy days, the wind tur- possible combination of the hybrid system components which bine’s output increases. The hourly power output of the PV array is calculated using small introductions about the various types of optimization al- Eqn (1) as follows: gorithms that can be included in these systems are being summarized. Where, Ptpv is the hourly power output of the PV array in kW, The combination of wind as well as solar energy systems fpv is the PV Derating Factor, Ypv is the PV array capacity in with battery as a backup source was being implemented to var- kW, IT is the global solar radiation incident on the PV Array ious test case systems in [6] and [7]. The objective function of the given HRES system along with other constraints is given below: where vcut−in, vcut−out, and vrated are the cut in, cut out and rated speeds of the wind turbine generator respectively in m/s and Prated gives the rated output power of the wind turbine generator unit in kW

Storage Battery The storage battery is modeled using the following equation
Load Profile
Implementation of Modified Differential Algorithm
Initialization of parameter vectors
Results
Conclusion
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