Optimization and Evaluation of Hybrid PV/WT/BM System in Different Initial Costs and LPSP Conditions

Abdülsamed Tabak,Hüseyin Oktay,Muhammet Tahir,Mehmet Özkaymak

doi:10.14569/ijacsa.2017.081116

Abdülsamed Tabak, Hüseyin Oktay + Show 2 more

Open Access

https://doi.org/10.14569/ijacsa.2017.081116

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Abstract

A modelling and optimization study was performed to manage energy demand of a faculty in Karabuk University campus area working with a hybrid energy production system by using genetic algorithm (GA). Hybrid system consists of photovoltaic (PV) panels, wind turbines (WT) and biomass (BM) energy production units. Here BM is considered as a back-up generator. Objective function was constituted for minimizing total net present cost (TNPC) in optimization. In order to obtain more accurate results, measurements were performed with a weather station and data were read from an electricity meter. The system was also checked for reliability by the loss of power supply probability (LPSP). Changes in TNPC and localized cost of energy (LCOE) were interpreted by changing LPSP and economic parameters such as PV investment cost, WT investment cost, BM investment cost, and interest rates. As a result, it was seen that a hybrid system consisted of PV and BM associated with an effective flow algorithm benefited from a GA meets the energy demand of the faculty.

Highlights

As energy demand increases, fossil-based energy sources are running out
Size optimization was performed according to the lowest cost and highest reliability to meet the energy requirement of a faculty in Karabuk University Campus with BM supported PV/wind turbines (WT) hybrid energy system
WT energy was not considered as a profitable energy source by genetic algorithm (GA) due to the insufficient wind speed around Karabuk University for an efficient wind energy production

Summary

Introduction

As energy demand increases, fossil-based energy sources are running out. Usage of renewable energy sources such as solar, wind and hydroelectric, become widespread as an alternative to the depleting fossil resources [1]. Despite the widespread use of renewable energy sources, they are still not cost-effective as conventional energy sources [2]. For this reason, some economic and reliability calculations must be taken into consideration before investment. Renewable energy sources are used as hybrid systems to reduce investment costs and increase system reliability. Because, when they are used individually, some disadvantages arise due to their stochastic properties whereas, these disadvantages disappear when they are used as hybrid systems [3], [4]. If renewables are used as hybrids, optimum sizing studies can be done according to the variable load. The objective function is constituted, and mathematical calculations are performed to obtain the lowest value of this function [5]

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Conclusion