Power Load Optimization for a Remote Area BTS Site Using MPPT Algorithms

Bahaa Abdul Khaliq; Anas Lateef Mahmood

Bahaa Abdul Khaliq Electronic and communications engineering department, College of engineering, Al-Nahrainuniversity, Baghdad, Iraq
Anas Lateef Mahmood Lucturer, Electronic and communications engineering department, College of engineering, AlNahrain university, Baghdad, Iraq

Keywords: PV system, BBC, BTS, MPPT, HC algorithm, IncCond algorithm.

Abstract

Solar energy is one of the most significant renewable energy sources. It has advantages of no pollution and does not make any noise and for this reasons the using of solar energy is increased rapidly in the last years. Solar energy depends on the environmental factors, such as temperature (T) and irradiation (G), which are dynamic, therefore it requires to obtaining the maximum power at any ambient conditions to support the load with the required power. Maximum power point tracking (MPPT) is one of the methods which widely used to optimize system performance and many MPPT techniques have been published such as hill climbing (HC) and incremental conductance (IncCond) methods. This paper deals with tracking the maximum power point (MPP) of standalone photovoltaic (PV) source used to support the rural area base transceiver station (BTS) that uses the MOTOROLA (Horizon II macro) equipment at changing the ambient conditions. The comparison of the two MPPT algorithm methods (HC and IncCond) to maximize the obtained solar power is achieved. Also an equation for calculating input capacitor value used in buck boost converter (BBC) design was developed in this paper. The KC65T solar module is used as the PV panel in this work. Simulation results are obtained using MATLAB program (Ver.14). The main result of the comparisons shows that the IncCond method is better than the HC method in fast environmental conditions changing.

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