Information Systems International Conference (ISICO), 2 – 4 December 2013 Copyright © 2013 ISICO Optimum Sizing of Photovoltaic-Wind Power Hybrid System For Small Information System Center in Perlis, Malaysia M. Irwanto, Y.M. Irwan, N. Gomesh, S. P. Hadi M. Irwanto*, Y.M. Irwan*, N. Gomesh*, S. P. Hadi** * Center Excellence for Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Malaysia ** Department of Electrical and Information Technology, Gadjahmada University (UGM), Indonesia Keywords: Photovoltaic Wind power Hybrid system Information system centre ABSTRACT This paper presents a methodology for calculation of the optimum sizing of photovoltaic (PV)-wind power hybrid system. Data of temperature, solar radiation and wind speed throughout the year of 2011 in Perlis was recorded and analyzed. These data were used to calculate the power of PV and wind generation. Power difference between the inverter demanded power of the small information system center and generated power was calculated. To find the optimum sizing of PV-wind power hybrid system, a wind power generation was decided to be hybrid with number of the PV module. The result shows that the optimum PV module number is 18 (difference between the generated power and demanded power is zero). It is assuming that the inverter demand power of small information system center for the working day and public holiday were 500 W and 100 W, respectively. Copyright © 2013Information Systems International Conference. All rights reserved. Corresponding Author: M. Irwanto, Center Excellence for Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Taman Pengkalan Indah, Jalan Pangkalan Asam, Kangar, Malaysia. Email: irwanto@unimap.edu.my 1. INTRODUCTION Since the oil crisis in the early 1970s, utilization of renewable energy has become increasingly significant, attractive and cost-effective [1]. Solar irradiance and wind speed are energy resources to study energy generations using photovoltaic (PV) and wind power generation. Each of these depends on factors such as latitude, altitude load profile, season, sea and land breeze and solar activities [2]. In recent years, PV - wind power hybrid has become viable alternatives to meet environmental protection requirement and electricity demand. It has advantages, the first it may gain a certain level of reliability of supply without the need for an unreasonable increase of the size of converters or storage often occurring for stand alone system, the second it reduces the battery storage and diesel requirements, the third it can operates on the alternation of day and night and change of weather, it not only affects normal energy consumption but also results in batteries being discarded too early [3, 4, 5]. Various optimization technique of the PV - wind power hybrid sizing have been reported in the literature such as [1, 5] suggested a methodology to perform the optimal sizing of an autonomous PV and wind power hybrid system. The methodology aims at finding the configuration, among a set of systems components, which meets the desired system reliability requirement, with the lowest value of levelized cost of energy. Modeling a PV - wind power hybrid system that is considered as the first step in the optimal sizing procedure. The second step consists to optimize the sizing of a system according to the loss of power supply probability (LPSP) and the levelized cost of energy (LCE) concepts. A modeling a PV - wind power hybrid system is proposed by [4] and considered as the first step in the optimal sizing procedure. The second step consists to optimize the sizing of a system according to the loss of load probability (LOSP) and the life cycle cost of energy (LCC) concepts. An algorithm to find optimum sizing of the PV - wind power hybrid system was developed by [6]. The data of solar irradiance and wind speed every hour of the day and manufacture’s specification on a PV module and wind power generation were used to calculate the average power generated