OPTIMIZATION AND CONTROL STRATEGY OF HYBRID GREEN ENERGY SYSTEM FOR MOBILE TELECOMMUNICATION BASE STATIONS IN AKURE, NIGERIA.

Abstract

Hybrid green energy (solar and wind) configuration is mostly used in a situation where the power grid source is not efficient or not cost effective. Their costs can be minimized through proper equipment sizing and load matching. This research aims to adopt the use of optimization of hybrid green energy system capable for powering base transceiver stations (BTS) in Akure, Nigeria. The simulation and optimization were carried out using Hybrid Optimization for Multiple Electric Renewable (HOMER 3.6 pro version) software to determine the net present cost, operating cost per year and the energy cost/kWh. It was found that hybrid green energy can be achieved in the study location. Hybrid-1 energy system is the optimize configuration in which photovoltaic (PV), wind and conventional energy source|(diesel generator) contribute 60%, 30% and 10% of the total energy, which is equivalent to 56969 kWh/yr, 28976 kWh/yr and 9054 kWh/yr respectively. The energy generated from all the hybrid sources clearly shows that it can satisfy the total amount of 65700 kWhr/yr needed by the BTS. The net present cost (NPC), operating and maintenance cost (OMC) and cost of energy per kilo watt (COE/kW) was determined to be ₦101 M, ₦3.06 M and ₦118.80 kW/hr respectively. Hybrid-2 was found to be the configuration with lowest emission of CO 2, but it is not cost effective. A fuzzy logic control system has been implemented to monitor how energy will be supplied to the BTS, the fuzzy surface view show how efficient the control rules is being combined to serve the two output (BTS and battery) source from the three input electrical energy (photo voltaic, wind and diesel generator), the input is represented by X and Y axes while the output is represented by Z axis. The overall result may produce cost effectiveness power system as well as ensure reduction in the greenhouse gas (GHG) emissions within the study location.