Optimal sizing of Wind/Solar/Hydro in an isolated power system using SMUGF based FPA

Renewable Energy Resources like Wind, Solar, Biomass, Tidal, Hydropower and Geothermal constitute a type of power generation and received much attention as alternatives for conventional power generation. Renewable Energy Resources (RER) will help to mitigate the emission of green house gases. In this paper, a study on reliability constrained optimization of an isolated power system is carried out. It consists of 25-kW Wind unit, 10-kW solar unit and 10-kW Hydro unit. Hourly speed of wind, solar radiation and water discharge and load profile is obtained using data synthesizer. Firstly, combined Semi-Markov and Universal Generating Function (SMUGF) models for the wind speed, solar irradiation, water availability and load profile with transitions among all states are formulated. Then the reliability constraint Loss of Load Probability (LOLP) is obtained from Aggregate SMUGF model. The objective function with cost and number of units and reliability constraint is formulated. Cost minimization and optimal sizing is performed using Flower Pollination Algorithm (FPA). All the above analysis is carried out in MATLAB 2014b software. A comparison of results between the algorithms will be presented and analyzed.