Stochastic Approach in Hybrid Renewable Energy Strategy Optimization

Abstract

Dealing the energy demand with renewable energy was in vogue nowadays, with implemented of hybrid system in renewable energy was exhibit the optimal use of renewable energy. The well optimization approach was developed to find optimal solution. Generally, they able to find the fit component sizing of generating power which specific output characteristic of the renewable energy. The uncertainty of renewable energy and the variance of the load pattern would be a challenge to optimize the component sizing. Some of statistical method could be implemented to deal with the uncertainty and the randomness of load demand. This paper will present those stochastic approach to find the optimal solution in hybrid renewable energy system. The use of probability density function, Monte-Carlo simulation and evolutionary algorithm was able to model the uncertainty and find the optimal solution in randomness. The energy management also implemented and the flexibility of the hybrid renewable energy will have assessed. In addition, the different approach of evolutionary algorithm could be exhibit.