Review on multi-objectives optimization methods in hybrid power generation

Abstract

One of the popular topics in hybrid power generation is how to optimize the operation and performance of systems considering the behavior of different input variabilities and characteristics of power generation including customers load fluctuation. In optimization problems, several objective functions within certain constraints have been reviewed, for instance to minimize the gas carbon emission, to reduce the fuel cost consumption for power generation, to maximize the capacity of renewable energy sources in hybrid power generation and so on. To achieve the solution for the optimization problems, several computational methods and techniques based on mathematical numeric approaches, artificial computational techniques and meta-heuristic techniques have been proposed. This paper would like to investigate more detailed about the multi-objectives optimization techniques in hybrid power generation for the reasons of popularity of techniques in recent years. In future, the fast and accurate computational capabilities with simple algorithms are expecting to play important role for the solution of multi-objective optimization tasks in hybrid power generation.

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