Optimal Control of Combined Wind and Hydrogen System Based on Genetic Algorithm
To deal with increasing demand for clean and efficient energy in the residential sector, distributed energy resources including wind energy, fuel cell, etc. have been paid more and more attention. This paper presents an economical optimal energy management strategy for a grid tied wind fuel cell hybrid power supply system. The hybrid system meets the electrical load demand and sells the excess energy to the grid. The objective is to minimize energy cost and make full use of fuel cell system, taking into account the time of use electricity tariff. The optimal control problem is solved using genetic algorithm and test it with real wind condition. The power to/from the inverter, electrolyzer hydrogen power and fuel cell power are the control variables while the hydrogen in the storage tank are the state variables. The performance of the proposed control strategy is tested by simulating different operating scenarios, with or without fuel cell system feed in or rather export to the grid. The results clearly demonstrate that the new method is able to optimize the operating costs and provide optimally schedules of the combined wind and hydrogen system accurately.
2016 International Conference on Smart City and Systems Engineering (ICSCSE)