基于Matlab与遗传算法的风电容量

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Abstract Based on Xinjiang Buerjin wind-water power network, mathematical model and the simulation module of wind-water power system are built up, which contains excitation and governor synchronous generator system and asynchronous generator system changing with the speed of wind, and the dynamic stability is simulated in these instances: wind generators cut-in gradually or cut-in all wind generators at the same time. The simulation results are compared with the actual running records. The simulation results indicate that the power system will be dynamic stable when generators cut-in one by one, and unstable when seven generators cut-in simultaneously. Based on genetic algorithm, mathematical models to calculate the wind power penetration are build up, the optimum wind power capacity is calculated. The results show that wind-water power system would be unstable when the wind power penetration optimization exceed 15.23%. And simulation analysis can validate it.

Key words： Dynamic simulation dynamic stability genetic algorithm wind power capacity

Received: 28 March 2007 Published: 12 February 2014

PACS:

TM743

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