In view of voltage fluctuation of isolated island multi-wind diesel hybrid system due to wind energy and load fluctuation

the strategy for compensating system reactive power by the use the load side converter（LSC）of the double fed induction generator（DFIG）is proposed.Considering the situation of not completely measurable variables and uncertain parameters of LSC

a kind of date driven

model-free LSC additional control method based on deep reinforcement learning algorithm of continuous action space is proposed in this paper.The method can obtain control strategy in a non-linear manner to reduce voltage fluctuation and have a faster response speed and stronger adaptability to the uncertainty of the model.Firstly

the mathematical model of the isolated island multi-wind-diesel hybrid system is set up.Then

the reactive voltage control strategy of LSC in the continuous domain is optimized offline on the basis of deep reinforcement learning algorithm.After that

the features are extracted online through stacked denoising auto-encoder（SDAE）and the strategy network is used for online control.The numerical simulation results show that

compared with the traditional control strategy

the control method proposed in this paper can effectively suppress the voltage fluctuation and have a better dynamic stability control effect of system.