Abstract:  ABSTRACT：  In the background of global Energy Internet, wind power as a clean energy has attracted much attention. But the volatility of wind power causes a strong impact on the security and stable operation of the power system, abandoned wind becomes more and more serious. Therefore, this paper proposes a new wind power consumptive strategy, which adopts the extreme-point symmetric mode decomposition （ESMD） to decompose the original wind power output into the smooth output curve and the fluctuating component, uses hybrid energy storage to absorb its fluctuating component, at the same time in the operation of the system accommodates more wind power through demand response. According to the shortcoming that the particle swarm optimization （PSO） algorithm is easy to fall into local optimum, we introduce the Levy flight PSO algorithm to enhance the ability of the particles to jump out of the “premature”. The numerical example proves the effectiveness of this wind power consumptive strategy, that the use of hybrid energy storage and demand response can improve the ability of accommodating wind power system, while maintaining a certain running cost. 

Key words:  Energy Internet, wind power consumption, demand response, extreme-point symmetric mode decomposition（ESMD）, hybrid energy storage