| In the face of the depletion of fossil energy and the increasing problems of environmental pollution and climate change,it has become the consensus of the international community to vigorously develop and utilize renewable energy.In recent years,renewable energy generation,such as wind power and photovoltaic power generation,has been vigorously developed.At present,China has become the largest installed country of wind and photovoltaic power generation in the world.However,the random fluctuation of renewable energy power generation seriously restricts its large-scale grid connection,and even induces the serious phenomenon of "The waste of wind and photovoltaic generation capacities".Energy storage has good controllability and fast adjustment characteristics,which is an important means to smooth the fluctuation of renewable energy power generation.The optimal allocation and dispatching control of renewable energy storage station is of great significance for large-scale renewable energy consumption and economic operation of power system.Based on the analysis of different types of energy storage systems and their characteristics of smoothing the fluctuation of renewable energy generation,this paper proposed an energy storage optimization control strategy which can effectively smooth the fluctuation of renewable energy generation,and improve the penetration of renewable energy generation in the power grid.The main work and innovation achievements of this paper include:(1)An energy storage scheduling command based on wavelet packet decomposition(WPD),an energy storage capacity based on spectrum analysis and an energy storage power optimal allocation based on dynamic programming(DP)are designed.The overall solution constructs the integrated wind storage system and contains a relatively complete energy storage model,which provides a strong support for the design of energy storage scheduling and control strategy.(2)A hybrid energy storage scheduling control strategy with electric vehicles(EVs)is proposed,which solved the high-dimensional problem of EVs participating in smoothing wind power fluctuations,and realized the orderly scheduling control of hybrid energy storage.The core content of the strategy is based on the premise of eliminating the fluctuation deviation to be suppressed,and considering the constraints of the characteristics of energy storage system and the energy storage value of the single EV in the future,the DP algorithm based on the knapsack problem is adopted to conduct orderly optimization of the EVs.(3)Taking a 50MW wind farm as an example,we verify the effectiveness of the smoothing strategy proposed in this paper through simulation.First,we determine the target grid-connected power and energy storage target instruction,and configure the energy storage capacity.Then,the hybrid energy storage scheduling control strategy in working day and non-working day scenarios is verified.The results show that the wind power fluctuation can be controlled within the maximum value of the active power variation of the wind farm by using the dispatching control strategy in this paper,and the energy storage unit has a better ability to follow the energy storage dispatching target instruction.In addition,considering the energy storage value of EVs,the hybrid energy storage strategy with EVs is more conducive to achieve long-term flexible scheduling. |
PDF Full Text Request