| Currently, wind power has been the most mature technology, the highest commercial development level and the largest development scale of renewable energy generation. However, the intermittent and randomness of wind have brought a series of problems for the secure and economic operation of power systems. While the joint operation of energy storage systems and wind farms just can solve these problems. Therefore, based on the related theory achievements and application researches at home and abroad, this paper makes deep research on the control strategies and optimal configuration of energy storage system as well as the joint operation of wind farms and energy storage system.In order to restrain wind power fluctuations and improve the stability of wind power output, avoiding the occurrence of over charge and deep discharge of energy storage system, a control strategy about the joint operation of energy storage systems and wind farms is proposed in this paper. Based on battery energy storage system (BESS) model, this paper presents the two performance indicators that characterize battery energy storage system operating conditions, using a first-order lowpass filter to determine the reference value of wind power connected to grid. The fuzzy adaptive control strategy is introduced into the optimal control of wind farm energy storage system, being used to adjust energy storage system power value. What’s more, the state of charge (SOC) is effectively controlled and maintained at a reasonable level, effectively prolonging the service life of energy storage system. Then simulations have been made on the conditions of with or without the fuzzy adaptive control system, and the correctness and effectiveness of the proposed control strategy are showed by the simulation results.In order to improve the economy of energy storage system in wind farms, the capacity optimization strategy of the energy storage system is proposed in this paper. As well as based on the strategy, the optimal capacity model is established by taking the minimum whole life cycle cost of energy storage device as the optimization objective, and by considering the operation indices (such as the loss of power supply probability) as constraint conditions. At last, the complex optimization model is solved by PSO algorithm. With the example system, it verifies the correctness and effectiveness of the proposed model. At the same time, The method can also provide references for the capacity optimization of energy storage units in wind generation system.The joint daily operational optimization model is built to maximize the daily whole revenue considering punishment constraints of the joint output in this paper. Then, the joint operational optimization case is transferred to the mixed-integer programming case by linearization. The model is solved by using the software GAMS/CPLEX in the last. In the meantime, the analyses are performed on the economy between the wind farms operating independently and the joint operation of wind farm and energy storage devices in different scenarios. As indicated in the case results, the joint operation of wind farm and energy storage devices can reduce the impact of wind power output fluctuations on system, and have a better economics. |
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