Ulti period optimal scheduling of wind, thermo and storage combined system based on improved bat algorithm

In order to solve the environmental pollution caused by traditional thermal power generation and the intermittent and fluctuating problems of renewable energy, a multi time optimal scheduling method, which includes wind power, thermal power and energy storage, is proposed. With the goal of minimum operating cost and maximum wind power consumption, a multi time optimal scheduling model for wind and fire storage system is established. In addition to the operation and maintenance costs and depreciation costs, the power loss and the loss caused by charge discharge efficiency in the process of state switching are considered. The cost of energy storage is taken into account in the established energy storage cost function. Bat algorithm is used to solve the model. Considering the shortcomings of the diversity of bat algorithm, Halton sequence is introduced to improve the algorithm. Finally, the improved IEEE 30 node system is used as an example test system to verify the effectiveness of the proposed method, and it is concluded that the proposed scheduling model can improve the capacity of wind power consumption, reduce the power output of thermal power, save the cost of coal consumption and reduce the total cost of the system operation.