Optimal Scheduling of Multi-Source Combined System with Pumped Storage Based on Improved Black Hole Algorithm

Abstract

With the high-penetration and large-scale renewable energy sources access to the grid, the supply and demand imbalance caused by their uncertainty is becoming increasingly serious, so a wind-pv-hydropower-thermal-pumped storage joint optimal dispatch model is established to alleviate this problem. The output power of each unit is optimized with the minimum cost of power generation, pollutant treatment and renewable energy abandonment as the optimization objectives. An improved black hole algorithm (IBHA) is proposed by introducing cross operation, mutation operation and inertia parameters into the black hole algorithm (BHA), which is used to obtain the optimal solution and coordinate various energy and energy storage devices. The operation results illustrate that the optimization strategy can effectively reduce the power abandonment rate, the operation cost, and the influence of seasonal variation on the system while suppressing the power fluctuation. Comparing the results of the two cases, the renewable energy abandonment rate of the system has been effectively reduced after adding pumped storage energy, which is kept below 4%, the improved algorithm improves the solution accuracy and shortens the solution time.