Economic-environmental dispatch of microgrid based on improved quantum particle swarm optimization
Abstract
As a practical choice to deal with energy security and low-carbon development, the microgrid can effectively promote the consumption of renewable energy. However, the volatility of renewable energy output affects the stable operation of microgrid. In order to ensure the reliability of power supply and improve the economy and environmental protection, this paper studied the short-term economic-environmental (EED) problem of the microgrid. Based on the dispatching model, this paper introduced the differential evolution (DE) into quantum particle swarm optimization (QPSO) and used the improved QPSO to solve problem. Through Friedman test, the performance is compared. The results show that: First, renewable energy should be preferred for generation, micro gas turbine take priority to meet thermal load, fuel cell, and storage battery are used for power supplement and power transaction. This plan can optimize the units output and reduce the emission of pollution gas on the premise of satisfying the regular operation of the microgrid. Second, in the later stage of improved QPSO, the ability to jump out of local optimal solution is stronger. Then, the improved QPSO can obtain better results. Therefore, the improved QPSO has better performance, and it is more suitable for solving microgrid EED problems than QPSO and CLQPSO.
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