Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system - Using chaotic quantum genetic algorithm

摘要

With the decreasing of the fossil fuel energy resources and the increasing energy load demand Distributed Generation (DG) technologies have received more attention Smart MicroGrid (SMG) systems integrate the power generation advantages from new and renewable energy power generation systems connected to the standard grid. SMG can enhance the comprehensively cascaded energy utilization and also provide an effective complementary network that improves power supply reliability and power quality. SMG has become one of the most up-to-date and important topics in the field of power systems all over the world. According to distributed generation SMG characteristics, such as Photo Voltaic (PV), Wind Power (WP), Water Turbine (WT), Fuel Cell (FC), gas turbine and micro-gas turbine, considering different fuel efficiency, operation and maintenance costs, the greenhouse gas emission levels of distributed generation with various types and capacity a novel SMG model environmental and economic dispatch is presented that considers generation cost and emission costs. This paper uses the quantum genetic algorithm to confirm the accuracy and validity of a mathematic model using actual examples compared with other optimization approaches used to solve the economic dispatch problem. The superiority and usability of the proposed approach is discussed.