The optimal economic dispatch of smart Microgrid including Distributed Generation

With the decreasing of the fossil energy source and the increasing of load demand, making full use of clean and renewable energy, Distributed Generation (DG) technologies gain more and more attentions. Microgrid (MG) integrates the advantages of power generation from new energy and renewable energy power generation systems connected to the grid. MG can not only enhance the comprehensively cascaded utilization of energy, but also can be used as an effective complementary network of the utility in order to improve the power supply reliability and power quality. Based on the analysis of the structure of Microgrid, an optimization model of economic dispatch Microgrid system is established. By integrating these problems, such as the scheduling of generators, intelligent management of energy storage units and optimization of operated efficiency of the network, into a uniform optimization problem, the complexity of application optimization algorithm is reduced. In this plan, use the Isolation Niche Immune Genetic Algorithm (INIGA) to confirm the accuracy and validity of the mathematic model through some actual examples, and then used this method to compare with some other optimization approaches that usually be used to solve the Energy Management and Optimization Operation problem to show the superiority and usability of the approach mentioned here.