The optional dispatch of microgrid is a new complex issue with both important economic benefits and social benefits. In order to ensure the microgrid with distributed power to operate in a more economical

flexible and environmental way

and the advantages of distributed generation can be fully played

according to the problem of optimal scheduling of microgrid

this paper proposes a multi-objective optimization function model of microgrid with electric vehicle which is used as a load and power generation unit at the same time

which aims to maximize the economic benefit and minimize the environmental cost of multi-objective optimization of microgrid. In the process of optimization

this paper introduces the structure of double chain and the adjustment strategy of dynamical rotation angle

proposes a new modified quantum genetic algorithm

and compares with the traditional genetic algorithm and the fundamental quantum genetic algorithm. Finally

a numerical examples are provided to verify the effectiveness and feasibility of the proposed model

strategy and algorithm.