Research On Distributed Generation Planning Method Based On Micro-grid

The renewable energy has caused more attention because of the increasing depletion of fossil energy and the deteriorating of environment. With the fast advances of micro-network, the technology of distributed generation has been rapidly developped. The technology of distributed generation based on the micro-network has many advantages such as economical efficiency, flexibility and compatibility, which can greatly imporve system security and economical efficiency, enhance the system reliability and flexibility, reduce the depletion of non-renewable resources.Focused on the research on the distributed generation planning method based on micro-grid, the thesis analyze the different models of power planning in order to find the effective algorithm to sovle the optimization solution. Finally, the thesis attains the optimal planing aimed at the distributed generation planning model. According to the research of the distributed generation planning model, the enconomic model based on the number of model indicators can be divided into the single-objective model and multi-objective model.This paper has adoptted genetic algorithm, improved genetice algorithm and particle swarm optimization to optimize the single-objective model, we can find that the particle swarm optimization has higher efficiency which is indicated by the comparison analysis of the solution.This paper takes use of multi-objective evolutionary algorithm and multi-objective genetic local search to optimize the multi-objective model which is composited by low investment and high energy output. The result shows that the cost of investment has great influence on the selection of optimization algoritm. the optimal algorithm corresponding to the different standards of investment costs:it better to adopt the multi-objective evolutionary algorithm when the investment is low. on the contrary, the multi-objective genetic local search is used.