The Optimal Allocation Of Micro-grid Based On Multi-strategy Improved Genetic Algorithm

Energy is an important material basis for human survival. It is related to thesafety and development of people’s livelihood and economy. Moreover it is theprimary platform for applying scientific innovation services. From the timesense, energy deepening has an influence on national economic developmentand social progress. States are beginning to actively join in the development andutilization of new energy. Furthermore electricity industry desperately needsreform to be intelligent. In China’s energy structure, there is some certainunfairness, so that the consequent social and environmental problems are causedbecause of the low energy utilization.Distributed generation technology is of great help for the use of clean andrenewable energy, and can increase the security of energy supply by improvingthe energy structure. However, when accessing large scale distributed generationin the distribution network, the system will usher in a new challenge.Micro-grid is an effective way of integration of distributed generation,because it can effectively utilize its benefits while exclude disadvantages to the bulk power system. Micro-grid is not only a key module for building the smartgrid, but also the development direction States focused on for the future. Formicro-grid accessing to distribution grid, multi-objective optimization model isproposed based on the minimum of investment and run cost, active network lossand voltage offset of load node. Chaos quantum genetic algorithm of integrationvariety optimization strategy is also proposed. Optimization is realized throughMATLAB and PSASP respectively, and effectiveness of the mentionedalgorithm is verified comparing the results. Optimization planning on Taiyuan10kV instance is achieved.Specific contents of this paper are as follows:(1) In this article, background, as well as domestic and internationaldevelopments in the micro-grid is stated. The importance of micro-griddevelopment and planning is stressed and the concept of micro-grid isintroduced emphasizing its characteristics for planning. A summative analysis ofstudy results on the micro-grid from various studies is conducted, and it canprovide a theoretical basis for the micro-grid plan.(2) The running characteristics and research status of photovoltaic power,wind turbines, micro gas turbines, batteries and other distributed generation areresearched, and their typical characteristics is simulated using MATLAB. Itprepares corresponding theory and mathematical calculations for the afterrational planning. Multi-objective optimization algorithm and intelligentoptimization algorithm are analyzed preliminarily (3) In this paper, a multi-objective optimization model is proposed based onthe minimum of investment and run cost, network loss and voltage offset of loadnode. Meanwhile a new optimizing algorithm-chaos quantum genetic algorithmis achieved gathering various optimization strategies. Traditional geneticalgorithm and the algorithm implemented are compiled by MATLAB. TakingIEEE30system as an example, the micro-grid distribution network planning isbuilt. The best location and the best distribution network capacity through twotypes of optimization algorithms are obtained, and the results are compared.Based on the minimum of network loss, optimal power flow module ofPSASP6.28is used to calculate optimal power flow for the same access. Resultsshow the advantages of the proposed algorithm, and demonstrate itseffectiveness.(4) Optimization models, constraints, and the proposed algorithm are usedin an example that micro-grid is accessed to10kV distribution network ofTaiyuan, and an analysis of the results is obtained. For the feasibility, data iscollected by Homer, and sensitivity analysis is made according to theoptimization results.