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Planning is vital for the development of power system, mainly aims to choose appropriate circuitry expansion so as to achieve the optimization in the safe operation and economical efficiency of the electric power system. As in the electricity market environment, more uncertainty to the grid planning will bring new challenges, and with new energy access into grid, power grid planning will lead to more risk. How to handle a variety of uncertainties in electricity market environment, how to evaluate risk factors for network planning, and how to better evaluate the results of network planning have become current pressing problems.With the fully study and absorbability of the previous results, this paper takes the issue before as a goal and has proposed multi-scenario planning to deal with uncertainties under electricity market environment. Using the component reliability to simulate assessment of the risk factors in grid, combined with comprehensive economic analysis, at last, economic and reliable grid planning is found.Firstly, it has described the content and research status of network planning, from several aspects of the power supply and demand analysis, uncertainty modeling, network planning, network programming method and the risk of wind access, and also put approach treatment. Secondly, Monte Carlo simulation is used to the application of wind output power, it takes the wind output power as multiple scenes, which are solved through the genetic algorithm for flexible network planning, then with different scenarios applying to analyze different planning. Thirdly, it has proposed risk assessment theory, which uses components outage model to analysis grid probability risk and a simple example is described. Finally, the changed 18-node system is applied in multi-scenario network planning, the election planning are treatment for risk assessment so as to determine the risk probability and risk costs, at last, the targeted optimal network planning is comprehensively made out.
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