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The visual health of teenagers has become the focus of social attention. Good classroom light environment plays an important role in the growth process of teenagers. Classroom lamps are the key factor to build a good classroom light environment. This article is based on the existing common lambert body light distribution curve based on the classroom light building light environment, to further improve the classroom space illumination uniformity, visual comfort, and improve the utilization efficiency of the light, put forward a new type of classroom lamp light distribution curve, and space environment simulation, light type and lambert with comparing the classroom light building light environment, from data analysis, the classroom space uniformity, visual comfort and a considerable improvement of utilization rate of light and verify the feasibility of this kind of light distribution curve, for the construction of high-quality classroom light environment has the reality significance.

As a kind of clean energy, wind power has gained rapid development in recent years. Liaoning Province has abundant wind resources and the total installed capacity of wind power is in the forefront. With the large-scale wind power grid-connected operation, the contradiction between wind power utilization and peak load regulation of power grid has been more prominent. To this point, starting with the power structure and power grid installation situation of Liaoning power grid, the distribution and the space-time output characteristics of wind farm, the prediction accuracy, the curtailment and the off-grid situation of wind power are analyzed. Based on the deep analysis of the seasonal characteristics of power network load, the composition and distribution of main load are presented. Aiming at the problem between the acceptance of wind power and power grid adjustment, the scheduling strategies are given, including unit maintenance scheduling, spinning reserve, energy storage equipment settings by the analysis of the operation characteristics and the response time of thermal power units and hydroelectric units, which can meet the demand of wind power acceptance and provide a solution to improve the level of power grid dispatching.

Large-scale access of distributed power can improve the current environmental pressure, at the same time, increasing the complexity and uncertainty of overall distribution system. Rational planning of distributed power can effectively improve the system voltage level. To this point, the specific impact on distribution network power quality caused by the access of typical distributed power was analyzed and from the point of improving the learning factor and the inertia weight, an improved particle swarm optimization algorithm (IPSO) was proposed which could solve distributed generation planning for distribution network to improve the local and global search performance of the algorithm. Results show that the proposed method can well reduce the system network loss and improve the economic performance of system operation with distributed generation.