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With the increasingly close relationship between renewable energy and the distribution network, this article proposes a reactive power distribution network based on a series of problems such as reactive power fluctuations, network loss increases, and voltage fluctuations in the distribution network. The optimization method is to establish a distribution network reactive power optimization model with the goal of minimizing the new function formed by the entire system loss and the absolute value of the voltage fluctuation; then, the algorithm is optimized by the method proposed in this paper, and then the optimized algorithm is used to The model is solved; finally, the IEEE-33 node system with some nodes connected to renewable energy is used for simulation verification. The simulation results show that the model proposed in the article can greatly reduce the network loss, the total voltage fluctuation is smaller, the compensation amount of the reactive power compensation device is less, and the construction of related devices can be reduced, thereby reducing the investment cost of the distribution network.

Currently, building energy consumption accounts for 30-45% of global energy consumption, and the energy flexibility of the building provides it with controllable potential. In view of the lack of existing research on the overall controllable ability of building energy system from upper energy supply system. This paper defines controllable ability of building energy system, and proposes a unified dynamic evaluation model. Firstly, the impact of each influencing factor on the controllable ability is quantified, including virtual energy storage, electrical appliances, HVAC system, CCHP system, and occupants’ demand response. Secondly, analytical method and optimization method are used to evaluate the controllable ability. Then, based on the division of initial states, a sequential recurrence method is proposed to realize the dynamic evaluation of controllable ability. Finally, a practical case is used to verify the effectiveness and practicability of this method.

The determination of optical system parameters is the first step in the design of optical system of star sensor. In this paper, the influence of the field of view, focal length and relative aperture of the optical system on the star sensor is analyzed. In the selected detector conditions, according to the field, the focal length, and the magnitude of threshold of mutual restriction, signal-to-noise ratio, the size of the catalog and optical system design considering the level of to determine the optical system of the field, focal length, relative aperture, magnitude of threshold, spectral range and center wavelength. In order to meet the signal to noise ratio, the stellar detection limit, detection probability and other requirements, the selected detector were calculated. The method of determining the parameters provide a reference for the design of the optical system of star sensor.

Combining with the fold line videometrics, a method for pose estimation based on monocular measurements is studied. The method to measure the inertial position of the Photometric transfer station and the Orthogonal Iterative Algorithm based on the image space collinearity error is summarized. Then, the mistake using the Singular Value Decomposition (SVD) to solve is described and then introduce the improving algorithm. Finally, the Simulation and actual experiment is done to verify the accuracy of pose estimation using the fold line videometrics. The results show that the precision can reach 1mm or less using a camera with the resolution of 1280 by 1024 pixels, in the condition of 4.5 meter capturing distance and a Leica TS30.