Under the influence of social development, weather and geology, the difficulty of long-distance route operation and maintenance gradually increases. In this paper, a ground station system suitable for taking off and landing in different places is developed to make the fixed wing UAV no longer fly back, improve the length of single flight operation, optimize flight efficiency, and solve the problem that inspection personnel still need to travel by bus.
With the implementation of the "double carbon" plan, a large number of wind turbines, photovoltaic generators and energy storage devices are connected to the distribution network (DN), posing new challenges to the stability and economic operation of the DN. The uncertainty of wind power generation and photovoltaic power generation puts forward higher requirements for dispatching control of DN. The addition of energy storage devices can restrain the fluctuation of wind and solar output, but considering its high cost, it is necessary to reasonably use energy storage resources. In order to reasonably dispatch the resources in the DN and reduce the economic cost and network loss, a DN optimal dispatch method based on improved Harris Hawk algorithm (IHHO) is proposed. Firstly, Sobol sequence is used to form uniformly distributed initial population (IP) position; Secondly, the nonlinear energy factor is used to make the algorithm still have the ability to jump out of the local optimum in the later stage; Finally, the Newton iteration method is used to enhance the local search energy in the development stage. The example analysis shows that the optimal control algorithm can effectively reduce the network loss and operation cost of the DN on the basis of the safe operation of the DN.
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