| With the development of society,the energy crisis and the resulting environmental problems have always been issues of concern.As a new energy source,offshore wind power,if fully developed,will greatly reduce the adverse impact caused by the problem.However,our country is still in the initial stage for the development of offshore wind power.In the pre-feasibility study,feasibility study and other program phases,there are many typical processes with large computation and high repetition rates.Manual calculation requires multi-sectoral coordination and requires more man-hours,resulting in slow and inefficient development of offshore wind power.Therefore,researching and designing an efficient design platform software that can combine all aspects of offshore wind power is of great significance to the electrical design of offshore wind farms.In this paper,the concept of integrated design is introduced into the pre-demonstration of offshore wind farms,the selection of wind turbines and the design of wind turbines.All the parts of wind farms are organically combined to achieve the visualization of design results and progress.While reducing the cost of wind farms,it also improve the wind farm’s anti-risk ability.Secondly,this thesis carries out overall architecture design,functional design,interface design and database design for the whole platform.The layered design idea is used to divide the platform into data model layer,business logic processing layer and user interface interaction layer,and it also carries out a detailed functional division to every layer.Finally,three optimization strategies are put forward for the joint optimization of power collection system and transmission system,which are the important part of offshore wind farms.They are comprehensive optimization,reconnaissance optimization and manual optimization respectively,which not only ensure the validity of the results but also improve the efficiency of optimization design.In the path planning of power transmission system,this paper also proposes a new algorithm called G-Dijkstra to improve the Dijkstra shortest path algorithm,which overcomes the shortcomings of the traditional Dijkstra algorithm.It reduces the overhead of storing graphs and computing edges by twice searching,and solves the problem that the traditional A*algorithm only considers the connection of adjacent nodes.The results show that the proposed algorithm is better than the traditional Dijkstra algorithm and the A*algorithm and is also better suited to the results of the path planning project of the offshore wind power transmission system.After the actual project validation,the design results achieved the desired goal. |