Research On Multi-objective Optimization Of Offshore Wind Power Construction Based On PSO Algorithm

With the introduction of the carbon neutral goal,China will strictly follow the requirements of the goal,vigorously promote the installed scale and technical level of clean energy projects such as photovoltaic power generation,wind power generation,etc.,to replace the traditional fossil fuel power generation projects,so as to achieve carbon neutral.With the strong support of a series of national preferential policies,renewable energy represented by photovoltaic power generation and wind power generation has achieved leapfrog development with an average annual growth rate of more than 35%.However,in the field of wind power,the current installed capacity is still dominated by onshore wind power.As a big country with a long coastline,China currently has proven reserves of 750 million k W offshore wind energy that can be developed and utilized.The development of offshore wind power projects in China has a very broad prospect and will become the mainstream direction of China’s wind power development and construction in the future.Aiming at solving the multi-objective optimization problem of offshore wind power project,combined with the main characteristics and objective conditions for the existence of its own,and in view of the time limit for a project,cost,quality and safety level four main control target correlation analysis,the relationship between proved in detail using the theory of multi-objective optimization ideas to solve the rationality and effectiveness of the offshore wind power project construction management,And using the traditional mathematical means to seek the optimal solution and the use of intelligent optimization algorithm for the two main solutions are compared,and the multi-objective optimization problem and particle swarm optimization algorithm related to the basic theory are introduced in detail.At the same time,in accordance with the specific features of the offshore wind projects,to clear the multi-objective optimization problem of project cost,schedule and quality of the connotation of the three main goals,and introduce the concept of comprehensive security level,which is the core of the project decision-making stage master target to the different construction organization to implement comprehensive optimization for the whole project,The multi-objective optimization model of offshore wind power engineering is built around four main control objectives,namely,time limit,quality,cost and safety level.Finally,through an example of offshore wind power construction project,particle swarm optimization algorithm is used to solve the model established above,and a group of optimal solutions conforming to the set conditions of the model are obtained,and the entropy weight-TOPSIS method is used to select the optimal solutions.Finally obtaining the results of the basic implementation for offshore wind project schedule,cost,quality and safety level four master goal can achieve overall optimization at the same time,this paper puts forward the integrated optimization model has been proved effective and solving ways,in dealing with Marine engineering project in the process of multi-objective optimization problem has certain universality and advanced.The research in this paper provides a new solution for the application of multi-objective optimization problem in the management of offshore wind power construction projects,so as to ensure that the construction period is shortened and the cost is reduced,and major quality and safety accidents caused by decision-making errors are avoided,so as to make the construction decisions more scientific and efficient.At the same time,the multi-objective optimization model proposed in this study also has good generality,and can be conveniently applied to other similar engineering project construction fields to solve the related problems in its multi-objective optimization task field.