Wind power plant machine set layout multi-objective optimizing method

Abstract

The invention discloses a wind power plant machine set layout multi-objective optimizing method. The wind power plant machine set layout multi-objective optimizing method includes the steps that a constraint multi-objective optimization model for wind power plant machine set layout optimization is built, a minimized wind power plant entire life-cycle cost and maximized wind power plant annual energy output serve as optimization objectives, and minimum wind turbine mounting spacing and wind power plant site limitation serve as constraint conditions; the constraint multi-objective optimization model is solved, and a Pareto optimal solution set is output; an optimal case is selected from the Pareto optimal solution set. According to the wind power plant machine set layout multi-objective optimizing method, the minimized wind power plant entire life-cycle cost and the maximized wind power plant annual energy output serve as the optimization objectives to carry out wind power plant machineset layout optimization design; besides, the minimum wind turbine mounting spacing and the wind power plant site limitation are taken into account and serve as the constraint conditions, which betteraccords with practical conditions; when problems are solved, an evolutionary multi-objective optimization algorithm is adopted, the Pareto optimal solution set in which the solutions have advantages and disadvantages can be found at the same time, therefore, requirements of different users are met, and the wind power plant machine set layout multi-objective optimizing method can be selectively implemented according to the practical conditions.

Description

technical field [0001] The invention relates to the technical field of renewable energy, and more specifically relates to a multi-objective optimization method for wind farm unit layout. Background technique [0002] In recent years, countries all over the world are vigorously developing renewable energy technologies such as solar energy and wind energy to solve the increasingly prominent energy crisis and environmental degradation problems, so as to achieve sustainable economic and social development. As a cheap and abundant clean renewable resource, wind power has been widely valued. [0003] The layout optimization of wind farm units is an important method to effectively utilize wind resources and increase wind power generation. , with the goal of maximum power generation, minimum investment cost, and minimum noise of the wind farm, the rational arrangement of each wind turbine in the wind farm is also called micro-site selection of the wind farm. [0004] At present, m...

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Problems solved by technology

Although some studies consider maximizing power generation and minimizing life-cycle cost at the same time, there are deficiencies in the calculation of wind power generation and life-cycle cost. The flow effect does not take into account the influence of different installation heights of wind turbines on power generation due to the influence of complex terrain; in the calculation of life cycle costs, the impact of complex terrain on total investment and operation and maintenance costs is not considered

In addition, existing research generally assumes that the wind farm construction site is a flat area, without considering the impact of complex terrain on layout optimization; existing research generally assumes that the wind farm construction area is unconstrained (that is, wind turbines can be installed anywhere) , did not take into account such as natural conditions or man-made restrictions (such as prohibiting the installation of wind turbines in water sources)

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