Dynamic optimization method of wind farm locations with the goal of optimizing static investment per unit of electricity

By establishing a model of fan spacing, unit model and unit static investment in a wind farm, and using multi-factor cross-feedback to optimize the location layout of the wind farm, the problems of long site selection time, large errors and unquantitled economic costs in the existing technology are solved, and the effects of optimal static investment in unit static electricity and improving economic benefits are achieved.

CN114611789BActive Publication Date: 2025-03-18CHANGJIANG SURVEY PLANNING DESIGN & RES CO LTD
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Patent Information

Application Number
CN202210235601.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-03-11
Publication Date
2025-03-18
Estimated Expiration
2042-03-11

AI Technical Summary

Technical Problem

The existing dynamic planning method for wind farms relies on engineering experience and comprehensive analysis of topographic maps, resulting in long site selection time, large errors, and failure to effectively quantify economic costs, making it difficult to meet the refined requirements of site selection for complex wind farms.

Method used

A dynamic optimization method for wind farm engine seats aimed at optimal static investment per unit of electricity is proposed. Through multi-factor cross-feedback on wind resource utilization, cost reduction of civil engineering and electrical engineering, and financial indicator efficiency enhancement, a model of fan spacing, unit model and unit power investment per unit of electricity is established, and the formula is calculated and quantified to optimize the location of wind farm engine seats.

Benefits of technology

It reduces static investment per unit of electricity, improves the economic benefits of wind farms, reduces site selection time, improves site selection accuracy, and reduces artificial errors.

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Abstract

The present invention discloses a method for dynamically optimizing the position of a wind farm with the goal of optimizing the static investment per unit of electric energy, which comprises the following steps in sequence: (1) preliminarily determining the unit model, (2) preliminarily arranging the wind turbines, (3) establishing a static investment model per unit of electric energy for the wind turbine arrangement and the unit model, (4) optimizing the wind turbine unit model, and (5) optimizing the wind turbine arrangement. The present invention comprehensively considers multiple factors such as wind resource utilization, cost reduction of civil engineering and electrical engineering, and comprehensive optimization of financial indicators to determine the optimal wind farm unit model and wind turbine spacing, and proposes a comprehensive calculation method for a reasonable wind farm unit model and wind turbine spacing that pursues the optimal static investment per unit of electric energy.
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