100MW급 해상풍력발전단지의 최적 배치에 관한 연구
A Study on the Layout Optimization for a 100MW Offshore Wind Farm
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초록
본 연구는 친환경 해상플랫폼의 최적 배치를 통한 해양공간계획의 경제적 효율성을 극대화하기 위해 수행한 기초 연구이다. 배치 최적화를 위해 메타 휴리스틱 알고리즘 중 연속적 개미 군집 최적화를 활용하였다. 서남해안 실증단지 인근 해역을 선정하여 NASA가 제공하는 MERRA-2 재해석 데이터를 활용하여 풍황모델링을 수행하였다. 터빈 배치, 풍향, 바람 발생 빈도수, 터빈과 단지 내부 전력케이블 비용을 함께 고려하여 최적화 목적함수를 도출하였다. 최적화 결과를 바탕으로 해상풍력발전단지의 배열 형태와 터빈의 간격에 따른 단지의 발전 성능을 계산하고 그에 따른 단지의 경제성을 평가하였다.
Abstract
This study is foundational research aimed at maximizing the economic efficiency of marine spatial planning through the optimal placement of eco-friendly maritime platforms. To achieve layout optimization, the study employed the Continuous Ant Colony Optimization (CACO) algorithm, which is one of the meta-heuristic algorithms. The offshore area near the Southwest Sea demonstration site was selected for wind resource modeling using reanalysis data provided by NASA's MERRA-2. The optimization objective function was derived by considering the turbine array, wind direction, the frequency of wind occurrence, and the costs of turbines and in-field cables within the wind farm. Based on the optimization results, the performance of the wind farm in terms of power generation was calculated, taking into account the array configuration and spacing of the wind turbines, and the economic feasibility of the farm was evaluated accordingly.
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