確保環境永續性下的穩健最佳化浮游式渦輪機設置

Abstract

海洋發電機的設置問題主要目的是在通過與電網連接的電纜最佳化發電效率。同時確保環境永續性，包括渦輪機的噪音及海流能量的耗散等因素。為了處理模糊參數(ambiguous parameters)，我們採用貪婪啟發式演算法(Greedy Heuristic Algorithm, GHA)應用於建立在雙層最佳化模型(Bi-level optimization model)上的海洋發電機的設置問題(BO-MCTIP)的所有場景中，其中上層模型決定海洋渦輪機的設置個數及佈局，下層模型決定與電網連結的拓樸結構。我們透過貪婪啟發式演算法得出的解，使用遺憾的大中取大的準則(Maximum relative regret decision rule)得到穩健解。最後將模型應用在台灣東南部的黑潮發電測試場作為個案研究。

The optimization of tidal turbine layout is to optimize the power efficiency with cable connection to the power grid while ensuring environmental sustainability including the factors of acoustic noise emissions and marine energy dissipation. To deal with ambiguous parameters, we employ the Greedy Heuristic Algorithm (GHA) to all scenarios of the proposed bi-level optimization model for solving the Marine Current Turbine Installation Problem (BO-MCTIP), where the upper level determines the installation layout with sustainability consideration and the lower level decides the connection topology to the power grid. We use the min-max relative regret decision rule to obtain the robust solution through the BO-MCTIP solutions. We apply this model to a numerical analysis conducted in the marine farm located in the southeastern region of Taiwan.