漂浮式光伏电站集电系统发电单元布局与电缆敷设协同优化

Abstract For floating photovoltaic power station (FPPS), its existing collector system design is mainly based on manual design, however, some defects exist such as low automation degree, poor economy, time-consuming and so on. Therefore, based on the definition of the minimum power generation unit, an optimization model is first set up that comprehensively considers the cost of generation units and cables, simultaneously satisfying constraints such as the power generation capacity and operation and maintenance channels of FPPS, then, a collaborative optimization scheme is proposed. For the proposed scheme, genetic algorithm (GA) is first applied to achieve the layout optimization of generation units, then, the improved fuzzy C-means (FCM) clustering algorithm is integrated with GA, DM-MSTP (Dhouib Matrix Minimum Spanning Tree Problem) algorithm and automatic cable selection algorithm to achieve the optimization of cable laying, and then, based on the update of optimization variable values and GA, the collaborative optimization of generation unit layout and cable laying is realized. Based on abovementioned researches, taking a FPPS in a real water area as an example, the proposed scheme is implemented and compared with manual design scheme, sequential optimization scheme, moreover, different collector system cable laying optimization scheme are compared with each other, and valuable research conclusions are shown.