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为解决海岛的缺水问题,设计了一种利用新能源发电来驱动海水淡化的方案,并建立了新能源发电系统的数学模型和优化模型。优化模型以最小发电成本为优化目标,失负荷率和蓄电池的荷电状态为约束条件,光伏电池的功率、风力发电机的数量、蓄电池的容量等为优化变量,对方案的经济指标和技术指标进行优化。选取实例进一步设计说明,实例中利用Homer软件分别模拟优化独立风能发电系统、独立光伏发电系统和风光混合发电系统,求解优化方案。通过对优化方案分析,计算出海水淡化装置每月的日均产水量。新能源与反渗透海水淡化装置耦合,具有经济性、环保性和独立性。
In order to solve the problem of water shortage in the island, a scheme of using new energy to drive seawater desalination was designed and a mathematical model and an optimization model of a new energy power generation system were established. The optimized model takes the minimum power generation cost as the optimization target, the load shedding rate and the state of charge of the battery as the constraint conditions, and the photovoltaic power, the number of wind turbines and the capacity of the battery are the optimization variables. The economic and technical indicators optimize. In the example, Homer software is used to simulate and optimize the independent wind power generation system, the independent photovoltaic power generation system and the hybrid wind power generation system respectively to solve the optimization plan. By analyzing the optimization scheme, the daily average water yield of the desalination unit is calculated. New energy and reverse osmosis desalination plant coupling, with economic, environmental and independence.