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Application of the Extension Taguchi Method to Optimal Capability Planning of a Stand-alone Power System

机译：扩展Taguchi方法在独立电力系统最佳容量规划中的应用

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An Extension Taguchi Method (ETM) is proposed on the optimized allocation of equipment capacity for solar cell power generation, wind power generation, full cells, electrolyzer and hydrogen tanks. The ETM is based on the domain knowledge containing the product specifications and allocation levels provided by suppliers and design factors since most of the renewable energy equipment available in the market comes with a specific capacity. A proper orthogonal array is used to collect 18 sets of simulation responses. The extension theory is introduced to determine the correlation function, and factor effects are used to identify the optimized capacity allocation. The hours of power shortage are simulated using Matlab for all capacity allocations at the lowest establishment cost and the optimized capacity allocation of loss of load probability (LOLP). Finally, the extension theory, extension AHP theory, ETM and Analytic Hierarchy Process (AHP) are used to determine the optimized capacity allocation of the system. Results are compared for the above four optimization simulation methods and verify that the proposed ETM surpasses the others on achieving the optimized capacity allocation.
机译：针对太阳能电池发电，风力发电，全电池，电解槽和氢气罐的设备容量的优化分配，提出了扩展口口方法（ETM）。 ETM基于领域知识，其中包含供应商提供的产品规格和分配水平以及设计因素，因为市场上可用的大多数可再生能源设备都具有特定的容量。适当的正交数组用于收集18组模拟响应。引入扩展理论来确定相关函数，并使用因子效应来确定优化的容量分配。使用Matlab以最低的建设成本和优化的负载分配概率（LOLP）对所有容量分配进行了电力短缺小时数的仿真。最后，使用扩展理论，扩展层次分析理论，ETM和层次分析法（AHP）确定系统的优化容量分配。对以上四种优化模拟方法的结果进行了比较，并验证了所提出的ETM在实现优化的容量分配方面优于其他ETM。

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