Effects of Photovoltaic Generation System on the Contract Capacity Selection of Time-Of-Use Rate Industrial Users

Tsung-Ying Lee, Chun-Lung Chen
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引用次数: 1

Abstract

This paper investigates the effects of photovoltaic generation system (PVGS) on the selection of contract capacities for time-of-use (TOU) rate industrial users. A benefit cost ratio (BCR) was served to evaluate the economic benefits of PVGS in TOU rate industrial users. Evolutionary programming (EP) is applied to solve the optimal installation capacity of PVGS and the optimal contract capacities for TOU rate industrial users. The impacts of PVGS installation capacity on the selection of contract capacities for TOU rate industrial users were evaluated. To apply the EP to solve the previous problem, an individual which was composed of PVGS installation capacity and TOU rate user contract capacities, was defined. A fitness function evaluates the economic benefits of PVGS was applied to calculate the fitness of individual. After that EP starts to calculate the optimal PVGS installation capacity and TOU rate user contract capacities. Through the cooperation of agents called individuals, the near optimal solution of the previous problem can be effectively reached. Finally, a numerical example was served to demonstrate the feasibility of the new approach, and EP solution quality and computation efficiency were compared to those of other algorithms.
光伏发电系统对分时电价工业用户合同容量选择的影响
本文研究光伏发电系统(PVGS)对分时电价(TOU)工业用户合同容量选择的影响。采用效益成本比(BCR)评价了PVGS在分时电价工业用户中的经济效益。应用进化规划(EP)方法求解了PVGS的最优装机容量和分时电价工业用户的最优合同容量。评估了PVGS装机容量对分时电价工业用户合同容量选择的影响。为了应用EP解决上述问题,定义了一个由PVGS装机容量和分时电价用户合同容量组成的个体。采用评价PVGS经济效益的适应度函数计算个体适应度。之后,EP开始计算PVGS最优装机容量和分时电价用户合同容量。通过被称为个体的代理的合作,可以有效地达到前一个问题的近最优解。最后,通过数值算例验证了该方法的可行性,并与其他算法的EP解质量和计算效率进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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