Capacity-Credit Evaluation of Renewable Energy Power in Jiaxing City based on Monte-Carlo Simulation

Keping Zhu, Yingjing He, Yujing Li, Pengfei Hu
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引用次数: 1

Abstract

In the next few years, Zhejiang's photovoltaic and offshore wind power will usher in substantial growth. As the continuous expansion of photovoltaic and offshore wind power installations, and the current grid planning needs and renewable energy development trends, it is of great importance to establish a capacity credit model for renewable energy output, which provides a basis for the realization of power system balance. This paper adopts the renewable energy capacity credit calculation method based on sequential Monte-Carlo simulation, and the evaluation of capacity credit adopts the secant method. According to the specific data of Jiaxing City's load, conventional machine assembly capacity, photovoltaic resources, wind resources, etc. in 2020, detailed simulation modeling and calculations have been carried out for the capacity credit of two renewable energy power generation scenarios, photovoltaic and wind power. Then, according to the results, the capacity credit of the local renewable energy power generation in Jiaxing City is analyzed with the change of renewable energy capacity, and recommendations are provided for the future development trend of photovoltaic and wind power in Jiaxing City.
基于蒙特卡罗模拟的嘉兴市可再生能源电力容量信用评估
未来几年,浙江光伏和海上风电将迎来大幅增长。随着光伏和海上风电装机规模的不断扩大,以及当前电网规划需求和可再生能源发展趋势,建立可再生能源输出容量信用模型具有重要意义,为实现电力系统平衡提供了基础。本文采用基于序贯蒙特卡罗模拟的可再生能源容量信用计算方法,容量信用评估采用割线法。根据2020年嘉兴市负荷、常规机装机容量、光伏资源、风力资源等具体数据,对光伏和风电两种可再生能源发电场景的容量信用进行了详细的仿真建模和计算。然后,根据研究结果,对嘉兴市当地可再生能源发电的容量信用随可再生能源发电容量的变化进行分析,并对嘉兴市光伏和风电的未来发展趋势提出建议。
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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