石油科技论坛 ›› 2024, Vol. 43 ›› Issue (1): 66-70.DOI: 10.3969/j.issn.1002-302X.2024.01.008

• 新能源产业专刊 • 上一篇    下一篇

提高光伏发电经济性关键设计要点分析

郭永强1,孙强2,刘会军1   

  1. 1. 中国石油规划总院; 2. 中国石油油气和新能源分公司
  • 出版日期:2024-02-29 发布日期:2024-03-01

Analysis of Key Design Points to Improve Economic Performance of PV Power Generation

Guo Yongqiang1, Sun Qiang12, Liu Huijun1   

  1. 1. PetroChina Planning and Engineering Institute, Beijing 100083, China; 2. PetroChina Oil, Gas & New Energies Company, Beijing 100007, China
  • Online:2024-02-29 Published:2024-03-01

摘要: 我国光伏产业近年迎来迅猛发展,在新能源平价上网的规定要求下,如何提高光伏发电的经济性一直是各界关注焦点。光伏发电经济效益主要受初始投资、发电量、运维成本等因素影响。文章结合光伏电站平准化度电成本原则和方法,重点对影响光伏电站发电量的因素进行分析,提出为确保光伏电站经济效益最大化,需要结合项目特点,对光伏组件、逆变器等关键设备选择及容配比设置等关键设计要点进行综合全面的对比研究,从而得出最优的设计方案。以某100MW山地光伏发电项目为例,分析对比结果为:相同边界条件下,N型光伏组件转化效率、经济性优于P型组件,组串式逆变器的度电成本优于集中式,光伏电站度电成本随着容配比例提高出现先降后升趋势。

Abstract: China’s photovoltaic industry has experienced a rapid development in recent years. Under the requirements on connecting new energy power into the grid at fair price, how to improve economic performance of photovoltaic power generation has drawn attention from the industrial community. Economic performance of photovoltaic power generation is influenced by a series of factors,such as initial investment, power generation and operational and maintaining costs. This article takes into account the principles and methods for levelized cost of electricity (LCOE) of PV power stations and analyzes the factors affecting the power generation of PV power stations. To maximize economic performance of PV power stations, the article points out that it is necessary to make a comparative study of the key designing points in the light of the project characteristics, such as selection of the key equipment like PV components and inverters and setup of the capacity ratio, thus acquiring the best design plan. Taking a certain 100 MW mountainous PV power project for instance, the results from analysis and comparation shows that the conversion efficiency and economic performance of the N-type PV components are better than those of the P-type while LCOE of string inverter is better than that of centralized inverter. LCOE of PV power stations sees the trend for first declining and then rising with a higher capacity ratio.