Research on the output characteristics of new energy in regional power grid

RAO Gang; YANG Jie; GUO Yuanping; ZHANG Yan; LIU Xingyan; YIN Jia

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Research on the output characteristics of new energy in regional power grid

更新时间：2025-09-25

- Research on the output characteristics of new energy in regional power grid
- Issue 5, (2025)
- 作者机构：
  
  1. 广东省能源集团西南(贵州）电力投资有限公司
  2. 贵州电网有限责任公司电网规划研究中心
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2025
- 稿件说明：
移动端阅览
RAO Gang, YANG Jie, GUO Yuanping, et al. Research on the output characteristics of new energy in regional power grid[J]. 2025, (5).
DOI：

RAO Gang, YANG Jie, GUO Yuanping, et al. Research on the output characteristics of new energy in regional power grid[J]. 2025, (5). DOI：

摘要

挖掘新能源电力的出力特性对电网规划与电网调峰具有指导性意义，也是构建新型电力系统的重点关注内容。基于此，本文依据贵州省某区域近三年风电和光伏的时序出力数据，构建了较为合理的新能源出力特性评价体系，并借助建模分析输出特性参数，例如出力分布、置信容量、有效容量以及典型日出力特性曲线。研究表明，该区域风电出力的季节性特征不如光伏明显，但出力波动性高于光伏。在负荷晚高峰期间，风电夏季电力保供能力为装机容量的1.85%，冬季则为0.02%；而光伏在晚高峰期间无电力产生，电力保供能力为0%。此外，在95%消纳率下，该区域风电最大出力为装机容量的51.20%，光伏最大出力为装机容量的57.55%。同时，风电和光伏在出力枯期将加剧电力系统的调峰困境。

Abstract

Excavating the output characteristics of new energy power has instructive significance in power grid planning and peak load regulation

and is also a key focus of new-type power system construction. Based on this

this paper has established a relatively reasonable evaluation system for new energy output characteristics based on time-series big output data from wind and photovoltaic power plants in a certain region of Guizhou Province over the past three years

and has analyzed output characteristic parameters through modeling analysis

such as power distribution

capacity credit

effective capacity

and typical daily power balance curves. The research shows that the seasonal characteristics of wind power in this region are not as obvious as those of photovoltaic power

but the output fluctuation of wind power is higher than that of photovoltaic power. During the evening peak load period

the capacity credit of wind power is 1.85% of the installed capacity in summer and 0.02% in winter

while the capacity credit of photovoltaic power is 0% due to the lack of power generation during the evening. In addition

under a 95% accommodation rate

the maximum output of wind power in this region is 51.20% of the installed capacity

and that of photovoltaic power is 57.55%. Furthermore

the wind power and photovoltaic power in this region will aggravate the difficulty of power system peak load regulation during power shortage period.

关键词

Keywords

references

陈国平, 董昱, 梁志峰. 能源转型中的中国特色新能源高质量发展分析与思考[J]. 中国电机工程学报, 2020, 40(17): 5493-5506.

时宇飞, 王俊翔, 林君豪, 等. 新能源高渗透率下的区域电网发展阶段划分方法研究[J]. 电力大数据, 2023, 26(08): 32-41.

CHENG Xin, WU Tong, YAO Wei, et al. A selection method for new energy output guaranteed rate considering optimal energy storage configuration[J]. CSEE Journal of Power and Energy Systems, 2020, 10(2): 539-547.

陈雷, 卢斯煜. 风电场出力特性与集群效应分析方法研究[J]. 南方能源建设, 2017, 4(01): 31-37.

李明节, 陈国平, 董存, 等. 新能源电力系统电力电量平衡问题研究[J]. 电网技术, 2019, 43(11): 3979-3986.

刘文霞, 何向刚, 吴方权, 等. 新能源发电出力特性指标及其数据化应用[J]. 电网与清洁能源, 2020, 36(9): 85-92.

WANG Yibo, SHAO Xinyao, LIU Chuang, et al. Analysis of wind farm output characteristics based on descriptive statistical analysis and envelope domain[J]. Energy, 2019, 170: 580-591.

SHI Wenhui, FENG Changyou, QU Jixian, et al. Analysis and model on space-time characteristics of wind power output based on the measured wind speed data[J]. IOP Conference Series: Earth and Environmental Science, 2018, 121: 042028.

LIANG Yuzhi, LI Shanying, LI Qunju, et al. Study on characteristics of wind power output in Jing-Jin-Tang grid[J]. Advanced Materials Research, 2013, 608: 543-546.

王建学, 张耀, 万筱钟, 等. 面向电网运行的新能源出力特性指标体系研究——风电出力特性指标体系[J]. 电网与清洁能源, 2016, 32(2): 42-51.

王建学, 张耀, 万筱钟. 光伏出力特性指标体系和分类典型曲线研究[J]. 电力需求侧管理, 2017, 19(5): 8-12.

魏刚, 范雪峰, 张中丹, 等. 风电和光伏发展对甘肃电网规划协调性的影响及对策建议[J]. 电力系统保护与控制, 2015, 43(24): 135-141-12.

AMELIN M. Comparison of capacity credit calculation methods for conventional power plants and wind power[J]. IEEE Transactions on Power Systems, 2009, 24(2): 685-691.

张宁, 康重庆, 肖晋宇, 等. 风电容量可信度研究综述与展望[J]. 中国电机工程学报, 2015, 35(01): 82-94.

梁双, 胡学浩, 张东霞, 等. 光伏发电置信容量的研究现状与发展趋势[J]. 电力系统自动化, 2011, 35(19): 101-107.

吕艳军, 胡荣, 杜云, 等. 贵州电网风电出力特性研究[J]. 中低纬山地气象, 2021, 45(3): 88-93.

苏步芸, 王诗超. 新型电力系统背景下新能源送出合理消纳率研究[J]. 南方能源建设, 2023, 10(06) :43-50.

孙沛, 赵亮, 田宏梁, 等. 考虑出力特性的光热参与电力平衡容量研究[J]. 电工电能新技术, 2024, 43(03): 103-112.

魏聪, 白帆, 方开俊, 等. 基于风电容量可信度的电力电量平衡优化模型[J]. 智慧电力, 2018, 46(08): 25-31.

周鑫, 张慧玲, 刘娟楠. 大规模风电接入对宁夏电网调峰的影响研究[J]. 电网与清洁能源, 2014, 30(2): 105-110.

杨冬锋, 周苏荃, 鲍锋. 风电并网系统低谷时段的调峰能力分析[J]. 电网技术, 2014, 38(6): 1446-1451.

张宁, 周天睿, 段长刚, 等. 大规模风电场接入对电力系统调峰的影响[J]. 电网技术, 2010, 34(1): 152-158.

陈典, 陆润钊, 张松涛, 等. 新型电力系统电力电量平衡计算分析技术综述[J]. 电网技术, 2023, 47(10): 3952-3970.

向异, 金吉良, 赵鑫, 等. 基于统计学特征的西北电网新能源资源特性分析[J]. 电网与清洁能源, 2023, 39(1): 120-127.