基于电网聚合模型的新能源接纳能力评价与分析

段建民, 王志新, 王承民

分布式能源 ›› 2019, Vol. 4 ›› Issue (5) : 42-49.

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PDF(1382 KB)
分布式能源 ›› 2019, Vol. 4 ›› Issue (5) : 42-49. DOI: 10.16513/j.2096-2185.DE.191098
可再生能源消纳技术

基于电网聚合模型的新能源接纳能力评价与分析

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Evaluation and Analysis of the Capability of New Energy Integration Based on Grid Aggregation Mode

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摘要

随着以风力发电、光伏发电为代表的可再生能源的飞速发展,可再生能源在电力系统中的装机容量与日俱增。当风电和光伏电源占系统总电源装机比例较小时,电力系统能够充分接纳风电和光伏并网发电;而当风电和光伏达到一定规模后,其出力的间歇性、波动性,使其对系统的影响不可忽视,有必要对可再生能源的接纳能力进行研究。以某地区的历史负荷、可再生能源出力为基础,给出负荷曲线及新能源出力曲线,并基于电网聚合模型,对该地区电源规划的合理性进行评估,在评估的基础上对该地区可再生能源消纳能力极限进行研究。

Abstract

With the rapid development of renewable energy represented by wind power generation and photovoltaic power generation, the installed capacity of renewable energy in the power system is increasing day by day.When the installed capacity of wind and photovoltaic power account is for a small proportion of the total power supply installed in the system, wind and photovoltaic generation can be fully accepted by the power system. However, when the installed capacity of wind and photovoltaic power reaches a certain scale, the influence of intermittentity and fluctuation of their generation on power system can not be neglected. It is necessary to study the capacity of renewable energy integration. Based on the historical load and renewable energy output of a region, load and the renewable energy generation output curves were predicted in this paper. Based on the grid aggregation model, the rationality of power planning in this area was evaluated. On the basis of the evaluation, the limits of the accommodation capacity of renewable energy in this region were studied.

关键词

生产模拟 / 负荷预测 / 新能源消纳

Key words

production simulation / load forecasting / renewable energy accommodation

引用本文

导出引用
Jianmin DUAN, Zhixin WANG, Chengmin WANG. 基于电网聚合模型的新能源接纳能力评价与分析[J]. 分布式能源. 2019, 4(5): 42-49 https://doi.org/10.16513/j.2096-2185.DE.191098
Evaluation and Analysis of the Capability of New Energy Integration Based on Grid Aggregation Mode[J]. Distributed Energy Resources. 2019, 4(5): 42-49 https://doi.org/10.16513/j.2096-2185.DE.191098
中图分类号: TK01   

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