基于能源需求响应和分布式储能的风电并网调节方法

梁翀; 高亨; 严旭; 陈珏羽

doi:10.16513/j.cnki.10-1427/tk.2018.02.009

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分布式能源 ›› 2018, Vol. 3 ›› Issue (2) : 58-62. DOI: 10.16513/j.cnki.10-1427/tk.2018.02.009

基于能源需求响应和分布式储能的风电并网调节方法

作者信息 +

Control Strategy for Wind Power Integration Based on Energy Demand Respond and Distributed Energy Storage

Author information +

文章历史 +

摘要

2016年底中国风电装机容量快速增长达到169 GW。自2014年以来中国的弃风量飙升，2016年全国弃风量约达497亿 kW·h，相当于南京市年耗电量。我国煤电结构和风能的波动特性，使大规模风电并网发电日益困难。分布式储能技术已成为改善可再生能源并网的关键技术。首先分析比较现有适用于改善风电并网的多种分布式储能技术；然后考虑利用我国大量热电联产机组，提出可降低风电并网调峰容量的风电并网控制策略。控制中心通过降低热电联产机组发热功率和控制分布式储能系统负荷功率获得额外可调度的发电容量；用户相应地使用电热泵来补偿供暖以弥补热电联产减少的发热量。仿真结果表明，该控制策略可使峰谷差等效减小，从而减轻大规模风电并网的调峰压力。

Abstract

Installed capacity of wind power has reached 169 GW by the end of 2016 in China. However, China's abandoned wind power generation has soared since 2014 and about 4.97 billion kW·h was abandoned in 2016, which nearly equalled annual electricity consumption of Nanjing. The fluctuation of wind energy and coal power structure in China make large-scale wind power integration more difficult. Distributed energy storage has been regarded as a keytechnology to improve renewable energy integration. This paper analyses and compares several existing kinds of distributed energy storage for improving wind power integration. Then considering amass of cogeneration units in China, control strategy for wind power integration is proposed to reduce the peak regulation capacity for wind power integration. Control center reduces the heat capacity of cogeneration units and controls exchanged power of distributed energy storage systems with distribution network to obtain extra schedulable generated power. The affected users accordingly use heat pumps to compensate the lack of heat production from cogeneration. As a result, the peak-valley load difference can be equivalently reduced to relieve peaking pressure for wind power integration.

导出引用

梁翀,高亨,严旭,陈珏羽. 基于能源需求响应和分布式储能的风电并网调节方法[J]. 分布式能源. 2018, 3(2): 58-62 https://doi.org/10.16513/j.cnki.10-1427/tk.2018.02.009

LIANG Chong,GAO Heng,YAN Xu,CHEN Jueyu. Control Strategy for Wind Power Integration Based on Energy Demand Respond and Distributed Energy Storage[J]. Distributed Energy Resources. 2018, 3(2): 58-62 https://doi.org/10.16513/j.cnki.10-1427/tk.2018.02.009

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