摘要
随着风电、光伏等新能源在电网中的装机比例不断提升,新能源的间歇性、波动性给电网的安全稳定运行带来了诸多挑战。在现阶段,储能电池容量的配置原则与方法是实际储能工程建设中面临的问题之一。本文以平滑新能源并网功率波动为目标,结合储能电站当地风、光资源特性,采用离散傅里叶变换分解新能源功率得到其频域信息,并利用电池储能对高频波动分量进行平抑,提出了一种考虑单日电量均衡的储能容量配置方法。以新疆哈密地区某风场历史出力数据为样本对上述储能容量配置方法开展了研究,结果表明:本方法可以根据新能源出力并网波动率目标科学配置储能容量,且保证储能均衡连续运行,对电池储能工程建设具有指导意义与实用价值。
With the increasing proportion of renewable energy represented by wind power and photovoltaic power, the inter-mittence and strong volatility of renewable energy bring many challenges to the safe and stable operation of the power system. In present stage, configuration principle and method of the energy storage battery capacity is one of the problems in practical energy storage engineering constructions. In this paper, smooth new energy grid power fluctuations is taked as the goal, combined with the local wind and light resources, renewable energy power is decomposed and frequency domain information is obtained by discrete Fourier transformation. Battery energy is used to transfer the high-frequency volatility components, a battery energy storage capacity configuration method considering daily power is proposed. Analysis of historical monitoring data of a wind farm in Hami, Xinjiang province verifies the applicability of the proposed method. The results show the proposed method can scientifically configure energy storage capacity according to the grid-connected volatility of renewable energy output and ensure the continuous operation of energy storage, thus provides a guiding significance and practical value for the construction of battery energy storage engineering.
作者
魏远
张欢畅
黄正勇
黄兴宇
汪洪诺
WEI Yuan;ZHANG Huanchang;HUANG Zhengyong;HUANG Xingyu;WANG Hongnuo(Northwest Electric Power Design Institute of China Power Engineering Consulting Group, Xi an 710075, China;State KeyLaboratory of Power Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)
出处
《南方电网技术》
CSCD
北大核心
2019年第3期12-17,32,共7页
Southern Power System Technology
基金
国家自然科学基金青年科学基金资助项目(51707016)~~
关键词
新能源
波动性
频谱分析
储能容量配置
renewable energy
volatility
spectrum analysis
energy storage capacity configuration