引用本文: | 金卓勍,向铁元,陈红坤,等.考虑电能质量问题的分布式光伏发电接入规划方法[J].电力系统保护与控制,2017,45(9):1-8.[点击复制] |
JIN Zhuoqing,XIANG Tieyuan,CHEN Hongkun,et al.Planning method of distributed photovoltaic power generation considering power quality[J].Power System Protection and Control,2017,45(9):1-8[点击复制] |
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摘要: |
分布式光伏电源由于自身特点及其出力会随环境因素变化,接入后容易造成电网的电能质量越限。将在分布式光伏发电接入配电网的规划阶段考虑电能质量问题,提出一种考虑电能质量问题的分布式光伏发电的规划方法。在确定基于最大接入容量的光伏电源优化配置的接入方案后,取接入点的电流总谐波畸变率、电压偏差和电压波动作为表征配电网电能质量的特征量,用数据包络分析的方法评估接入点的电能质量,对不符合电能质量标准的接入点给出修正方案。最后得到一种电能质量水平达标的分布式光伏发电的规划方案,并在算例中结果验证了所提方法的有效性。 |
关键词: 分布式光伏发电 配电网规划 电能质量评估 随机粒子群算法 数据包络分析 |
DOI:10.7667/PSPC160704 |
投稿时间:2016-05-16修订日期:2016-08-27 |
基金项目:国家自然科学基金项目(51207113) |
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Planning method of distributed photovoltaic power generation considering power quality |
JIN Zhuoqing,XIANG Tieyuan,CHEN Hongkun,CHEN Ruonan,TAO Yuan |
(School of Electrical Engineering, Wuhan University, Wuhan 430072, China) |
Abstract: |
Because the characteristic of distributed photovoltaic and its output varies from environment, it’s likely to cause power quality problems after it is accessed to grid. This paper considers power quality problems in distributed PV planning stage in distributed network and introduces a planning method considering power quality problems of distributed photovoltaic power generation. After determining the planning method based on the optimal configuration about maximum allowed capacity of photovoltaic power, this paper selects the total harmonic distortion of access point, voltage deviation and voltage fluctuations as characteristic quantity data of network power quality; and uses envelopment analysis methods to assess power quality levels at access point; aiming at the proposals which do not meet the power quality standards, the correction programs are given. Then a distributed photovoltaic power generation planning program whose power quality meets standard level is proposed. And the effectiveness will be demonstrated in calculation example. This work is supported by National Natural Science Foundation of China (No. 51207113). |
Key words: distributed photovoltaic power generation distribution network planning power quality assessment stochastic particle swarm data envelopment analysis |