| 引用本文: | 方保民,李红志,孔祥鹏,杨永标.含高比例光伏出力的长期分布式储能配置研究[J].电力系统保护与控制,2021,49(2):121-129.[点击复制] |
| FANG Baomin,LI Hongzhi,KONG Xiangpeng,YANG Yongbiao.Research on long-term distributed energy storage configuration with a high proportion of photovoltaic output[J].Power System Protection and Control,2021,49(2):121-129[点击复制] |
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| 摘要: |
| 由于光伏出力的不稳定性，在包含高比例光伏出力的区域，需要配置储能设备才能实现能源供需平衡。为实现长期经济效益最大化，应分析含高比例光伏出力区域的分布式储能优化方法，设计分布式储能的选址和容量分配方案。首先，针对光伏出力的间歇性，从电量出发，利用改进的快速排序算法建立了特征光伏曲线的选择算法。其次，利用FCM模糊聚类算法，设计了用能曲线的选择算法。分析选择的曲线，得到每个用户的特征电量。以特征电量和成本为依据，得出了储能站的位置选择和容量关联方程。再次，采用贪心算法的基本思路对方程进行求解，得到了最优的储能配置方程。对方程进行优化，可以将储能的容量分配至不同的用户。此外，还考虑了未来因素对储能配置的影响。最后，为了验证算法的有效性，以某工业园区的数据为依据进行了实验分析，取得了较好的效果。 |
| 关键词: 光伏 储能 快速排序 模糊聚类 贪心算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.200379 |
| 投稿时间：2020-04-10修订日期：2020-07-13 |
| 基金项目:国家自然科学基金项目资助(51877044) |
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| Research on long-term distributed energy storage configuration with a high proportion of photovoltaic output |
| FANG Baomin,LI Hongzhi,KONG Xiangpeng,YANG Yongbiao |
| (1. State Grid Qinghai Electric Power Company, Xining 810008, China; 2. Southeast University, Nanjing 211189, China) |
| Abstract: |
| Because of the instability of photovoltaic output, energy storage equipment is required in an area containing a high proportion of photovoltaic output to achieve the balance of energy supply and demand. In order to maximize long-term economic benefits, an optimization method of distributed energy storage with high proportion of photovoltaic output area should be analyzed, and the site selection and capacity allocation scheme of distributed energy storage should be designed. First, in view of the intermittence of photovoltaic output, an algorithm for selecting characteristic photovoltaic curves is established based on an improved rapid sorting algorithm. Secondly, the selection algorithm of the energy curve is designed using an FCM fuzzy clustering algorithm. The selected curve is analyzed to get the characteristic electric quantity of each user. Based on the characteristic power and cost, the position selection and capacity equation of the energy storage station are obtained. Thirdly, the basic idea of a greedy algorithm is adopted to solve the equation, and the optimal energy storage configuration equation is obtained. By optimizing the equation, the energy storage capacity can be allocated to different users. In addition, the influence of future factors on the energy storage configuration is also considered. Finally, in order to verify the effectiveness of the algorithm, the experimental analysis is carried out based on the data of an industrial park, and good results are obtained.
This work is supported by the National Natural Science Foundation of China (No. 51877044). |
| Key words: photovoltaic (PV) energy storage quick sort fuzzy clustering greedy algorithm |
