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| Research on optimal capacity ratio and power flow analysis of the microgrid system |
| LI Qing1, WANG Wanjun2, ZHOU Zhenping3 |
1. Shaanxi University of Technology, Hanzhong, Shaanxi 723001;
2. Long Yuan (Beijing) Solar Energy Technology Co., Ltd, Beijing 100083;
3. Long Yuan (Beijing) Wind Power Engineering Technology Co., Ltd, Beijing 100083 |
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Abstract How to optimize the allocation of wind, photovoltaic and energy storage capacity in the microgrid system is a major problem faced by microgrid industry at present. This paper establishes the photovoltaic power generation system model using PVsyst software, considering the influence of temperature, dust and other factors, to accurately predict the power generation of photovoltaic system. The load data is tracked for a long time. The load growth in the next five years is considered by using the load density prediction method, and the existing load is analyzed in detail to establish a load model. Combined with the simulation analysis of Homer software, the research and analysis are carried out from the aspects of absorbing the residual power of photovoltaic power generation system and the difference between peak and valley electricity prices. With the lowest electricity cost as the goal, the optimal ratio of photovoltaic system and energy storage capacity in the microgrid system is given. Finally, the power flow analysis of the microgrid system is carried out through PSD-BPA software, and the voltage fluctuation range of the access node of photovoltaic system is verified to meet the specification requirements.
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Received: 07 July 2022
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| Cite this article: |
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LI Qing,WANG Wanjun,ZHOU Zhenping. Research on optimal capacity ratio and power flow analysis of the microgrid system[J]. Electrical Engineering, 2022, 23(12): 17-23.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2022/V23/I12/17
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[1] 张蓝宇, 李俊, 欧阳进, 等. 大型建筑屋顶分布式光伏发电项目的研究与应用[J]. 湖南电力, 2019, 39(6): 34-37.
[2] 陈景文, 肖妍, 莫瑞瑞, 等. 考虑光伏校正的微电网储能容量优化配置[J]. 电力系统保护与控制, 2021, 49(10): 59-66.
[3] 陆燕娟, 潘庭龙, 杨朝辉. 计及电动汽车的社区微网储能容量配置[J]. 太阳能学报, 2021, 42(12): 362-367.
[4] 张靖, 张志文, 胡斯佳, 等. 独立微电网风储协同调频的功率柔性分配策略[J]. 电工技术学报, 2022, 37(15): 3767-3780.
[5] 袁铁江, 张昱, 栗磊, 等. 计及功率密度约束含氢储能的预装式多元储能电站容量优化配置研究[J]. 电工技术学报, 2021, 36(3): 496-506.
[6] 宋宇, 李涵, 楚皓翔, 等. 计及可靠性的风光互补发电系统容量优化配比研究[J]. 电气技术, 2022, 23(6): 49-58, 68.
[7] 白桦, 王正用, 李晨, 等. 面向电网侧、新能源侧及用户侧的储能容量配置方法研究[J]. 电气技术, 2021, 22(1): 8-13.
[8] 牛东晓, 曹树华, 卢建昌. 电力负荷预测技术及其应用[M]. 2版. 北京: 中国电力出版社, 2009.
[9] AL-KARAGHOULI A, KAZMERSKI L L.Optimi- zation and life-cycle cost of health clinic PV system for a rural area in southern Iraq using HOMER software[J]. Solar Energy, 2010, 84(4): 710-714.
[10] 彭寒梅, 昌玲, 郭颖聪, 等. 主从控制微电网的动态区间潮流计算[J]. 电网技术, 2018, 42(1): 195-202.
[11] 电能质量供电电压偏差: GB/T 12325—2008[S] GB/T 12325—2008[S]. 北京: 中国标准出版社, 2009. |
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2022, Vol. 23 
